En-Hong Chen


Ph.D., Professor, IEEE Fellow, ACM Distinguished Member

Vice Dean

Faculty of Information and Intelligence, University of Science and Technology of China (USTC)

Vice Director

State Key Laboratory of Cognitive Intelligence

Director

Anhui Province Key Laboratory of Big Data Analysis and Application

Correspondence

Telephone: +86-551-63601558
Email:
Homepage: http://staff.ustc.edu.cn/~cheneh
Office: Room 625, Diansan Building, West Campus of USTC
Mail: En-Hong Chen, School of Computer Science and Technology, University of Science and Technology of China (USTC), Hefei, Anhui,230027

[Brief Biography]           [Selected Publications]           [Academic Activities]           [Awards]           [Courses]          

Brief Biography

I am a Professor, vice dean of Faculty of Information and Intelligence of University of Science and Technology of China(USTC), CCF Fellow, IEEE Fellow, ACM Distinguished Member, winner of the National Science Fund for Distinguished Young Scholars (in 2013), and member of the Decision Advisory Committee of Shanghai (Since June, 2018). I am also the vice director of the National Engineer Laboratory for Speech and Language Information Processing, the director of Anhui Province Key Laboratory of Big Data Analysis and Application, and the chairman of Anhui Province Big Data Industry Alliance. I received my B.S degree from Anhui University in 1989, Master degree from Hefei University of Technology in 1992 and Ph.D degree in computer science from USTC in 1996.

My current research interests are data mining and machine learning, especially social network analysis and recommender systems. I have published more than 200 papers on many journals and conferences, including international journals such as IEEE Trans, ACM Trans, and important data mining conferences, such as KDD, ICDM, NeurIPS. My research is supported by the National Natural Science Foundation of China, National High Technology Research and Development Program 863 of China, etc. I won the Best Application Paper Award on KDD2008, Best Research Paper Award on ICDM2011, Outstanding Paper Award on FCS2016, and Best Student Paper Award on KDD2024.

Selected Publications

2024

  • Lixiang Xu, Qingzhe Cui, Wei Xu, Enhong Chen*, He Tong, Yuanyan Tang. Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis . Inf. Fusion, 103: 102131 (2024). [Link]
  • Han Wu, Guanqi Zhu, Qi Liu, Hengshu Zhu, Hao Wang, Hongke Zhao, Chuanren Liu, Enhong Chen, Hui Xiong. A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction . IEEE Trans. Big Data 10(1): 35-54 (2024). [Link]
  • Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen. Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective . IEEE Trans. Comput. Soc. Syst. 11(1): 1205-1215 (2024). [Link]
  • Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen*. Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations . The 38th AAAI Conference on Artificial Intelligence (AAAI'2024), pp 9178-9186. [Link]
  • Fei Wang, Qi Liu, Enhong Chen*, Charles Liu, Zhenya Huang, Jinze Wu, Shijin Wang. Unified Uncertainty Estimation for Cognitive Diagnosis Models. In Proceedings of the ACM on Web Conference 2024 (WWW '24). Association for Computing Machinery, New York, NY, USA, 3545–3554. [Link]
  • liyang he, Zhenya Huang, Jiayu Liu, Enhong Chen*, Fei Wang, Jing Sha, Shijin Wang. Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. In Proceedings of the ACM on Web Conference 2024 (WWW '24). Association for Computing Machinery, New York, NY, USA, 1395–1406. [Link]
  • Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Enhong Chen*. NoteLLM: A Retrievable Large Language Model for Note Recommendation. In Companion Proceedings of the ACM on Web Conference 2024 (WWW '24). Association for Computing Machinery, New York, NY, USA, 170–179. [Link]
  • Wenjun Peng, Guiyang Li, Yue Jiang, Zilong Wang, Dan Ou, Xiaoyi Zeng, Derong Xu, Tong Xu, Enhong Chen. Large Language Model based Long-tail Query Rewriting in Taobao Search. In Companion Proceedings of the ACM on Web Conference 2024 (WWW '24). Association for Computing Machinery, New York, NY, USA, 20–28. [Link]
  • Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen. A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. In Proceedings of the ACM on Web Conference 2024 (WWW '24). Association for Computing Machinery, New York, NY, USA, 1986–1997. [Link]
  • Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen. Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. In Proceedings of the ACM on Web Conference 2024 (WWW '24). Association for Computing Machinery, New York, NY, USA, 3297–3306. [Link]
  • Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen. Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users . The 38th AAAI Conference on Artificial Intelligence (AAAI'2024), pp 20596-20603. [Link]

2023

  • Wei Huang, Enhong Chen*, Qi Liu, Hui Xiong, Zhenya Huang, Shiwei Tong, Dan Zhang. HmcNet: A General Approach for Hierarchical Multi-Label Classification . IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(9), 8713-8728. [Link]
  • Fei Wang, Zhenya Huang, Qi Liu, Enhong Chen*, Yu Yin, Jianhui Ma, Shijin Wang. Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective. IEEE Transactions on Learning Technulogies (TLT), 2023, 16(3): 306-323. [Link].
  • Likang Wu, Hongke Zhao, Zhi Li, Zhenya Huang, Qi Liu, Enhong Chen*. Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks . ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 2023, 17(8), 110:1-110:23. [Link]
  • Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen*. TechPat: Technical Phrase Extraction for Patent Mining . ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 2023, 17(9), 129:1-31. [Link]
  • Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen*, Qi Liu, Defu Lian, Xin Li, Hao Wang. Learning Relation-Enhanced Hierarchical Solver for Math Word Problems . IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. [Link].
  • Sirui Zhao, Hongyu Jiang, Hanqing Tao, Rui Zha, Kun Zhang, Tong Xu, Enhong Chen*. PEDM: A Multi-task Learning Model for Persona-aware Emoji-embedded Dialogue Generation . ACM Transactions on Multimedia Computing, Communications and Applications (ACM-TOMM), 2023. [Link].
  • Pengyang Ling, Huaian Chen, Xiao Tan, Yi Jin, Enhong Chen. Single Image Dehazing Using Saturation Line Prior . IEEE Transactions on Image Processing (TIP), 2023, 32: 3238-3253. [Link].
  • Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong. Towards Automatic Job Description Generation With Capability-Aware Neural Networks . IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(5), 5341-5355. [Link]
  • Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen. Model Inversion Attacks Against Graph Neural Networks . IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(9), 8729-8741. [Link]
  • Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang. An Efficient and Robust Semantic Hashing Framework for Similar Text Search . ACM Transactions on Information Systems (TOIS), 2023. [Link].
  • Qi Zhang, Hengshu Zhu, Peng Wang, Enhong Chen, Hui Xiong. Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis . ACM Interact. Mob. Wearable Ubiquitous Technol (IMWUT), 2023, 7(2), 82:1-82:21. [Link].
  • Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang. LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching . IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023, 34(2), 853-866. [Link].
  • Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen*, Tianhuang Su, Haifeng Liu. Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge . The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023), AUGUST 6-10, 2023, pp 1477–1488. [Link].
  • Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen*. Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation . The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023), AUGUST 6-10, 2023, pp 2618–2628. [Link].
  • Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen*. Multi-Grained Multimodal Interaction Network for Entity Linking . The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023), AUGUST 6-10, 2023, pp 1583–1594. [Link].
  • Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen*. Federated Nearest Neighbor Machine Translation. International Conference on Learning Representations (ICLR'2023) [Link].
  • Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen*. Enhancing Hierarchical Text Classification through Knowledge Graph Integration The 61th annual meeting of the Association for Computational Linguistics (ACL'2023), July 9-14, 2023, pp 5797-5810. [PDF].
  • Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen*, Xin Li. Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer . The 32nd International World Wide Web Conference (WWW'2023), APRIL 30 - MAY 4, 2023, pp 855-864. [Link].
  • Haoyang Bi, Enhong Chen*, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu. BETA-CD: A Bayesian Meta-learned COgnitive Diagnosis Framework for Personalized Learning . The 37th AAAI Conference on Artificial Intelligence (AAAI'2023), 2023. pp 5018-5026. [Link].
  • Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen*, Shiwei Tong, Zheng Gong, Shijin Wang. Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training . The 37th AAAI Conference on Artificial Intelligence (AAAI'2023), 2023. pp 13409-13418. [Link].
  • Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen*, Xin Li, Yuanjing He. Search-Efficient Computerized Adaptive Testing . The 32nd ACM International Conference on Information and Knowledge Management (CIKM'23), 2023. (Best Paper Runners Up). [Link].
  • Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen*. Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective. The 37th Conference on Neural Information Processing Systems (NeurIPS'2023), 2023. [Link].
  • Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen. FairLISA: Fair User Modeling with Limited Sensitive Attributes Information. The 37th Conference on Neural Information Processing Systems (NeurIPS'2023), 2023. [Link].
  • Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary Pardos, Enhong Chen, Jinze Wu, Xin Li. A Bounded Ability Estimation for Computerized Adaptive Testing. The 37th Conference on Neural Information Processing Systems (NeurIPS'2023), 2023. [Link].
  • Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen. Knowledge Distillation for High Dimensional Search Index. The 37th Conference on Neural Information Processing Systems (NeurIPS'2023), 2023. [Link].
  • Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang. Learning Behavior-oriented Knowledge Tracing . The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023), AUGUST 6-10, 2023, pp 2789-2800. [Link].
  • Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen. Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction . The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023), AUGUST 6-10, 2023, pp 3151–3161. [Link].
  • Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong. Multi-Temporal Relationship Inference in Urban Areas . The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023), AUGUST 6-10, 2023, pp 1316–1327. [Link].
  • Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen. A Causality Inspired Framework for Model Interpretation . The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023), AUGUST 6-10, 2023, pp 2731–2741. [Link].
  • Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen. Learning Balanced Tree Indexes for Large-Scale Vector Retrieval . The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023), AUGUST 6-10, 2023, pp 1353–1362. [Link].
  • Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang. Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests. The 40th International Conference on Machine Learning (ICML'2023) [Link].
  • Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, and Shijin Wang. Exploiting Non-Interactive Exercises in Cognitive Diagnosis . The 32nd International Joint Conference on Artificial Intelligence (IJCAI'2023), Aug 19-25, 2023, pp 2397-2405. [Link].
  • Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen. KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification . The 32nd International Joint Conference on Artificial Intelligence (IJCAI'2023), Aug 19-25, 2023, pp 2361-2369. [Link].
  • Xukai Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan. RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs . The 61th annual meeting of the Association for Computational Linguistics (ACL'2023), July 9-14, 2023, pp 8683-8696. [PDF].
  • Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen. MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction . The 32nd International World Wide Web Conference (WWW'2023), APRIL 30 - MAY 4, 2023, pp 2710-2718. [Link].
  • Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen. Differentiable Optimized Product Quantization and Beyond . The 32nd International World Wide Web Conference (WWW'2023), APRIL 30 - MAY 4, 2023, pp 3353–3363. [Link].
  • Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen. AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation . The 32nd International World Wide Web Conference (WWW'2023), APRIL 30 - MAY 4, 2023, pp 1032-1042. [Link].
  • Xu Huang, Defu Lian, Jin Chen, Liu Zheng, Xing Xie, Enhong Chen. Cooperative Retriever and Ranker in Deep Recommenders . The 32nd International World Wide Web Conference (WWW'2023), APRIL 30 - MAY 4, 2023, pp 1150-1161. [Link].
  • Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen. Membership Inference Attacks Against Sequential Recommender Systems . The 32nd International World Wide Web Conference (WWW'2023), APRIL 30 - MAY 4, 2023, pp 1208-1219. [Link].
  • Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen. FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. . The 32nd International World Wide Web Conference (WWW'2023), APRIL 30 - MAY 4, 2023, pp 1437-1445. [Link].
  • Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen. RecStudio: Towards a Highly-Modularized Recommender System . The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023), July 23-27, 2023, pp 2890-2900. [Link]
  • Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen. Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs . The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023), July 23-27, 2023, pp 822–831. [Link]
  • Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen. Query-aware Quantization for Maximum Inner Product Search . The 37th AAAI Conference on Artificial Intelligence (AAAI'2023), 2023. pp 4875-4883. [Link].

2022

  • Hanqing Tao, Guanqi Zhu, Enhong Chen*, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong. Learning from Ideography and Labels: A Schema-aware Radical-guided Associative Model for Chinese Text Classification . IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, Early Access. [Link].
  • Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, and Enhong Chen*. Network Representation Lightening from Hashing to Quantization . IEEE Transaction on Knowledge and Data Engineering (TKDE), 2022, 35(5):5119-5131. [Link].
  • Fei Wang, Qi Liu, Enhong Chen*, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su. NeuralCD: A General Framework for Cognitive Diagnosis . IEEE Transaction on Knowledge and Data Engineering (TKDE), 2022. 35(8): 8312-8327. [Link].
  • Shuanghong Shen, Enhong Chen*, Qi Liu, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang. Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing . IEEE Transaction on Knowledge and Data Engineering (TKDE), 2022. 35(8): 8213-8227. [Link].
  • Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao and Enhong Chen*. Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation . ACM Transactions on Information Systems (TOIS), 2022. [Link].
  • Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen*. HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation . ACM Transactions on Information Systems (TOIS), 2022. 40(2): 24:1-24:28. [Link].
  • Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen*. A Hierarchical Interactive Multi-channel Graph Neural Network for Technological Knowledge Flow Forecasting . Knowledge and Information Systems (KAIS), 2022. [Link].
  • Runlong Yu,Qi Liu,Yuyang ye,Mingyue Cheng, Enhong Chen and Jianhui Ma. Collaborative List-and-Pairwise Filtering from Implicit Feedback . IEEE Transaction on Knowledge and Data Engineering (TKDE), 2022, 34(6): 2667-2680. [Link].
  • Leyan Deng, Chenwang Wu, Defu Lian, Yongji Wu, and Enhong Chen. Markov-Driven Graph Convolutional Networks for Social Spammer Detection . IEEE Transaction on Knowledge and Data Engineering (TKDE), 2022. [Link].
  • Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, Hui Xiong. STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control . IEEE Transactions on Mobile Computing (TMC), 2022. 21(6): 2228-2242. [Link].
  • Qi Liu, Jinze Wu, Hao Wang, Zhenya Huang, Yuting Ning, Ming Chen and Enhong Chen. Federated User Modeling from Hierarchical Information . ACM Transactions on Information Systems (TOIS), 2022. [Link].
  • Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong. Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment . ACM Transactions on Information Systems (TOIS), 2022. 40(1): 15:1-15:36. [Link].
  • Dan Li, Tong Xu, Peilun Zhou, Weidong He, Yanbin Hao, Yi Zheng, Enhong Chen. Social Context-aware Person Search in Videos via Multi-modal Cues . ACM Transactions on Information Systems (TOIS), 2022. 40(3): 52:1-52:25. [Link].
  • Zhi Zheng, Chao Wang,Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen. Interaction-aware Drug Package Recommendation via Policy Gradient . ACM Transactions on Information Systems (TOIS), 2022. [Link].
  • Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie and Enhong Chen. Reinforcement Routing on Proximity Graph for Efficient Recommendation . ACM Transactions on Information Systems (TOIS), accepted, 2022. [Link].
  • Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang. An Efficient and Robust Semantic Hashing Framework for Similar Text Search . ACM Transactions on Information Systems (TOIS), accepted, 2022. [Link].
  • Xianwei Meng, Hao Fu, Liqun Peng, Guiquan Liu, Yang Yu, Zhong Wang, Enhong Chen. D-LSTM: Short-Term Road Traffic Speed Prediction Model Based on GPS Positioning Data . IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022. 23(3): 2021-2030 (2022). [Link].
  • Leyan Deng, Defu Lian, Zhenya Huang, Enhong Chen. Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection . IEEE Transactions on Neural Networks and Learning Systems., 2022 33(6): 2416-2428. [Link].
  • Jiayu Liu, Fei Wang, Haiping Ma, Zhenya Huang, Qi Liu, Enhong Chen, Yu Su. A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems . Journal of Computer Science and Technology., 2022.[Link].
  • Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen*. Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification . The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2022), 2022. pp 1566–1576. [PDF]
  • Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, and Enhong Chen*. Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect . The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2022), 2022. pp 427–437. [PDF]
  • Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen*. One Person, One Model—Learning Compound Router for Sequential Recommendation . The 22nd IEEE International Conference on Data Mining (ICDM), 2022. pp 289-298. [Link].
  • Linan Yue, Qi Liu, Yichao Du, Yanqing An, Li Wang, Enhong Chen. DARE: Disentanglement-Augmented Rationale Extraction . The 36th Conference on Neural Information Processing Systems (NeurIPS'2022), accepted, 2022. [Link].
  • Shiwei Tong,Jiayu Liu ,Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang. Incremental Cognitive Diagnosis for Intelligent Education . The 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'2022), 2022. pp 1760-1770. [PDF]
  • Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang. HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework . The 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'2022), 2022. pp 904-913. [PDF]
  • Liyi Chen, Zhi Li, Tong Xu, Han Wu, Zhefeng Wang, Nicholas Yuan, Enhong Chen. Multi-modal Siamese Network for Entity Alignment . The 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'2022), 2022. pp 118–126. [Link]
  • Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong. DDR: Dialogue based Doctor Recommendation for Online Medical Service . The 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'2022), 2022. pp 4592–4600. [Link]
  • Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang. A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval . The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2022), 2022. pp 416-426. [PDF].
  • Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu and Enhong Chen. Forest-based Deep Recommender . The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2022), 2022. pp 523-532. [Link]
  • Rui Fan, Jin Chen, Jin Zhang, Defu Lian and Enhong Chen. Improving Implicit Alternating Least Squares with Ring-based Regularization . The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2022), 2022. pp 102-111. [Link]
  • Kai Zhang, Kun Zhang, Qi Liu, Mengdi Zhang, Hongke Zhao, Wei Wu, Enhong Chen. Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis . The 60th annual meeting of the Association for Computational Linguistics (ACL'2022), May 22-27, 2022, pp 3599-3610. [PDF].
  • Derong Xu, Tong Xu, Shiwei Wu, Jingbo Zhou, Enhong Chen. Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion . The 30th ACM International Conference on Multimedia (MM'2022), Oct. 2022, pp:3857-3866. [Link].
  • Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen. Towards Automatic Designing of Deep Hybrid Network Architecture for Sequential Recommendation . The 31st International World Wide Web Conference (WWW'2022), April 25-29, 2022, pp 1923-1932. [Link].
  • Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian. Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction . The 31st International World Wide Web Conference (WWW'2022), April 25-29, 2022, pp 112-121. [Link].
  • Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen. Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering . The 31st International World Wide Web Conference (WWW'2022), April 25-29, 2022, pp 1944-1954. [Link].
  • Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong. CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction . The 31st International World Wide Web Conference (WWW'2022), April 25-29, 2022, pp 2268-2276. [Link].
  • Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu and Enhong Chen. Anisotropic Additive Quantization for Fast Inner Product Search . The 36th AAAI Conference on Artificial Intelligence (AAAI'2022), 2022. pp 4354-4362. [Link].
  • 黄振亚, 刘淇, 陈恩红, 林鑫, 何理扬, 刘嘉聿, 王士进. 面向学科题目的文本分析方法与应用研究综述 . 中文信息学报, accpted, 2022.[Link].

2021

  • Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang and Enhong Chen*. Decoupled Representation Learning for Attributed Networks . IEEE Transaction on Knowledge and Data Engineering (IEEE TKDE) , 2021. Early Access. [Link].
  • Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, Enhong Chen*. EATN: An Efficient Adaptive Transfer Network for Aspect-level Sentiment Analysis . IEEE Transaction on Knowledge and Data Engineering (IEEE TKDE) , 2021, 33(9).[Link].
  • Defu Lian, Jin Chen, Kai Zheng, Enhong Chen* and Xiaofang Zhou. Ranking-based Implicit Regularization for One-Class Collaborative Filtering . IEEE Transaction on Knowledge and Data Engineering (TKDE) , PP(99):1-1, 2021.[PDF].
  • Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen*, Hui Xiong, Yu Su, Guoping Hu, EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction. IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(1): 100-115, January, 2021.[PDF]
  • Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen*. Color Enhanced Cross Correlation Net for Image Sentiment Analysis. In  IEEE Transactions on Multimedia, (TMM) Early Access, 2021. [Link]
  • Joya Chen, Dong Liu, Tong Xu, Shiwei Wu, Yifei Cheng, Enhong Chen*. Is Heuristic Sampling Necessary in Training Deep Object Detectors. In  IEEE Transactions on Image Processing , (TIP) 2021. [Link]
  • Defu Lian, Xing Xie, Enhong Chen, Hui Xiong. Product Quantized Collaborative Filtering . IEEE Transaction on Knowledge and Data Engineering (IEEE TKDE) , 2021, 33(9). pp. 3284-3296.[PDF].
  • Junliang Guo, Zhirui Zhang, Linli Xu, Boxing Chen, Enhong Chen. Adaptive Adapter: an Efficient Way to Incorporate BERT into Neural Machine Translation . In IEEE Transactions on Audio, Speech and Language Processing (TASLP'21)Vol 29, pp. 1740-1751, 2021. [PDF].
  • Shuo Tao, Jingang Jiang, Defu Lian, Kai Zheng, Enhong Chen. Predicting Human Mobility with Reinforcement Learning based Long-term Periodicity Modeling . ACM Transactions on Intelligent Systems and Technology (TIST), 2021.[Link].
  • Zhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen*, Jianhui Ma, Yu Su, Wei Tong. DisenQNet: Disentangled Representation Learning for Educational Questions . The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2021), Virtual Conference, August 14-18, 2021. [Link].
  • Shuanghong Shen, Enhong Chen*, Qi Liu, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang. Learning Process-consistent Knowledge Tracing . The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2021), pp. 1452-1460. Virtual Conference, August 14-18, 2021. [Link].
  • Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen*. Preference-Adaptive Meta-Learning for Cold-Start Recommendation . The 30th International Joint Conference on Artificial Intelligence (IJCAI'2021), pp. 1607-1614. Virtual Conference, August 21-26 2021. [Link].
  • Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen*. Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty . In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21) , Online, February 2-9, 2021, [PDF].
  • Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen*, Min Hou. Ideography Leads Us to the Field of Cognition: A Radical-guided Associative Model for Chinese Text Classification . In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21) , Online, February 2-9, 2021, [PDF].
  • Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Li, Enhong Chen*, Wei Tong. Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure . The 44rd ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021) , online, Jul. 2021.[PDF].
  • Yifan Xu, Sirui Zhao, Huaying Tang, Xinlong Mao, Tong Xu, Enhong Chen*. FAMGAN: Fine-grained AUs Modulation based Generative Adversarial Network for Micro-Expression Generation . In Proceedings of the 29th ACM International Conference on Multimedia, (ACM MM'21), pp. 4813–4817, 2021.[PDF].
  • Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Huixiong, Enhong Chen, Jianhui Ma. Modeling Context-aware Features for Cognitive Diagnosis in Student Learning . The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2021), pp. 2420-2428. Virtual Conference, August 14-18, 2021. [Link].
  • Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu and Enhong Chen. Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems . The 27th International ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2021), Virtual Conference, August 14-18 2021. pp. 1830-1840. [Link].
  • Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma and Enhong Chen. Online Additive Quantization . The 27th International ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2021), Virtual Conference, August 14-18 2021. pp. 1074-1083. [Link].
  • Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong. Attentive Heterogeneous Graph Embedding for Job Mobility Prediction . The 27th International ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2021), Virtual Conference, August 14-18 2021. [Link].
  • Lintao Fang, Le Zhang, Han Wu, Tong Xu, Ding Zhou, Enhong Chen. Patent2Vec: Multi-view Representation Learning on Patent-Graphs for Patent Classification . The 30th International World Wide Web Conference (WWW'2021) , Ljubljana, Slovenia, April 19-23 2021. [Link].
  • Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi and Bowen Zhou. Hierarchical Personalized Federated Learning for User Modeling . The 30th International World Wide Web Conference (WWW'2021), pp 957-968. Ljubljana, Slovenia, April 19-23 2021. [PDF].
  • Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen. Drug Package Recommendation via Interaction-aware Graph Induction . The 30th International World Wide Web Conference (WWW'2021) , Ljubljana, Slovenia, April 19-23 2021.[PDF].
  • Shiwei Wu, Joya Chen, Tong Xu, Liyi Chen, Lingfei Wu, Yao Hu, Enhong Chen. Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN . In Proceedings of the 29th ACM International Conference on Multimedia, (ACM MM'21), 2021.[PDF].
  • Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen and Senchao Yuan. Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training . The 44rd ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021) , online, Jul. 2021.[PDF].
  • Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian and Enhong Chen. xLightFM: Extremely Memory-Efficient Factorization Machine . The 44rd ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021) , online, Jul. 2021. pp. 337-346.[PDF].
  • Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan and Enhong Chen. Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement . The 44rd ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021) ,pp. 575–584. online, Jul. 2021.[PDF].
  • Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong. Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness . The 30th International Joint Conference on Artificial Intelligence (IJCAI'2021), Virtual Conference, August 21-26 2021. [PDF].
  • Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen. Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer . In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), 35(5), pp. 4215-4223. Online, February 2-9, 2021, [PDF].
  • Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang. HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem . In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21) ,pp. 4232-4240. Online, February 2-9, 2021, [PDF].
  • Siqi Lei, Wei Huang, Shiwei Tong, Qi Liu, Zhenya Huang, Enhong Chen, Yu Su. Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System . 12th IEEE Internaltional Conference on Big Knowledge (ICBK'2021) , 2021. (Best Student Paper).[Link].

2020

  • Tong Xu, Hengshu Zhu, Hui Xiong, Hao Zhong, Enhong Chen*, Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Network , In IEEE Transactions on Mobile Computing(IEEE TMC) , 2020, 19(8), 1804-1817. [PDF]
  • Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen*, Haiping Ma, Guoping Hu, Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students , ACM Transactions on Information Systems (ACM TOIS) , 2020, 38(2):19. [PDF]
  • Tong Xu, Peilun Zhou, Linkang Hu, Xiangnan He, Yao Hu, Enhong Chen*, Socializing the Videos: A Multimodal Approach for Social Relation Recognition , In ACM Transactions on Multimedia Computing Communications and Applications(ACM TOMM) ,17(1): 1–23. 2020.[PDF]
  • Biao Chang, Enhong Chen*, Feida Zhu, Qi Liu, Tong Xu, Zhefeng Wang, Maximum a Posteriori Estimation for Information Source Detection , In IEEE Transactions on Systems, Man, and Cybernetics: Systems(IEEE TSMC) , 2020, 50(6), 2242-2256. [PDF]
  • Kai Li, Tong Xu, Shuai Feng, Lisheng Qiao, Huawei Shen, Tianyang Lv, Xueqi Chen, Enhong Chen*, The Propagation Background in Social Networks: Simulating and Modeling , In International Journal of Automation and Computing (IJAC) , 2020, 17(3), 353-363. [PDF]
  • Peilun Zhou, Tong Xu, Zhizhuo Yin, Dong Liu, Enhong Chen*, Guangyi Lv, Changliang Li. Character-Oriented Video Summarization With Visual and Textual Cues , In IEEE Transactions on Multimedia , Oct. 2020,22(10),2684 - 2697. [PDF]
  • Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong, An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment , In ACM Transactions on Information Systems (ACM TOIS) 2020, 38(2):15. [PDF]
  • Yang Liu, Zhi Li, Wei Huang, Tong Xu, Enhong Chen, Exploiting Structural and Temporal Influence for Dynamic Social-Aware Recommendation , In Journal of Computer Science and Technology (JCST) ,2020, 35(2), 281–294. [PDF]
  • Zikai Yin, Tong Xu, Hengshu Zhu, Chen Zhu, Enhong Chen, Hui Xiong, Matching of Social Events and Users: A Two-Way Selection Perspective , In World Wide Web , 2020, 23(2), 853–871. [PDF]
  • Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Kun Zhang, Guang Zhou, Enhong Chen. Pop Music Generation: From Melody to Multi-style Arrangement , In ACM Transactions on Knowledge Discovery from Data (ACM TKDD) , 2020,14(5), 54:1-31. [PDF]
  • Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen*. Sampling-Decomposable Generative Adversarial Recommender , Advances in Neural Information Processing Systems (NIPS’2020) Dec. 6-12, 2020,[PDF]
  • Defu Lian, Yongji Wu, Yong Ge, Xing Xie and Enhong Chen*. Geography-Aware Sequential Location Recommendation . The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2020) , San Diego, CA, USA, Aug. 2020.[PDF]
  • Fei Wang, Qi Liu, Enhong Chen*, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang, Neural Cognitive Diagnosis for Intelligent Education Systems , The 34th AAAI Conference on Artificial Intelligence (AAAI'2020) , New York, USA, February 7-12 2020.[PDF]
  • Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen*. A Variational Point Process Approach for Social Event Sequences . The 34nd AAAI Conference on Artificial Intelligence (AAAI’2020) , New York, USA, February, 2020[PDF]
  • Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen*, Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model . In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'2020) , New York, USA, February, 2020. [PDF]
  • Shuanghong Shen, Qi Liu, Enhong Chen*, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma and Shijin Wang, Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process , The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2020), Xi’an, China, July 25-30, 2020.[PDF]
  • Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang and Enhong Chen*, Neural Mathematical Solver with Enhanced Formula Structure , The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2020) , Xi’an, China, July 25-30, 2020.[PDF]
  • Weidong He, Zhi Li, Dongcai Lu, Enhong Chen*, Tong Xu, Jing Yuan, Baoxing Huai, Multimodal Dialogue Systems via Capturing Context-aware Dependencies of Semantic Elements , In Proceedings of 28th ACM International Conference on Multimedia (MM’2020) Seattle, WA, USA, 2020.[PDF]
  • Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong, Enterprise Cooperation and Competition Analysis with Sign-Oriented Preference Network , The 28th ACM International Conference on Information and Knowledge Management (KDD'2020) , San Diego, CA, USA, 2020.[PDF]
  • Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen and Cheekong Lee, ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction , The 26rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2020) , San Diego, California, USA, 2020.[PDF]
  • Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen. Incorporating BERT into Parallel Sequence Decoding with Adapters , Advances in Neural Information Processing Systems (NIPS’2020) Dec. 6-12, 2020,[PDF]
  • Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, and Hui Xiong. Personalized Employee Tranining Course Recommendation with Career Development Awareness . In Proceedings of the 27th World Wide Web Conference (WWW’2020) , Taipei, China, April 2020.[PDF]
  • Defu Lian, Qi Liu, Enhong Chen. Personalized Ranking with Importance Sampling . The 29th Web Conference (WWW’2020) , pp. 1093–1103, Taipei, China, April 2020, [PDF].
  • Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen and Xing Xie. LightRec: a Memory and Search-Efficient Recommender System . The 29th Web Conference (WWW’2020) , pp. 695–705, Taipei, China, April 2020, [PDF].
  • Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen, Large-Scale Talent Flow Embedding for Company Competitive Analysis , In Proceedings of The Web Conference 2020 (WWW'2020) , Taipei, China, 2020, 2354-2364.[PDF]
  • Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, and Enhong Chen. Towards Explainable Conversational Recommendation The 29th International Joint Conference on Artificial Intelligence (IJCAI'2020), Yokohama, Japan, 2020. [PDF]
  • Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen. Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection . The 34nd AAAI Conference on Artificial Intelligence (AAAI’2020) , New York, USA, Feb. 2020, [PDF].
  • Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tieyan Liu Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation . In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'2020) , New York, USA, February, 2020. [PDF]
  • Junliang Guo, Linli Xu, Enhong Chen. Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation . In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL’2020) , Online, July 5-10 2020. [PDF]
  • Liyi Chen, Zhi Li, Yijun Wang, Tong Xu, Zhefeng Wang, Enhong Chen, MMEA: Entity Alignment for Multi-Modal Knowledge Graphs , In Proceedings of the 13th International Conference on Knowledge Science, Engineering and Management (KSEM'2020) , Hangzhou China, 2020.(Best Paper Award) [PDF]

2019

  • Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen*, Tie-Yan Liu, Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation, IEEE/ACM Trans. Audio, Speech & Language Processing (IEEE-ACM T AUDIO SPE) 27(10): 1564-1576 (2019). [PDF]
  • Guifeng Wang, Qi Liu, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen*, Product Supply Optimization for Crowdfunding Campaigns, IEEE Transactions on Big Data (IEEE TBD) 6(4): 741-756 (2019). [PDF]
  • Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen*, Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) 31(6): 1122-1135 (2019). [PDF]
  • Tong Xu, Hengshu Zhu, Hui Xiong, Hao Zhong, Enhong Chen*, Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Network, IEEE Transactions on Mobile Computing (IEEE TMC) 19: 1804-1817 (2019). [PDF]
  • Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen*, Tong Xu, Xi Zhang, Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) 32: 1652-1665 (2019). [PDF]
  • Binbin Jin, Enhong Chen*, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu, Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC) 51: 3068-3079 (2019). [PDF]
  • Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen*, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu, Multi-Level Image-Enhanced Sentence Representation Net for Natural Language Inference, IEEE Transactions on Systems, Man and Cybernetics: Systems (IEEE TSMC), pp 747-756 (2019). [PDF]
  • Biao Chang, Enhong Chen*, Feida Zhu, Qi Liu, Tong Xu, Zhefeng Wang, Maximum a Posteriori Estimation for Information Source Detection, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC) 50(6): 2242-2256 (2019). [PDF]
  • Defu Lian, Xing Xie, Enhong Chen. Discrete Matrix Factorization and Extension for Fast Item Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 33: 1919-1933 (2021). [PDF]
  • Jianqing Gao, Jun Du, Enhong Chen, Mixed-Bandwidth Cross-Channel Speech Recognition via Joint Optimization of DNN-Based Bandwidth Expansion and Acoustic Modeling, IEEE/ACM Trans. Audio, Speech & Language Processing (IEEE-ACM T AUDIO SPE) 27(3): 559-571 (2019). [PDF]
  • Liang He, Bin Shao, Yanghua Xiao, Yatao Li, Tie-Yan Liu, Enhong Chen, Huanhuan Xia, Neurally-Guided Semantic Navigation in Knowledge Graph, IEEE Transactions on Big Data (IEEE TBD)8: 607-615 (2018). [PDF]
  • Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen*, Dongfang Du, Han Wu and Wen Su, MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network, In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), Anchorage, AK, USA, 2019. [PDF]
  • Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen*, Wei Tong, Shijin Wang, Yu Su, QuesNet: A Unified Representation for Heterogeneous Test Questions, In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), Anchorage, AK, USA, 2019. [PDF]
  • Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen*, Haiping Ma, Shijin Wang, Exploiting Cognitive Structure for Adaptive Learning, In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), Anchorage, AK, USA, 2019. [PDF]
  • Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen*, Fangzhao Wu, Xing Xie,  DRr-Net: Dynamic Re-read Network for Sentence Semantic Matching,  The 33rd AAAI Conference on Artificial Intelligence (AAAI'2019), Honolulu, USA, January 27-February 1 2019. [PDF]
  • Binbin Jin, Hongke Zhao, Enhong Chen*, Qi Liu, Yong Ge, Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective, The 33rd AAAI Conference on Artificial Intelligence (AAAI'2019), Honolulu, USA, January 27-February 1 2019. [PDF]
  • Min Hou, Le Wu, Enhong Chen*, Zhi Li, Vincent W. Zheng, Qi Liu, Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach, The 28th International Joint Conference on Artificial Intelligence (IJCAI'19), August 10-16, 2019, Macao, China. [PDF]
  • Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong, Trend-Aware Tensor Factorization for Job Skill Demand Analysis, The 28th International Joint Conference on Artificial Intelligence (IJCAI'19), August 10-16, 2019, Macao, China. [PDF]
  • Le Zhang, Chen Zhu, Hengshu Zhu, Tong Xu, Enhong Chen, Chuan Qin, Hui Xiong, Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model, In Proceedings of The Web Conference 2019 (WWW'19), San Francisco, CA, USA, 2019. [PDF]
  • Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen, Interactive Attention Transfer Network for Cross-domain Sentiment Classification, The 33rd AAAI Conference on Artificial Intelligence (AAAI'2019), Honolulu, USA, January 27-February 1 2019. [PDF]
  • Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang, Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions, International Conference on Learning Representations (ICLR'2019), New Orleans, Louisiana, United States, May 6-9 2019. [PDF]

2018

  • Ming He, Yong Ge, Enhong Chen*, Qi Liu, Xuesong Wang, Exploring the Emerging Type of Comment for Online Videos: DanMu, ACM Transactions on the Web (ACM TWEB), 12(1): 1:1-1:33 (2018). [PDF]
  • Qi Liu, Runze Wu, Enhong Chen*, Guandong Xu, Yu Su, Zhigang Chen, Guoping Hu, Fuzzy Cognitive Diagnosis for Modelling Examinee Performance, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 9(4): 48, February 2018. [PDF]
  • Qi Liu, Hongke Zhao, Le Wu, Zhi Li, EnHong Chen*, Illuminating Recommendation by Understanding the Explicit Item Relations. Journal of Computer Science and Technology, 33(4): 739-755 (2018).[Link]
  • Hefu Zhang, Hongke Zhao, Qi Liu, Tong Xu, Enhong Chen*, Xunpeng Huang, Finding Potential Lenders in P2P Lending: A Hybird Random Walk Approach, Information Sciences, 432: 376-391, March 2018. [PDF]
  • Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang, Product Adoption Rate Prediction in a Competitive Market, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 30(2): 325-338, February 2018. [PDF]
  • Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao and Enhong Chen, Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis, IEEE Transactions on Mobile Computing (IEEE TMC), 17(2): 279-292, February 2018. [PDF]
  • Hongke Zhao, Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, Junping Du, A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC-S), 48(1): 21-33, January 2018. [PDF]
  • Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie, GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Transactions on Information System, 36(3): 33 (2018).[Link]
  • Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen*, Haiping Ma, Leveraging Proficiency and Preference for Online Karaoke Recommendation, Frontiers of Computer Science (FCS), 2018. [Link]
  • Ming He, Yan Chen, Qi Liu, Yong Ge, Enhong Chen*, Guiquan Liu, Lichao Liu and Xin Li, Understand and Assess People’s Procrastination by Mining Computer Usage Log, The 11th International Conference on Knowledge Science, Engineering and Management (KSEM'2018): 187-199, Changchun, China, August 17-19 2018.(Best Paper Award). [PDF]
  • Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen*, Yu Su, Guoping Hu, Finding Similar Exercises in Online Education Systems, The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018): 1821-1830, London, UK, August 19-23 2018. [PDF]
  • Yu Yin, Zhenya Huang, Enhong Chen*, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu, Transcribing Content from Structural Images with Spotlight Mechanism, The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018): 2643-2652, London, UK, August 19-23 2018. [PDF]
  • Chao Wang, Qi Liu, Runze Wu, Enhong Chen*, Chuanren Liu, Xunpeng Huang, Zhenya Huang, Confidence-aware Matrix Factorization for Recommender Systems, The 32nd AAAI Conference on Artificial Intelligence (AAAI'2018): 434-442, New Orleans, Louisiana, USA, February 2-7 2018. [PDF]
  • Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen*, Joint Training for Neural Machine Translation Models with Monolingual Data, The 32nd AAAI Conference on Artificial Intelligence (AAAI'2018): 555-562, New Orleans, Louisiana, USA, February 2-7 2018. [PDF]
  • Tianyuan Jin, Tong Xu, Hui Zhong, Enhong Chen, Zhefeng Wang, Qi Liu, Maximizing the Effect of Information Adoption: A General Framework, In Proceedings of 2018 SIAM International Conference on Data Mining (SDM'2018): 693-701, San Diego California USA, May 3-5 2018. [PDF]
  • Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen*, and Hui Xiong, Exploiting Topic-based Adversarial Neural Network for Cross-domain Keyphrase Extraction, The 18th International Conference on Data Mining (ICDM'2018), Singapore, November 17-20 2018. [PDF]
  • Hao Wang, Enhong Chen*, Qi Liu, Tong Xu, Dongfang Du, Wen Su, and Xiaopeng Zhang, A United Approach to Learning Sparse Attributed Network Embedding, The 18th International Conference on Data Mining (ICDM'2018), Singapore, November 17-20 2018. [PDF]
  • Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen*, Qi Liu, and Han Wu, Image-Enhanced Multi-Level Sentence Representation Net for Natural Language Inference, The 18th International Conference on Data Mining (ICDM'2018), Singapore, November 17-20 2018. [PDF]
  • Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen, Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors, The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018): 1734-1743, London, UK, August 19-23 2018. [PDF]
  • Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen, XiaoIce Band: A Melody and Arrangement Generation Framework for PopMusic, The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018): 2837-2846, London, UK, August 19-23 2018.(Best Student Paper Award of Research Track). [PDF]
  • Zaiyi Chen, Yi Xu, Enhong Chen, Tianbao Yang, SADAGRAD: Strongly Adaptive Stochastic Gradient Methods, The 35th International Conference on Machine Learning (ICML'2018): 912-920, Long Beach, California, June 10-15 2018. [PDF]
  • Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen, Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data, The 27th International Joint Conference on Artificial Intelligence (IJCAI'2018): 3578-3584, Stockholm, Sweden, July 13-19 2018. [PDF]
  • Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong, Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach, The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2018): 25-34, Paris, France, July 8-12 2018. [PDF]
  • Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris Ding, Si Wei, Guoping Hu, Exercise-Enhanced Sequential Modeling for Student Performance Prediction, The 32nd AAAI Conference on Artificial Intelligence (AAAI'2018): 2435-2443, New Orleans, Louisiana, USA, February 2-7 2018. [PDF]
  • Yuanwei Lu, Guo Chen, Bojie Li, Kun Tan, Yongqiang Xiong, Peng Cheng, Jiansong Zhang, Enhong Chen, Thomas Moscibroda, Multi-Path Transport for RDMA in Datacenters, USENIX Symposium on Networked Systems Design and Implementation (NSDI'2018), Renton, WA, USA, April 9-11 2018. [PDF]
  • Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen. Multiple Pairwise Ranking with Implicit Feedback. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM'2018). ACM, 1727-1730, New York, NY, USA, October 22-26 2018. [PDF]
  • 王超，刘淇，陈恩红*，黄振亚，朱天宇，苏喻，胡国平， 面向大规模认知诊断的DINA模型快速计算方法研究. 电子学报，46(5):1047-1055，2018年5月. [PDF]

2017

  • Zhefeng Wang, Yu Yang, Jian Pei, Lingyang Chu and Enhong Chen*, Activity Maximization by Effective Information Diffusion in Social Networks, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 29(11): 2374-2387, November 2017. [PDF]
  • Qi Liu, Biao Xiang, Nicholas Jing Yuan, Enhong Chen*, Hui Xiong, Yi Zheng, Yu Yang, An Influence Propagation View of PageRank, ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 11(3): 30, March 2017. [PDF]
  • Hongke Zhao, Yong Ge, Qi Liu, Guifeng Wang, Enhong Chen*, Hefu Zhang, P2P Lending Survey: Platforms, Recent Advances and Prospects, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 8(6): 72, July 2017. [PDF]
  • Enhong Chen*, Guangxiang Zeng, Ping Luo, Hengshu Zhu, Jilei Tian, Hui Xiong, Discerning individual interests and shared interests for social user profiling, World Wide Web Journal (WWWJ), 20(2): 417-435, March 2017. [PDF]
  • Runze Wu, Guandong Xu, Enhong Chen*, Qi Liu, Wan Ng, Knowledge or Gaming? Cognitive Modelling Based on Multiple-Attempt Response, The 26th International World Wide Web Conference (WWW'2017 Companion): 321-329, Perth, Australia, April 3-7, 2017. [PDF]
  • Chu Guan, Yanjie Fu, Xinjiang Lu, Enhong Chen*, Xiaolin Li, Hui Xiong, Efficient Karaoke Song Recommendation via Multiple Kernel Learning Approximation, Neurocomputing, 254: 22-32, September 2017. [PDF]
  • Zongda Wu, Li Lei, Guiling Li, Hui Huang, Chengren Zheng, Enhong Chen, Guandong Xu, A topic modeling based approach to novel document automatic summarization, Expert Systems with Applications (ESWA), 84: 12-23, 2017. [PDF]
  • Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du, Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 29(6): 1240-1253, June 2017. [PDF]
  • Yu Yang, Zhefeng Wang, Jian Pei and Enhong Chen, Tracking Influential Individuals in Dynamic Networks, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 29(11): 2615-2628, November 2017. [PDF]
  • Liang He, Bin Shao, Yatao Li, Huanhuan Xia, Yanghua Xiao, Enhong Chen, Liang Chen, Stylus: A Strongly-Typed Store for Serving Massive RDF Data, Proceedings of the VLDB Endowment (PVLDB), 11(2): 203-216, 2017. [PDF]
  • Dongliang He, Cuiling Lan, Chong Luo, Enhong Chen, Feng Wu, Wenjun Zeng, Progressive Pseudo-Analog Transmission for Mobile Video Streaming, IEEE Transactions on Multimedia (IEEE TMM), 19(8): 1894-1907, August 2017. [PDF]
  • Hao Fu, Xing Xie, Yong Rui, Neil Zhenqiang Gong, Guangzhong Sun, Enhong Chen, Robust Spammer Detection in Microblogs: Leveraging User Carefulness, ACM Transactions on Intelligent Systems and Technology (ACM TIST), special issue: Social Media Processing, 8(6): 83, August 2017. [PDF]
  • Zongda Wu, Hui Zhu, Guiling Li, Zongmin Cui, Hui Huang, Jun Li, Enhong Chen, Guandong Xu, An efficient Wikipedia semantic matching approach to text document classification, Information Sciences, 393: 15-28, July 2017. [PDF]
  • Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen*, Huayu Li, Le Wu, Tracking the Dynamics in Crowdfunding, The 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2017): 625-634, Halifax, Nova Scotia, Canada, August 13-17, 2017. [PDF]
  • Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen*, Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective, The 26th International Joint Conference on Artificial Intelligence (IJCAI'2017): 695-702, Melbourne, Australia, August 19-25, 2017. [PDF]
  • Xunpeng Huang, Le Wu, Enhong Chen*, Hengshu Zhu, Qi Liu, Yijun Wang, Incremental Matrix Factorization: A Linear Feature Transformation Perspective, The 26th International Joint Conference on Artificial Intelligence (IJCAI'2017): 1901-1908, Melbourne, Australia, August 19-25, 2017. [PDF]
  • Kun Zhang, Enhong Chen*, Qi Liu, Chuanren Liu, Guangyi Lv, A Context-Enriched Neural Network method for Recognizing Lexical Entailment, The 31st AAAI Conference on Artificial Intelligence (AAAI'2017): 3127-3133, San Francisco, California USA, February 4–9, 2017. [PDF]
  • Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen*, Runze Wu, Yu Su, Guoping Hu, Tracking knowledge Proficiency of Students with Educational Priors, The 26th ACM International Conference on Information and Knowledge Management (CIKM'2017), 989-998, Singapore, November 6-10, 2017. [PDF]
  • Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu, Question Difficulty Prediction for READING Problems in Standard Tests, The 31st AAAI Conference on Artificial Intelligence (AAAI'2017): 1352-1359, San Francisco, California USA, February 4-9, 2017. [PDF]
  • Yuanwei Lu, Guo Chen, Larry Luo, Kun Tan, Yongqiang Xiong, Xiaoliang Wang, Enhong Chen, One more queue is enough: Minimizing flow completion time with explicit priority notification, The 36th International Conference on Computer Communications (INFOCOM'2017): 1-9, Atlanta, GA, USA, May 1-4, 2017. [PDF]
  • Bojie Li, Zhenyuan Ruan, Wencong Xiao, Yuanwei Lu, Yongqiang Xiong, Andrew Putnam, Enhong Chen, Lintao Zhang, KV-Direct: High-Performance In-Memory Key-Value Store with Programmable NIC, The 26th Symposium on Operating Systems Principles (SOSP'2017): 137-152, Shanghai, China, October 28-31, 2017. [PDF]
  • Li Lyna Zhang, Chieh-Jan Mike Liang, Yunxin Liu, Enhong Chen, Systematically testing background services of mobile apps, The 32nd International Conference on Automated Software Engineering (ASE'2017): 4-15, Urbana, IL, USA, October 30-November 03, 2017. [PDF]
  • Zai Huang, Zhen Pan, Qi Liu, Bai Long, Haiping Ma, Enhong Chen, An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers, The 26th ACM International Conference on Information and Knowledge Management (CIKM'2017), 2119-2122, Singapore, November 6-10, 2017. [PDF]
  • Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou and Enhong Chen, Stack-based Multi-layer Attention for Transition-based Dependency Parsing, The 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP'2017), 1678-1683, Copenhagen, Denmark, September 7–11, 2017. [PDF]
  • Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo, Incorporating Spatio-Temporal Smoothness for Air Quality Inference, The 17th International Conference on Data Mining (ICDM'2017): 1177-1182, New Orleans, USA, November 18-21, 2017. [PDF]
  • 朱天宇，黄振亚，陈恩红*，刘淇，吴润泽，吴乐，苏喻，陈志刚，胡国平，基于认知诊断的个性化试题推荐方法. 计算机学报，40(1): 176-191，2017年1月. [PDF]

2016

  • Guangming Guo, Feida Zhu, Enhong Chen*, Qi Liu, Le Wu, Chu Guan, From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring, ACM Transactions on the Web (ACM TWEB), 10(4): 22, December 2016. [PDF]
  • Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen*, Qi Liu, Tong Xu, Hui Xiong, Tracking the evolution of social emotions with topic models, Springer Knowledge and Information System Journal (Springer KIS), 47(3): 517-544, June 2016. [PDF]
  • Lei Zhang, Ping Luo, Enhong Chen*, Min Wang, Revisiting bound estimation of pattern measures: A generic framework, Information Sciences, 339: 254-273, April 2016. [PDF]
  • Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie, Relevance meets Coverage: A Unified Framework to Generate Diversified Recommendations, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 7(3): 39, February 2016. [PDF]
  • Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu, Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph, Journal of Computer Science and Technology (JCST), 31(3): 624-634, May 2016. [PDF]
  • Zongda Wu, Guiling Li, Qi Liu, Guandong Xu, Enhong Chen, Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation, IEEE Transactions on Services Computing (IEEE TSC), PP(99): 1-1, 2016. [PDF]
  • Guangyi Lv, Tong Xu, Enhong Chen*, Qi Liu, Yi Zheng, Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos based on Semantic Embedding, The 30th AAAI Conference on Artificial Intelligence (AAAI'2016): 3000-3006, Phoenix, Arizona USA, February 12-17, 2016. [PDF]
  • Le Wu, Yong Ge, Qi Liu, Enhong Chen*, Bai Long, Zhenya Huang, Modeling Users’ Preferences and Social Links in Social Networking Services: a Joint-Evolving Perspective, The 30th AAAI Conference on Artificial Intelligence (AAAI'2016): 279-286, Phoenix, Arizona USA, February 12-17, 2016. [PDF]
  • Zhen Pan, Enhong Chen*, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin, Sparse Factorization Machines for Click-Through Rate Prediction, The 16th IEEE International Conference on Data Mining (ICDM'2016): 400-409, Barcelona, Spain, December 12-15, 2016. [PDF]
  • Yijun Wang, Le Wu, Zongda Wu, Enhong Chen*, Qi Liu, Selecting Valuable Customers for Merchants in E-commerce Platforms, The 16th IEEE International Conference on Data Mining (ICDM'2016): 1281-1286, Barcelona, Spain, December 12-15, 2016. [PDF]
  • Chu Guan, Yanjie Fu, Xinjiang Lu, Hui Xiong, Enhong Chen*, Yingling Liu. Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model. In Proceedings of 2016 SIAM International Conference on Data Mining (SDM'2016): 135-143, Miami, FL USA, May 5-7, 2016. [PDF]
  • Yi Zheng, Qi Liu, Enhong Chen*, Yong Ge, J. Leon Zhao. Exploiting multi-channels deep convolutional neural networks for multivariate time series classification. Frontiers of Computer Science (FCS), 10(1): 96-112, February 2016.(Outstanding Paper Award). [PDF]
  • Zhefeng Wang, Lingyang Chu, Jian Pei, Abdullah Al-Barakati, Enhong Chen*, Tradeoffs between density and size in extracting dense subgraphs: A unified framework, The 2016 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM'2016) :41-48, San Francisco, USA, August 18-21, 2016. [PDF]
  • Tong Xu, Hengshu Zhu, Xiangyu Zhao, Hao Zhong, Qi Liu, Enhong Chen, Hui Xiong, Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective, The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016): 1285-1294, San Francisco, USA, August 13-17, 2016. [PDF]
  • Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen, Portfolio Selections in P2P Lending: A Multi-Objective Perspective, The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016): 2075-2084, San Francisco, USA, August 13-17, 2016. [PDF]
  • Hengshu Zhu, Hui Xiong, Fangshuang Tang, Yong Ge, Qi Liu, Enhong Chen, Yanjie Fu, Days on Market: Measuring Liquidity in Real Estate Markets, The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016): 393-402, San Francisco, USA, August 13-17, 2016. [PDF]
  • Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen, Finding Gangs in War from Signed Networks, The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016): 1505-1514, San Francisco, USA, August 13-17, 2016. [PDF]
  • Bojie Li, Kun Tan, Layong (Larry) Luo, Yanqing Peng, Renqian Luo, Ningyi Xu, Yongqiang Xiong, Peng Cheng, Enhong Chen, ClickNP: Highly Flexible and High Performance Network Processing with Reconfigurable Hardware, ACM International Conference on the applications, technologies, architectures, and protocols for computer communication (SIGCOMM'2016): 1-14, Florianópolis, Brazil, August 22-26, 2016. [PDF]
  • Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Fuzheng Zhang, Xing Xie, Qi Liu, Enhong Chen, A Contextual Collaborative Approach for App Usage Forecasting, The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'2016): 1247-1258, Heidelberg, Germany, September 12-16, 2016. [PDF]
  • Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen, Group Preference Aggregation: A Nash Equilibrium Approach, The 16th IEEE International Conference on Data Mining (ICDM'2016): 679-688, Barcelona, Spain, December 12-15, 2016. [PDF]
  • Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie, Aligned Matrix Completion for Recommendation in Multiple Domains, The 16th IEEE International Conference on Data Mining (ICDM'2016): 529-538, Barcelona, Spain, December 12-15, 2016. [PDF]
  • Zhe Wang, Wei He, Hua Wu, Haiyang Wu, Wei Li, Haifeng Wang and Enhong Chen, Chinese Poetry Generation with Planning based Neural Network, The 26th International Conference on Computational Linguistics (COLING'2016): 1051-1060, Osaka, Japan, December 13-16, 2016. [PDF]

2015

  • Hengshu Zhu, Hui Xiong, Yong Ge, and Enhong Chen, Discovery of Ranking Fraud for Mobile Apps, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 27(1): 74-87, January 2015. [PDF]
  • Zhefeng Wang, Enhong Chen*, Qi Liu, Yu Yang, Yong Ge, Biao Chang, Maximizing the Coverage of Information Propagation in Social Networks, The 24th International Joint Conference on Artificial Intelligence (IJCAI'2015): 2104-2110, Buenos Aires, Argentina, July 25-31, 2015. [PDF]
  • Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data, The 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2015): 1275-1284, Sygney, Australia, 2015. [PDF]
  • Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang, Matrix Factorization with Scale-Invariant Parameters, The 24th International Joint Conference on Artificial Intelligence (IJCAI'2015): 4017-4024, Buenos Aires, Argentina, July 25-31, 2015. [PDF]
  • Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu, Cognitive Modelling for Predicting Examinee Performance, The 24th International Joint Conference on Artificial Intelligence (IJCAI'2015): 1017-1024, Buenos Aires, Argentina, July 25-31, 2015. [PDF]
  • Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong, Enhong Chen, Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective, The 24th International Joint Conference on Artificial Intelligence (IJCAI'2015): 3650-3656, Buenos Aires, Argentina, July 25-31, 2015. [PDF]
  • Linli Xu, Aiqing Huang, Jianhui Chen, Enhong Chen, Exploiting Task-Feature Co-Clusters in Multi-Task Learning, The 29th AAAI Conference on Artificial Intelligence (AAAI'2015): 1931-1937, Austin, Texas USA, January 25–29, 2015. [PDF]
  • Linli Xu, Yitan Li, Yubo Wang and Enhong Chen, Temporally Adaptive Restricted Boltzmann Machine for Background Modeling, The 29th AAAI Conference on Artificial Intelligence (AAAI'2015): 1938-1944, Austin, Texas USA, January 25–29, 2015. [PDF]
  • Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen, A Nonconvex Relaxation Approach for Rank Minimization Problems, The 29th AAAI Conference on Artificial Intelligence (AAAI'2015): 1980-1986, Austin, Texas USA, January 25–29, 2015. [PDF]
  • Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou, A Novelty-Seeking based Dining Recommender System, The 24th International World Wide Web Conference (WWW'2015): 1362-1372, May 18-22, 2015, Florence, Italy. [PDF]
  • Xin Li, Guandong Xu, Enhong Chen, Lin Li, MARS: A Multi-Aspect Recommender System for Point-of-Interest, The 31st IEEE International Conference on Data Engineering (ICDE'2015): 1436-1439, Seoul, Korea, April 13-17, 2015. [PDF]
  • Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen, Popularity Modeling for Mobile Apps: A Sequential Approach, IEEE Transactions on Cybernetics (IEEE TC), 45(7): 1303-1314, July 2015. [PDF]
  • Defu Lian, Xing Xie, Vincent W. Zheng, Nicholas Jing Yuan, Fuzheng Zhang, Enhong Chen, CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 6(1):8, April 2015. [PDF]
  • Lei Zhang, Ping Luo, Linpeng Tang, Enhong Chen*, Qi Liu, Min Wang, Hui Xiong, Occupancy-based Frequent Pattern Mining, ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 10(2):14, October 2015. [PDF]
  • Zongda Wu, Jie Shi, Chenglang Lu, Enhong Chen, Guandong Xu, Guiling Li, Sihong Xie, Philip S. Yu, Constructing plausible innocuous pseudo queries to protect user query intention, Information Sciences, 325:215-226, July 2015. [PDF]
  • Guandong Xu, Zongda Wu, Guiling Li, Enhong Chen, Improving contextual advertising matching by using Wikipedia thesaurus knowledge, Springer Knowledge and Information System Journal (Springer KIS), 43(3): 599-631, June 2015. [PDF]
  • Biao Chang, Feida Zhu, Enhong Chen, Qi Liu, Information Source Detection via Maximum A Posteriori Estimation, The 15th IEEE International Conference on Data Mining (ICDM'2015): 21-30, Atlantic City, NJ, USA, November 14-17, 2015. [PDF]
  • Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen*, Hui Xiong, Xing Xie, Mining Indecisiveness in Customer Behaviors, The 15th IEEE International Conference on Data Mining (ICDM'2015): 281-290, Atlantic City, NJ, USA, November 14-17, 2015. [PDF]
  • Xin Li, Guandong Xu, Enhong Chen*, Lin Li, Learning User Preferences across Multiple Aspects for Merchant Recommendation, The 15th IEEE International Conference on Data Mining (ICDM'2015): 865-870, Atlantic City, NJ, USA, November 14-17, 2015. [PDF]
  • Linli Xu, Qi Zhou, Aiqing Huang, Wenjun Ouyang, Jingqi Wang, Enhong Chen, Feature Selection with Integrated Relevance and Redundancy Optimization, The 15th IEEE International Conference on Data Mining (ICDM'2015): 1063-1068, Atlantic City, NJ, USA, November 14-17, 2015. [PDF]
  • Liyuan Liu, Linli Xu, Zhen Wang and Enhong Chen, Community Detection Based on Structure and Content: A Content Propagation Perspective, The 15th IEEE International Conference on Data Mining (ICDM'2015): 271-280, Atlantic City, NJ, USA, November 14-17, 2015. [PDF]
  • Tong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen*, Guannan Liu, Exploring the Impact of Dynamic Mutual Influence on Social Event Participation, In Proceedings of 2015 SIAM International Conference on Data Mining (SDM'2015): 262-270, Vancouver, British Columbia, Canada, April 30-May 2, 2015. [PDF]
  • Guangxiang Zeng, Ping Luo, Enhong Chen*, Hui Xiong, Hengshu Zhu, Qi Liu, Convex Matrix Completion: A Trace-Ball Optimization Perspective, In Proceedings of 2015 SIAM International Conference on Data Mining (SDM'2015): 334-342, Vancouver, British Columbia, Canada, April 30-May 2, 2015. [PDF]
  • Le Wu, Qi Liu, Enhong Chen, Xing Xie and Chang Tan, Product Adoption Rate Prediction: A Multi-factor View, In Proceedings of 2015 SIAM International Conference on Data Mining (SDM'2015): 154-162, Vancouver, British Columbia, Canada, April 30-May 2, 2015, (Best of SDM 2015). [PDF]
  • Zaiyi Chen, Linli Xu, Enhong Chen, Chang Biao, Zhefeng Wang, Yitan Li, Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction, In Proceedings of 2015 SIAM International Conference on Data Mining (SDM'2015): 541-549, Vancouver, British Columbia, Canada, April 30-May 2, 2015. [PDF]

2014

  • Jie Zhang, Haijiang Zhang, Enhong Chen, Yi Zheng, Wenhuan Kuang & Xiong Zhang, Real-time earthquake monitoring using a search engine method, Nature Communications 5, Article number: 5664, doi:10.1038/ncomms6664, December 2014. [PDF]
  • Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu, A Cocktail Approach for Travel Package Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 26(2): 278-293, February 2014. [PDF]
  • Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jiilei Tian, Mobile App Classification with Enriched Contextual Information, IEEE Transactions on Mobile Computing (IEEE TMC), 13(7): 1550-1563, July 2014. [PDF]
  • Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian, Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach, ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 9(2): 10, September 2014. [PDF]
  • Chang Tan, Qi Liu, Enhong Chen, Hui Xiong, Xiang Wu, Object-oriented Travel Package Recommendation, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 5(3): 43, September 2014. [PDF]
  • Hengshu Zhu, Enhong Chen, Hui Xiong, Kuifei Yu, Huanhuan Cao, Jilei Tian, Mining Mobile User Preferences for Personalized Context-Aware Recommendation, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 5(4): 58, December 2014. [PDF]
  • Tong Xu, Hengshu Zhu, Enhong Chen*, Baoxing Huai, Hui Xiong, Jilei Tian, Learning to Annotate via Social Interaction Analytics, Springer Knowledge and Information System Journal (Springer KIS) , 41(2): 251-276, November 2014. [PDF]
  • Hengshu Zhu, Enhong Chen*, Hui Xiong, Huanhuan Cao, Jilei Tian, Ranking User Authority with Relevant Knowledge Categories for Expert Finding, Springer World Wide Web Journal (Springer WWWJ), 17: 1081-1107, September 2014. [PDF]
  • Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian, Jinghai Rao, Learning to detect subway arrivals for passengers on a train. Frontiers of Computer Science (Springer FCS), 8(2): 316-329, April 2014. [PDF]
  • Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen*, Mobile App Recommendations with Security and Privacy Awareness, The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2014): 951-960, New York, NY, USA, August 24-27, 2014. [PDF]
  • Zhefeng Wang, Hao Wang, Qi Liu, Enhong Chen*, Influential Nodes Selection: A Data Reconstruction Perspective, The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2014): 879-882, Golden Coast, Australia, July 6-11, 2014. [PDF]
  • Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen*. Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. The 14th IEEE International Conference on Data Mining (ICDM'2014): 1109-1114, Shenzhen, China, December 14-17, 2014. [PDF]
  • Qi Liu, Biao Xiang, Enhong Chen*, Hui Xiong, Fangshuang Tang, Jeffrey Xu Yu, Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach, The 23rd ACM International Conference on Information and Knowledge Management (CIKM'2014) : 171-180, Shanghai, China, November 3-7, 2014. [PDF]
  • Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen*, Hui Xiong, Chang Tan, Predicting the Popularity of Online Serials with Autoregressive Models, The 23rd ACM International Conference on Information and Knowledge Management (CIKM'2014): 1339-1348, Shanghai, China, November 3-7, 2014. [PDF]
  • Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui, GeoMF: Joint Geographical Modeling and Matrix Factorization for Point-of-Interest Recommendation, The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2014): 831-840, New York, NY, USA, August 24-27, 2014. [PDF]
  • Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu, Learning Deep Representations for Graph Clustering, The 28th AAAI Conference on Artificial Intelligence (AAAI'2014): 1293-1299, Québec City, Canada, Jul 27-31, 2014. [PDF]
  • Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu, Agent Behavior Prediction and Its Generalization Analysis, The 28th AAAI Conference on Artificial Intelligence (AAAI'2014): 1300-1306, Québec City, Canada, Jul 27-31, 2014. [PDF]
  • Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen*, Hui Xiong. Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective. The 14th IEEE International Conference on Data Mining (ICDM'2014): 350-359, Shenzhen, China, December 14-17, 2014. [PDF]
  • Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu. Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective. The 14th IEEE International Conference on Data Mining (ICDM'2014): 697-706, Shenzhen, China, December 14-17, 2014. [PDF]
    Notice: The conference version has an error in the part of graphical model. We have fixed it. We apologize for our mistake.
  • Linli Xu, Zhen Wang, Zefan Shen, Yubo Wang, Enhong Chen. Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels. The 14th IEEE International Conference on Data Mining (ICDM'2014): 1067-1072, Shenzhen, China, December 14-17, 2014. [PDF]
  • Aiqing Huang, Linli Xu, Yitan Li, Enhong Chen. Robust Dynamic Trajectory Regression on Road Networks: A Multi-Task Learning Framework. The 14th IEEE International Conference on Data Mining (ICDM'2014): 857-862, Shenzhen, China, December 14-17, 2014. [PDF]
  • Haocheng Wu, Wei Wu, Ming Zhou, Enhong Chen, Lei Duan, Heung-Yeung Shum, Improving Search Relevance for Short Queries in Community Question Answering, The 7th ACM International Conference on Web Search and Data Mining (WSDM'2014): 43-52, New York, NY, USA, February 24-28, 2014. [PDF]

2013

  • Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, PageRank with Priors: An Influence Propagation Perspective. The 23rd International Joint Conference on Artificial Intelligence (IJCAI'2013): 2740-2746, Beijing, China, August 3-9, 2013. [PDF]
  • Zhen Liao, Daxin Jiang, Jian Pei, Yalou Huang, Enhong Chen, Huanhuan Cao, Hang Li, A vlHMM Approach to Context-Aware Search, ACM Transactions on the Web (ACM TWEB), 7(4):22, October 2013. [PDF]
  • Wanyong Tian, Yingchao Zhao, Liang Shi, Qingan Li, Jianhua Li, Chun Jason Xue, Minming Li, Enhong Chen, Optimal Task Allocation on Non-Volatile Memory Based Hybrid Main Memory, IEEE Transactions on Very Large Scale Integration Systems (IEEE TVLSI), 21(7): 1271-1284, July 2013. [PDF]
  • Qi Liu, Haiping Ma, Enhong Chen, Hui Xiong, A Survey of Context-Aware Mobile Recommendations. International Journal of Information Technology and Decision Making (IJITD), 12(1): 139-172, January 2013. [PDF]
  • Weiwei Wu, Minming Li, Enhong Chen, Optimal Key Tree Structure for Two-user Replacement and Deletion Problems. Journal of Combinatorial Optimization (J. Comb. Optim). 26(1): 44-70, July 2013. [PDF]
  • Qi Liu, Biao Xiang, Lei Zhang, Enhong Chen*, Ji Chen. Linear Computation for Independent Social Influence. The 13th IEEE International Conference on Data Mining (ICDM'2013): 468-477, Dallas, Texas, USA, December 7-10, 2013. [PDF]
  • Guangxiang Zeng, Ping Luo, Enhong Chen, Min Wang, From Social User Activities to People Affiliation. The 13th IEEE International Conference on Data Mining (ICDM'2013): 1277-1282, Dallas, Texas, USA, December 7-10, 2013. [PDF]
  • Hao Wang, Zhengdong Lu, Hang Li and Enhong Chen, A Dataset for Research on Short-Text Conversation, The 2013 Conference on Empirical Methods on Natural Language Processing (EMNLP'2013): 935-945, Seattle, USA, October 18-21, 2013. [PDF]
  • Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen, Ranking Fraud Detection for Mobile Apps: A Holistic View, The 22rd ACM International Conference on Information and Knowledge Management (CIKM'2013): 619-628, San Francisco, CA, USA, October 27-November 1, 2013. [PDF]
  • Miao Zhang, Chunni Dai, Chris H. Q. Ding, Enhong Chen, Probabilistic Solutions of Influence Propagation on Social Networks. The 22rd ACM International Conference on Information and Knowledge Management (CIKM'2013): 429-438, San Francisco, CA, USA, October 27-November 1, 2013. [PDF]
  • 孙光福，吴乐，刘淇，朱琛，陈恩红*，基于时序行为的协同过滤推荐算法，软件学报，24(11): 2721 – 2733，2013年11月. [PDF]

2012

  • Xueying Li, Huanhuan Cao, Enhong Chen*, and Jilei Tian, Learning to Infer the Status of Heavy-duty Sensors for Energy-efficient Context-sensing. ACM Transactions on Intelligent Systems and Technology (ACM TIST). 3(2):35:565-582. 23, February 2012. [PDF]
  • Tengfei Bao, Happia Cao, Enhong Chen*, Jilei Tian, and Hui Xiong. An unsupervised approach to modeling personalized contexts of mobile users. Springer Knowledge and Information Systems Journal (Springer KIS), 31(2): 345–370, May 2012. [PDF]
  • Qi Liu, Enhong Chen, Hui Xiong, Chris H.Q. Ding, Jian Chen, Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking, IEEE Transactions on Systems, Man, and Cybernetics - Part B (IEEE TSMCB), 42(1):218-233, February 2012. [PDF]
  • Lei Zhang, Linpeng Tang, Ping Luo, Enhong Chen, Limei Jiao, Min Wang, Guiquan Liu, Harnessing the Wisdom of the Crowds for Accurate Web Page Clipping, The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2012): 570-578, Beijing, China, August 12-16, 2012. [PDF]
  • Haiping Ma, Huanhuan Cao, Qiang Yang, Enhong Chen and Jilei Tian, A Habit Mining Approach for Discovering Similar Mobile Users, The 21st International World Wide Web Conference (WWW'2012): 231-240, Lyon, France, April 16-20, 2012. [PDF]
  • Junyuan Xie, Linli Xu, Enhong Chen, Image Denoising and Inpainting with Deep Neural Networks, Neural Information Processing Systems Foundation (NIPS'2012): 341-349, Lake Tahoe, Nevada, USA, December 3–6, 2012. [PDF]
  • Jingsong Lv, Victor C.S.Lee, Minming li, Enhong Chen, Profit-based scheduling and channel allocation for multi-item requests in real-time on-demand data broadcast systems, Data and Knowledge Engineering (DKE), 73: 23–42, March 2012. [PDF]
  • Weiwei Wu, Minming li, Wanyong Tian, Jason Chun Xue, Enhong Chen, Single and Multiple Device DSA Problems, Complexities and Online Algorithms, Theoretical Computer Science (TCS), 420: 89–98, February 2012. [PDF]
  • Hengshu Zhu, Enhong Chen, Huanhuan Cao, Jilei Tian, Context-Aware Expert Finding in Tag Based Knowledge Sharing Communities. International Journal of Knowledge and Systems Science (IJKSS) 3(1): 48-63, January 2012. [PDF]
  • Tong Xu, Dong Liu, Huanhuan Cao, Enhong Chen, Jilei Tian, Towards Annotating Media Contents through Social Diffusion Analysis, The 12th IEEE International Conference on Data Mining (ICDM'2012): 1158-1163, Brussels, Belgium, December 10-13, 2012. [PDF]
  • Linli Xu, Bo Li, Enhong Chen, Ensemble Pruning via Constrained Eigen-Optimization, The 12th IEEE International Conference on Data Mining (ICDM'2012): 715-724, Brussels, Belgium, December 10-13, 2012. [PDF]
  • Hengshu Zhu, Enhong Chen, Kuifei Yu, Huanhuan Cao, Hui Xiong, Jilei Tian. Mining Personal Context-Aware Preferences for Mobile Users. The 12th IEEE International Conference on Data Mining (ICDM'2012): 1212-1217, Brussels, Belgium, December 10-13, 2012. [PDF]
  • Hengshu Zhu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian. Exploiting Enriched Contextual Information for Mobile App Classification. The 21st ACM Conference on Information and Knowledge Management (CIKM'2012): 1617-1621, Maui, HI, USA, October 29–November 2, 2012. [PDF]
  • Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang, Leveraging Tagging for Neighborhood-aware Probabilistic Matrix Factorization. The 21st ACM Conference on Information and Knowledge Management (CIKM'2012): 1854-1858, Maui, HI, USA, October 29–November 2, 2012. [PDF]
  • Yu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, On Approximation of Real-World Influence Spread, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'2012) (2) 2012: 548-564, Bristol, UK, September 24-28, 2012. [PDF]

2011

  • Zhen Liao, Daxin Jiang, Enhong Chen, Jian Pei, Huanhuan Cao, Hang Li, Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 3(1):17, October 2011. [PDF]
  • Enhong Chen*, Yanggang Lin, Hui Xiong, Qiming Luo, and Haiping Ma, Exploiting Probabilistic Topic Models to Improve Text Categorization under Class Imbalance, Information Processing and Management (IPM), 47(2),202-214, March 2011. [PDF]
  • Qi Liu, Yong Ge, Zhongmou li, Enhong Chen*, Hui Xiong, Personalized Travel Package Recommendation. The 11th IEEE International Conference on Data Mining (ICDM'2011):407-416 (Best Research Paper) Vancouver, Canada, December 11-14, 2011. [PDF]
  • Hengshu Zhu, Huanhuan Cao, Hui Xiong, Enhong Chen, Jilei Tian, Towards Expert Finding by Leveraging Relevant Categories in Authority Ranking, The 20th ACM Conference on Information and Knowledge Management (CIKM'2011): 2221-2224, Glasgow, UK, October 24-28, 2011. [PDF]
  • Fan Ye, Qing Li, Enhong Chen. Benefit based cache data placement and update for mobile peer to peer networks. Springer World Wide Web Journal (Springer WWWJ), 14(3): 243-259, May 2011. [PDF]

2010

  • Wanyong Tian, Minming Li, Enhong Chen, Energy Optimal Schedules for Jobs with Multiple Active Intervals, Theoretical Computer Science (TCS), 411(3): 672-676, January 2010. [PDF]
  • Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, Enhong Chen, Hang Li, Context-Aware Ranking in Web Search, The 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2010): 451-458, Geneva, Switzerland, July 19-23, 2010. [PDF]
  • Tengfei Bao, Happia Cao, Enhong Chen, Jilei Tian, Hui Xiong, An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users. The 10th IEEE International Conference on Data Mining (ICDM'2010) : 38-47, Sydney, Australia, Dec 13-17, 2010. [PDF]
  • Huanhuan Cao, Tengfei Bao, Qiang Yang, Enhong Chen, Jilei Tian, An Effective Approach for Mining Mobile User Habits, The 19th ACM International Conference on Information and Knowledge Management (CIKM'2010): 1677-1680, Toronto, Canada, October 26-30, 2010. [PDF]
  • Qi Liu, Enhong Chen, Hui Xiong, Chris Ding, Exploiting User Interests for Collaborative Filtering:Interests Expansion via Personalized Ranking, The 19th ACM International Conference on Information and Knowledge Management (CIKM'2010): 1697-1700, Toronto, Canada, October 26-30, 2010. [PDF]
  • Fan Ye, Qing Li, Enhong Chen, Benefit Based Cache data Placement and Update for Mobile Peer to Peer Networks, The 3rd IEEE International Conference on Ubi-Media Computing (U-Media 2010), pp 50-57, Jinhua, China, July 5-7, 2010. (U-media 2010 Best Paper Award). [PDF]

2009

  • Weiwei Wu, Minming Li and Enhong Chen, Optimal Tree Structures for Group Key Tree Management Considering Insertion and Deletion Cost, Theoretical Computer Science (TCS), 410(27-29), 2619-2631, June 2009. [PDF]
  • Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang, Context-Aware Query Classification, The 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2009): 3-10, July 19–23, 2009, Boston, Massachusetts, USA. [PDF]
  • Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, Hang Li, Towards Context-Aware Search by Learning A Very Large Variable Length Hidden Markov Model from Search Logs, The 18th International World Wide Web Conference (WWW'2009): 191-200, April 20–24, 2009, Madrid, Spain. [PDF]
  • Huanhuan Cao, Enhong Chen, Jie Yang, Hui Xiong, Enhancing Recommender Systems under Volatile User Interest Drifts, The 18th ACM International Conference on Information and Knowledge Management (CIKM'2009): 1257-1266, November 2–6, 2009, Hong Kong, China. [PDF]

2008

  • Enhong Chen, Huanhuan Cao, Qing Li, Tieyun Qian, Efficient Strategies for Tough Aggregate Constraint Based Sequential Pattern Mining, Information Sciences, 178(6):1498-1518, March 2008. [PDF]
  • Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen liao, Enhong Chen, Hang Li, Context-Aware Query Suggestion by Mining Click-Through and Session Data, in the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2008): 875-883, Las Vegas, Nevada, USA, August 24–27, 2008.(Best Application Paper Award). [PDF]
  • Xiaojun Quan, Enhong Chen, Qiming Luo, Hui Xiong, Adaptive Label-Driven Scaling for Latent Semantic Indexing, The 31st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2008): 827-828, July 20–24, 2008, Singapore. [PDF]
  • Weiwei Wu, Minming Li and Enhong Chen, Optimal Tree Structures for Group Key Tree Management Considering Insertion and Deletion Cost, The Fourteenth Annual International Computing and Combinatorics Conference (COCOON'2008), June 27-29, Dalian, China. [PDF]
  • Fan Ye, Qing Li, Enhong Chen, Adaptive Caching with Heterogeneous Devices in Mobile Peer to Peer Network, The 23rd Annual ACM Symposium on Applied Computing (SAC'2008), March 16-20, 2008, Fortaleza, Ceará, Brazil. [PDF]

Before 2007

  • Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen, On the Strength of Hyperclique Patterns for Text Categorization, Information Sciences, 177(19): 4040-4058, October 2007. [PDF]
  • Enhong Chen, Shu Wang, Phillip C-y Sheu, A Novel Approach of Table Detection and Analysis for Semantic Annotation, International Journal on Artificial Intelligence Tools (IJAIT), 15(3): 465-480, June 2006. [PDF]
  • Tak-Lam Wong, Wai Lam, Enhong Chen, Automatic Domain Ontology Generation from Web Sites, Journal of Integrated Design and Process Science, 9(3): 29-38, September 2005. [PDF]
  • Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen, Adapting Association Patterns for Text Categorization: Weakness and enhancements, The 15th ACM International Conference on Information and Knowledge Management (CIKM'2006): 782-783, November 5–11, 2006, Arlington, Virginia, USA. [PDF]

Selected Academic Activities

  • Editorial Board Member:
    • IEEE Transactions on Knowledge and Data Engineering, Associate Editor
    • ACM Transactions on Intelligent Systems and Technology, Associate Editor
    • IEEE Transactions on Systems, Man and Cybernetics: Systems, Associate Editor
    • World Wide Web Journal, Associate Editor
    • Journal of Software (软件学报), Guest Editor of Big Data Analysis
    • Journal of Computer Research and Development (计算机研究与发展)
    • Pattern Recognition and Artificial Intelligence (模式识别与人工智能)
  • PC Member:
    • The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2010, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021)
    • The International Joint Conference on Artificial Intelligence (2015, 2017, 2019, 2020)
    • The AAAI Conference on Artificial Intelligence (2012, 2016, 2017, 2018, 2019, 2020)
    • The IEEE International Conference on Data Mining (2012, 2013, 2015, 2017)
    • The SIAM International Conference on Data Mining (2013, 2014, 2015, 2020)
    • The ACM International Conference on Information and Knowledge Management (2016, 2017)
    • The Pacific-Asia Conference on Knowledge Discovery and Data Mining (2013, 2014, 2015, 2016)
    • The International Conference on Web-Age Information Management (2013, 2014, 2015)
    • The ACM Recommender Systems Conference (2014, 2015, 2017)
    • The International Conference on Web Information Systems Engineering (2015)
  • Conference/Workshop Organization:
    • Co-chair, KDD’2012 Workshop on Context Discovery and Data Mining
    • PC Chair, The 29th National Database Conference of China (NDBC 2012)
    • PC Chair, The 5th China Conference on Data Mining (CCDM 2014)
    • PC Chair, The 12th China National Computer Congress (CNCC 2015)
    • PC Chair, The 3th CCF BigData Conference (2015)
    • Conference Chair, Big Data Technology Conference (2019)
    • PC chair, The IEEE International Conference on Knowledge Graph (ICKG 2020)

Honors and Awards

  • First Prize of Natural Science of Ministry of Education (2018)
  • 安徽省“特支计划”创新领军人才(2016)
  • 安徽省政府特殊津贴 (2015)
  • National Science Fund for Distinguished Young Scholars (2013)
  • Second Prize of Natural Science Award (Rank 1st, by Ministry of Education, 2012)
  • CAS Award for Outstanding PhD Supervisors (2012, 2014, 2016)
  • CCF National Excellent Doctorial Dissertation Award for Advisor (2010)
  • Pollyanna Chu Award for Excellent Advisor (2013, 2014, 2016)
  • Kuangcheng Wong Award for Education (2006)
  • Program for New Century Excellent Talents in University (2005)

Courses

  • Machine Learning and Knowledge Discovery (2020 Spring or Fall Semester)
  • Introduction to Data Mining (2020 Spring or Fall Semester)