| 2026 | ACL | Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning. | Yiming Huang, Zhenbo Shi, Shuzheng Gao, Cuiyun Gao, Peiyi Han, Chuanyi Liu |
| 2026 | ACL | Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs. | Yiming Huang, Zhenbo Shi, Xin-Cheng Wen, Jichuan Zeng, Cuiyun Gao, Peiyi Han, Chuanyi Liu |
| 2026 | KDD | Improving Heterogeneous Graph Contrastive Learning Robustness via Hierarchical Vulnerability Protection. | Jinhao Cui, Chaoyang Li, Jianyang Qin, Lingzhi Wang, Cuiyun Gao, Qing Liao |
| 2025 | AAAI | Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization. | Linyong Wang, Lianwei Wu, Shaoqi Song, Yaxiong Wang, Cuiyun Gao, Kang Wang |
| 2025 | ACL | Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data. | Xin-Cheng Wen, Yijun Yang, Cuiyun Gao, Yang Xiao, Deheng Ye |
| 2025 | APSEC | PATCHOULI: Fine-grained Security Patch Detection Engine. | Binchang Li, Qingyuan Li, Cuiyun Gao, Qing Liao |
| 2025 | APSEC | Multi-view Leaderboard: Towards Evaluating the Code Intelligence of LLMs From Multiple Views. | Mengyuan Liu, Zexun Zhan, Cuiyun Gao, Yujia Chen, Guoai Xu, Chun Yong Chong, Shan Gao, Xin Xia |
| 2025 | ICDE | Maximal Similar-Weight Biclique Enumeration for Large Bipartite Graphs. | Jianye Yang, Lei Xing, Ziyi Ma, Xi Luo, Cuiyun Gao, Xuemin Lin |
| 2025 | ICSE | Search-Based LLMs for Code Optimization. | Shuzheng Gao, Cuiyun Gao, Wenchao Gu, Michael R. Lyu |
| 2025 | ICSE | Repository-Level Graph Representation Learning for Enhanced Security Patch Detection. | Xin-Cheng Wen, Zirui Lin, Cuiyun Gao, Hongyu Zhang, Yong Wang, Qing Liao |
| 2025 | SIGIR | Understanding Large Language Model Performance in Software Engineering: A Large-scale Question Answering Benchmark. | Ruida Hu, Chao Peng, Jingyi Ren, Bo Jiang, Xiangxin Meng, Qinyun Wu, Pengfei Gao, Xinchen Wang, Cuiyun Gao |
| 2024 | ACL | Enhancing Text-to-SQL Parsing through Question Rewriting and Execution-Guided Refinement. | Wenxin Mao, Ruiqi Wang, Jiyu Guo, Jichuan Zeng, Cuiyun Gao, Peiyi Han, Chuanyi Liu |
| 2024 | ACL | XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection. | Yuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu |
| 2024 | COLING | A Survey on Natural Language Processing for Programming. | Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che |
| 2024 | EMNLP | Split and Merge: Aligning Position Biases in LLM-based Evaluators. | Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu |
| 2024 | ICSE | Code Search is All You Need? Improving Code Suggestions with Code Search. | Junkai Chen, Xing Hu, Zhenhao Li, Cuiyun Gao, Xin Xia, David Lo |
| 2024 | ICSE | Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. | Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu |
| 2024 | ICSE | Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models. | Xiaoli Lian, Shuaisong Wang, Jieping Ma, Xin Tan, Fang Liu, Lin Shi, Cuiyun Gao, Li Zhang |
| 2024 | ICSE | On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study. | Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao, Yang Liu |
| 2024 | ICSE | Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. | Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu |
| 2024 | ICSE | Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. | Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu |
| 2024 | ICSE | ReposVul: A Repository-Level High-Quality Vulnerability Dataset. | Xinchen Wang, Ruida Hu, Cuiyun Gao, Xin-Cheng Wen, Yujia Chen, Qing Liao |
| 2024 | ISSTA | Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code. | Yujia Chen, Cuiyun Gao, Zezhou Yang, Hongyu Zhang, Qing Liao |
| 2024 | ISSTA | SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. | Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, Michael R. Lyu |
| 2023 | CCS | Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks. | Zongjie Li, Chaozheng Wang, Shuai Wang, Cuiyun Gao |
| 2023 | EMNLP | Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. | Yuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu |
| 2023 | IJCNN | MocGCL: Molecular Graph Contrastive Learning via Negative Selection. | Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao |
| 2023 | ICSE | Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension. | Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo, Yue Yu |
| 2023 | ICSE | Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models. | Shuzheng Gao, Hongyu Zhang, Cuiyun Gao, Chaozheng Wang |
| 2023 | ICSE | CCTEST: Testing and Repairing Code Completion Systems. | Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, Cuiyun Gao |
| 2023 | ICSE | Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. | Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao |
| 2023 | ISSTA | What You See Is What You Get? It Is Not the Case! Detecting Misleading Icons for Mobile Applications. | Linlin Li, Ruifeng Wang, Xian Zhan, Ying Wang, Cuiyun Gao, Sinan Wang, Yepang Liu |
| 2022 | EMNLP | Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis. | Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang, Qing Liao |
| 2022 | ICSE | Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. | Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu |
| 2022 | QRS | Parameter Description Generation with the Code Parameter Flow. | Qiuyuan Chen, Zezhou Yang, Zhongxin Liu, Shanping Li, Cuiyun Gao |
| 2021 | ISSRE | Peeking into the Gray Area of Mobile World: An Empirical Study of Unlabeled Android Apps. | Sen Chen, Lingling Fan, Cuiyun Gao, Fu Song, Yang Liu |
| 2021 | WWW | TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release. | Tianyi Yang, Cuiyun Gao, Jingya Zang, David Lo, Michael R. Lyu |
| 2020 | WWW | What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. | Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King |
| 2019 | ICSE | Emerging app issue identification from user feedback: experience on WeChat. | Cuiyun Gao, Wujie Zheng, Yuetang Deng, David Lo, Jichuan Zeng, Michael R. Lyu, Irwin King |
| 2019 | ISSRE | An Empirical Study of Common Challenges in Developing Deep Learning Applications. | Tianyi Zhang, Cuiyun Gao, Lei Ma, Michael R. Lyu, Miryung Kim |
| 2018 | APSEC | Detecting Duplicate Bug Reports with Convolutional Neural Networks. | Qi Xie, Zhiyuan Wen, Jieming Zhu, Cuiyun Gao, Zibin Zheng |
| 2018 | EMNLP | Topic Memory Networks for Short Text Classification. | Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King |
| 2018 | ICSE | Online app review analysis for identifying emerging issues. | Cuiyun Gao, Jichuan Zeng, Michael R. Lyu, Irwin King |
| 2017 | ICSE | IntelliAd: assisting mobile app developers in measuring ad costs automatically. | Cuiyun Gao, Yichuan Man, Hui Xu, Jieming Zhu, Yangfan Zhou, Michael R. Lyu |
| 2016 | ISSRE | Experience Report: Understanding Cross-Platform App Issues from User Reviews. | Yichuan Man, Cuiyun Gao, Michael R. Lyu, Jiuchun Jiang |
| 2015 | ISSRE | PAID: Prioritizing app issues for developers by tracking user reviews over versions. | Cuiyun Gao, Baoxiang Wang, Pinjia He, Jieming Zhu, Yangfan Zhou, Michael R. Lyu |
| 2015 | ISSRE | SpyAware: Investigating the privacy leakage signatures in app execution traces. | Hui Xu, Yangfan Zhou, Cuiyun Gao, Yu Kang, Michael R. Lyu |