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Yujie Zhao 赵雨洁
CSE Ph.D. Student @ UCSD
yuz285[at]ucsd.edu
zhaoyj04[at]gmail.com

Description of the icon About

Hey there!

I'm Yujie Zhao, a second-year Ph.D. student advised by Prof. Jishen Zhao in Computer Science and Engineering Department of UC San Diego, starting in 2024. I am now aiming to build efficient systems for machine learning. Before coming to UCSD, I received my B.S. degree in Applied Physics at University of Science and Technology of China.

I used to be an undergraduate research intern in EIC Lab at GaTech under the supervision of Professor Yingyan (Celine) Lin and Yang (Katie) Zhao. Previously I have also done research about RL theory under the supervision of Professor Huazheng Wang.

I have a broad interest in combining machine learning and computer systems, with a special focus on LLM post-training and LLM agents. Feel free to contact me if you share any common interests!

Description of the icon Recent Research Interests

  • Multi-Agent Systems, including inference and training
  • RL training for LLM agents, including efficiency and effectiveness

Description of the icon News

  • One first-author paper AMA-Bench accepted to ICML 2026.
  • Selected as a 63rd DAC Young Fellow.
  • Joined Google as a Student Research Intern.
  • One first-author paper Pro-V-R1 accepted to DAC 2026.
  • One first-author paper Stronger-MAS accepted to ICLR 2026.
  • Excited to release our PettingLLMs for multi-agent reinforcement learning training framework — check it out and give it a try!
  • Completed three-month research internship at Intel AI Team.
  • One first-author paper accepted to DAC 2025.
  • One first-author paper accepted to NeurIPS 2024.
  • One first-author paper accepted to DAC 2024.

Description of the icon First Author Publications

Full list available on Google Scholar

  • AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications
    Yujie Zhao, Boqin Yuan, Junbo Huang, Haocheng Yuan, Zhongming Yu, Haozhou Xu, Lanxiang Hu, Abhilash Shankarampeta, Zimeng Huang, Wentao Ni, Yuandong Tian, Jishen Zhao
    ICML 2026
    Paper | Website | Code | Dataset | Leaderboard
  • PRO-V-R1: Reasoning Enhanced Programming Agent for RTL Verification
    Yujie Zhao, Zhijing Wu, Boqin Yuan, Zhongming Yu, Hejia Zhang, Wentao Ni, Chia-Tung Ho, Haoxing Ren, Jishen Zhao
    DAC 2026
    Paper | Code
  • Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs
    Yujie Zhao, Lanxiang Hu, Yang Wang, Minmin Hou, Hao Zhang, Ke Ding, Jishen Zhao
    ICLR 2026
    Paper | Code
  • MAGE: A Multi-Agent Engine for Automated RTL Code Generation
    Yujie Zhao*, Hejia Zhang*, Hanxian Huang, Zhongming Yu, Jishen Zhao
    DAC 2025
    Paper | Code
  • RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning
    Yujie Zhao, Jose Aguilar Escamilla, Weyl Lu, Huazheng Wang
    NeurIPS 2024
    Paper | Code
  • 3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits
    Yujie Zhao, Yang Zhao, Cheng Wan, Yingyan (Celine) Lin
    DAC 2024
    Paper | Code

Description of the icon Selected Collaborated Publications and Manuscripts

  • OrcaLoca: An LLM Agent Framework for Software Issue Localization
    Zhongming Yu*, Hejia Zhang*, Yujie Zhao, Hanxian Huang, Matrix Yao, Ke Ding, Jishen Zhao
    ICML 2025
    Paper | Code
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