Full List
  1. 连德富, 谢幸, 陈恩红. 推荐系统中物品召回技术的研究进展. 南京信息工程大学学报, 2019年第3期. [pdf]
  2. Haoyu Wang, Defu Lian*, Yong Ge. Binarized Collaborative Filtering with Distilling Graph Convolutional Network. The 27th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August, 2019
  3. Yongji Wu, Defu Lian*, Shuowei Jin, Enhong Chen. Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. The 27th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August, 2019
  4. 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, 2019.
  5. Kai Zheng, Yan Zhao, Defu Lian, Bolong Zheng, Guanfeng Liu, Xiaofang Zhou. Reference-based Framework for Spatio-temporal Trajectory Compression and Query Processing. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2019
  6. Huaxiu Yao, Defu Lian*, Yi Cao, Yifan Wu, Tao Zhou. Predicting Academic Performance for College Students: A Campus Behavior Perspective. ACM Transactions on Intelligent Systems and Technology (TIST), 10(3), 2019
  7. Haoyu Wang, Nan Shao, Defu Lian*. Adversarial Binary Collaborative Filtering For Implicit Feedback. The 33nd AAAI Conference on Artificial Intelligence (AAAI 2019), pp. 5248-5255, Honolulu, Hawaii, January 2019
  8. Jin Chen, Defu Lian*, Kai Zheng. Improving One-Class Collaborative Filtering via Ranking-based Implicit Regularizer. The 33nd AAAI Conference on Artificial Intelligence (AAAI 2019), pp. 37-44, Honolulu, Hawaii, January 2019
  9. Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng. Preference-aware Task Assignment in Spatial Crowdsourcing. The 33nd AAAI Conference on Artificial Intelligence (AAAI 2019), pp. 2629-2636, Honolulu, Hawaii, January 2019
  10. Yi Cao, Jian Gao, Defu Lian, Zhihai Rong, Jiatu Shi, Qing Wang, Yifan Wu, Huaxiu Yao and Tao Zhou. Orderness Predicts Academic Performance: Behavioral Analysis on Campus Lifestyle. Journal of the Royal Society Interface, 15(146), 2018
  11. Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, and Chengqi Zhang. Binarized Attributed Network Embedding. The 18th IEEE International Conference on Data Mining (ICDM 2018), pp. 1476-1481, Singapore. November, 2018.
  12. Defu Lian and Qi Liu. Jointly Recommending Library Books and Predicting Academic Performance: A Mutual Reinforcement Perspective. Journal of Computer Science and Technology, 33(4), July, 2018
  13. Steven Mudda, Defu Lian, Silvia Giordano, Danyang Liu and Xing Xie. Spatial-Aware Deep Recommender System. The 15th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2018), pp. 983-990, Guangzhou, China. October, 2018
  14. Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang and Xing Xie. High-order Proximity Preserving Information Network Hashing. The 24rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), pp. 1744-1753, London, United Kingdom. August, 2018
  15. Yan Zhang, Haoyu Wang, Defu Lian*, Ivor W. Tsang, Hongzhi Yin and Guowu Yang. Discrete Ranking-based Matrix Factorization with Self-Paced Learning. The 24rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), pp. 2758-2767, London, United Kingdom, August, 2018
  16. Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang and Zi Huang. Neural Memory Streaming Recommender Networks with Adversarial Training. The 24rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), pp. 2467-2475, London, United Kingdom, August, 2018
  17. Tianyu Zhu, Qi Liu, Zhenya Huang, Defu Lian, Enhong Chen, Yu Su and 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), pp. 318-335, Gold Coast, Australia, May, 2018.
  18. 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 Systems (TOIS), 36(3), April, 2018.
  19. Defu Lian, Yong Ge, Fuzheng Zheng, Nicholas Jing Yuan, Xing Xie, Tao Zhou and Yong Rui. Scalable Content-Aware Collaborative Filtering for Location Recommendation, IEEE Transaction on Knowledge and Data Engineering (TKDE), 30(6), June, 2018.
  20. Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu. Attention-based Transactional Context Embedding for Next-Item Recommendation. The 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), pp. 2532-2539, New Orleans, USA, February, 2018
  21. Guansong Pang, Longbing Cao, Ling Chen, Defu Lian and Huan Liu. Sparse Modeling-based Sequential Ensemble Learning for Effective Outlier Detection in High-dimensional Numeric Data. The 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), pp.3892-3899, New Orleans, USA, February, 2018
  22. Yan Zhang, Hongzhi Yin, Zi Huang, Xingzhong Du, Guowu Yang and Defu Lian*. Discrete Deep Learning for Fast Content-Aware Recommendation. The 11th ACM International Conference on Web Search and Data Mining (WSDM 2018), pp. 717-726, Los Angeles, USA, February, 2018
  23. Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao. Discrete Content-aware Matrix Factorization. The 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), pp. 325-334, Halifax, Canada, August, 2017
  24. Huayu Li, Yong Ge, Defu Lian*, Hao Liu. Learning User Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach. The 25th International Joint Conference on Artificial Intelligence (IJCAI 2017), pp. 2117-2123, Melbourne, Australia, August, 2017
  25. Min Nie, Lei Yang, Jun Sun, Han Su, Hu Xia, Defu Lian, Kai Yan. Advanced Forecasting Career Choice for College Students Based on Campus Big Data. Frontiers of Computer Science, 2018, 12 (3): 494-503.
  26. Han Su, Wei Chen, Rong Liu, Min Nie, Bolong Zheng, Zehao Huang, Defu Lian. GPS-Simulated Trajectory Detection. The 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017), pp. 581-593, Suchow, China, March, 2017
  27. Huaxiu Yao, Min Nie, Han Su, Hu Xia, Defu Lian*. Predicting Academic Performance via Semi-Supervised Learning with Constructed Campus Social Network. The 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017), pp. 597-609, Suchow, China, March, 2017
  28. Zimo Yang, Defu Lian, Nicholas Jing Yuan, Xing Xie, Yong Rui and Tao Zhou. Indigenization of urban mobility. Physica A: Statistical Mechanics and its Applications, 469: 232-243, 2017
  29. Yan Zhang, Defu Lian*, Guowu Yang. Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback. The 31st AAAI Conference on Artificial Intelligence (AAAI 2017), pp. 1669-1675, San Francisco, USA, February, 2017
  30. Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation, 16th IEEE International Conference on Data Mining (ICDM 2016), pp. 1029-1034, Barcelona, Spain, November, 2016
  31. Defu Lian, Qi Liu, Wenya Zhu, Xing Xie, Hui Xiong, Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation, 16th IEEE International Conference on Data Mining (ICDM 2016), pp. 1023-1028, Barcelona, Spain, November, 2016
  32. Min Nie, Lei Yang, Bin Ding, Hu Xia, Huachun Xu, Defu Lian. Forecasting Career Choice for College Students Based on Campus Big Data. The 18th Asia Pacific Web Conference (APWeb 2016), pp. 359-370, Suchow, China, September, 2016. (Best student paper runner up)
  33. Yan Zhang, Guowu Yang, Defu Lian, Hong Wen, Jinsong Wu, Constraint Free Preference Preserving Hashing for Fast Recommendation. 2016 IEEE global communications conference (GLOBECOM 2016), pp. 1-6, Washington DC, USA, December, 2016.
  34. Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma, Collaborative Knowledge Base Embedding for Recommender Systems, The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), pp. 353-362, San Francisco, USA, August, 2016.
  35. Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang and Yong Ge, A Relaxed Ranking-based Factor Model for Recommender System from Implicit Feedback, The 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), pp. 1683-1689, New York, USA, July, 2016
  36. Defu Lian, Yong Ge, Nicholas Yuan, Xing Xie, Hui Xiong, Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback, 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), pp. 1732-1738, New York, USA, July, 2016.
  37. Jie Bao, Defu Lian, Fuzheng Zhang, Nicholas Jing Yuan, Geo-social media data analytic for user modeling and location-based services, SIGSPATIAL Special, 3(7), 2016
  38. Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui, Exploiting Dining Preference for Restaurant Recommendation, 25th International World Wide Web Conference (WWW 2016), pp. 725-735, Montreal, Canada, April, 2016.
  39. Hongyin Lv, Defu Lian, Min Nie, Hu Xia, Tao Zhou. Big Data Drives a New Epoch of Education:A Case Study of Academic Performance Prediction. Big Data Research 2015 (4) (in Chinese)
  40. Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou and Yong Rui. Content-Aware Collaborative Filtering for Location Recommendation based on Human Mobility Data. 15th IEEE International Conference on Data Mining (ICDM 2015), pp. 261-270, Atlantic City, USA, November, 2015
  41. Xianming Li, Defu Lian, Xing Xie, and Guangzhong Sun Lifting the Predictability of Human Mobility on Activity Trajectories. The First International Workshop on Mobile Data Mining & Human Mobility Computing (MDM & HuMoCom 2015), pp. 1063-1069, Atlantic City, USA, November, 2015
  42. Fuzheng Zhang, Nicholas Jing Yuan, Kevin Zheng, Defu Lian, Xing Xie and Yong Rui. Mining Consumer Impulsivity from Offline and Online Behavior. 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), pp. 1281-1292, Osaka, Japan, September, 2015
  43. Defu Lian, Xing Xie, Fuzheng Zhang, Nicholas Jing Yuan, Tao Zhou and Yong Rui. Mining Location-Based Social Networks: A Predictive Perspective. IEEE Data Engineering Bulletin, 38(2), June, 2015
  44. Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen and Yong Rui. Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data. 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), pp. 1275-1284, Sydney, Australia, August, 2015.
  45. Defu Lian, Xing Xie, Vincent W. Zheng, Nicholas Jing Yuan, Fuzheng Zhang and Enhong Chen. CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction. ACM Transactions on Intelligent Systems and Technology (TIST), 6(1), April, 2015
  46. Defu Lian and Nicholas Jing Yuan. Mobile Check-In Recommendation. Encyclopedia of GIS (2015): 1-10.
  47. Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen and Yong Rui. GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation. 20th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD 2014), pp. 831-840, New York, USA, August, 2014
  48. Defu Lian and Xing Xie. Mining check-in history for personalized location naming. ACM Transactions on Intelligent Systems and Technology (TIST), 5(2), April, 2014
  49. Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian and Xing Xie. Mining novelty-seeking trait across heterogeneous domains. 23rd international conference on World Wide Web (WWW 2014), pp. 373-384, Seoul, Korea, April, 2014.
  50. Defu Lian, Yin Zhu, Xing Xie and Enhong Chen. Analyzing location predictability on location-based social networks. In Advances in Knowledge Discovery and Data Mining (PAKDD 2014), pp. 102-113, Taiwan, China, May, 2014.
  51. Nicholas Jing Yuan, Fuzheng Zhang, Defu Lian, Kai Zheng, Siyu Yu and Xing Xie. We know how you live: exploring the spectrum of urban lifestyles. In Proceedings of the first ACM conference on Online social networks (COSN 2013), pp. 3-14, Boston, USA, October, 2013.
  52. Defu Lian, Vincent W. Zheng and Xing Xie. Collaborative filtering meets next check-in location prediction. the 22nd international conference on World Wide Web (WWW 2013), pp. 231-232, Rio de Janeiro, Brazil, May, 2013.
  53. Jing Yuan, Guangzhong Sun, Tao Luo, Defu Lian and Guoliang Chen. Efficient processing of top-k queries: selective NRA algorithms. Journal of Intelligent Information Systems, 39(3), 687-710, December, 2012
  54. Xing Xie and Defu Lian. Mobile Social Network and User Location. CCCF 8(5) 2012. (In Chinese)
  55. Defu Lian and Xing Xie . Collaborative activity recognition via check-in history. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks. pp. 45-48, Chicago, USA, November, 2011
  56. Defu Lian and Xing Xie. Learning location naming from user check-in histories. In Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS 2011). pp. 112-121, Chicago, USA, November, 2011