Murong Ma — Computer Science Ph.D. Student

About Me

I am a Ph.D. student in the School of Computing at the National University of Singapore (NUS), supervised by Prof. Jin Song Dong and Prof. Yun Lin. I am also a research intern at Microsoft Research Asia (MSRA).

My research centers on post-training code agents, with an emphasis on constructing and curating supervised fine-tuning trajectories and reinforcement learning for code agents. My broader interests include data curation and explainable AI (XAI). I am currently open to research and industry opportunities.

Experience

Research Asia

Microsoft Research Asia

Research Intern

26 July 2026 — Present

Working on post-training for code agents, including supervised fine-tuning trajectory construction and curation, and reinforcement learning for code agents.

Research Interests

• Code Agent Post-Training: constructing and curating high-quality supervised fine-tuning trajectories and developing reinforcement-learning methods for code agents.
• Data Curation: selecting, refining, and evaluating training data and agent trajectories to improve model capability and reliability.
• Explainable AI (XAI): developing actionable explanations that help people understand model behavior and make informed decisions.

Publications

1. From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents
   Murong Ma, Tianyu Chen, Yun Lin, Shuai Lu, Qinglin Zhu, Yeyun Gong, Zhiyong Huang, Peng Cheng, Yan Lu, and Jin Song Dong. arXiv preprint arXiv:2605.21996, 2026.

2. Few-Shot Precise Event Spotting via Unified Multi-Entity Graph and Distillation
   Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, and Jin Song Dong. Proceedings of the AAAI Conference on Artificial Intelligence, 40(9):7422–7430, 2026.

3. Pull Requests as a Training Signal for Repo-Level Code Editing
   Qinglin Zhu, Tianyu Chen, Shuai Lu, Lei Ji, Runcong Zhao, Murong Ma, Xiangxiang Dai, Yulan He, Lin Gui, Peng Cheng, and Yeyun Gong. In International Conference on Machine Learning (ICML), 2026.

4. TrainRef: Curating Data with Label Distribution and Minimal Reference for Accurate Prediction and Reliable Confidence
   Murong Ma, Rui Liu, Yun Lin, Zhiyong Huang, and Jin Song Dong. In The Fourteenth International Conference on Learning Representations (ICLR), 2026.

5. F³Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
   Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, and Jin Song Dong. In International Conference on Learning Representations (ICLR), pp. 10566–10580, 2025.

6. Revisiting the Conflict-Resolving Problem from a Semantic Perspective
   Jinhao Dong, Jun Sun, Yun Lin, Yedi Zhang, Murong Ma, Jin Song Dong, and Dan Hao. In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 141–152, 2024.

7. Novel View Synthesis for High-fidelity Headshot Scenes
   Satoshi Tsutsui, Weijia Mao, Sijing Lin, Yunyi Zhu, Murong Ma, and Mike Zheng Shou. arXiv preprint arXiv:2205.15595, 2022.

8. Acoustic Word Embedding System for Code-Switching Query-by-Example Spoken Term Detection
   Murong Ma, Haiwei Wu, Xuyang Wang, Lin Yang, Junjie Wang, and Ming Li. In 2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP), pp. 1–5, 2021.

9. The DKU System Description for the Interspeech 2021 Auto-KWS Challenge
   Yechen Wang, Yan Jia, Murong Ma, Zexin Cai, and Ming Li. arXiv preprint arXiv:2104.04993, 2021.

10. Training Wake Word Detection with Synthesized Speech Data on Confusion Words
    Yan Jia, Zexin Cai, Murong Ma, Zeqing Zhao, Xuyang Wang, Junjie Wang, and Ming Li. arXiv preprint arXiv:2011.01460, 2020.

Education

Honors & Awards

• Excellent Bachelor Thesis, Beijing University of Posts and Telecommunications
• Second-Class Scholarship
• Triple-A Student Award
• Academics Improvement Award
• Third-Class Scholarship

Contact

The best way to reach me is at murongma@u.nus.edu.