Linan Yue, Qi Liu*, Binbin Jin, Han Wu, and Yanqing An. A Circumstance-aware Neural Framework for Explainable Legal Judgment Prediction. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024, accepted.
Zheng Zhang, Le Wu, Qi Liu*, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, EnHong Chen. Understanding and Improving Fairness in Cognitive Diagnosis. SCIENCE CHINA Information Sciences (SCIS), 2024. [PDF]
Qingyang Mao, Zhi Li, Qi Liu*, Likang Wu, Hefu Zhang, Enhong Chen, Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-shot Learning Paradigm, ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 2024, accepted.
Shuanghong Shen, Qi Liu*, Zhenya Huang, Yonghe Zheng, Minghao Yin, Minjuan Wang, Enhong Chen*. A Survey of Knowledge Tracing: Models, Variants, and Applications. IEEE Transactions on Learning Technologies (TLT), 2024. [PDF]
Rui Lv, Junliang Guo, Rui Wang, Xu Tan, Tao Qin, Qi Liu*. N-Gram Nearest Neighbor Machine Translation. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 2024, accepted.
Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen. A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions. (in submission). [ARXIV]
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 (IEEE TKDE). 33(1): 100-115, January 2021. (ESI Highly Cited Paper) [PDF] [SLIDE] [CODE]
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 Transactions on Big Data (IEEE TBD), 2023, accepted.
Zaixi Zhang, Qi Liu*, Chee-Kong Lee, Chang-Yu Hsieh, Enhong Chen. An Equivariant Generative Framework for Molecular Graph-Structure Co-Design. Chemical Science. 14(31): 8380-8392, July 2023, [PDF]
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 Technologies (IEEE TLT). 16(3): 306-323, June 2023. [PDF]
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 (IEEE TKDE). 35(9): 8729–8741, September 2023.
Fei Wang, Qi Liu*, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su. NeuralCD: A General Framework for Cognitive Diagnosis. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). 35(8): 8312-8327, August 2023. [PDF]
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 (ACM TOIS). 41(2): 1-33, April 2023. [PDF]
Ruijun Sun, Hanqin Tao, Yanmin Chen, Qi Liu*. HACAN: a hierarchical answer-aware and context-aware network for question generation. Frontiers of Computer Science (FCS). 18(5): 185321, 2023.
Runlong Yu, Qi Liu*, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma*. Collaborative List-and-Pairwise Filtering from Implicit Feedback. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). 34(6): 2667-2680, June 2022. [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): 1-26, July 2018. [PDF] [CODE][DATA]
Hongyuan Zhu, Qi Liu*, Nicholas Jing Yuan*, Kun Zhang, Enhong Chen. Pop Music Generation: from Melody to Multi-style Arrangement. ACM Transactions on Knowledge Discovery from Data (ACM TKDD). 14(5): 1-31, October 2020. [DATA]
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]
Jianfu Zhu, Zhongkai Hao, Qi Liu*, Yu Yin, Chengqiang Lu, Zhenya Huang, Enhong Chen. Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm. Journal of Computer Science and Technology (JCST). (Accepted)
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] [DATA & CODE]
Qi Liu, Hongke Zhao, Le Wu, Zhi Li, Enhong Chen. Illuminating Recommendation by Understanding the Explicit Item Relations. Journal of Computer Science and Technology (JCST). 33(4): 739-755, 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 2017. [PDF]
Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, and 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]
Chang Tan, Qi Liu*, Enhong Chen, Hui Xiong, and Xiang Wu. Object-oriented Travel Package Recommendation. ACM Transactions on Intelligent Systems and Technology (ACM TIST). 5(3): 43, September 2014. [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]
Qi Liu, Haiping Ma, Enhong Chen, and Hui Xiong. A survey of Context-aware Mobile Recommendations. International Journal of Information Technology and Decision Making (IJITDM). 12(1): 139-172, 2013. [PDF]
Qi Liu, Enhong Chen, Hui Xiong, Chris H.Q. Ding and Jian Chen. Enhancing Collaborative Filtering by User Interests Expansion via Personalized Ranking. IEEE Transactions on Systems, Man, and Cybernetics - Part B (IEEE TSMCB). 42(1): 218-233, 2012. [PDF]
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). 17(9): 1–31, June 2023, accepted.
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). 17(8): 1–23, May 2023, accepted.
Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Enhong Chen. Learning Relation-Enhanced Hierarchical Solver for Math Word Problems. IEEE Transaction on Neural Networks and Learning Systems (IEEE TNNLS). May 2023, accepted.
Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Defu Lian, Xin Li, Hao Wang. An Efficient and Robust Semantic Hashing Framework for Similar Text Search. ACM Transactions on Information System (ACM TOIS). 41(4): 1-31, March 2023. [PDF]
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 Transactions on Knowledge and Data Engineering (IEEE TKDE). 2022. [PDF]
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 (ACM TOIS). 2022. [PDF]
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 (IEEE TKDE), 2022. [PDF]
Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen. Color Enhanced Cross Correlation Net for Image Sentiment Analysis. IEEE Transactions on Multimedia (IEEE TMM). 2021. [PDF]
Xianfeng Liang, Shuheng Shen, Enhong Chen, Jinchang Liu, Qi Liu, Yifei Cheng, Zhen Pan. Accelerating Local SGD for Non-IID Data using Variance Reduction. Frontiers of Computer Science (FCS). 2021. [PDF]
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 (ACM TOIS). 40(2): 1-28, 2021. [PDF]
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 Transactions on Knowledge and Data Engineering (IEEE TKDE). 2021. [PDF]
Qi Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong. Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Result. ACM Transactions on Information Systems (ACM TOIS). 39(3): 1-32, 2021, accepted.
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). 38(2), Article 19, February 2020. [PDF] [SLIDE]
Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He. Understanding the Users and Videos by Mining a Novel Danmu Dataset. IEEE Transactions on Big Data (IEEE TBD). [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).(Accepted)
Keli Xiao, Qi Liu, Chuanren Liu, Hui Xiong. Price Shock Detection with an Influence-Based Model of Social Attention. ACM Transactions onManagement Information Systems (ACM TMIS).(Accepted)
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]
Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao. Exploiting Multi-Channels Deep Convolutional Neural Networks for Multivariate Time Series. Frontiers of Computer Science (FCS). 10(1): 96-112, February 2016. (Outstanding Paper Award) [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). 11(3): 493-506, 2016. [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, 2017. [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]
Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian. Towards Personalized Context Recognition for Mobile Users: A Semi-Supervised Bayesian HMM Approach. ACM Transactions on Knowledge Discovery from Data (ACM TKDD). 9(2): 10, September 2014. [PDF]
Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tong Xu, and 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]
Yong Ge, Hui Xiong, Alexander Tuzhilin and Qi Liu. Cost-aware Collaborative Filtering for Travel Tour Recommendations. ACM Transactions on Information Systems (ACM TOIS). 32(1): 4, 2014. [PDF]
Qi Liu, Towards a New Generation of Cognitive Diagnosis, The 30th International Joint Conference on Artificial Intelligence (IJCAI'2021), Virtual Conference, August 21-26 2021. (Early Career Track: Early-Career Spotlight Talk) [PDF] [SLIDE]
Weibo Gao, Qi Liu*, Rui Li, Yuze Zhao, Hao Wang, Linan Yue, Fangzhou Yao, Zheng Zhang, Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor, The 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2025), Toronto, Canada, August 3-7, 2025. Accepted.
Rui Li, Junfeng Kang, Qi Liu*, Liyang He, Zheng Zhang, Yunhao Sha, Linbo Zhu, Zhenya Huang, MGS3: A Multi-Granularity Self-Supervised Code Search Framework, The 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2025), Toronto, Canada, August 3-7, 2025. Accepted.
Weibo Gao, Qi Liu*, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang. Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems, The 39th AAAI Conference on Artificial Intelligence (AAAI'2025). Accepted.
Rui Lv, Qi Liu*, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu. GenAL: Generative Agent for Adaptive Learning, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI'2025). Accepted.
Hao Jiang, Qi Liu*, Rui Li, Yuze Zhao, Yixiao Ma, Shengyu Ye, Junyu Lu, Yu Su. VERSE: Verification-based Self-Play for Code Instructions, The 39th AAAI Conference on Artificial Intelligence (AAAI'2025). Accepted.
Mingyue Cheng, Xiaoyu Tao, Qi Liu*, Hao Zhang, Yiheng Chen, Defu Lian. Cross-Domain Pre-training with Language Models for Transferable Time Series Representations, The 18th ACM International Conference on Web Search and Data Mining (WSDM'2025), Hannover, Germany, March 10th-14th, 2025. Accepted.
Mingyue Cheng, Yiheng Chen, Qi Liu*, Zhiding Liu, Yucong Luo, Enhong Chen. InstructTime: Advancing Time Series Classification with Multimodal Language Modeling, The 18th ACM International Conference on Web Search and Data Mining (WSDM'2025), Hannover, Germany, March 10th-14th, 2025. Accepted.
Zirui Liu, Yan Zhuang, Qi Liu*, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang, Computerized Adaptive Testing via Collaborative Ranking, The 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024), Vancouver, December 10–15 2024. Accepted.
Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu*, Mengxiao Zhu, Xing Shi, Wei Lin, PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations, The 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024), Vancouver, Canada, December 10-15 2024. Accepted.
Weibo Gao, Qi Liu*, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang, Collaborative Cognitive Diagnosis with Disentangled Representation Learning, The 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024), Vancouver, Canada, December 10-15 2024. Accepted.
Zaixi Zhang, Mengdi Wang, Qi Liu*, FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling, The 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024), Vancouver, December 10–15 2024. Accepted.
Zaixi Zhang, Marinka Zitnik*, Qi Liu*, Generalized Protein Pocket Generation with Prior-Informed Flow Matching, The 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024), Vancouver, December 10–15 2024. Accepted.
Jiaxian Yan, Zaixi Zhang, Jintao Zhu, Jianfeng Pei, Qi Liu*, DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking, The 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024), Vancouver, December 10–15 2024. Accepted.
Fangzhou Yao, Qi Liu*, Linan Yue, Weibo Gao, Jiatong Li, Xin Li, Yuanjing He, AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling. The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2024), Barcelona, Spain, August 25-29. Accepted.
Linan Yue, Qi Liu*, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao, Federated Self-Explaining GNNs with Anti-shortcut Augmentations. The Forty-first International Conference on Machine Learning (ICML'2024), Vienna, Austria, July 21-27. Accepted.
Yu Yuan, Lili Zhao, Kai Zhang, Guangting Zheng, Qi Liu*, Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models, Conference on Empirical Methods in Natural Language Processing (EMNLP'2024), Miami, Florida, November 12–16 2024. Accepted.
Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, Feng Hu, Yu Su, Qi Liu*, I-AM-G: Interest Augmented Multimodal Generator for Item Personalization, Conference on Empirical Methods in Natural Language Processing (EMNLP'2024), Miami, Florida, November 12–16 2024. Accepted.
Rui Li, Qi Liu*, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang, Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'2024), Miami, Florida, November 12–16 2024. Accepted.
Yuxiang Guo, Qi Liu*, Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su, Enhong Chen, Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach, Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM'2024), Boise, ID, USA, October 21–25 2024. Accepted.
Dongxuan Han, Qi Liu*, Siqi Lei, Shiwei Tong, Wei Huang, HeckmanCD: Exploiting Selection Bias in Cognitive Diagnosis, Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM'2024), Boise, ID, USA, October 21–25 2024. Accepted.
Jiatong Li, Qi Liu*, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su, Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm, The 33rd International World Wide Web Conference (WWW'2024), Singapore, May 13-17 2024. Accepted.
Zheng Zhang, Qi Liu*, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao, Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling, The 33rd International World Wide Web Conference (WWW'2024), Singapore, May 13-17 2024. Accepted.
Linan Yue, Qi Liu*, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li, Cooperative Classification and Rationalization for Graph Generalization, The 33rd International World Wide Web Conference (WWW'2024), Singapore, May 13-17 2024. Accepted.
Mingyue Cheng , Hao Zhang, Jiqian Yang, Qi Liu*, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen. Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform, The 33rd International World Wide Web Conference (WWW'2024), Singapore, May 13-17 2024. Accepted.
Lili Zhao, Qi Liu*, Linan Yue, Wei Chen, Liyi Chen, Ruijun Sun and Chao Song, COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks, The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2024), Washington DC, USA, July 14-18 2024. Accepted.
Linan Yue, Qi Liu*, Lili Zhao, Li Wang, Weibo Gao and Yanqing An, Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models, The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2024), Washington DC, USA, July 14-18 2024. Accepted.
Qingyang Mao, Qi Liu*, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang, Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation, The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2024), Washington DC, USA, July 14-18 2024. Accepted.
Linan Yue, Qi Liu*, Yichao Du, Li Wang, Weibo Gao, Yanqing An, Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery, The twelfth International Conference on Learning Representations (ICLR'2024), Vienna Austria, May 7-11 2024. Accepted.
Weibo Gao, Qi Liu*, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He, Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives, The 38th AAAI Conference on Artificial Intelligence (AAAI'2024), Vancouver, Canada, February 20-27 2024. Accepted.
Rui Li, Liyang He, Qi Liu*, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang, CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework, The 38th AAAI Conference on Artificial Intelligence (AAAI'2024), Vancouver, Canada, February 20-27 2024. Accepted.
Zhe Yang, Qi Liu*, Kai Zhang, Shiwei Tong, Enhong Chen, GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas, The 17th ACM International Conference on Web Search and Data Mining (WSDM'2024), Mérida, México, March 4-8 2024. Accepted.
Linan Yue, Qi Liu*, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao, FedJudge: Federated Legal Large Language Model, The International Conference on Database Systems for Advanced Applications (DASFAA'2024), Gifu, Japan, July 3-5 2024. Accepted.
Mingyue Cheng, Hao Zhang, Qi Liu*, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Longfei Li, Jun Zhou, Empowering Sequential Recommender Systems from Mixture of Collaborative Signals and Semantic Relatedness, The International Conference on Database Systems for Advanced Applications (DASFAA'2024), Gifu, Japan, July 3-5 2024. Accepted.
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, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS'2023), New Orleans, USA, Dec 10-16 2023. Accepted.
Yang Yu, Qi Liu*, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Sanshi Lei Yu, AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS'2023), New Orleans, USA, Dec 10-16 2023. Accepted.
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, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS'2023), New Orleans, USA, Dec 10-16 2023. Accepted.
Zaixi Zhang, Zepu Lu, Zhongkai Hao, Marinka Zitnik, Qi Liu*, Full Atom Protein Pocket Design via Iterative Refinement, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS'2023), New Orleans, USA, Dec 10-16 2023. Accepted.
Linan Yue, Qi Liu*, Li Wang, Yanqing An, Yichao Du, Zhenya Huang, Interventional Rationalization, The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP'2023), Singapore, Dec 6-10 2023. Accepted.
Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu*, Enhong Chen, Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2023), Long Beach, CA, August 6-10 2023. [PDF]
Sanshi Lei Yu, Qi Liu*, Fei Wang, Yang Yu and Enhong Chen, Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering, The 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023), Birmingham, United Kingdom, October 21–25 2023. Accepted.
Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu*, Yu Su and Shijin Wang, PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning, The 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023), Birmingham, United Kingdom, October 21–25 2023. Accepted.
Xin Jin, Qi Liu*, Linan Yue, Ye Liu, Lili Zhao, Weibo Gao, Zheng Gong, Kai Zhang, Haoyang Bi, Diagnosis then Aggregation: An Adaptive Ensemble strategy for Keyphrase Extraction, The 3rd CAAI International Conference on Artificial Intelligence (CICAI'2023), Fuzhou, China, July 22nd-23rd. Accepted. (Best paper runner-up award)
Fangzhou Yao, Qi Liu*, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang, Exploiting Non-Interactive Exercises in Cognitive Diagnosis, The 32nd International Joint Conference on Artificial Intelligence (IJCAI'2023), Macao, S.A.R, China, August 19-25 2023. [PDF]
Meikai Bao, Qi Liu*, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou, Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering, The 32nd International Joint Conference on Artificial Intelligence (IJCAI'2023), Macao, S.A.R, China, August 19-25 2023. [PDF]
Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu*, Zhiyuan Cheng, Jinze Wu, Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization, The 32nd International Joint Conference on Artificial Intelligence (IJCAI'2023), Macao, S.A.R, China, August 19-25 2023. [PDF]
Zaixi Zhang, Qi Liu*, Learning Subpocket Prototypes for Generalizable Structure-based Drug Design, The Fortieth International Conference on Machine Learning (ICML'2023), Hawaii, USA, July 23-29 2023. [PDF]
Weibo Gao, Hao Wang, Qi Liu*, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang, Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis, The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023), Taipei, Taiwan, July 23–27 2023. [PDF]
Zaixi Zhang, Qi Liu*, Zhicai Wang, Zepu Lu, Qingyong Hu, Backdoor Defense via Deconfounded Representation Learning, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'2023), Vancouver, Canada, June 18-22 2023. [PDF]
Mingyue Cheng, Qi Liu*, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen, FormerTime: Hierarchical Multi-scale Representation for Multivariate Time Series Classification, The 32nd International World Wide Web Conference (ACM WWW'2023), Austin, USA, April 30-May 4 2023. [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 (ACM WWW'2023), Austin, USA, April 30-May 4 2023. [PDF]
Yang Yu, Qi Liu*, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang, Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense, The 37th AAAI Conference on Artificial Intelligence (AAAI'2023), Washington DC, USA, Feb 7-14 2023. [PDF]
Linan Yue, Qi Liu*, Yichao Du, Yanqing An, Li Wang, Enhong Chen, DARE: Disentanglement-Augmented Rationale Extraction, The 36th Advances in Neural Information Processing Systems (NeurIPS'2022), Virtual Conference, November 28-December 9. [PDF]
Zaixi Zhang, Qi Liu*, Qingyong Hu, Chee-Kong Lee, Hierachical Graph Transformer with Adaptive Node Sampling, The 36th Advances in Neural Information Processing Systems (NeurIPS'2022), Virtual Conference, November 28-December 9. [PDF]
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), Virtual Conference, August 14-18 2022. [PDF]
Lili Zhao, Linan Yue, Yanqing An, Yuren Zhang, Jun Yu, Qi Liu*, Enhong Chen, CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements, The 31st ACM International Conference on Information and Knowledge Management (CIKM'2022), Virtual Conference, October 17-21 2022. [PDF]
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), Virtual Conference, July 11-15 2022. [PDF]
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), Virtual Conference, May 22-27 2022. [PDF]
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), Virtual Conference, April 25–29 2022. [PDF]
Zheng Gong, Shiwei Tong, Han Wu, Qi Liu*, Hanqing Tao, Wei Huang, Runlong Yu, Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation, The 27th International Conference on Database Systems for Advanced Applications (DASFAA'2022), Virtual Conference, April 12-14 2022. [PDF]
Zaixi Zhang, Qi Liu*, Hao Wang, Chengqiang Lu, Cheekong Lee, ProtGNN: Towards Self-Explaining Graph Neural Networks, The 36th AAAI Conference on Artificial Intelligence (AAAI'2022), Virtual Conference, February 22-March 1 2022. [PDF]
Yan Zhuang, Qi Liu*, Zhenya Huang, Zhi Li, Shuanghong Shen and Haiping Ma, Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education, The 36th AAAI Conference on Artificial Intelligence (AAAI'2022), Virtual Conference, February 22-March 1 2022. [PDF]
Zaixi Zhang, Qi Liu*, Hao Wang, Chengqiang Lu, Cheekong Lee, Motif-based Graph Self-Supervised Learning for Molecular Property Prediction, The 35th Conference on Neural Information Processing Systems (NeurIPS'2021), Virtual Conference, December 6-14 2021. [PDF]
Jie Huang, Qi Liu*, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang, Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective, The 21th IEEE International Conference on Data Mining (ICDM'2021), Virtual Conference, December 7-10 2021. [PDF]
Mingyue Cheng, Fajie Yuan, Qi Liu*, Xin Xin, Enhong Chen, Learning Transferrable User Representations with Sequential Behaviors via Contrastive Pre-training, The 21th IEEE International Conference on Data Mining (ICDM'2021), Virtual Conference, December 7-10 2021. [PDF]
Shiwei Tong, Qi Liu*, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang, Item Response Ranking for Cognitive Diagnosis, The 30th International Joint Conference on Artificial Intelligence (IJCAI'2021), Virtual Conference, August 21-26 2021. [PDF]
Zaixi Zhang, Qi Liu*, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu and Enhong Chen, GraphMI: Extracting Private Graph Data from Graph Neural Networks, The 30th International Joint Conference on Artificial Intelligence (IJCAI'2021), Virtual Conference, August 21-26 2021. [PDF]
Yuqiang Zhou, Qi Liu*, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma, Modeling Context-aware Features for Cognitive Diagnosis in Student Learning, The 27th International ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2021), Virtual Conference, August 14-18 2021. [PDF]
Yanqing An, Qi Liu*, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen, LawyerPAN: A Proficiency Assessment Network for Trial Lawyers, The 27th International ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2021), Virtual Conference, August 14-18 2021. [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 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2021), Virtual Conference, July 11-15 2021. [PDF]
Weibo Gao, Qi Liu*, Zhenya Huang, Yu Yin, Haoyang Bi, Mu Chun Wang, Jianhui Ma, Shijin Wang, Yu Su, RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems, The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2021), Virtual Conference, July 11-15 2021. [PDF]
Linan Yue, Qi Liu*, Binbin Jin, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu, NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction, The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2021), Virtual Conference, July 11-15 2021. [PDF]
Linan Yue, Qi Liu*, Han Wu, Yanqing An, Li Wang, Senchao Yuan, Dayong Wu, Circumstances enhanced Criminal Court View Generation, The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2021), Virtual Conference, July 11-15 2021. [PDF]
Runlong Yu, Yuyang Ye, Qi Liu*, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen, XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction, The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2021), Delhi, India, May 11-14 2021. [PDF]
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), Ljubljana, Slovenia, April 19-23 2021. [PDF]
Jinze Wu, Zhenya Huang, Qi Liu*, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma and Shijin Wang, Federated Deep Knowledge Tracing, The 14th ACM Conference on Web Search and Data Mining (WSDM'2021), Jerusalem, Israel, March 8-12 2021. [PDF]
Yin Gu, Qi Liu*, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao, NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction, The 35th AAAI Conference on Artificial Intelligence (AAAI'2021), Virtual Conference, February 2-9 2021. [PDF]
Zhi Li, Zhefeng Wang, ZhichengWei, 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, The 35th AAAI Conference on Artificial Intelligence (AAAI'2021), Virtual Conference, February 2-9 2021. [PDF]
Shiwei Tong, Qi Liu*, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, and Shijin Wang, Structure-based Knowledge Tracing: An Influence Propagation View, The 20th IEEE International Conference on Data Mining (ICDM’2020), Sorrento, Italy, November 17-20 2020. [PDF]
Xin Wang, Wei Huang, Qi Liu*, Yu Yin, Zhenya Huang, Le Wu, Jianhui Ma, Xue Wang, Fine-Grained Similarity Measurement between Educational Videos and Exercises, The 28th ACM International Conference on Multimedia (ACM MM’2020), Seattle, USA, October 12-16 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] [SLIDE] [CODE]
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][中文解读] [CODE&DATA] [SLIDE]
Yang Liu, Qi Liu*, Hongke Zhao, Zhen Pan, Chuanren Liu, Adaptive Quantitative Trading: an Imitative Deep Reinforcement Learning Approach, The 34th AAAI Conference on Artificial Intelligence (AAAI'2020), New York, USA, February 7-12 2020. [PDF]
Jun Wang, Hefu Zhang, Qi Liu*, Zhen Pan, Hanqing Tao, Crowdfunding Dynamics Tracking: A Reinforcememtn Learning Approach, The 34th AAAI Conference on Artificial Intelligence (AAAI'2020), New York, USA, February 7-12 2020. [PDF]
Zhi Li, Bo Wu, Qi Liu*, Likang Wu, Hongke Zhao, Tao Mei, Learning the Compositional Visual Coherence for Complementary Recommendations, The 29th International Joint Conference on Artificial Intelligence (IJCAI'2020), Yokohama, Japan, 2020. [PDF]
Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma and Shijin Wang, Exploiting Cognitive Structure for Adaptive Learning. The 25nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2019), 627-635, Anchorage, Alaska, USA, 2019. [PDF]
Chengqiang Lu, Qi Liu*, Chao Wang, Zhenya Huang, Peize Lin, Lixin He, Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. The 33rd AAAI Conference on Artificial Intelligence (AAAI'2019), Honolulu, USA, 2019. [PDF] [CODE]
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, 2019. [PDF]
Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu, Finding Similar Exercises in Online Education Systems. The 24nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018), London, UK, August 19-23 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 24nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018), 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 Pop Music. The 24nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018), London, UK, August 19-23 2018. (Best Student Paper Award of Research Track) [PDF]
Qi Liu, Han Wu, Yuyang Ye, Dongfang Du, Chuanren Liu, Hongke Zhao, Patent Litigation Prediction: A Hybrid Modeling Approach. The 27th International Joint Conference on Artificial Intelligence (IJCAI'2018), Stockholm, Sweden, July 13-19 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), New Orleans, Louisiana, USA, February 2-7 2018. [PDF]
Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu*, Enhong Chen, Multiple Pairwise Ranking with Implicit Feedback. The 27th ACM International Conference on Information and Knowledge Management (CIKM'2018), ACM, 1727-1730, 2018. [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) [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]
Zai Huang, Zhen Pan, Qi Liu*, Bai Long, Haiping Ma, Ming He and 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), Singapore, November 6-10, 2017.
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]
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]
Qi Liu, Xianyu Zeng, Chuanren liu, Hengshu Zhu, Enhong Chen, Hui Xiong, and Xing Xie. Mining Indecisiveness in Customer Behaviors. The 15th International Conference on Data Mining(ICDM'2015):281-290,Atlantic City, NJ, USA, November 14-17, 2015 ,accepted for regular paper (Rate 8.4%). [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]
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): 1017-1024, Buenos Aires, Argentina, July 25-31, 2015. [PDF]
Le Wu, Qi Liu*, Enhong Chen, Xing Xie, Chang Tan. Product Adoption Rate Prediction: A Multi-factor View. 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]
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, accepted for regular paper(71/727=9.7%). [PDF]
Qi Liu, Biao Xiang, Enhong Chen, Hui Xiong, Fangshuang Tang, Jeffrey Xu Yu. Influence Maximization over Large-Scale Social Networks: A Linear Approach with Bound. The 23rd ACM International Conference on Information and Knowledge Management (CIKM'2014): 171-180, Shanghai, China, November 3-7, 2014, accepted for full paper(95/457=21%). [PDF]
Qi Liu, Biao Xiang, Lei Zhang, Enhong Chen, Chang Tan, 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, accepted for regular paper(94/809=11.6%). [PDF]
Qi Liu, Biao Xiang, Enhong Chen, Yong Ge, Hui Xiong, Tengfei Bao, Yi Zheng. Influential Seed Items Recommendation. The ACM Conference Series on Recommender Systems (RecSys'2012): 245-248,Dublin, Ireland, Sept 9-13, 2012. [PDF]
Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, and Hui Xiong. Personalized Travel Package Recommendation. The 11th IEEE International Conference on Data Mining (ICDM'2011):407-416. (Best Research Paper Award) [PDF]
Qi Liu, Enhong Chen, Biao Xiang, Chris H.Q Ding, and Liang He. Gaussian Process for Recommender Systems. The 2011 International Conference on Knowledge Science, Engineering and Management (KSEM'2011): 56-67, Irvine, California, USA, December 12-14, 2011. [PDF]
Qi Liu, Enhong Chen, Hui Xiong and Chris H.Q. 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]
Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen. A Unified Adaptive Testing System Enabled by Hierarchical Structure Search. The Forty-first International Conference on Machine Learning (ICML'2024), Vienna, Austria, July 21-27. Accepted.
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'2023), Birmingham, United Kingdom, October 21–25 2023. Accepted. (Best Paper Runners Up)
Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng, Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification, The 32nd International Joint Conference on Artificial Intelligence (IJCAI'2023), Macao, S.A.R, China, August 19-25 2023. Accepted.
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), Long Beach, CA, August 6-10 2023. Accepted.
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), Long Beach, CA, August 6-10 2023. Accepted.
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), Long Beach, CA, August 6-10 2023. Accepted.
Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen, A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement, The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023), Taipei, Taiwan, July 23–27 2023. Accepted.
Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen, Enhancing Hierarchical Text Classification through Knowledge Graph Integration, The 61st Annual Meeting of the Association for Computational Linguistics (ACL'2023), Toronto, Canada, July 9-14 2023. Accepted.
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), Virtual Conference, August 14-18 2022. [PDF]
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), Virtual Conference, July 11-15 2022. [PDF]
Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, 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), Virtual Conference, July 11-15 2022. [PDF]
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), Virtual Conference, August 21-26 2021. [PDF]
Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu, Guided Attention Network for Concept Extraction, The 30th International Joint Conference on Artificial Intelligence (IJCAI'2021), Virtual Conference, August 21-26 2021. [PDF]
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. [PDF]
Shuanghong Shen, Qi Liu, Enhong Chen, 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), Virtual Conference, August 14-18 2021. [PDF]
Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong and Zi Yan, Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure, The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2021), Virtual Conference, July 11-15 2021. [PDF]
Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen, Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction, The 14th ACM Conference on Web Search and Data Mining (WSDM'2021), Jerusalem, Israel, March 8-12 2021. [PDF]
Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen, Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty, The 35th AAAI Conference on Artificial Intelligence (AAAI'2021), Virtual Conference, 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'2021), Virtual Conference, February 2-9 2021. [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]
Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui, Technical Phrase Extraction for Patent Mining: A Multi-level Approach, The 20th IEEE International Conference on Data Mining (ICDM'2020), 1142-1147, Sorrento, Italy, November 17-20 2020. [PDF]
Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang, Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing, The 20th IEEE International Conference on Data Mining(ICDM'2020), 42-51, Sorrento, Italy, November 17-20 2020. [PDF][SLIDE]
Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, 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), 1857-1860, Xi'an, China, July 25-30, 2020. [PDF] [SLIDE]
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), 1729-1732, Xi'an, China, July 25-30, 2020. [PDF] [SLIDE]
Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang and Yu Su. QuesNet: A Unified Representation for Heterogeneous Test Questions. The 25nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2019), Anchorage, Alaska, USA, August 4-8, 2019. [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. The 25nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2019), Anchorage, Alaska, USA, August 4-8, 2019. [PDF]
Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie and Guoping Hu. Transcribing Content from Structural Images with Spotlight Mechanism. The 24nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018), London, UK, August 19-23, 2018. [PDF] [DATA]
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), New Orleans, Louisiana, USA, February 2–7, 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, Proceedings of 2018 IEEE 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, Proceedings of 2018 IEEE 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, Proceedings of 2018 IEEE International Conference on Data Mining (ICDM'2018), Singapore, November 17-20, 2018. [PDF]
Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu, MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment, The 23rd International Conference on Database Systems for Advanced Applications (DASFAA'2018), Gold Coast, Australia, May 21-24, 2018. [PDF]
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, 2018.(Best Paper Award)[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]
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, Enhong Chen, Le Wu, Runze Wu, Yu Su and Guoping Hu. Tracking Knowledge Proficiency of Students with Educational Priors, The 26th ACM International Conference on Information and Knowledge Management (CIKM'2017), Singapore, November 6-10, 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]
Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, 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]
Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, 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]
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]
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]
Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong. Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation, The 16th IEEE International Conference on Data Mining (ICDM'2016): 1023-1028,2016
Yuping Liu, Qi Liu, Runze Wu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu. Collaborative Learning Team Formation: A Cognitive Modeling Perspective. The 21st International Conference on Database Systems for Advanced Applications (DASFAA'2016): 383-400, Dallas, Texas, USA, April 16-19, 2016.[PDF]
Yan Zhu, Hengshu Zhu, Qi Liu, Enhong Chen, Hong Li, Hongke Zhao. Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective. The 21st International Conference on Database Systems for Advanced Applications (DASFAA'2016): 258-273, Dallas, Texas, USA, April 16-19, 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]
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]
Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge and 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]
Li Zhang, Keli Xiao, Qi Liu, Yefan Tao, and Yuefan Deng. Modeling Social Attention for Stock Analysis: An Influence Propagation Perspective. The 15th IEEE International Conference on Data Mining(ICDM'2015): 609-618, 2015, accepted for regular paper (Rate 8.4%).[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, accepted for regular paper (Rate 8.4%).[PDF]
Guowei Ma, Qi Liu*, Le Wu, Enhong Chen. Identifying Hesitant and Interested Customers for Targeted Social Marketing. The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2015): 576-590, Ho Chi Minh City, Vietnam, May 19-22, 2015.[PDF]
Yi Zheng, Qi Liu, Enhong Chen, Leon Zhao, Liang He, Guangyi Lv. Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification. The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2015): 534-546, Ho Chi Minh City, Vietnam, May 19-22, 2015.[PDF]
Guowei Ma, Qi Liu*, Enhong Chen, Biao Xiang. Individual Influence Maximization via Link Recommendation. The 16th International Conference on Web-Age Information Management (WAIM'2015): 42-56, Qingdao, Shandong, China, June 8-10, 2015. [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, accepted for regular paper(71/727=9.7%).[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, accepted for short paper((71+71)/727=19%).[PDF]
Zhefeng Wang, Hao Wang, Qi Liu and 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]
Yi Zheng, Qi Liu, Enhong Chen, Yong Ge and Leon Zhao. Time Series Classification using Multi-Channels Deep Convolutional Neural Networks. The 15th International Conference on Web-Age Information Management (WAIM'2014):298-310, Macau, China, June 16-18, 2014.[PDF]
Xiang Wu, Qi Liu, Enhong Chen, Liang He, Jingsong Lv, Can Cao and Guoping Hu. Personalized Next-song Recommendation in Online Karaokes. The ACM Conference Series on Recommender Systems (RecSys'2013): 137-140, Hong Kong, China, October 12-16, 2013.[PDF]
Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang. 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]
Xue Bai, Yun Xiong, Yangyong Zhu, Qi Liu and Zhiyuan Chen. Co-anomaly Event Detection in Multiple Temperature Series. The 6th International Conference on Knowledge Science, Engineering and Management (KSEM'2013), pages: 1-14,2013.(Best Paper Award)[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, Shafqat Ali Shad. 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): 548-564, Bristol, UK, September 24-28, 2012. [PDF]
Yong Ge,Qi Liu, Hui Xiong, Alexander Tuzhilin and Jian Chen. Cost-aware Travel Tour Recommendation, The 17rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2011), pages: 983--991, 2011.[PDF]
Books && Chapters:
推荐系统(技术评估及高效算法原书第2版), Recommender Systems Handbook(弗朗西斯科·里奇等著), 李艳民,吴宾,潘微科,刘 淇,蒋凡等译, 机械工业出版社, 2018.7(ISBN：9787111600756).
Qi Liu, Zhefeng Wang, Enhong Chen, Influence Maximization Model, Encyclopedia of Social Network Analysis and Mining, 2017.
Qi Liu, Mobile Travel Tour Recommendation, Encyclopedia of GIS, 2016.5.
Professional Activities
Member of the Youth Innovation Promotion Association, CAS(中科院青年创新促进会会员).
CCF YOCSEF AC Member (Hefei) since 2015, CCF大数据专家委员会委员, CAAI机器学习专业委员会委员.
Member of the MSRA StarTrack Visiting Young Faculty (微软亚洲研究院“铸星计划”), Microsoft Research Asia, Beijing 2014.
Associate Editor of IEEE Transactions on Big Data since 2022.04.
Associate Editor of NeuroComputing since 2021.05.
Young Associate Editor of Frontiers of Computer Science (FCS) since 2016.
Assistant Researcher, School of Computer Science and Technology, USTC. Jul.2012~Jun. 2013.
Visiting Student. Rutgers Business School, Rutgers University. Sep.2010~Dec. 2011.
Teaching Assistant, Data Mining (Prof. Hui Xiong). Rutgers Business School, Rutgers University, Feb. 2011~May. 2011.
One of the Contestant/Team Member, "The First National Data Mining Invitation Tournament for College Students (Postgraduate), China." Mar.2011~May.2011.
Development Engineer, Personalized Recommendation Team. Alibaba (China) Technology Co., Ltd. Mar.2010~Aug.2010.
Vice-monitor of the class of Ph.D.s in School of Computer Science and Technology, USTC, 2009~Present.
Defence Secretaries for both M.S.s and Ph.Ds in School of Computer Science and Technology, USTC, 2009.
Volunteers for both School of Computer Science and Technology and Youth League, USTC,2009.
Teaching Assistant, Data Structure (Prof. Ming Zhu). School of Information Science and Technology, USTC, Sep. 2008~Jan. 2009.
Teaching Assistant, Digital Logic (Prof. Tingliang Fu). School of Computer Science and Technology, USTC, Feb. 2009~Jul. 2009.
Minister of Social practice guidance center. QFNU, Sep. 2005~Jun.2006.
