Wu, Zhihao

28 publications

IJCAI 2025 A Centrality-Based Graph Learning Framework Jiajun Yu, Zhihao Wu, Jielong Lu, Tianyue Wang, Haishuai Wang

ICLRW 2025 AppVLM: A Lightweight Vision Language Model for Online App Control Georgios Papoudakis, Thomas Coste, Zhihao Wu, Jianye Hao, Jun Wang, Kun Shao

AAAI 2025 Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases Yuxin Lin, Wei Wang, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu

ICLR 2025 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao

IJCAI 2025 Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis Zhihao Wu, Jielong Lu, Jiajun Yu, Sheng Zhou, Yueyang Pi, Haishuai Wang

AAAI 2025 MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples Zhihao Wu, Yushi Cheng, Tianyang Sun, Xiaoyu Ji, Wenyuan Xu

AAAI 2025 Mixture of Experts as Representation Learner for Deep Multi-View Clustering Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng

IJCAI 2025 Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors Jielong Lu, Zhihao Wu, Jiajun Yu, Jiajun Bu, Haishuai Wang

ICLRW 2025 Pushing the Limit of Sample-Efficient Offline Reinforcement Learning Peng Cheng, Zhihao Wu, Jianxiong Li, Ziteng He, Haoran Xu, Wei Sun, Youfang Lin, Xianyuan Zhan

AAAI 2025 Refine Then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement Shuman Zhuang, Zhihao Wu, Zhaoliang Chen, Hong-Ning Dai, Ximeng Liu

ICLR 2025 Spa-Bench: A Comprehensive Benchmark for Smartphone Agent Evaluation Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao

IJCAI 2025 Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations Shuman Zhuang, Zhihao Wu, Yuhong Chen, Zihan Fang, Jiali Yin, Ximeng Liu

NeurIPS 2025 Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts Zhihao Wu, Jinyu Cai, Yunhe Zhang, Jielong Lu, Zhaoliang Chen, Shuman Zhuang, Haishuai Wang

NeurIPSW 2024 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent Taiyi Wang, Zhihao Wu, Jianheng Liu, Derek Yuen, Jianye Hao, Jun Wang, Kun Shao

IJCAI 2024 How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective Shuo Wang, Zhihao Wu, Jinwen Wang, Xiaobo Hu, Youfang Lin, Kai Lv

IJCAI 2024 Kernel Readout for Graph Neural Networks Jiajun Yu, Zhihao Wu, Jinyu Cai, Adele Lu Jia, Jicong Fan

CVPR 2024 OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu

NeurIPSW 2024 Spa-Bench: A Comprehensive Benchmark for Smartphone Agent Evaluation Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao

AAAI 2024 What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction Shuo Wang, Zhihao Wu, Xiaobo Hu, Jinwen Wang, Youfang Lin, Kai Lv

AAAI 2023 Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen

AAAI 2023 DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu

AAAI 2023 Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo

NeurIPS 2023 Graph Convolutional Kernel Machine Versus Graph Convolutional Networks Zhihao Wu, Zhao Zhang, Jicong Fan

CVPR 2023 Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu

NeurIPS 2023 Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL Peng Cheng, Xianyuan Zhan, Zhihao Wu, Wenjia Zhang, Youfang Lin, Shou cheng Song, Han Wang, Li Jiang

ICMLW 2023 Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL Peng Cheng, Xianyuan Zhan, Zhihao Wu, Wenjia Zhang, Youfang Lin, Shou cheng Song, Han Wang

NeurIPS 2023 Masked Two-Channel Decoupling Framework for Incomplete Multi-View Weak Multi-Label Learning Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu

ECML-PKDD 2011 A Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks Huaiyu Wan, Youfang Lin, Zhihao Wu, Houkuan Huang