Publications

2026

• Latent Block-Diffusion Temporal Point Processes: A Semi-Autoregressive Framework for Asynchronous Event Sequence Generation Paper | Code
  Shuai Zhang, Yancheng Chen, Chuan Zhou, Yang Liu, Xixun Lin, Xiangyu Zhao, Jun Zhu, and Zhi-Ming Ma.
  arXiv preprint arXiv:2606.24982

• Message Tuning Outshines Graph Prompt Tuning: A Prismatic Space Perspective Paper | Code
  Yancheng Chen, Dun Ma, Shuai Zhang, Yang Liu, Xixun Lin, Xiangyu Zhao, Wenguo Yang, Wei Chen, and Chuan Zhou.
  International Conference on Machine Learning (ICML) 2026

• AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification Paper
  Xixun Lin, Zhengyin Zhang, Zhiheng Zhou, Yancheng Chen, Shuai Zhang, Ge Zhang, Shichao Zhu, Lixin Zou, Chuan Zhou, Peng Zhang, and Shirui Pan.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026

• Beyond Pairwise Interactions: Equivariant Hypergraph Diffusion for Crystal Structure Prediction
  Yang Liu, Chuan Zhou, Shuai Zhang, Xiaotong Wu, Peng Zhang, Xixun Lin, Shirui Pan, and Zhao Li.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026

• Provably Feasible LLM Decoding for Combinatorial Optimization
  Yang Liu, Chuan Zhou, Yancheng Chen, Shuai Zhang, Xixun Lin, and Xiaoqing Wang.
  International Conference on Data Mining (ICDM) 2026

2025

• Conformal Anomaly Detection in Event Sequences Paper | Code
  Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, and Shirui Pan.
  International Conference on Machine Learning (ICML) 2025

• Sharpness-aware Zeroth-order Optimization for Graph Transformers Paper
  Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, and Shirui Pan.
  International Joint Conference on Artificial Intelligence (IJCAI) 2025

• Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation Paper
  Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, and Jia Wu.
  International World Wide Web Conference (WWW) 2025

• Heterogeneous Graph Anomaly Detection with Graph Wavelet Transformers Paper
  Xiaoou Zhang, Chuan Zhou, Yang Liu, Shuai Zhang, Peng Zhang, Yujia Zhu, and Qingyun Liu.
  International Conference on Data Mining (ICDM) 2025

2024

• Neural Jump-Diffusion Temporal Point Processes Paper | Code
  Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, and Zhi-Ming Ma.
  International Conference on Machine Learning (ICML) 2024, Spotlight Presentation (3.5%)

• CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization Paper
  Yang Liu, Chuan Zhou, Peng Zhang, Zhao Li, Shuai Zhang, Xixun Lin, and Xindong Wu.
  International Conference on Data Mining (ICDM) 2024

2023

• Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences Paper | Code
  Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, and Hongyang Chen.
  International Conference on Data Mining (ICDM) 2023

• Decision-focused Graph Neural Networks for Graph Learning and Optimization Paper
  Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, and Hongyang Chen.
  International Conference on Data Mining (ICDM) 2023