Chenyang Zhou

Chenyang Zhou

Hi there! I am an incoming Ph.D. student at UC Riverside, starting in Fall 2026. I am advised by Prof. Qian Zhang and Prof. Elaheh Sadredini. My current research sits around computer architecture and machine learning systems, particularly LLM inference acceleration and AI for chip design.

Before my Ph.D., I was a master’s student at Columbia University. I also received my B.S. in Computer Science from UC San Diego in 2023.

I also work closely with Prof. Yufei Ding at UCSD.

Education

  • University of California, Riverside, 2026 - Present
    Ph.D. in Computer Science
  • Columbia University, 2023 - 2024
    M.S. in Computer Science
  • University of California, San Diego, 2019 - 2023
    B.S. in Computer Science

Research Interests

  • LLM inference acceleration
  • AI for chip design
  • Heterogeneous systems

Publications

  1. preprint
    ChipMATE: Multi-Agent Training via Reinforcement Learning for Enhanced RTL Generation
    Zhongkai Yu*, Yichen Lin*, Chenyang Zhou, Yuwei Zhang, Kun Zhou, Junxia Cui, Haotian Ye, Zhengding Hu, Zaifeng Pan, Ruiyi Wang, Yujie Zhao, Hejia Zhang, Jingbo Shang, Jishen Zhao, Yufei Ding
    arXiv preprint arXiv:2605.12857, 2026
    arXiv
  2. preprint
    ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design
    Zhongkai Yu*, Chenyang Zhou*, Yichen Lin, Hejia Zhang, Haotian Ye, Junxia Cui, Zaifeng Pan, Jishen Zhao, Yufei Ding
    arXiv preprint arXiv:2601.21448, 2026
    arXiv
  3. preprint
    AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving
    Zhongkai Yu, Haotian Ye, Chenyang Zhou, Ohm Rishabh Venkatachalam, Zaifeng Pan, Zhengding Hu, Junsung Kim, Won Woo Ro, Po-An Tsai, Shuyi Pei, Yangwook Kang, Yufei Ding
    arXiv preprint arXiv:2604.26103, 2026
    arXiv
  4. ISCA'26
    Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference
    Zhongkai Yu, Yue Guan, Zihao Yu, Chenyang Zhou, Shuyi Pei, Yangwook Kang, Yufei Ding, Po-An Tsai
    Proceedings of the 53rd Annual International Symposium on Computer Architecture, 2026
    Best Paper Candidate
    arXiv