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!
Recent Research Interests
- Multi-Agent Systems, including inference and training
- RL training for LLM agents, including efficiency and effectiveness
News
- 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.
First Author Publications
Full list available on Google Scholar
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PRO-V-R1: Reasoning Enhanced Programming Agent for RTL VerificationDAC 2026
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Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMsICLR 2026
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MAGE: A Multi-Agent Engine for Automated RTL Code GenerationDAC 2025
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RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement LearningNeurIPS 2024
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3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated CircuitsDAC 2024
Selected Collaborated Publications and Manuscripts