Chao Huang

According to our database, Chao Huang authored at least 35 papers between 2018 and 2024.

Collaborative distances:

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

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

Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer.

Chao Huang, Chengliang Liu, Jie Wen, Lian Wu, Yong Xu, Qiuping Jiang, Yaowei Wang

IEEE Trans. Cybern., May, 2024

Video-Based Fall Detection Using Human Pose and Constrained Generative Adversarial Network.

Lian Wu, Chao Huang, Lunke Fei, Shuping Zhao, Jianchuan Zhao, Zhongwei Cui, Yong Xu

IEEE Trans. Circuits Syst. Video Technol., April, 2024

MLFA: Toward Realistic Test Time Adaptive Object Detection by Multi-Level Feature Alignment.

Yabo Liu, Jinghua Wang, Chao Huang, Yiling Wu, Yong Xu, Xiaochun Cao

IEEE Trans. Image Process., 2024

Progressive Point Cloud Denoising with Cross-Stage Cross-Coder Adaptive Edge Graph Convolution Network.

Wu Chen, Hehe Fan, Qiuping Jiang, Chao Huang, Yi Yang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation.

Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao, Cong Wang, Xiaochun Cao

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

Multimodal Representation Distribution Learning for Medical Image Segmentation.

Chao Huang, Weichao Cai, Qiuping Jiang, Zhihua Wang

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

Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection.

Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu

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

Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation.

Wangzi Qi, Wei Wang, Chao Huang, Jie Wen, Cong Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling.

Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering.

Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation.

QiHao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification.

Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Self-Supervised Attentive Generative Adversarial Networks for Video Anomaly Detection.

Chao Huang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang, David Zhang

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Class-guided human motion prediction via multi-spatial-temporal supervision.

Jinkai Li, Honghu Pan, Lian Wu, Chao Huang, Xiaoling Luo, Yong Xu

Neural Comput. Appl., May, 2023

Localized Sparse Incomplete Multi-View Clustering.

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

IEEE Trans. Multim., 2023

Robust fall detection in video surveillance based on weakly supervised learning.

Lian Wu, Chao Huang, Shuping Zhao, Jinkai Li, Jianchuan Zhao, Zhongwei Cui, Zhen Yu, Yong Xu, Min Zhang

Neural Networks, 2023

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

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

CoRR, 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

Localized and Balanced Efficient Incomplete Multi-view Clustering.

Jie Wen, Gehui Xu, Chengliang Liu, Lunke Fei, Chao Huang, Wei Wang, Yong Xu

Proceedings of the 31st ACM International Conference on Multimedia, 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

CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection.

Yabo Liu, Jinghua Wang, Chao Huang, Yaowei Wang, 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

Unsupervised Decomposition and Correction Network for Low-Light Image Enhancement.

Qiuping Jiang, Yudong Mao, Runmin Cong, Wenqi Ren, Chao Huang, Feng Shao

IEEE Trans. Intell. Transp. Syst., 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

Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection.

Chao Huang, Zehua Yang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang

IEEE Trans. Cybern., 2022

Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation Learning.

Dasheng Zhang, Chao Huang, Chengliang Liu, Yong Xu

IEEE Signal Process. Lett., 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

Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection.

Chao Huang, Yabo Liu, Zheng Zhang, Chengliang Liu, Jie Wen, Yong Xu, Yaowei Wang

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

Online Learning-Based Multi-Stage Complexity Control for Live Video Coding.

Chao Huang, Zongju Peng, Yong Xu, Fen Chen, Qiuping Jiang, Yun Zhang, Gangyi Jiang, Yo-Sung Ho

IEEE Trans. Image Process., 2021

Inter-layer correlation-based adaptive bit allocation for enhancement layer in scalable high efficiency video coding.

Zongju Peng, Fen Chen, Dongrong Jiang, Chao Huang, Gangyi Jiang, Mei Yu, Jinlong Li

Signal Process. Image Commun., 2021

2019

Multiple classifier-based fast coding unit partition for intra coding in future video coding.

Zongju Peng, Chao Huang, Fen Chen, Gangyi Jiang, Xin Cui, Mei Yu

Signal Process. Image Commun., 2019

Encoding Complexity Control for Live Video Applications: An Interpretable Machine Learning Approach.

Chao Huang, Zongju Peng, Fen Chen, Qiuping Jiang, Xin Cui, Gangyi Jiang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

Efficient CU and PU Decision Based on Neural Network and Gray Level Co-Occurrence Matrix for Intra Prediction of Screen Content Coding.

Chao Huang, Zongju Peng, Fen Chen, Qiuping Jiang, Gangyi Jiang, Qingqing Hu

IEEE Access, 2018