Ziang Zhou (周子昂)

Researcher AGI · GNN · Optimization

📞 Contact Me

📫ziangzhou@qq.com fduscottzhou@outlook.com

📖 About Me

I received my B.S. in Mathematics from Fudan University in June 2020, and my Ph.D. in CS from The Hong Kong Polytechnic University in March 2026.

I enjoy thinking and wondering. Welcome to chat with me on any intersting topics.

AGI will dominate the world soon, until now we still have a chance to guide it to treat us better.

💼 Experience

🔬 Research Interests

AGI Graph Neural Networks Optimization

📄 Publications

[* Co-first author]

  1. Ziang Zhou, Tianyuan Jin, Jieming Shi, Qing Li.
    SteerConf: Steering LLMs for Confidence Elicitation.
    NeurIPS 2025 (CCF-A).

  2. Ziang Zhou, Zhihao Ding, Jieming Shi, Qing Li, Shiqi Shen.
    GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation.
    ICML 2025 (CCF-A).

  3. Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li.
    SlotGAT: Slot-based Message Passing for Heterogeneous Graphs.
    ICML 2023 (CCF-A).

  4. Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li.
    Effective Stabilized Self-training on Few-labeled Graph Data.
    Information Sciences 2023 (JCR Q1).

  5. Ye, Haishan*, Ziang Zhou*, Luo Luo, Tong Zhang.
    Decentralized Accelerated Proximal Gradient Descent.
    NeurIPS 2020 (CCF-A).

  6. Ye, Haishan, Luo Luo, Ziang Zhou, Tong Zhang.
    Multi-consensus Decentralized Accelerated Gradient Descent.
    JMLR 2023 (CCF-A).

  7. Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou.
    SCE: Scalable Network Embedding from Sparsest Cut.
    KDD 2020 (CCF-A).

📝 Pre-print

🛡️ Professional Service

Invited reviewer for:
ICLR, NeurIPS, Neural Computing, IEEE TCSS

📚 Teaching