Boqin Yuan

MSCS @ UC San Diego

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b4yuan[at]ucsd.edu

I’m a Master student in Computer Science at UC San Diego, exploring the intersection of Machine Learning and Software Engineering. At UCSD, I work with STABLE Lab (Prof. Jishen Zhao) on AI Agent and ML systems research.

I was a full-time Machine Learning Engineer at CambioML (YC S23) from 2024-2025, working on vision language models (AnyParser) and Computer Use Agent (CUA) systems (Energent.ai).

Previously studied Mathematics & Computer Science and Statistics at University of Illinois at Urbana-Champaign (UIUC). I bridge research ideas and production-ready engineering.

Research Interests: Machine Learning, ML Systems, AI Agent, Reinforcement Learning, AI Safety

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News

Apr 27, 2026 ClawTrace: Cost-Aware Tracing for LLM Agent Skill Distillation released on arXiv. Check out the website and code!
Mar 03, 2026 AMA-Bench accepted to ICLR 2026 Workshop MemAgents.
Mar 03, 2026 Diagnosing Retrieval vs. Utilization Bottlenecks accepted to ICLR 2026 MemAgents.
Feb 27, 2026 AMA-Bench for agent trajectory memory released on arXiv. Check out our benchmark!

Selected Publications

  1. ICLR-W
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    AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications
    Yujie Zhao, Boqin Yuan, Junbo Huang, Haocheng Yuan, Zhongming Yu, Haozhou Xu, and 6 more authors
    In ICLR 2026 Workshop MemAgents (Oral), 2026
  2. arXiv
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    ClawTrace: Cost-Aware Tracing for LLM Agent Skill Distillation
    Boqin Yuan, Renchu Song, Yue Su, Sen Yang, and Jing Qin
    arXiv preprint arXiv:2604.23853, 2026
  3. DAC
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    PRO-V-R1: Reasoning Enhanced Programming Agent for RTL Verification
    Yujie Zhao, Zhijing Wu, Boqin Yuan, Zhongming Yu, Hejia Zhang, Wentao Ni, and 3 more authors
    In Design Automation Conference (DAC), 2026
  4. ICLR-W
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    Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory
    Boqin Yuan, Yue Su, and Kun Yao
    In ICLR 2026 Workshop MemAgents (Poster), 2026