About me

  • I'm a PhD student in the Computer Science Department at Northwestern University, MS (Electrical and Computer Engineering) degree from University of Rochester. BS (Software Engineering) degree from Central South University. I'm proud to have graduated from Guiyang No.1 High School. My research interests include large language models, diffusion models, graph neural networks, and energy-based models.
  • If you are interested in collaborating with me in code-LLM, information retrieval, drug design, or other domains, please don’t hesitate to contact me! Let’s have a chat!
  • email: A = "zhenyupan", B = "@u.northwestern", C = ".edu"; address = A + B + C

News

  • [2024-06] I'm starting a new internship at Tongyi Lab@Alibaba Group.
  • [2023-04] 1 paper was accepted to ICS 2023.
  • [2023-02] 1 paper was accepted to DAC 2023.
  • [2022-11] 1 paper was accepted to AAAI 2023.
  • [2022-09] 1 paper was accepted to ICCD 2022.

Award

  • [2024-09] Northwestern University Fellowship
  • [2023-02] 2023 AAAI Student Travel Grant

Publication

  • Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?
    Zhenyu Pan, Rongyu Cao, Yongchang Cao, Yingwei MA, Binhua Li, Fei Huang, Han Liu, Yongbin Li
    [arXiv 2024/10]

  • HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model
    Zhenyu Pan, Yoonsung Jeong, Xiaoda Liu, Han Liu
    [arXiv 2024/05]

  • Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action
    Zhenyu Pan, Haozheng Luo, Manling Li, Han Liu
    [arXiv 2024/05]

  • Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
    Zhenyu Pan, Haozheng Luo, Manling Li, Han Liu
    [arXiv 2024/03]

  • CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver
    Zhenyu Pan, Ammar Gilani, En-Jui Kuo, Zhuo Liu
    [arXiv 2024/03]

  • Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty
    Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael Huang, Tong Geng
    37th AAAI Conference on Artificial Intelligence [AAAI 2023]

  • Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training
    Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin Herbordt and Tong Geng
    36th ACM International Conference on Supercomputing [ICS 2023]

  • Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning
    Zhuo Liu, Yunan Yang, Zhenyu Pan, Anshujit Sharma, Amit Hasan, Caiwen Ding, Ang Li, Michael Huang and Tong Geng
    60th Design Automation Conference [DAC 2023]

  • On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond
    Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng, Weiwen Jiang
    40th International Conference on Computer Design [ICCD 2022]

Research Experience

  • Working as a research intern in Tongyi Lab, Alibaba Group, 06/2024 - Now

Academic Service

  • Conference Reviewer: CVPR 2024, NeurIPS 2024, EMNLP 2024, LoG 2024, AAAI 2025, ICLR 2025, AISTATS 2025
  • Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems

Teaching Assistant

  • ECE-101: Intro to Electrical and Computer Engineering
  • ECE-113: Circuits and Signals
  • ECE-221: Electronic Devices and Circuits
  • ECE-222: Analysis & Design of Integrated Circuits