Qunhong Zeng

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Beijing, China

qunhongzeng@gmail.com

I am a final-year graduate student at the School of Computer Science and Technology at Beijing Institute of Technology, advised by Prof. Yuxia Zhang. Prior to this, I received my B.S. degree in Computer Science from the same university in 2023.

My research primarily focuses on AI for Software Engineering (AI4SE). I am currently working at MiniMax AI, where I focus on improving foundation models’ agentic coding capabilities and scaling verifiable environments for agentic post-training. My recent work centers on SWE tasks (Multi-SWE-bench, SWE-bench multilingual, etc.).

I am also interested in MLSys and enjoy building scalable systems, with experience in building RL infrastructure (e.g., verl) and scaling agent scaffolds.

Please feel free to contact me if you’re interested in having a discussion :)

Publications

  1. The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
    Aili Chen, Aonian Li, Baichuan Zhou, Bangwei Gong, Binyang Jiang, Boji Dan, Changhao Zhang, Changqing Yu, Chao Wang, Cheng Ma, Cheng Zhong, Cheng Zhu, Chengjun Xiao, Chengyi Yang, Chengyu Du, Chenyang Zhang, Chi Zhang, Chuangyi Huang, Chunhao Zhang, Chunhui Du, Chunyu Zhao, Congchao Guo, Da Chen, Deming Ding, Dianjun Sun, Dong Li, Dongyu Zhang, Enhui Yang, Fei Yu, Guang Zheng, Guodong Zheng, Guohong Li, Haichao Zhu, Haigang Zhou, Haimo Zhang, Han Ding, Hao Zhang, Haohai Sun, Haolin Lyu, Haonan Lu, Haoyu Wang, Huajie Shi, Huiyang Li, Jiacheng Chen, Jian Zhang, Jiaqi Zhuang, Jiaren Cai, Jiaxin Pan, Jiayao Li, Jiayuan Song, Jichuan Zhang, Jie Wang, Jihao Gu, Jin Zhu, Jingwei Dong, Jingyang Li, Jingyu Zhang, Jingze Zhuang, Jinhao Tian, Jinli Liu, Jinyi Hu, Jun Tao, Jun Zhang, Junbin Ruan, Junhao Xu, Junjie Yan, Junteng Liu, Junxian He, Kang Xu, Ke Ji, Ke Yang, Kecheng Xiao, Keyu Duan, Keyu Li, Le Han, Letian Ruan, Li Yuan, Lianfei Yu, Liheng Feng, Lijie Mo, Lin Li, Linge Du, Lingye Bao, Lingyu Yang, Lingyuan Zhou, Loki, Lu Chen, Lunbin Zeng, Ming Li, Ming Zhong, Mingliang Tao, Mingyuan Chi, Mujie Lin, Nan Hu, Ningxin Chen, Peiyin Zhu, Peng Gao, Pengcheng Gao, Pengfei Li, Penglin Li, Pengyu Zhao, Qibin Ren, Qibing Ren, Qidi Xu, Qihan Ren, Qile Li, Qin Wang, Quanliang Chen, Qunhong Zeng, Rong Tian, Rongxin Guo, Rui Dong, Ruitao Leng, Ruize Zhang, Shanqi Liu, Shaoxiang Chen, Shaoyu Chen, Sheng Jia, Shun Yao, Shuoran Zhao, Shuqi Yu, Sichen Li, Sicheng Pan, Songquan Zhu, Tengfei Li, Tian Xie, Tiancheng Qin, Tianle Li, Tianrun Liang, Wei Liu, Weiqi Xu, Weitao Li, Weixiang Chen, Weiyu Cheng, Weiyu Zhang, Wenhu Chen, Wenqian Zhao, Xiancai Chen, Xiangjun Song, Xiangyuan Wang, Xianzhen Luo, Xiao Luo, Xiao Su, Xiaobo Li, Xiaodong Han, Xiaojie Wu, Xihao Song, Xingyi Han, Xinyu Guan, Xuan Lu, Xun Zou, Xunhao Lai, Xutong Li, Xuyang Shen, Yan Gong, Yan Ma, Yang Jiao, Yang Wang, Yang Xu, Yangsen Wang, Ye Tang, Yicheng Chen, Yihang Wang, Yinran Qiu, Yiqi Shi, Yiting Guo, Yiwen Huang, Yixuan Wang, Yongyi Hu, Yu Gao, Yu Zhang, Yuan Li, Yuanxiang Ying, Yuanzhen Zhang, Yubo Wang, Yuchen Song, Yufeng Yang, Yuhang Meng, Yuhang Miao, Yuhao Li, Yujie Liu, Yulin Hu, Yunan Huang, Yunji Li, Yunyi Huang, Yusen Zhang, Yusu Hong, Yutao Xie, Yutong Zhang, Yuwen Liao, Yuxuan Shi, Yuze Wenren, Zebin Li, Zehan Li, Zejian Luo, Zeyu Jin, Zeyuan Sun, Zhanpeng Zhou, Zhaochen Su, Zhendong Li, Zhengmao Zhu, Zhengyuan Peng, Zhenhua Fan, Zhi Zhang, Zhichao Xu, Zhiheng Lv, Zhikang Xu, Zhitao He, Zhiwei He, Zhongyuan Li, Zibo Gao, Zijia Wu, Zijian Song, Zijian Zhou, Zijun Sun, Zishan Huang, Ziying Chen, and Ziyue Ge
    arXiv preprint arXiv:2605.26494, 2026
    arXiv PDF
  2. SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
    Xiangyi Li, Wenbo Chen, Yimin Liu, Shenghan Zheng, Xiaokun Chen, Yifeng He, Yubo Li, Bingran You, Haotian Shen, Jiankai Sun, Shuyi Wang, Qunhong Zeng, Di Wang, Xuandong Zhao, Yuanli Wang, Roey Ben Chaim, Zonglin Di, Yipeng Gao, Junwei He, Yizhuo He, Liqiang Jing, Luyang Kong, Xin Lan, Jiachen Li, Songlin Li, Yijiang Li, Yueqian Lin, Xinyi Liu, Xuanqing Liu, Haoran Lyu, Ze Ma, Bowei Wang, Runhui Wang, Tianyu Wang, Wengao Ye, Yue Zhang, Hanwen Xing, Yiqi Xue, Steven Dillmann, and Han-chung Lee
    arXiv preprint arXiv:2602.12670, 2026
    PDF Code
  3. OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding
    Deming Ding, Shichun Liu, Enhui Yang, Jiahang Lin, Ziying Chen, Shihan Dou, Honglin Guo, Weiyu Cheng, Pengyu Zhao, Chengjun Xiao, Qunhong Zeng, Qi Zhang, Xuanjing Huang, Qidi Xu, and Tao Gui
    arXiv preprint arXiv:2601.10343, 2026
    PDF Code
  4. ToolTrain: Tool-integrated Reinforcement Learning for Repo Deep Search
    Zexiong Ma, Chao Peng, Qunhong Zeng, Pengfei Gao, Yanzhen Zou, and Bing Xie
    In Proceedings of the IEEE/ACM 48th International Conference on Software Engineering (ICSE), 2026
    PDF Code
  5. Evaluating Generated Commit Messages with Large Language Models
    Qunhong Zeng, Yuxia Zhang, Zexiong Ma, Bo Jiang, Ningyuan Sun, Klaas-Jan Stol, Xingyu Mou, and Hui Liu
    In Proceedings of the IEEE/ACM 48th International Conference on Software Engineering (ICSE), 2026
    ACM SIGSOFT Distinguished Paper Award PDF Code
  6. A First Look at Conventional Commits Classification
    Qunhong Zeng, Yuxia Zhang, Zhiqing Qiu, and Hui Liu
    In Proceedings of the IEEE/ACM 47th International Conference on Software Engineering (ICSE), 2025
    PDF Code
  7. COLARE: Commit Classification via Fine-grained Context-aware Representation of Code Changes
    Qunhong Zeng, Yuxia Zhang, Zeyu Sun, Yujie Guo, and Hui Liu
    In 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    PDF Code

Experiences

  1. MiniMax, Top Talent Intern, 2025.7 - now

    • Core contributor to MiniMax-M2.5’s agentic coding capabilities.

    • Core contributor to improving the SWE/MSWE coding and review capabilities of MiniMax-M2.1. Created the swe-review benchmark, to be open-sourced soon.

    • Core contributor to MiniMax-M2’s multilingual coding capabilities. Benefiting from environment scaling and scaffold scaling, MiniMax-M2 shows SOTA performance on Multi-SWE-bench and SWE-bench multilingual among all open-source models.

  2. Meituan, Beidou Program Intern, 2025.6 - 2025.7

    • Researched multi-turn conversational RL to enhance LLM’s dialogue capabilities.

  3. ByteDance, Trae CodeAI Intern, 2024.9 - 2025.6

    • Conducted research on automated commit message generation and quality evaluation, with findings accepted for publication in the research track of ICSE 2026.

    • Researched RL approaches to enhance LLM’s reasoning capabilities, such as mathematical reasoning, competitive programming contest test generation, and tool-interactive reasoning. Collaborated with Zexiong Ma and mentored by Bo Jiang.

  4. Oneflow, Framework Intern, 2024.3 - 2024.9

    • Extended deep learning framework oneflow compatibility beyond CUDA to diverse hardware accelerators (NPU/XPU), implementing Ascend CANN/AscendC-based operators that enabled end-to-end ResNet, GPT2, and Llama model inference/training on Ascend chips.

    • Managed framework infrastructure including Docker containerization, CI/CD, cross-platform compilation, and Manylinux-compliant Python/C++ extension packaging.

  5. Momenta, HD-Map Backend Intern, 2022.9 - 2023.1

    • Engineered high-performance Python/C++ extensions for HD maps algorithm library, delivering 20x performance improvement.

  6. ByteDance, AI-Lab Intern, 2021.12 - 2022.6

    • Contributed to ByteDance’s machine learning platform development as part of the engineering team.