Maximum Item First Pattern Growth for Mining Frequent Patterns. - Hongjian Fan; Ming Fan; Bingzheng Wang (RSFDGrC, 2003)

Maintaining Anti-Monotone Property for Generator with Weight and Its Mining Method. - Bingzheng Wang; Ran Liu (J. Comput., 2013)

An Efficient Quality-Related Fault Diagnosis Method for Real-Time Multimode Industrial Process. - Kaixiang Peng; Bingzheng Wang; Jie Dong 004 (J. Control. Sci. Eng., 2017)

Age-Critical Blockchain Resource Allocation over Satellite-based Internet of Things. - Bingzheng Wang; Jian Jiao 001; Weiqiang Wu; Shaohua Wu; Qinyu Zhang 001 (VTC Fall, 2021)

Age-Critical and Secure Blockchain Sharding Scheme for Satellite-Based Internet of Things. - Bingzheng Wang; Jian Jiao 001; Shaohua Wu; Rongxing Lu; Qinyu Zhang 001 (IEEE Trans. Wirel. Commun., 2022)

Reinforcement learning compensated coordination control of multiple mobile manipulators for tight cooperation. - Pengjie Xu; Yuanzhe Cui; Yichao Shen; Wei Zhu; Yiheng Zhang; Bingzheng Wang; Qirong Tang (Eng. Appl. Artif. Intell., 2023)

DiffAIL: Diffusion Adversarial Imitation Learning. - Bingzheng Wang; Guoqiang Wu; Teng Pang; Yan Zhang; Yilong Yin (AAAI, 2024)

An Automatic Weighting Decision-Making Framework for Trajectory Tracking of the Overactuated UAVs Platform. - Bingzheng Wang; Yuanzhe Cui; Yuanxiang Wang; Qirong Tang (ICIRA (9), 2024)

Multi-modal Cooperative Perception of Constrained Multi-UAV Platform. - Yiheng Zhang; Yuanzhe Cui; Yongbo Su; Tong Li; Bingzheng Wang; Qirong Tang (ICIRA (9), 2024)

Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning. - Yan Zhang; Guoqiang Wu; Bingzheng Wang; Teng Pang; Haoliang Sun; Yilong Yin (AAAI, 2025)

N3C: Towards Replay-based Novelty Continual Clustering with Class-Overlapping. - Yan Zhang; Guoqiang Wu; Bingzheng Wang; Teng Pang; Yilong Yin (ICASSP, 2025)

QFAE: Q-Function guided Action Exploration for offline deep reinforcement learning. - Teng Pang; Guoqiang Wu; Yan Zhang; Bingzheng Wang; Yilong Yin (Pattern Recognit., 2025)

DPR: Diffusion Preference-based Reward for Offline Reinforcement Learning. - Teng Pang; Bingzheng Wang; Guoqiang Wu; Yilong Yin (CoRR, 2025)