T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. - Chuxiong Sun; Zehua Zang; Jiabao Li; Jiangmeng Li; Xiao Xu; Rui Wang 079; Changwen Zheng (AAAI, 2024)

Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering. - Yuanyuan Guo; Zehua Zang; Hang Gao 004; Xiao Xu; Rui Wang 086; Lixiang Liu; Jiangmeng Li (Knowl. Based Syst., 2024)

Mastering Visual Reinforcement Learning via Positive Unlabeled Policy-Guided Contrast. - Zehua Zang; Qirui Ji; Rui Wang 079; Kai Li 047; Lixiang Liu; Fuchun Sun 001 (ICIC (12), 2025)

A Game of Finding Delicate Data Augmentations: Reinforcement Contrastive Learning of Visual Representations. - Zehua Zang; Rui Wang 079; Lixiang Liu; Fuchun Sun 001 (ICIC (12), 2025)

Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward Tasks. - Zehua Zang; Chuxiong Sun; Lixiang Liu; Fuchun Sun 001; Changwen Zheng (AAMAS, 2025)

M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference. - Chuxiong Sun; Peng He; Qirui Ji; Zehua Zang; Jiangmeng Li; Rui Wang 079; Wei Wang (CoRR, 2025)

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective. - Jiangmeng Li; Zehua Zang; Qirui Ji; Chuxiong Sun; Wenwen Qiang; Junge Zhang; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (Int. J. Comput. Vis., 2025)