Publications

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
  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

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