| 2026 | AAAI | Large Language Model Unlearning for Source Code. | Xue Jiang, Yihong Dong, Huangzhao Zhang, Tangxinyu Wang, Zheng Fang, Yingwei Ma, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Yongbin Li, Ge Li |
| 2026 | ACL | RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization. | Yihong Dong, Xue Jiang, Yongding Tao, Huanyu Liu, Kechi Zhang, Lili Mou, Rongyu Cao, Yingwei Ma, Jue Chen, Binhua Li, Zhi Jin, Fei Huang, Yongbin Li, Ge Li |
| 2026 | ACL | Saber: Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model in Code Generation. | Yihong Dong, Zhaoyu Ma, Xue Jiang, Zhiyuan Fan, Jiaru Qian, Yongmin Li, Jianha Xiao, Zhi Jin, Ge Li |
| 2026 | ACL | IntentCoding: Amplifying User Intent in Code Generation. | Zheng Fang, Yihong Dong, Lili Mou, Dongming Jin, Zhi Jin, Ge Li |
| 2026 | ACL | CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment. | Xue Jiang, Yihong Dong, Mengyang Liu, Hongyi Deng, Tian Wang, Yongding Tao, Zhi Jin, Wenpin Jiao, Ge Li |
| 2026 | ACL | KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development? | Xue Jiang, Ge Li, Jiaru Qian, Xianjie Shi, Chenjie Li, Hao Zhu, Ziyu Wang, Jielun Zhang, Zeyu Zhao, Kechi Zhang, Jia Li, Wenpin Jiao, Zhi Jin, Yihong Dong |
| 2026 | ACL | EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning for LLMs. | Huanyu Liu, Jia Li, Yihong Dong, Chang Yu, Taozhi Chen, Lecheng Wang, Yongding Tao, Bin Gu, Ge Li |
| 2025 | ACL | Rethinking Repetition Problems of LLMs in Code Generation. | Yihong Dong, Yuchen Liu, Xue Jiang, Bin Gu, Zhi Jin, Ge Li |
| 2025 | ACL | LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs. | Kaibo Liu, Zhenpeng Chen, Yiyang Liu, Jie M. Zhang, Mark Harman, Yudong Han, Yun Ma, Yihong Dong, Ge Li, Gang Huang |
| 2025 | ACL | CodeDPO: Aligning Code Models with Self Generated and Verified Source Code. | Kechi Zhang, Ge Li, Yihong Dong, Jingjing Xu, Jun Zhang, Jing Su, Yongfei Liu, Zhi Jin |
| 2025 | ACL | Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points. | Kechi Zhang, Ge Li, Jia Li, Yihong Dong, Jia Li, Zhi Jin |
| 2025 | COLING | BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition. | Quanjiang Guo, Yihong Dong, Ling Tian, Zhao Kang, Yu Zhang, Sijie Wang |
| 2025 | ICASSP | A Novel Audio-Visual Multimodal Semi-Supervised Model Based on Graph Neural Networks for Depression Detection. | Yaqin Li, Chenjian Sun, Yihong Dong |
| 2025 | ICSE | ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation. | Xue Jiang, Yihong Dong, Yongding Tao, Huanyu Liu, Zhi Jin, Ge Li |
| 2025 | MICCAI | Alzheimer's Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion. | Yaqin Li, Yihong Dong, Yanan Wu, Haihao Yan, Linlin Gao |
| 2024 | ACL | Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. | Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Bin Gu, Mengfei Yang, Ge Li |
| 2024 | ACL | PACE: Improving Prompt with Actor-Critic Editing for Large Language Model. | Yihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li |
| 2024 | ACL | DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. | Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li, Bin Gu, Mengfei Yang |
| 2024 | ICASSP | Signal Transformer: Complex-Valued Attention and Meta-Learning for Signal Recognition. | Ying Peng, Yihong Dong, Muqiao Yang, Songtao Lu, Qingjiang Shi |
| 2024 | PAKDD | A Novel Population Graph Neural Network Based on Functional Connectivity for Mental Disorders Detection. | Yuheng Gu, Shoubo Peng, Yaqin Li, Linlin Gao, Yihong Dong |
| 2023 | ECAI | Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation. | Yihong Dong, Ge Li, Xue Jiang, Zhi Jin |
| 2023 | ISSTA | CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation. | Yihong Dong, Ge Li, Zhi Jin |
| 2022 | SMC | Mental Disorders Prediction with Heterogeneous Graph Convolutional Network. | Haocai Lin, Jiacheng Pan, Yihong Dong |
| 2021 | WCNC | Semi-Supervised Learning For Signal Recognition With Sparsity And Robust Promotion. | Yihong Dong, Xiaohan Jiang, Lei Cheng, Qingjiang Shi |
| 2020 | ICPADS | LTG-LSM: The Optimal Structure in LSM-tree Combined with Reading Hotness. | Jiaping Yu, Huahui Chen, Jiangbo Qian, Yihong Dong |
| 2019 | ISPA | Dynamic Network Embedding for Link Prediction. | Yan Cao, Yihong Dong, Shaoqing Wu, Yu Xin, Jiangbo Qian |
| 2013 | ICDM | A Study on Privacy Preservation for Multi-user and Multi-granularity. | Dong Li, Xianmang He, Huahui Chen, Yihong Dong, Yefang Chen |
| 2012 | DEXA | Enhancing Utility and Privacy-Safety via Semi-homogenous Generalization. | Xianmang He, Wei Wang, Huahui Chen, Guang Jin, Yefang Chen, Yihong Dong |
| 2012 | PAKDD | Clustering-Based k-Anonymity. | Xianmang He, Huahui Chen, Yefang Chen, Yihong Dong, Peng Wang, Zhenhua Huang |