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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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🌱 My research started from software systems, moved toward the intersection of software and AI, and now focuses on LLM-based agents.
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🔍 Specifically, I am interested in:
- 🌐 Search & Web Agents for deep information seeking and web interaction.
- 🛠 Coding Agents for automated software engineering.
- 🔗 Tool-Augmented LLMs that integrate models with APIs and external tools.
- 📈 Financial Agents for market simulation and decision making.
- 📱 LLM Inference on Edge Devices for efficient web and mobile deployment.
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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.
- 🖋 My introduction at here.
- sixiongxie1001-dot/deep-research-benchmark2.0 - (1 week ago)
- HKUDS/Vibe-Trading - "Vibe-Trading: Your Personal Trading Agent" (1 week ago)
- LilanOvO/Auto-Resubmit - 🚀 Automated & lossless LaTeX paper migration tool. Instantly convert your Overleaf source between top-tier AI conference templates (NeurIPS, ICLR, ACL等). 一键无损转换顶会论文格式！解决转投时的排版折磨，完美保留公式、图表与引用，让科研人员专注研究而非排版。 (2 weeks ago)
- scaleapi/SWE-Atlas - open source SWE-Atlas (2 weeks ago)
- THUDM/slime - slime is an LLM post-training framework for RL Scaling. (2 weeks ago)