一作/通讯论文： TOIS(x2)、TKDE(x1)、ICML(x1)、NeurlPS(x1)、KDD(x4)、WWW(x4)、SIGIR(x3)、ACL(x1)

Group Code Repos: https://github.com/USTC-StarTeam

1. Mingjia Yin, Junwei Pan, Hao Wang*, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen. From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models. Forty-second International Conference on Machine Learning (ICML2025). 【CCF-A类】

2. Wenjia Xie, Hao Wang*, Minghao Fang, ruize yu, Wei Guo, Yong Liu, Defu Lian, Enhong Chen. Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation. The 31th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD2025). 【CCF-A类】

3. 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 (KDD2025).【CCF-A类】

4. Weibo Gao, Qi Liu*, Rui Li, Yuze Zhao, Hao Wang, Linan Yre, Fangzhou Yao, Zheng Zhang. Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor (KDD2025).【CCF-A类】

5. Kefan Wang, Hao Wang*, Wei Guo, Jianghao Lin, Defu Lian, and Enhong Chen. DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction (SIGIR2025). 【CCF-A类】

6. Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang*, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen. Killing two birds with one stone: Unifying retrieval and ranking with a single generative recommendation model. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2025). 【CCF-A类】

7. Hongchao Gu, Dexun Li, Kuicai Dong, Hao Zhang, Hang Lv, Hao Wang*, Defu Lian, Yong Liu, Enhong Chen, Rapid: Efficient retrieval-augmented long text generation with writing planning and information discovery. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL2025). 【CCF-A类】

8. Jiaqing Zhang, Mingjia Yin, Hao Wang*, Yawen Li, Yuyang Ye, Xingyu Lou, Junping Du, Enhong Chen*. TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation (WWW2025).【CCF-A类】

9. Yufei Ye#, Wei Guo#, Jin Yao Chin,  Hao Wang* , Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang*, Defu Lian*, Enhong Chen*. FuXi-alpha: Scaling Recommendation Model with Feature Interaction Enhanced Transformer (WWW2025).【CCF-A类】

10. Rui Zhou,  Hao Wang* , Wei Guo, Qinglin Jia, Wenjia Xie, Xiang Xu, Yong Liu, Defu Lian, Enhong Chen. MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling (WWW2025).【CCF-A类】

11. Hao Wang*, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen. Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation (WWW2025).【CCF-A类】

12. Kefan Wang,  Hao Wang* , Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong Liu, Defu Lian, Enhong Chen*. A Universal Framework for Compressing Embeddings in CTR Prediction (DASFAA2025).【CCF-B类】

13. Mingjia Yin,  Hao Wang* , Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen. Dataset Regeneration for Sequential Recommendation (KDD2024). KDD 2024 Best Student Paper Award 【CCF-A类】

14. 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 (NeurIPS2024).【CCF-A类】

15. Weibo Gao, Qi Liu*, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang. Collaborative cognitive diagnosis with disentangled representation learning for learner modeling (NeurIPS2024).【CCF-A类】

16. Yongqiang Han, Hao Wang*, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen. Efficient noise-decoupling for multi-behavior sequential recommendation (WWW2024). 【CCF-A类】

17. Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang*, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu*, Qi Liu, Hui Xiong*, Enhong Chen. A Survey on Large Language Models for Recommendation (WWWJ2024).【CCF-B类】

18. Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen*. TechPat: Technical Phrase Extraction for Patent Mining (TKDD2023).【CCF-B类】

19. Weihao Zhao, Han Wu, Weidong He, Haoyang Bi, Hao Wang, Chen Zhu, Tong Xu, Enhong Chen. Hierarchical Multi-modal Attention Network for Time-sync Comment Video Recommendation (TCSVT2023).【CCF-B类】

20. 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 (TBD2023).【Trans类】

21. Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang*, Defu Lian, Mengdi Zhang, Enhong Chen. KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification (IJCAI2023).【CCF-A类】

22. Mingjia Yin, Hao Wang*, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen. APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation (CIKM2023).【CCF-B类】

23. 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 (SIGIR2023).【CCF-A类】

24. Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen. Differentiable Optimized Product Quantization and Beyond (WWW2023).【CCF-A类】

25. Yongqiang Han, Likang Wu, Hao Wang*, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen. GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation (DASFAA2023).【CCF-B类】

26. Liyang He, Zhenya Huang*, Enhong Chen, Qi Liu, Shiwei Tong,  Hao Wang , Defu Lian, Shijin Wang. An Efficient and Robust Semantic Hashing Framework for Similar Text Search (TOIS2023).【CCF-A类】

27. Hang Zhang,  Hao Wang* , Guifeng Wang, Jiayu Liu, Qi Liu. A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation (CIKM2022). 【CCF-B类】

28. Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang , Chee-Kong Lee, Enhong Chen. Model inversion attacks against graph neural networks. TKDE 2022: Accepted.

29. Qi Liu, Jinze Wu, Zhenya Huang,  Hao Wang , Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou. Federated User Modeling from Hierarchical Information. TOIS 2022: Accepted.

30. Wei Cao, Kun Zhang, Shulan Ruan, Hanqing Tao, Sirui Zhao,  Hao Wang , Qi Liu, Enhong Chen. MCausal Narrative Comprehension: A New Perspective for Emotion Cause Extraction. TAFFC 2022: 1743-1758.

31. Sirui Zhao, Huaying Tang, Shifeng Liu, Yangsong Zhang, Hao Wang , Tong Xu, Enhong Chen, Cuntai Guan. ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition. NN 2022: 427-443.

32. Yuren Zhang, Enhong Chen*, Binbin Jin,  Hao Wang , Min Hou, Wei Huang, Runlong Yu. Clustering based behavior sampling with long sequential data for CTR prediction. SIGIR 2022: 2195-2200

33. Likang Wu, Hao Wang* , Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma. Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. SIGIR 2022: 2704-2708.

34. Zaixi Zhang, Qi Liu,  Hao Wang , Chengqiang Lu, Chee-Kong Lee. Protgnn: Towards self-explaining graph neural networks. AAAI 2022: 9127-9135.

35. Shiwei Wu, Weidong He, Tong Xu, Hao Wang, Enhong Chen. Winning the CVPR’2022 AQTC Challenge: A Two-stage Function-centric Approach. CVPR AQTC Challenge 2022

36. Zaixi Zhang, Qi Liu, Zhenya Huang,  Hao Wang , Chengqiang Lu, Chee-Kong Lee. Motif-based graph self-supervised learning for molecular property prediction. NeurIPS 2021: None.

37. Zhenya Huang, Xin Lin, Hao Wang , Qi Liu, Enhong Chen, Jianhui Ma, Yu Su, Wei Tong. Disenqnet: Disentangled representation learning for educational questions. KDD 2021: 696-704.

38. Hao Wang , Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen. Decoupled Representation Learning for Attributed Networks. TKDE 2021: Accepted.

39. 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. TOIS 2021: Vol. 1, No. 1, Article 1.

40. Gangwei Jiang,  Hao Wang , Jin Chen, Haoyu Wang, Defu Lian*, Enhong Chen. xLightFM: Extremely Memory-Efficient Factorization Machine. SIGIR 2021: Accepted.

41. Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning,  Hao Wang , Enhong Chen, Jinfeng Yi, Bowen Zhou. Hierarchical Personalized Federated Learning for User Modeling. WWW 2021: Accepted.

42. Zaixi Zhang, Qi Liu, Zhenya Huang,  Hao Wang , Chengqiang Lu, Chuanren Liu, Enhong Chen. GraphMI: Extracting Private Graph Data from Graph Neural Networks.  IJCAI 2021: 3749-3755.

43. Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu,  Hao Wang , Shijin Wang. HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. AAAI 2021: Accepted.

44. Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang , Enhong Chen, Haiping Ma, Shijin Wang. Federated Deep Knowledge Tracing. WSDM 2021: Accepted.

45. Zhongkai Hao, Chengqiang Lu, Zhenya Huang,  Hao Wang , Zheyuan Hu, Qi Liu, Enhong Chen, Chee-Kong Lee. ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. KDD 2020: 731-739.

46. Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang , Enhong Chen. Neural Mathematical Solver with Enhanced Formula Structure. SIGIR 2020: 1729-1732.

47. Yanmin Chen,  Hao Wang , Jianhui Ma, Dongfang Du, Hongke Zhao. A Hierarchical Attention Mechanism Framework for Internet Credit Evaluation. Journal of Computer Research and Development 2020: 57(8): 1755-1768.

48. 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. ICDM 2020: 1142-1147.

49. Binglei Wang, Tong Xu,  Hao Wang , Yanmin Chen, Le Zhang, Lintao Fang, Guiquan Liu, Enhong Chen. Author Contributed Representation for Scholarly Network. APWeb-WAIM 2020: 558-573.

50. Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su. MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network.  KDD 2019: 1064-1072.

51. Hao Wang, Enhong Chen*, Qi Liu, Tong Xu, Dongfang Du, Wen Su, Xiaopeng Zhang. A united approach to learning sparse attributed network embedding. ICDM 2018: Accepted.

52. Hongjie Lin, Hao Wang , Dongfang Du, Han Wu, Biao Chang, Enhong Chen*. Patent Quality Valuation with Deep Learning Models. DASFAA 2018: 474-490.

53. Dongfang Du, Hao Wang , Tong Xu, Yanan Lu, Qi Liu, Enhong Chen. Solving link-oriented tasks in signed network via an embedding approach. SMC 2017: Accepted.