The influence of heterogeneity of adoption thresholds on limited information spreading. - Qiwen Yang; Xuzhen Zhu; Yang Tian; Guanglu Wang; Yuexia Zhang; Lei Chen (Appl. Math. Comput., 2021)

Data-Efficient Deep Reinforcement Learning with Symmetric Consistency. - Xianchao Zhang 001; Wentao Yang; Xiaotong Zhang 003; Han Liu 008; Guanglu Wang (ICPR, 2022)

Graph Clustering With Graph Capsule Network. - Xianchao Zhang 001; Jie Mu; Han Liu 008; Xiaotong Zhang 003; Linlin Zong; Guanglu Wang (Neural Comput., 2022)

TRICL: Triplet Continual Learning. - Xianchao Zhang 001; Guanglu Wang; Xiaotong Zhang 003; Han Liu 008; Zhengxi Yin; Wentao Yang (ICASSP, 2023)

Continual Learning with Class-Level Minimally Interfered Update. - Guanglu Wang; Xianchao Zhang 001; Han Liu 008; Xiaotong Zhang 003; Jie Mu; Wentao Yang; Linlin Zong (ICASSP, 2024)

Online Class-incremental Continual Learning with Maximum Entropy Memory Update. - Guanglu Wang; Xinyue Liu 002; Wenxin Liang; Linlin Zong; Xianchao Zhang 001 (IJCNN, 2024)

Online Contrastive Continual Learning with Hard Negative Samples. - Guanglu Wang; Xinyue Liu 002; Wentao Yang; Wenxin Liang; Linlin Zong; Xianchao Zhang 001 (ICASSP, 2025)

Full Network Capacity Framework for Sample-Efficient Deep Reinforcement Learning. - Wentao Yang; Xinyue Liu 002; Yunlong Gao; Wenxin Liang; Linlin Zong; Guanglu Wang; Xianchao Zhang 001 (UAI, 2025)