Non-Euclidean Space Exploration for Reinforcement Learning State Embedding. - Weijie Guan; Zhufeng Li; Qimin Liang (EITCE, 2022)

Graph Structure Exploration for Reinforcement Learning State Embedding - Train Tetris Agent with Graph Neural Network. - Weijie Guan; Zhufeng Li; Hiroyuki Yamauchi (ICECC, 2023)

HeroLT: Benchmarking Heterogeneous Long-Tailed Learning. - Haohui Wang; Weijie Guan; Jianpeng Chen; Zi Wang; Dawei Zhou 003 (CoRR, 2023)

Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox. - Haohui Wang; Weijie Guan; Jianpeng Chen; Zi Wang; Dawei Zhou 003 (NeurIPS, 2024)

EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network. - Weijie Guan; Haohui Wang; Jian Kang 008; Lihui Liu; Dawei Zhou 003 (CoRR, 2025)