Welcome to Ziang’s Homepage

Personal Information

My name is Ziang Zhou (周子昂). I received my Bachelor’s degree Majoring Mathematics and Applied Mathematics (Data Science) from Fudan University in 2020. I am currently a Ph.D. student in Department of Computing in the Hong Kong Polytechnique University and will graduate in 2025. I am seeking a job now.

Research Interest

AGI, GNN, Optimization.

Publications:

[* Co-first author]

  1. Ziang Zhou, Zhihao Ding, Jieming Shi, Qing Li, and Shiqi Shen. “GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation.” ICML 2025 (CCF-A).
  2. Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, and Qing Li. “SlotGAT: slot-based message passing for heterogeneous graphs.” ICML 2023 (CCF-A).
  3. Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, and Qing Li. “Effective stabilized self-training on few-labeled graph data.” Information Sciences 2023 (JCR Q1).
  4. Ye, Haishan*, Ziang Zhou*, Luo Luo, and Tong Zhang. “Decentralized accelerated proximal gradient descent.” Neurips 2020 (CCF-A).
  5. Ye, Haishan, Luo Luo, Ziang Zhou, and Tong Zhang. “Multi-consensus decentralized accelerated gradient descent.” JMLR 2023 (CCF-A).
  6. Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, and Ziang Zhou. “Sce: Scalable network embedding from sparsest cut.” KDD 2020 (CCF-A).

Pre-print

  1. Ziang Zhou,Tianyuan Jin, Jieming Shi, Qing Li. “Calibrating LLM Confidence with Semantic Steering: A Multi-Prompt Aggregation Framework.” 2025. In URL https://arxiv.org.
  2. Shengzhong Zhang, Ziang Zhou, Zengfeng Huang, and Zhongyu Wei. “Few-shot classification on graphs with structural regularized GCNs.” 2019. In URL https://openreview.net/forum.

Professional Service

I am/was invited as reviewers by following conferences/journals:

ICLR, Neurips, Neural Computing, IEEE TCSS.

Teaching Service