Zhou, Ao

7 publications

AAAI 2025 Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations Ao Zhou, Bin Liu, Jin Wang, Grigorios Tsoumakas

NeurIPS 2025 CHPO: Constrained Hybrid-Action Policy Optimization for Reinforcement Learning Ao Zhou, Jiayi Guan, Li Shen, Fan Lu, Sanqing Qu, Junqiao Zhao, Ziqiao Wang, Ya Wu, Guang Chen

ECML-PKDD 2024 AEMLO: AutoEncoder-Guided Multi-Label Oversampling Ao Zhou, Bin Liu, Jin Wang, Kaiwei Sun, Kelin Liu

ECML-PKDD 2024 HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction Bin Liu, Siqi Wu, Jin Wang, Xin Deng, Ao Zhou

ECML-PKDD 2024 Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples Ao Zhou, Bin Liu, Zhaoyang Peng, Jin Wang, Grigorios Tsoumakas

CVPR 2024 POCE: Primal Policy Optimization with Conservative Estimation for Multi-Constraint Offline Reinforcement Learning Jiayi Guan, Li Shen, Ao Zhou, Lusong Li, Han Hu, Xiaodong He, Guang Chen, Changjun Jiang

NeurIPS 2023 VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning Jiayi Guan, Guang Chen, Jiaming Ji, Long Yang, Ao Zhou, Zhijun Li, Changjun Jiang