Zhihao Wu

According to our database, Zhihao Wu authored at least 25 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Weakly Supervised Salient Object Detection With Oversize Bounding Box.

Zhihao Wu, Yong Xu, Jian Yang, David Zhang

Int. J. Comput. Vis., September, 2025

Spatial Continuity and Nonequal Importance in Salient Object Detection With Image-Category Supervision.

Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection.

Yabo Liu, Jinghua Wang, Linhui Xiao, Chengliang Liu, Zhihao Wu, Yong Xu

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Multi-view diabetic retinopathy grading via cross-view spatial alignment and adaptive vessel reinforcing.

Yuxin Lin, Xiaoyan Dou, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Tianyi Luo, Jie Wen, Bingo Wing-Kuen Ling, Yong Xu, Wei Wang

Pattern Recognit., 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Mixture of Experts as Representation Learner for Deep Multi-View Clustering.

Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Information Recovery-Driven Deep Incomplete Multiview Clustering Network.

Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Enhanced Spatial Feature Learning for Weakly Supervised Object Detection.

Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li, David Zhang

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Misclassification in Weakly Supervised Object Detection.

Zhihao Wu, Yong Xu, Jian Yang, Xuelong Li

IEEE Trans. Image Process., 2024

Kernel Readout for Graph Neural Networks.

Jiajun Yu, Zhihao Wu, Jinyu Cai, Adele Lu Jia, Jicong Fan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Biomedically Informed ECG Synthesis: Customizing Cardiac Cycle Phases with Diffusion Model.

Yuxin Lin, Jing Ma, Wei Wang, Zhihao Wu, Suyu Dong, Gongning Luo, Kuanquan Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Multiple Instance Detection Networks With Adaptive Instance Refinement.

Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, David Zhang

IEEE Trans. Multim., 2023

Localized Sparse Incomplete Multi-View Clustering.

Chengliang Liu, Zhihao Wu, Jie Wen, Yong Xu, Chao Huang

IEEE Trans. Multim., 2023

Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss.

Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li

IEEE Trans. Image Process., 2023

Information Recovery-Driven Deep Incomplete Multi-view Clustering Network.

Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu

CoRR, 2023

Graph Convolutional Kernel Machine versus Graph Convolutional Networks.

Zhihao Wu, Zhao Zhang, Jicong Fan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Abnormal Event Detection Using Deep Contrastive Learning for Intelligent Video Surveillance System.

Chao Huang, Zhihao Wu, Jie Wen, Yong Xu, Qiuping Jiang, Yaowei Wang

IEEE Trans. Ind. Informatics, 2022

Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer.

Chao Huang, Chengliang Liu, Zheng Zhang, Zhihao Wu, Jie Wen, Qiuping Jiang, Yong Xu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Deep Object Detection with Example Attribute Based Prediction Modulation.

Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Structural Deep Incomplete Multi-view Clustering Network.

Jie Wen, Zhihao Wu, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Lightweight image super-resolution with enhanced CNN.

Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, Wangmeng Zuo, Chen Chen, Chia-Wen Lin

Knowl. Based Syst., 2020

DIMC-net: Deep Incomplete Multi-view Clustering Network.

Jie Wen, Zheng Zhang, Zhao Zhang, Zhihao Wu, Lunke Fei, Yong Xu, Bob Zhang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020