Important
I am currently actively seeking job opportunities related to LLM agents, software engineering, and real-world automation. Welcome to email me at hyshen@stu.pku.edu.cn if you are interested.
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🎓 I am SHEN Haiyang, a Ph.D. candidate at the School of Computer Science, Peking University, advised by Assistant Professor Yun Ma.
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🏅 I received my B.Sc. degree from the School of Computer Science at Northwestern Polytechnical University in June 2022.
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🌱 I work on LLM agents, software engineering, and data synthesis for real-world automation. My current research takes a data-centric view of agent development: the bottleneck is not only model capability, but also how we discover, define, and scale the right tasks from real software systems, user trajectories, and executable environments. Since late 2024, I have focused on agent data synthesis, including graph/search data synthesis for deep research and agentic retrieval, and coding agent benchmark/data synthesis through Monthly-SWEBench, DeepTerminalBench, and EvoCodeBench.
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♻️ My long-term vision is to build a fully automated self-improving loop for agents: systems that discover real problems from software systems and user trajectories, define them as measurable tasks, synthesize benchmark and training data, run experiments, and use feedback to improve the next generation of agents. Inspired by autoresearch, I hope to move this loop toward fully automated agent self-evolution and continual evolution.
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📚 My research group is affiliated with the Data Space Technology and Systems Research Center, led by Academician Hong Mei and Professor Gang Huang, with faculty members including Xuanzhe Liu, Xin Jin, and Yun Ma.
- 2025.12 -- 2026.07, Intern at UniPat AI. Worked on high-quality coding-agent benchmarks and data for Terminal-X, including Deep-TerminalBench, EvoCode-Bench, Roadmap-Bench, and Monthly-SWEBench. Beyond human-in-the-loop benchmark construction, I advanced fully automated, large-scale high-quality data construction pipelines that have already created substantial economic value.
- 🖋 My introduction at here.
- WebChoreArena/WebChoreArena - (1 day ago)
- FreedomIntelligence/Awesome-Rubrics - A curated list of resources (surveys, papers, benchmarks, and opensource projects) on Rubrics (4 days ago)
- mit-han-lab/KernelWiki - (4 days ago)
- mit-han-lab/kernel-design-agents - (4 days ago)
- EachSheep/MindLoom - (1 month ago)