CCF-A(122, 68): ICML(1,1), NeurIPS(12,7), KDD(17,11), SIGIR(13,5), WWW(20*, 12), AAAI(13, 8), IJCAI(9, 5), ICDE(2, 0), ACL(9, 4), MM(2, 1), Ubicomp(1, 0), TKDE(11, 8), TOIS(7, 2), TPAMI(3, 2), ICLR(2, 2), VLDB(2, 2)

ACM/IEEE Trans.(10, 8):TIST(4, 4), TMM(1), TNNLS(1, 1), TBD(1), TKDD(1, 1), TCSS(1, 1*), TORS(1, 1)

1. Yuanhao Pu, Defu Lian*, Xiaolong Chen, Jin Chen, Ze Liu, Enhong Chen. Understanding the Effect of Loss Functions on the Generalization of Recommendations. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025), Toronto, Aug. 2025.

2. Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen. Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025), Toronto, Aug. 2025.

3. Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian*, Zhewei Wei, Jingren Zhou. PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. The 51st International Conference on Very Large Databases (VLDB 2025), London, Aug. 2025.

4. 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

5. Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou. DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. The 18th ACM International Conference on Web Search and Data Mining (WSDM 2025),  Hannover, Germany

6. Zheng Liu, Chenyuan Wu, Ninglu Shao, Shitao Xiao, Defu Lian, Chen Zhang, Chaozhuo Li, Senzhang Wang. Lighter And Better: Flexible Context Adaptation For Retrieval Augmented Generation. The 18th ACM International Conference on Web Search and Data Mining (WSDM 2025),  Hannover, Germany

7. Jin Zhang, Ze Liu, Defu Lian*, Enhong Chen. Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure. The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Dec. 2024.
   

8. Leyan Deng, Chenwang Wu, Defu Lian*, Enhong Chen. Learning from Highly Sparse Spatio-temporal Data. The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Dec. 2024.

9. Kun Yi, Wei Fan, Qi Zhang, Hui He, Jingru Fei, Shufeng Hao, Defu Lian. FilterNet: Harnessing Frequency Filters for Time Series Forecasting. The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Dec. 2024.

10. Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen. Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model. The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Dec. 2024.

11. Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Chenwang Wu, Hong Xie, Defu Lian. Invariant Representation Learning via Decoupling Style and Spurious Features. Machine Learning Journal (MLJ), accepted, 2024.

12. Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang. Evaluating Readability and Faithfulness of Concept-based Explanations. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Nov. 2024

13. Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei. Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Nov. 2024

14. Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu. Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted, 2024.

15. Ruiran Yan, Rui Fan and Defu Lian*. Multi-Task Recommendation with Task Information Decoupling. The 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), Boise, Oct. 2024

16. Qi Liu, Yongyi He, Tong Xu, Defu Lian*, Che Liu, Zhi Zheng and Enhong Chen. UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. The 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), Boise, Oct. 2024

17. Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen. Dataset Regeneration for Sequential Recommendation. The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Barcelona, Aug. 2023.

18. Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian*, Xing Xie. RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Barcelona, Aug. 2023.

19. Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian*, Enhong Chen. Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. The 41st International Conference on Machine Learning (ICML 2024), Vienna, Jul 2024.

20. Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao. Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Aug. 2024.

21. Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian. Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Aug. 2024.

22. Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian*, Zheng Liu. M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), Bangkok, Aug. 2024.

23. Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian*, Ying Wei. Understanding and Patching Compositional Reasoning in LLMs.  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), Bangkok, Aug. 2024.

24. Chenyuan Wu, Gangwei Jiang, Defu Lian. Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning.  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), Bangkok, Aug. 2024.

25. Jingwei Yi, Rui Ye, Qisi Chen, Bin Benjamin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu. On the Vulnerability of Safety Alignment in Open-Access LLMs. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), Bangkok, Aug. 2024.

26. Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen. When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. World Wide Web (WWWJ), 2024

27. Tao Tan, Hong Xie, Defu Lian. Adaptive Order Q-learning. The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Aug. 2024.

28. Shitao Xiao, Zheng Liu, Pertain Zhang, Niklas Muennighoff, Defu Lian, Jian-Yun Nie. Packed Resources For General Chinese Embeddings. The 47th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), accepted, 2024.
    

29. Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang. Average User-side Counterfactual Fairness for Collaborative Filtering.  ACM Transactions on Information Systems (TOIS), accepted, 2024.

30. Yuanhao Pu, Rui Fan, Jin Chen, Zhihao Zhu, Defu Lian*, Enhong Chen. Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation. ACM Transactions on Recommender Systems (TORS), accepted, 2024.

31. Chenwang Wu, Defu Lian*, Yong Ge, Min Zhou, Enhong Chen. Attacking Social Media via Behavior Poisoning. ACM Transactions on Knowledge Discovery from Data (TKDD), accepted, 2024.

32. Haibing Hu, Defu Lian, Kai Han, Zhizhuo Yin. Spatial and Temporal User Interest Representations for Sequential Recommendation. IEEE Transactions on Computational Social Systems (TCSS), accepted, 2024.
    

33. Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie. Aligning Language Models for Versatile Text-based Item Retrieval. The 33rd Web Conference (WWW 2024), short, Singapore, May 2024. 

34. Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen. A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024), Gifu, July 2024.

35. Jiayang Chen, Qinliang Su, Zetong Li, Hai Wan, Defu Lian. Document Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE. 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024), short, Gifu, July 2024.

36. Kaiyu Jin, Chenwang Wu, Defu Lian*. Out-of-Distribution Generalization via Style and Spuriousness Eliminating. IEEE Conference on Multimedia Expo (ICME 2024), Niagra Falls, July 2024.

37. Xu Huang, Jianxun Lian, Eric Wang, Hao Liao, Defu Lian* and Xing Xie. A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. The 33rd Web Conference (WWW 2024), Singapore, May 2024. 

38. Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian and Enhong Chen. Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. The 33rd Web Conference (WWW 2024), Singapore, May 2024. 

39. PengFei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian*, Bo Han. Beyond Linear Spherical Interpolation: Noise Correction for Image Interpolation with Diffusion Models. The 12th International Conference on Learning Representations (ICLR 2024), Vienna, May 2024.

40. Chenwang Wu, Defu Lian*, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao. Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted, 2024.

41. Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian*, Bolong Zheng, Jingren Zhou. PilotScope: Steering Databases with Machine Learning Drivers. The 50th International Conference on Very Large Databases (VLDB 2024), Guangzhou, Aug. 2024.

42. 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), Vancouver, Feb. 2024. 

43. Qi Liu, Xuyang Hou, Defu Lian*, Zhe Wang, Haoran Jin, Jia Cheng and Jun Lei. AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction. The 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Feb. 2024. 

44. Defu Lian, Zhenguo Gao, Xia Song, Yucheng Li, Qi Liu, and Enhong Chen. Training Recommenders over Large Item Corpus with Importance Sampling. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), accepted, 2023.
    

45. Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Y. Zhang, Jun Zhou, Defu Lian and Ying Wei. Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts. Findings of EMNLP (EMNLP 2023), 2023.

46. Kun Yi, Qi Zhang, Wei Fan, Hui He, Pengyang Wang, Shoujin Wang, Ning An, Defu Lian, Longbing Cao and Zhendong Niu. Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. The 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, Dec. 2023.
    

47. Zepu Lu, Jin Chen, Defu Lian*, Zaixi Zhang, Yong Ge and Enhong Chen. Knowledge Distillation for High Dimensional Search Index. The 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, Dec. 2023.
    

48. Qingyang Wang, Chenwang Wu, Defu Lian*  and Enhong Chen. Securing Recommender System via Cooperative Training. World Wide Web (WWWJ) 26, 3915–3943, 2023.
    

49. Xiaoyu Shi,Quanliang Liu,Hong Xie, Di Wu, Bo Peng, Mingsheng Shang and Defu Lian. Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.  ACM Transactions on Information Systems (TOIS), accepted, 2023.
    

50. Chaoqun Su, Chenwang Wu and Defu Lian*. GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction. The 26th European Conference on Artificial Intelligence (ECAI 2023), pp. 2218-2225, Kraków, Sep. 2023.

51. Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo and Kai Zheng. Batch-Mix Negative Sampling for Learning Recommendation Retrievers. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 494-503, Oct. 2023.

52. Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge and Defu Lian. Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 1637-1646, Birmingham, Oct. 2023.

53. Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian and Enhong Chen. APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 3009-3019, Birmingham, Oct. 2023.

54. Wuchao Li, Chao Feng, Defu Lian*, Yuxin Xie, Haifeng Liu, Yong Ge, and Enhong Chen. Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), pp. 1353-1362, Long Beach, Aug. 2023

55. Chenwang Wu, Xiting Wang, Defu Lian*, Xing Xie, and Enhong Chen. A Causality Inspired Framework for Model Interpretation. The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), pp. 2731-2741, Long Beach, Aug. 2023

56. Chenwang Wu, Defu Lian*, Yong Ge, Zhihao Zhu, and Enhong Chen. Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(10), 2023

57. Zhaoyi Li, Ying Wei and Defu Lian*. Learning to Substitute Spans towards Improving Compositional Generalization. The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), pp. 2791-2811, Toronto, July 2023.

58. Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Defu Lian, Xin Li, and Hao Wang. Learning Relation-Enhanced Hierarchical Solver for Math Word Problems. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted, 2023
    

59. Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang and Enhong Chen. KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, Aug. 2023

60. Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Yankai Wang, Haoran Jin, Rui Fan, Xingmei Wang, Zheng Liu, Le Wu and Enhong Chen. RecStudio: Towards a Highly-Modularized Recommender System. The 46th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipei, July 2023.
    

61. Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian and Zhao Cao. LibVQ: A Toolkit For Optimizing Vector Quantization And Efficient Neural Retrieval. The 46th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipei, July 2023.

62. Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, and Enhong Chen, GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation, The 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), accepted, Tianjin, 2023.

63. Fulan Qian, Bei Yuan, Hai Chen, Jie Chen, Defu Lian, and Shu Zhao. Enhancing the Transferability of Adversarial Examples based on Nesterov Momentum for Recommendation Systems. IEEE Transactions on Big Data (TBD), accepted, 2023
    

64. Xu Huang, Defu Lian*, Jin Chen, Liu Zheng, Xing Xie and Enhong Chen. Cooperative Retriever and Ranker in Deep Recommenders. The 32nd Web Conference (WWW 2023), Apr. 2023.

65. Rui Fan, Jin Chen, Yuanhao Pu, Zhihao Zhu, Defu Lian* and Enhong Chen. AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation.  The 32nd Web Conference (WWW 2023), Apr. 2023.

66. Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian* and Enhong Chen. Membership Inference Attacks Against Sequential Recommender Systems. The 32nd Web Conference (WWW 2023), Apr. 2023.

67. Zepu Lu, Defu Lian*, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang and Enhong Chen. DiffMCQ: Differentiable Multi-Codebook Quantization with Orthogonal Constraints. The 32nd Web Conference (WWW 2023), Apr. 2023.

68. Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang. Improving Recommendation Fairness via Data Augmentation. The 32nd Web Conference (WWW 2023), Apr. 2023.
    

69. Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian*, Jingren Zhou. Learned Index with Dynamic Epsilon. The 7th International Conference on Learning Representations (ICLR), May 2023.

70. 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), Jan. 2023.

71. Chao Feng, Wuchao Li, Defu Lian*, Zheng Liu and Enhong Chen. Recommender Forest for Efficient Retrieval. The 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), Dec. 2022

72. Leyan Deng, Defu Lian*, Chenwang Wu and Enhong Chen. Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy. The 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), Dec. 2022

73. Jin Chen, Defu Lian*, Yucheng Li, Baoyun Wang, Kai Zheng and Enhong Chen. Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. The 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), Dec. 2022

74. Qingyang Wang, Defu Lian*, Chenwang Wu and Enhong Chen. Towards Robust Recommender Systems via Triple Cooperative Defense. The 23rd International Conference on Web Information Systems Engineering (WISE 2022), Oct. 2022. (Best Paper Award)

75. Gangwei Jiang, Shiyao Wang, Tiezheng Ge, Yuning Jiang, Ying Wei and Defu Lian*. Self-Supervised Text Erasing with Controllable Image Synthesis. 30th ACM International Conference on Multimedia (MM 2022), Oct. 2022

76. Shiyao Wang, Qi Liu, Yicheng Zhong, Zhilong Zhou, Tiezheng Ge, Defu Lian, Yuning Jiang. CreaGAN: An Automatic Creative Generation Framework for Display Advertising. 30th ACM International Conference on Multimedia (MM 2022), Oct. 2022

77. Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z.Sheng, Mehmet A. Orgun, Longbing Cao and Defu Lian. Modeling User Demand Evolution for Next-basket Prediction. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), minor, 2022.

78. Haodi Zhang, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang, Defu Lian and Kaishun Wu. Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd. The 39th IEEE International Conference on Data Engineering (ICDE 2023), Apr. 2023.

79. Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian and Shijin Wang. An Efficient and Robust Semantic Hashing Framework for Similar Text Search. ACM Transactions on Information Systems (TOIS), accepted, 2022.

80. 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), accepted, 2022.

81. Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian* and Enhong Chen. Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. 20th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), Sep. 2022

82. Lijiao Qin and Defu Lian*. An Adversarial Cycle-Consistent Autoencoder for Category-Aware Out-of-Town Recommendation. 15th International Conference on Knowledge Science, Engineering and Management (KSEM 2022), Aug 2022

83. Jiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian and Shuming Shi. Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics. Findings of the Association for Computational Linguistics (ACL 2022), May 2022

84. Peilun Yang, Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin and Wenjie Zhang. TMN: Trajectory Matching Networks for Learning Similarity Computation. The 38th IEEE International Conference on Data Engineering (ICDE 2022), Kuala Lumpur, May 2022.

85. Chao Feng, Defu Lian*, Zheng Liu, Xing Xie, Le Wu and Enhong Chen. Forest-based Deep Recommender. The 45th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, July 2022.

86. Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao and Xing Xie. Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. The 45th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, July 2022.

87. Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan and Yihua Huang. NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction. The 45th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, July 2022.

88. Rui Fan, Jin Chen, Jin Zhang, Defu Lian* and Enhong Chen. Improving Implicit Alternating Least Squares with Ring-based Regularization. The 45th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, July 2022.

89. Bisheng Li, Min Zhou, Zengfeng Huang, Shengzhong Zhang, Menglin Yang and Defu Lian. BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. The 45th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Short Paper, Madrid, July 2022.

90. Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, and Enhong Chen. Network Representation Lightening from Hashing to Quantization. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), accepted, 2022. [code]

91. Leyan Deng, Chenwang Wu, Defu Lian*, Yongji Wu, and Enhong Chen. Markov-Driven Graph Convolutional Networks for Social Spammer Detection. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), accepted, 2022.

92. 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.

93. Jin Chen, Defu Lian*, Binbin Jin, Xu Huang, Kai Zheng and Enhong Chen. Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. The 31st Web Conference (WWW 2022), Online, Apr. 2022.

94. Jin Chen, Defu Lian*, Binbin Jin, Kai Zheng and Enhong Chen. Learning Recommenders for Implicit Feedback with Importance Resampling. The 31st Web Conference (WWW 2022), Online, Apr. 2022.

95. Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian and Irwin King. HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. The 31st Web Conference (WWW 2022), Online, Apr. 2022.

96. Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang and Xing Xie. Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. The 31st Web Conference (WWW 2022), Online, Apr. 2022.

97. Haodi Zhang, Zhenhao Chen, Junyang Chen, Yi Zhou, Defu Lian, Kaishun Wu and Fangzhen Lin. Dynamic Decision Making Framework Based on Explicit Knowledge Reasoning and Deep Reinforcement Learning. Journal of Software (软件学报), accepted, 2022.

98. Zhe Tang, Yi Yang, Wen Li, Defu Lian and Lixin Duan. Deep Cross-Attention Network for Crowdfunding Success Prediction. IEEE Transactions on Multimedia (IEEE TMM), accepted, 2022.

99. Leyan Deng, Defu Lian*, Zhenya Huang and Enhong Chen. Graph Convolutional Adversarial Networks for Spatio-Temporal Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), accepted, 2021.

100. 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), Jan. 2022.

101. Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng and Jingren Zhou. A Unified Transferable Model for ML-Enhanced DBMS. The Conference on Innovative Data Systems Research (CIDR 2022), Jan. 2022.

102. Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian and Chelsea Finn. Meta-learning with an Adaptive Task Scheduler. The 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, Dec. 2021.

103. Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun and Xing Xie. GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph. The 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, Dec. 2021.

104. Hao Wang, Defu Lian*, Hanghang Tong, Qi Liu, Zhenya Huang and Enhong Chen. Decoupled Representation Learning for Attributed Networks.  IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), accepted, 2021.

105. Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian and Xing Xie. Matching-oriented Embedding Quantization For Ad-hoc Retrieval. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), accepted, 2021.

106. Haoyu Wang, Yaqing Wang, Defu Lian and Jing Gao. A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), accepted, 2021.

107. Defu Lian, Jin Chen, Kai Zheng, Enhong Chen and Xiaofang Zhou. Ranking-based Implicit Regularization for One-Class Collaborative Filtering. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), accepted, 2021.

108. Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang and Enhong Chen. HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. ACM Transactions on Information Systems (ACM TOIS), 2021

109. 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 (ACM TIST), 2021

110. Defu Lian, Xing Xie, Enhong Chen and Hui Xiong. Product Quantized Collaborative Filtering. IEEE Transaction on Knowledge and Data Engineering (IEEE TKDE), 33(9), 3284-3296, 2021, [PDF].

111. Hanchen Wang, Defu Lian, Wanqi Liu, Dong Wen, Chen Chen and Xiaoyang Wang. Powerful graph of graphs neural network for structured entity analysis. World Wide Web (WWWJ), 2021

112. Chenwang Wu, Defu Lian*, Yong Ge, Zhihao Zhu and Enhong Chen. Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), pp. 1830-1840, Aug. 2021. [code]

113. Qi Liu, Jin Zhang, Defu Lian*, Yong Ge, Jianhui Ma and Enhong Chen. Online Additive Quantization. The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), pp. 1098-1108, Aug. 2021.

114. Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet Orgun and Defu Lian. A Survey on Session-based Recommender Systems. ACM Computing Surveys (ACM CSUR), 54(7), 1-38, 2021

115. 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 44th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), pp. 1074-1083, online, Jul. 2021. [code]

116. Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian* and Enhong Chen. xLightFM: Extremely Memory-Efficient Factorization Machine. The 44th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), pp. 337-346, online, Jul. 2021

117. 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 ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), pp. 575-584, online, Jul. 2021

118. Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian and Lemao Liu. Assessing Dialogue Systems with Distribution Distances. Findings of the Association for Computational Linguistics (ACL-IJCNLP 2021), pp. 2192-2198, Aug. 2021

119. Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu and Enhong Chen. Preference-Adaptive Meta-Learning for Cold-Start Recommendation. The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), pp. 1607-1614, Aug. 2021

120. Hanchen Wang, Defu Lian*, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin and Xuemin Lin. Binarized Graph Neural Network. World Wide Web (WWWJ), 33(5), 2021. [PDF].

121. Defu Lian, Xing Xie and Enhong Chen. Discrete Matrix Factorization and Extension for Fast Item Recommendation. IEEE Transaction on Knowledge and Data Engineering (IEEE TKDE), 33(5), pp. 1919-1933, 2021. [PDF].

122. Yongji Wu, Defu Lian*, Neil Gong, Lu Yin, Mingyang Yin, Jingren Zhou and Hongxia Yang. Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. The 30th Web Conference (WWW 2021), pp. 1262-1273, virtual, Apr. 2021.(Best Paper Candidate). [code]

123. Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian and Zhiqiang Zhang. A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. The 30th Web Conference (WWW 2021), pp. 2324-2334, virtual, Apr. 2021

124. Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian* and Kai Zheng. Automated Creative Optimization for E-Commerce Advertising. The 30th Web Conference (WWW 2021), pp. 2304-2313, virtual, Apr. 2021

125. Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian* and  Kai Zheng. Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), virtual, Feb. 2021

126. 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, Mar. 2021

127. Binbin Jin, Defu Lian*, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie and Enhong Chen. Sampling-Decomposable Generative Adversarial Recommender. The 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 33, virtual, Dec. 2020, [PDF]

128. Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian and Jingjing Li. Deep Pairwise Hashing for Cold-start Recommendation. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), accepted, 2020.

129. Chong Liu, Defu Lian*, Min Nie and Hu Xia. Online Optimized Product Quantization. The 20th IEEE International Conference on Data Mining (ICDM 2020), Sorrento, Italy, Nov. 2020.

130. Kai Zheng, Yan Zhao, Defu Lian, Bolong Zheng, Guanfeng Liu and Xiaofang Zhou. Reference-based Framework for Spatio-temporal Trajectory Compression and Query Processing. IEEE Transaction on Knowledge and Data Engineering (IEEE TKDE), 32(11), pp. 2227-2240, 2020

131. Jingang Jiang, Shuo Tao, Defu Lian*, Zhenya Huang and Enhong Chen. Predicting Human Mobility with Self-Attention and Feature Interaction. The 4th APWeb-WAIM International Joint Conference on Web and Big Data (APWeb-WAIM 2020), pp. 117-131, Tianjin, China, Aug. 2020.

132. Jin Chen, Defu Lian* and Kai Zheng. Collaborative Filtering with Ranking-based Priors on Unknown Ratings. IEEE Intelligent System, 35(5), pp. 38-49, 2020.

133. Defu Lian, Yongji Wu, Yong Ge, Xing Xie and Enhong Chen. Geography-Aware Sequential Location Recommendation. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020), pp. 2009–2019, San Diego, CA, USA, Aug. 2020. [code]

134. Zheng Liu, Junhan Yang, Jianxun Lian, Defu Lian and Xing Xie. Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. The 43rd ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), pp. 289–298, Xi'an, China, Jul. 2020.

135. Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong and Meng Wang. Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. The 43rd ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), pp. 1211–1220, Xi'an, China, Jul. 2020.

136. Hanchen Wang, Defu Lian*, Ying Zhang, Lu Qin and Xuemin Lin. GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. The 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), pp. 1317-1323, Yokohama, Japan, Jul. 2020.

137. Defu Lian, Qi Liu and Enhong Chen. Personalized Ranking with Importance Sampling. The 29th Web Conference (WWW 2020), pp. 1093–1103, Taipei, China, Apr. 2020, [PDF], [code].

138. 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, Apr. 2020, [PDF].

139. Yongji Wu, Defu Lian*, Yiheng Xu, Le Wu and Enhong Chen. Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, Feb. 2020, [PDF].

140. Zhen Pan, Zhenya Huang, Defu Lian and Enhong Chen. A Variational Point Process Approach for Social Event Sequences. The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, Feb. 2020

141. 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].

142. Haoyu Wang, Defu Lian* and Yong Ge. Binarized Collaborative Filtering with Distilling Graph Convolutional Network. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pp. 4802-4808, Macao, China, Aug. 2019

143. Yongji Wu, Defu Lian*, Shuowei Jin and Enhong Chen. Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pp. 3898-3904, Macao, China, Aug. 2019

144. 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 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, USA, Aug. 2019.

145. Huaxiu Yao, Defu Lian*, Yi Cao, Yifan Wu and Tao Zhou. Predicting Academic Performance for College Students: A Campus Behavior Perspective. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 10(3), 2019

146. Haoyu Wang, Nan Shao and Defu Lian*. Adversarial Binary Collaborative Filtering For Implicit Feedback. The 33nd AAAI Conference on Artificial Intelligence (AAAI 2019), pp. 5248-5255, Honolulu, Hawaii, Jan. 2019

147. Jin Chen, Defu Lian* and 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, Jan. 2019

148. Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang and Kai Zheng. Preference-aware Task Assignment in Spatial Crowdsourcing. The 33nd AAAI Conference on Artificial Intelligence (AAAI 2019), pp. 2629-2636, Honolulu, Hawaii, Jan. 2019

149. 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

150. 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. Nov. 2018.

151. 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), Jul. 2018

152. 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. Oct. 2018

153. 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, UK. Aug. 2018

154. 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, UK, Aug. 2018

155. 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, UK, Aug. 2018

156. 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.

157. Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen and Xing Xie. GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Transactions on Information Systems (TOIS), 36(3), Apr. 2018.

158. 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 (IEEE TKDE), 30(6), Jun. 2018.

159. Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian and 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, Feb. 2018

160. 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, Feb. 2018

161. 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, Feb. 2018

162. Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie and 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, Aug. 2017

163. Huayu Li, Yong Ge, Defu Lian* and Hao Liu. Learning User Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach. The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), pp. 2117-2123, Melbourne, Australia, Aug. 2017

164. Min Nie, Lei Yang, Jun Sun, Han Su, Hu Xia, Defu Lian and Kai Yan. Advanced Forecasting Career Choice for College Students Based on Campus Big Data. Frontiers of Computer Science, 2018, 12 (3): 494-503.

165. Han Su, Wei Chen, Rong Liu, Min Nie, Bolong Zheng, Zehao Huang and Defu Lian. GPS-Simulated Trajectory Detection. The 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017), pp. 581-593, Suchow, China, Mar. 2017

166. Huaxiu Yao, Min Nie, Han Su, Hu Xia and 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, Mar. 2017

167. 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

168. Yan Zhang, Defu Lian* and 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, Feb. 2017

169. Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan and 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, Nov. 2016

170. Defu Lian, Qi Liu, Wenya Zhu, Xing Xie and 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, Nov. 2016

171. Min Nie, Lei Yang, Bin Ding, Hu Xia, Huachun Xu and 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, Sep. 2016. (Best student paper runner up)

172. Yan Zhang, Guowu Yang, Defu Lian, Hong Wen and Jinsong Wu. Constraint Free Preference Preserving Hashing for Fast Recommendation. 2016 IEEE global communications conference (GLOBECOM 2016), pp. 1-6, Washington DC, USA, Dec. 2016.

173. Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie and 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, Aug. 2016.

174. 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, Jul. 2016

175. Defu Lian, Yong Ge, Nicholas Yuan, Xing Xie and 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, Jul. 2016.

176. Jie Bao, Defu Lian, Fuzheng Zhang and Nicholas Jing Yuan. Geo-social media data analytic for user modeling and location-based services. SIGSPATIAL Special, 3(7), 2016

177. Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie and Yong Rui. Exploiting Dining Preference for Restaurant Recommendation. 25th International World Wide Web Conference (WWW 2016), pp. 725-735, Montreal, Canada, Apr. 2016.

178. 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, Nov. 2015

179. 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, Nov. 2015

180. 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, Sep. 2015

181. 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), Jun. 2015

182. 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, Aug. 2015.

183. 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 (ACM TIST), 6(1), April, 2015

184. Defu Lian and Nicholas Jing Yuan. Mobile Check-In Recommendation. Encyclopedia of GIS (2015): 1-10.

185. 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, Aug. 2014

186. Defu Lian and Xing Xie. Mining check-in history for personalized location naming. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 5(2), Apr. 2014

187. 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, Apr. 2014.

188. 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.

189. 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, Oct. 2013.

190. 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.

191. 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, Dec. 2012

192. 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, Nov. 2011