Ph.D. Candidate, Computer Science and Technology

Tsinghua University

About me

Hi, I'm Zeyang! I'm currently a fourth-year Ph.D candidate in the Department of Computer Science & Technology at Tsinghua Univeristy, advised by Prof. Wenwu Zhu and Prof. Xin Wang. I got my Bachelor degree in Department of Computer Science and Technology at Tsinghua University in 2020. I also got my Second Degree in School of Economics and Management at Tsinghua University in 2020. I have published 20+ papers in prestigious conferences, e.g., NeurIPS, ICML, ACM KDD, ICLR, AAAI, CVPR, etc.

Research interests

My research interests lie in Open-environment Graph Machine Learning, including the subtopics:
  • Automated Architecture Adaptation: adapt to new environments, datasets, tasks by automatically designing, searching, modifying the neural network architectures
  • Out-of-distribution Generalization: generalize the neural network models under distribution shifts by discovering and exploiting the invariant patterns across environments
  • Large Language Models: enhance the zero/few-shot learning and reasoning abilities of the models in open environments by leveraging LLMs' strong abilities (textual understanding/planning/etc.)
  • Ai4Science Applications: solve the scientific problems by leveraging the AI techniques, including mathematical problems, drug discoveries, medical care, etc.

Selected papers

The full list of publications can be found in the publications page.
* indicates equal contributions.

Subtopic 1: Automated Architecture Adaptation

  1. ICML’24
    Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
    Zeyang ZhangXin Wang, Yijian Qin, Hong Chen, Xu Chu, Ziwei Zhang, and Wenwu Zhu
    In ICML, 2024
  2. NeurIPS’23
    Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
    Zeyang ZhangXin WangZiwei Zhang, Guangyao Shen, Shiqi Shen, and Wenwu Zhu
    In Advances in Neural Information Processing Systems, 2023
  3. AAAI’23
    Dynamic Heterogeneous Graph Attention Neural Architecture Search
    Zeyang ZhangZiwei ZhangXin Wang, Yijian Qin, Zhou Qin, and Wenwu Zhu
    In Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Subtopic 2: Out-of-distribution Generalization

  1. Arxiv
    Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion
    Zeyang ZhangXin WangZiwei ZhangHaoyang Li, and Wenwu Zhu
    arXiv preprint arXiv:2311.14255, 2023
  2. NeurIPS’23
    Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
    Zeyang ZhangXin WangZiwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, and Wenwu Zhu
    In Advances in Neural Information Processing Systems, 2023
  3. NeurIPS’22
    Dynamic graph neural networks under spatio-temporal distribution shift
    Zeyang ZhangXin WangZiwei ZhangHaoyang Li, Zhou Qin, and Wenwu Zhu
    In Advances in Neural Information Processing Systems, 2022

Subtopic 3: Large Language Models

  1. KDD’24
    LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
    Zeyang ZhangXin WangZiwei ZhangHaoyang Li, Yijian Qin, and Wenwu Zhu
    In ACM SIGKDD, 2024
  2. NeurIPS’23w
    Graph Meets LLMs: Towards Large Graph Models
    Ziwei ZhangHaoyang LiZeyang Zhang, Yijian Qin, Xin Wang, and Wenwu Zhu
    In Conference on Neural Information Processing Systems Workshop, 2023
  3. Arxiv
    Exploring the Potential of Large Language Models in Graph Generation
    Yang Yao, Xin WangZeyang Zhang, Yijian Qin, Ziwei Zhang, Xu Chu, Yuekui Yang, Wenwu Zhu, and Hong Mei
    arXiv preprint arXiv:2403.14358, 2024

Subtopic 4: AI4Science Applications

  1. BioRxiv
    Decoding cell identity with multi-scale explainable deep learning
    Jun Zhu*, Zeyang Zhang*, Yujia Xiang, Beini Xie, Xinwen Dong, Linhai Xie, Peijie Zhou, Rongyan Yao, Xiaowen Wang, Yang Li, Fuchu HeWenwu ZhuZiwei Zhang, and Cheng Chang
    bioRxiv, 2024
  2. MedAI’23
    Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
    Zeyang Zhang*, Xingwang Li*, Fei Teng, Ning Lin, Xueling Zhu, Xin Wang, and Wenwu Zhu
    In IEEE International Conference on Medical Artificial Intelligence, 2023
  3. AAAI’22
    Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum
    Zeyang ZhangZiwei ZhangXin Wang, and Wenwu Zhu
    Thirty-Fifth AAAI Conference on Artificial Intelligence, 2022


  • AutoGL: A toolkit and platform towards automatic machine learning on graphs.
  • Paper collections for the topic of large graph models.


  • Tsinghua Comprehensive Excellence Scholarship (2019, 2022, 2023)
  • Outstanding Consouller in THU CS (2023)
  • Tsinghua Longhu Scholarship (2023)
  • Tsinghua Outstanding Student Leadership Award (2019, 2022)
  • Tsinghua '84' Future Innovation Scholarship (2022)
  • Outstanding Graduate (Bachelor) at THU CS (2020)
  • Shanghai Junyuan Scholarship (2015, 2017, 2019)
  • Excellent Academic Award in Tsinghua University (2018)
  • First Prize in National Physics Competition for Undergraduate in Some Region (2017)


  • (2021.11 ~ 2022.06) Alibaba Group, researching on graph algorithms for e-commerce risk management. Our paper is published in NeurIPS'22.
  • (2022.07 ~ 2022.09) Tencent Wechat, researching on online video tagging and recommendation systems. Our paper is published in NeurIPS'23.
  • (2022.10 ~ 2024.02) Alibaba Group, researching on OOD generalization and LLMs for online transactions. Our paper is published in AAAI'23 and NeurIPS'23.

Professional Services

  • Conference reviewer / Program committee: NeurIPS (2022, 2023, 2024), ICLR (2023), AAAI (2023), WWW (2023), CVPR (2024), ICML (2024), KDD(2024), ACM MM (2024)
  • Journal reviewer: IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Visualization and Computer Graphics (TVCG)
  • Teaching assistant: Introduction to Data Science, Tsinghua University (Fall 2020, 2021, 2022, 2023)
  • Consouller in Department of Compuster Science and Technology, Tsinghua University (2020, 2021, 2022, 2023)
© Copyright 2024 Zeyang Zhang. Acknowledgements: based on the al-folio template .