| 1 | Yue Wang, Yuyang Xu, Renjun Hu, Fanqi Shen, Hanyun Jiang, Jun Wang, Jintai Chen, Danny Z. Chen, Jian Wu, Haochao Ying. Versatile and Risk-Sensitive Cardiac Diagnosis via Graph-Based ECG Signal Representation. IEEE Transactions on Big Data, 12: 600-611, 2026. | |
| 2 | Yanbin Zhang, Hanhui Ye, Yue Bai, Qiming Zhang, Liao Xiang, Wu Mianzhi, Renjun Hu*. Automating Complex Document Workflows via Stepwise and Rollback-Enabled Operation Orchestration. The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. | |
| 3 | Yifei Yuan, Jiatong Li, Weijia Zhang, Mohammad Aliannejadi, Evangelos Kanoulas, Renjun Hu*. Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification. Findings of The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), 2025. | |
| 4 | Ding-Chu Zhang, Xiaowen Zhang, Yue Fei, Renjun Hu, Xiao-Wen Yang, Zhi Zhou, Baixuan Li, Yu-Feng Li, Xing Shi, Wei Lin. AutoEvolve: Automatically Evolving Queries for Applicable and Scalable Retrieval-Augmented Generation Benchmarking. Findings of The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), 2025. | |
| 5 | Zhuoyun Du, Lujie Zheng, Renjun Hu, Yuyang Xu, Xiawei Li, Ying Sun, Wei Chen, Jian Wu, Haolei Cai, Haohao Ying. LLMs Can Simulate Standardized Patients via Agent Coevolution. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025. | |
| 6 | Renjun Hu#, Yi Cheng#, Libin Meng#, Jiaxin Xia#, Yi Zong#, Xing Shi, Wei Lin. Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons. Companion Proceedings of the ACM on Web Conference 2025 (Industrial Track, WWW), 2025. (Oral) | |
| 7 | 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 Thirty-eight Conference on Neural Information Processing Systems (Datasets and Benchmarks Track, NeurIPS), 2024. (Spotlight) | |
| 8 | Yifei Yuan, Chen Shi, Runze Wang, Liyi Chen, Renjun Hu, Zengming Zhang, Feijun Jiang, Wai Lam. CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING), 2024. | |
| 9 | Chunlai Dong, Haochao Ying, Renjun Hu, Yuyang Xu, Jintai Chen, Fuzhen Zhuang, Jian Wu. A Progressively-Passing-then-Disentangling Approach to Recipe Recommendation. IEEE Transactions on Multimedia (TMM), 27: 2760-2771, 2025. | |
| 10 | Yi Cheng#, Renjun Hu#, Haochao Ying, Xing Shi, Jian Wu, Wei Lin. Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024. (Oral) | |
| 11 | Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Z. Chen, Jian Wu. Robust Image Ordinal Regression with Controllable Image Generation. The 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023. | |
| 12 | Siyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z. Chen, Jian Wu.. Robust Training of Graph Neural Networks via Noise Governance. The 16th ACM International Conference on Web Search and Data Mining (WSDM), 2023. | |
| 13 | Jingbo Zhou, Tao Huang, Shuangli Li, Renjun Hu, Yanchi Liu, Yanjie Fu, Hui Xiong. Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(12): 5681-5692, 2022. | |
| 14 | Renjun Hu, Jingbo Zhou, Xinjiang Lu, Hengshu Zhu, Shuai Ma, Hui Xiong. NCF: A Neural Context Fusion Approach to Raw Mobility Annotation. IEEE Transactions on Mobile Computing (TMC), 21(1): 226-238, 2022. | |
| 15 | Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong. Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. The 30th Web Conference (WWW), 2021. | |
| 16 | Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong. Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling. The 35th AAAI Conference on Artificial Intelligence, 2021. | |
| 17 | Renjun Hu, Yanchi Liu, Yanyan Li, Jingbo Zhou, Shuai Ma, Hui Xiong. Exploiting User Preference and Mobile Peer Influence for Human Mobility Annotation. ACM Transactions on Knowledge Discovery from Data (TKDD), 14(6): 1-18, 2020. | |
| 18 | Renjun Hu#, Xinjiang Lu#, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, Hui Xiong. Why We Go Where We Go: Profiling User Decisions on Choosing POIs. The 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020. (Distinguished Paper Nomination) | |
| 19 | Shuai Ma, Renjun Hu, Luoshu Wang, Xuelian Lin, Jinpeng Huai. An Efficient Approach to Finding Dense Temporal Subgraphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 32(4): 645-658,, 2020. | |
| 20 | Junfeng Liu, Shuai Ma, Renjun Hu, Chunming Hu, Jinpeng Huai. Athena: A Ranking Enabled Scholarly Search System. The 13th ACM International Conference on Web Search and Data Mining (Demo Track, WSDM), 2020. | |
| 21 | Jingbo Zhou, Shan Gou, Renjun Hu, Dongxiang Zhang, Jin Xu, Xuehui Wu, Airong Jiang, Hui Xiong. A Collaborative Learning Framework to Tag Refinement for Points of Interest. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Applied Data Science Track, KDD), 2019. | |
| 22 | Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong. Joint Representation Learning for Multi-modal Transportation Recommendation. The 33rd AAAI Conference on Artificial Intelligence, 2019. | |
| 23 | Shuai Ma, Chen Gong, Renjun Hu*, Dongsheng Luo, Chunming Hu*, Jinpeng Huai. Query Independent Scholarly Article Ranking. The 34th IEEE International Conference on Data Engineering (ICDE), 2018. | |
| 24 | Shuai Ma, Renjun Hu, Luoshu Wang, Xuelian Lin, Jinpeng Huai. Fast Computation of Dense Temporal Subgraphs. The 33rd IEEE International Conference on Data Engineering (ICDE), 2017. | |
| 25 | Renjun Hu, Charu Aggarwal, Shuai Ma, Jinpeng Huai. An Embedding Approach to Anomaly Detection. The 32nd IEEE International Conference on Data Engineering (ICDE), 2016. | |
| 26 | Liang Duan, Charu Aggarwal, Shuai Ma, Renjun Hu, Jinpeng Huai. Scaling up Link Prediction with Ensembles. The 9th ACM International Conference on Web Search and Data Mining (WSDM), 2016. | |