| 2026 | AAAI | CHASE: Contextual History for Adaptive and Simple Exploitation in Large Language Model Jailbreaking. | Zhiqiang Hao, Chuanyi Li, Ye Fan, Jun Cai, Xiao Fu, Shangqi Wang, Hao Shen, Jiao Yin, Jidong Ge, Bin Luo, Vincent Ng |
| 2026 | AAAI | System L: Toward System 2-Style Legal Reasoning. | Chuanyi Li, Yi Feng, Vincent Ng |
| 2026 | ACL | Legal Judgment Prediction: A Reflection on the State of the Art. | Yi Feng, Chuanyi Li, Vincent Ng |
| 2025 | AAAI | Understanding Advertisements. | Yi Feng, Chuanyi Li, Vincent Ng |
| 2025 | APSEC | Retrieval-Augmented Code Generation of Low-Resource Programming Languages. | Jianbo Lin, Yuan Zhang, Chuanyi Li, Wentao Zou, Jidong Ge, Bin Luo |
| 2025 | EMNLP | Multimodal Neural Machine Translation: A Survey of the State of the Art. | Yi Feng, Chuanyi Li, Jiatong He, Zhenyu Hou, Vincent Ng |
| 2025 | ISSRE | Refactoring ≠ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis. | Feifei Niu, Junqian Shao, Christoph Mayr-Dorn, Liguo Huang, Wesley K. G. Assuno, Chuanyi Li, Jidong Ge, Alexander Egyed |
| 2024 | ACL | CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset. | Wanhong Huang, Yi Feng, Chuanyi Li, Honghan Wu, Jidong Ge, Vincent Ng |
| 2024 | ACL | Legal Case Retrieval: A Survey of the State of the Art. | Yi Feng, Chuanyi Li, Vincent Ng |
| 2024 | ACL | LJPCheck: Functional Tests for Legal Judgment Prediction. | Yuan Zhang, Wanhong Huang, Yi Feng, Chuanyi Li, Zhiwei Fei, Jidong Ge, Bin Luo, Vincent Ng |
| 2024 | ESORICS | Leveraging Hierarchies: HMCAT for Efficiently Mapping CTI to Attack Techniques. | Zhiqiang Hao, Chuanyi Li, Xiao Fu, Bin Luo, Xiaojiang Du |
| 2024 | ICSE | FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations. | Changan Niu, Chuanyi Li, Vincent Ng, David Lo, Bin Luo |
| 2024 | ICSE | RAT: A Refactoring-Aware Tool for Tracking Code History. | Feifei Niu, Junqian Shao, Chaofan Xu, Christoph Mayr-Dorn, Wesley K. G. Assuno, Liguo Huang, Chuanyi Li, Jidong Ge, Bin Luo, Alexander Egyed |
| 2024 | ICSE | Practical Program Repair via Preference-based Ensemble Strategy. | Wenkang Zhong, Chuanyi Li, Kui Liu, Tongtong Xu, Jidong Ge, Tegawend F. Bissyand, Bin Luo, Vincent Ng |
| 2023 | ICSE | An Empirical Comparison of Pre-Trained Models of Source Code. | Changan Niu, Chuanyi Li, Vincent Ng, Dongxiao Chen, Jidong Ge, Bin Luo |
| 2023 | ICSE | CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models. | Changan Niu, Chuanyi Li, Vincent Ng, Bin Luo |
| 2022 | ACL | Legal Judgment Prediction via Event Extraction with Constraints. | Yi Feng, Chuanyi Li, Vincent Ng |
| 2022 | IJCAI | Legal Judgment Prediction: A Survey of the State of the Art. | Yi Feng, Chuanyi Li, Vincent Ng |
| 2022 | IJCAI | Deexaggeration. | Li Kong, Chuanyi Li, Vincent Ng |
| 2022 | IJCAI | Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code. | Changan Niu, Chuanyi Li, Bin Luo, Vincent Ng |
| 2022 | ICSE | SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations. | Changan Niu, Chuanyi Li, Vincent Ng, Jidong Ge, Liguo Huang, Bin Luo |
| 2022 | ICSE | AST-Trans: Code Summarization with Efficient Tree-Structured Attention. | Ze Tang, Xiaoyu Shen, Chuanyi Li, Jidong Ge, Liguo Huang, Zheling Zhu, Bin Luo |
| 2021 | AAAI | Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse. | Yuxiang Liu, Jidong Ge, Chuanyi Li, Jie Gui |
| 2021 | EMNLP | Don't Miss the Potential Customers! Retrieving Similar Ads to Improve User Targeting. | Yi Feng, Ting Wang, Chuanyi Li, Vincent Ng, Jidong Ge, Bin Luo, Yucheng Hu, Xiaopeng Zhang |
| 2021 | GLOBECOM | Optimizing Federated Edge Learning on Non-IID Data via Neural Architecture Search. | Feifei Zhang, Jidong Ge, Chifong Wong, Sheng Zhang, Chuanyi Li, Bin Luo |
| 2020 | EMNLP | Identifying Exaggerated Language. | Li Kong, Chuanyi Li, Jidong Ge, Bin Luo, Vincent Ng |
| 2019 | ACML | Improving Statute Prediction via Mining Correlations between Statutes. | Yi Feng, Chuanyi Li, Jidong Ge, Bin Luo |
| 2018 | PRICAI | Statutes Recommendation Using Classification and Co-occurrence Between Statutes. | Yi Feng, Jidong Ge, Chuanyi Li, Li Kong, Feifei Zhang, Bin Luo |
| 2018 | PRICAI | Construction of Microblog-Specific Chinese Sentiment Lexicon Based on Representation Learning. | Li Kong, Chuanyi Li, Jidong Ge, Yufan Yang, Feifei Zhang, Bin Luo |
| 2018 | PRICAI | A Novel Convolutional Neural Network for Statutes Recommendation. | Chuanyi Li, Jingjing Ye, Jidong Ge, Li Kong, Haiyang Hu, Bin Luo |
| 2018 | PRICAI | Automatically Classifying Chinese Judgment Documents Using Character-Level Convolutional Neural Networks. | Xiaosong Zhou, Chuanyi Li, Jidong Ge, Zhongjin Li, Xiaoyu Zhou, Bin Luo |
| 2017 | DASFAA | Automatically Classify Chinese Judgment Documents Utilizing Machine Learning Algorithms. | Miaomiao Lei, Jidong Ge, Zhongjin Li, Chuanyi Li, Yemao Zhou, Xiaoyu Zhou, Bin Luo |
| 2013 | WISE | Dynamically Predicting the Deadlines in Time-Constrained Workflows. | Xiaobo Guo, Jidong Ge, Yu Zhou, Haiyang Hu, Feng Yao, Chuanyi Li, Hao Hu |
| 2013 | WISE | A Task Selecting Algorithm for Personal Schedules in Workflow Systems. | Huan Yang, Jidong Ge, Quanjiang Yu, Chuanyi Li, Zhihong Zhao, Hao Hu, Bin Luo |