MarginGAN: Adversarial Training in Semi-Supervised Learning. - Jinhao Dong; Tong Lin (NeurIPS, 2019)

Cost-Effective Testing of a Deep Learning Model through Input Reduction. - Jianyi Zhou; Feng Li 037; Jinhao Dong; Hongyu Zhang 002; Dan Hao 001 (ISSRE, 2020)

SRRTA: Regression Testing Acceleration via State Reuse. - Jinhao Dong; Yiling Lou; Dan Hao 001 (ASE, 2020)

Boosting coverage-based fault localization via graph-based representation learning. - Yiling Lou; Qihao Zhu; Jinhao Dong; Xia Li 009; Zeyu Sun 004; Dan Hao 001; Lu Zhang 023; Lingming Zhang 001 (ESEC/SIGSOFT FSE, 2021)

FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation. - Jinhao Dong; Yiling Lou; Qihao Zhu; Zeyu Sun 004; Zhilin Li; Wenjie Zhang 007; Dan Hao 001 (ICSE, 2022)

Recommending Good First Issues in GitHub OSS Projects. - Wenxin Xiao; Hao He 012; Weiwei Xu; Xin Tan 003; Jinhao Dong; Minghui Zhou 001 (ICSE, 2022)

Revisiting Learning-based Commit Message Generation. - Jinhao Dong; Yiling Lou; Dan Hao 001; Lin Tan 001 (ICSE, 2023)

Merge Conflict Resolution: Classification or Generation? - Jinhao Dong; Qihao Zhu; Zeyu Sun 004; Yiling Lou; Dan Hao 001 (ASE, 2023)

Revisiting the Conflict-Resolving Problem from a Semantic Perspective. - Jinhao Dong; Jun Sun 001; Yun Lin 001; Yedi Zhang; Murong Ma; Jin Song Dong; Dan Hao 001 (ASE, 2024)

Compiler Bug Isolation via Enhanced Test Program Mutation. - Yujie Liu 005; Mingxuan Zhu; Jinhao Dong; Junzhe Yu; Dan Hao 001 (ASE, 2024)

What can we learn from quality assurance badges in open-source software? - Feng Li 037; Yiling Lou; Xin Tan 003; Zhenpeng Chen; Jinhao Dong; Yang Li; Xuanzhi Wang; Dan Hao 001; Lu Zhang 023 (Sci. China Inf. Sci., 2024)

AgentFL: Scaling LLM-based Fault Localization to Project-Level Context. - Yihao Qin; Shangwen Wang; Yiling Lou; Jinhao Dong; Kaixin Wang; Xiaoling Li 002; Xiaoguang Mao (CoRR, 2024)

ConAIR:Consistency-Augmented Iterative Interaction Framework to Enhance the Reliability of Code Generation. - Jinhao Dong; Jun Sun 001; Wenjie Zhang 007; Jin Song Dong; Dan Hao 001 (CoRR, 2024)

ConTested: Consistency-Aided Tested Code Generation with LLM. - Jinhao Dong; Jun Sun 001; Wenjie Zhang 007; Jin Song Dong; Dan Hao 001 (Proc. ACM Softw. Eng., 2025)

Is It Hard to Generate Holistic Commit Message? - Guoqing Wang 004; Zeyu Sun 004; Jinhao Dong; Yuxia Zhang; Mingxuan Zhu; Qingyuan Liang; Dan Hao 001 (ACM Trans. Softw. Eng. Methodol., 2025)

SoapFL: A Standard Operating Procedure for LLM-Based Method-Level Fault Localization. - Yihao Qin; Shangwen Wang; Yiling Lou; Jinhao Dong; Kaixin Wang; Xiaoling Li 002; Xiaoguang Mao (IEEE Trans. Software Eng., 2025)

MiMo: Unlocking the Reasoning Potential of Language Model - From Pretraining to Posttraining. - Bingquan Xia; Bowen Shen; Cici; Dawei Zhu; Di Zhang; Gang Wang; Hailin Zhang 001; Huaqiu Liu; Jiebao Xiao; Jinhao Dong; Liang Zhao; Peidian Li; et al. (CoRR, 2025)

MiMo-VL Technical Report. - Zihao Yue; Zhenru Lin; Yifan Song; Weikun Wang; Shuhuai Ren; Shuhao Gu; Shicheng Li; Peidian Li; Liang Zhao; Lei Li; Kainan Bao; Hao Tian 006; et al. (CoRR, 2025)