Chao Huang

According to our database, Chao Huang authored at least 73 papers between 2018 and 2026.

Collaborative distances:

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

2026

Disentangling Consistent and Specific Information for Double Incomplete Multi-View Multi-Label Classification.

Jie Wen, Lian Zhao, Xiaohuan Lu, Chengliang Liu, Li Shen, Chao Huang, Yong Xu

IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

SphereVAD: Training-Free Video Anomaly Detection via Geodesic Inference on the Unit Hypersphere.

Chao Huang, Penfei Wei, Wei Wang, Jie Wen, Zhihua Wang, Li Shen, Wenqi Ren, Xiaochun Cao

CoRR, May, 2026

Unified Restoration-Perception Learning: Maritime Infrared-Visible Image Fusion and Segmentation.

Weichao Cai, Weiliang Huang, Biao Xue, Chao Huang, Fei Yuan, Bob Zhang

CoRR, March, 2026

WMoE-CLIP: Wavelet-Enhanced Mixture-of-Experts Prompt Learning for Zero-Shot Anomaly Detection.

Peng Chen, Chao Huang

CoRR, March, 2026

M3-AD: Reflection-aware Multi-modal, Multi-category, and Multi-dimensional Benchmark and Framework for Industrial Anomaly Detection.

Chao Huang, Yanhui Li, Yunkang Cao, Wei Wang, Hongxi Huang, Jie Wen, Wenqi Ren, Xiaochun Cao

CoRR, March, 2026

Causal Interventional Prompt Tuning for Few-Shot Out-of-Distribution Generalization.

Jie Wen, Yicheng Liu, Chao Huang, Chengliang Liu, Yong Xu, Xiaochun Cao

IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

Reason-IAD: Knowledge-Guided Dynamic Latent Reasoning for Explainable Industrial Anomaly Detection.

Peng Chen, Chao Huang, Yunkang Cao, Chengliang Liu, Wenqiang Wang, Mingbo Yang, Li Shen, Wenqi Ren, Xiaochun Cao

CoRR, February, 2026

Sparse Layer Sharpness-Aware Minimization for Efficient Fine-Tuning.

Yifei Cheng, Xianglin Yang, Guoxia Wang, Chao Huang, Fei Ma, Dianhai Yu, Xiaochun Cao, Li Shen

CoRR, February, 2026

Who Deserves the Reward? SHARP: Shapley Credit-based Optimization for Multi-Agent System.

Yanming Li, Xuelin Zhang, Wenjie Lu, Ziye Tang, Maodong Wu, Haotian Luo, Tongtong Wu, Zijie Peng, Hongze Mi, Yibo Feng, Naiqiang Tan, Chao Huang, Hong Chen, Li Shen

CoRR, February, 2026

SPDA-SAM: A Self-prompted Depth-Aware Segment Anything Model for Instance Segmentation.

Yihan Shang, Wei Wang, Chao Huang, Xinghui Dong

CoRR, February, 2026

Advancing Adaptive Multi-Stage Video Anomaly Reasoning: A Benchmark Dataset and Method.

Chao Huang, Benfeng Wang, Wei Wang, Jie Wen, Li Shen, Wenqi Ren, Yong Xu, Xiaochun Cao

CoRR, January, 2026

Harnessing Multi-Modal Large Language Models for Measuring and Interpreting Color Differences.

Zhihua Wang, Yu Long, Qiuping Jiang, Chao Huang, Xiaochun Cao

IEEE Trans. Image Process., 2026

Toward a Completely Blind Attacker for No-Reference Image Quality Assessment Models.

Xinyu Ruan, Hangwei Chen, Chao Huang, Wenqi Ren, Qiuping Jiang

IEEE Trans. Image Process., 2026

MCFL: Multimodal Collaborative Fusion Learning for Hashimoto's Thyroiditis Recognition.

Wenchao Jiang, Guanjie Zhou, Honghua Bai, Ji He, Chao Huang, Feng Han, Wei Song, Song Guo

IEEE Trans. Image Process., 2026

Latent Fingerprint Quality Assessment for Criminal Investigations: A Benchmark Dataset and Method.

Chao Huang, Jingxuan Zhang, Ye Zhang, Hao Wu, Peibei Cao, Zhihua Wang, Yang Yu, Xiaochun Cao

IEEE Trans. Image Process., 2026

DyC-CLIP: Dynamic context-aware multi-modal prompt learning for zero-shot anomaly detection.

Peng Chen, Fangjun Huang, Chao Huang

Pattern Recognit., 2026

Visual anomaly detection under complex view-illumination interplay: A large-scale benchmark.

Yunkang Cao, Yuqi Cheng, Yuxin Zhang, Xiaohao Xu, Yiheng Zhang, Yihan Sun, Yuxiang Tan, Xiaonan Huang, Chao Huang, Weiming Shen

Pattern Recognit., 2026

A large-scale multi-view fundus images dataset and benchmark for diabetic retinopathy grading.

Xiaoling Luo, Qiaojian Zheng, Chengliang Liu, Yangneng Chen, Xiaoyan Dou, Tianyi Luo, Yingying Wen, Chao Huang, Yong Xu, Jie Wen

Inf. Fusion, 2026

Bridging Multi-Stages and Multi-Views for low-quality point cloud denoising.

Wu Chen, Qiuping Jiang, Hehe Fan, Chao Huang, Chunmao Wang, Xiaojun Chang, Yi Yang

Inf. Fusion, 2026

Detecting Fake News in Short Videos Through Multi-View Aggregation.

Nuo Li, Yuan Xiong, Chengliang Liu, Jie Wen, Chao Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection.

Yanhui Li, Yunkang Cao, Chengliang Liu, Yuan Xiong, Xinghui Dong, Chao Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SAID: Empowering Large Language Models with Self-Activating Internal Defense.

Yulong Chen, Yadong Liu, Jiawen Zhang, Mu Li, Chao Huang, Jie Wen

CoRR, October, 2025

A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading.

Xiaoling Luo, Qihao Xu, Zhihua Wang, Chao Huang, Chengliang Liu, Xiaopeng Jin, Jianguo Zhang

IEEE J. Biomed. Health Informatics, May, 2025

Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought.

Chao Huang, Benfeng Wang, Jie Wen, Chengliang Liu, Wei Wang, Li Shen, Xiaochun Cao

CoRR, May, 2025

Multimodal Evidential Learning for Open-World Weakly-Supervised Video Anomaly Detection.

Chao Huang, Weiliang Huang, Qiuping Jiang, Wei Wang, Jie Wen, Bob Zhang

IEEE Trans. Multim., 2025

Optimal Graph Learning-Based Label Propagation for Cross-Domain Image Classification.

Wei Wang, Mengzhu Wang, Chao Huang, Cong Wang, Jie Mu, Feiping Nie, Xiaochun Cao

IEEE Trans. Image Process., 2025

Deep Label Propagation With Nuclear Norm Maximization for Visual Domain Adaptation.

Wei Wang, Hanyang Li, Cong Wang, Chao Huang, Zhengming Ding, Feiping Nie, Xiaochun Cao

IEEE Trans. Image Process., 2025

Toward Efficient Test Time Adaptation With Hierarchical Distribution Alignment.

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

IEEE Trans. Image Process., 2025

Prototype-guided and dynamic-aware video anomaly detection.

Chao Huang, Qianyi Li, Bob Zhang

Neural Networks, 2025

Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation.

Wei Wang, Haifeng Xia, Chao Huang, Zhengming Ding, Cong Wang, Haojie Li, Xiaochun Cao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought.

Chao Huang, Benfeng Wang, Wei Wang, Jie Wen, Chengliang Liu, Li Shen, Xiaochun Cao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators.

Zhihua Wang, Xuelin Liu, Jiebin Yan, Jie Wen, Wei Wang, Chao Huang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection.

Weichao Cai, Weiliang Huang, Yunkang Cao, Chao Huang, Fei Yuan, Bob Zhang, Jie Wen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Omni-Dimensional State Space Model-driven SAM for Pixel-level Anomaly Detection.

Chao Huang, Qianyi Li, Jie Wen, Bob Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models.

Chao Huang, Yushu Shi, Jie Wen, Wei Wang, Yong Xu, Xiaochun Cao

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt.

Benfeng Wang, Chao Huang, Jie Wen, Wei Wang, Yabo Liu, Yong Xu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Multi-view Evidential Learning-based Medical Image Segmentation.

Chao Huang, Yushu Shi, Waikeung Wong, Chengliang Liu, Wei Wang, Zhihua Wang, Jie Wen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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

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

Uncertainty-aware prototypical learning for anomaly detection in medical images.

Chao Huang, Yushu Shi, Bob Zhang, Ke Lyu

Neural Networks, 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