2026 Gang Hua: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	76	1344	1303	704	678	303	22795

Research.com Recognitions

2019 - IEEE Fellow For contributions to facial recognition in images and videos
2016 - ACM Distinguished Member

Overview

Gang Hua is affiliated with Dolby in the United States. Their research primarily spans the field of Computer Science with a concentration in Computer Vision and Pattern Recognition, having published extensively in this area.

The main subfields of study include:

Computer Vision and Pattern Recognition
Artificial Intelligence
Automotive Engineering
Biomedical Engineering
Control and Systems Engineering

Key research topics covered in their work are:

Human Pose and Action Recognition
Anomaly Detection Techniques and Applications
Video Surveillance and Tracking Methods
Adversarial Robustness in Machine Learning
Advanced Neural Network Applications
Advanced Vision and Imaging
Domain Adaptation and Few-Shot Learning

Gang Hua has contributed to several recent papers, including:

Deep Model Intellectual Property Protection via Deep Watermarking, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
Poison Ink: Robust and Invisible Backdoor Attack, 2022, IEEE Transactions on Image Processing
Efficient Semantic Image Synthesis via Class-Adaptive Normalization, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
Memory-augmented appearance-motion network for video anomaly detection, 2023, Pattern Recognition
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors collaborating with Gang Hua include:

Le Wang
Wei Tang
Sanping Zhou
Dongdong Chen
Nanning Zheng

The most common venues for their research publications are:

arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
Proceedings of the AAAI Conference on Artificial Intelligence
2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Gang Hua has been recognized with several awards, including being named an IEEE Fellow in 2019 for contributions to facial recognition in images and videos, as well as being designated an ACM Distinguished Member in 2016.

Best Publications

A convolutional neural network cascade for face detection

Haoxiang Li;Zhe Lin;Xiaohui Shen;Jonathan Brandt

1652
Citations
Stacked Cross Attention for Image-Text Matching

Kuang-Huei Lee;Xi Chen;Gang Hua;Houdong Hu

1303
Citations
Gated Context Aggregation Network for Image Dehazing and Deraining

Dongdong Chen;Mingming He;Qingnan Fan;Jing Liao

767
Citations
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

Dongqing Zhang;Jiaolong Yang;Dongqiangzi Ye;Gang Hua

728
Citations
Ordinal Regression with Multiple Output CNN for Age Estimation

Zhenxing Niu;Mo Zhou;Le Wang;Xinbo Gao

678
Citations
Discriminative Learning of Local Image Descriptors

M Brown;Gang Hua;S Winder

608
Citations
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training

Jianmin Bao;Dong Chen;Fang Wen;Houqiang Li

587
Citations
Labeled Faces in the Wild: A Survey

Erik Learned-Miller;Gary B. Huang;Aruni RoyChowdhury;Haoxiang Li

554
Citations
StyleBank: An Explicit Representation for Neural Image Style Transfer

Dongdong Chen;Lu Yuan;Jing Liao;Nenghai Yu

525
Citations
Visual attribute transfer through deep image analogy

Jing Liao;Yuan Yao;Lu Yuan;Gang Hua

505
Citations
Neural Aggregation Network for Video Face Recognition

Jiaolong Yang;Peiran Ren;Dongqing Zhang;Dong Chen

438
Citations
Picking the best DAISY

Simon Winder;Gang Hua;Matthew Brown

395
Citations
How to train a compact binary neural network with high accuracy

Wei Tang;Gang Hua;Liang Wang

344
Citations
A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing

Qingnan Fan;Jiaolong Yang;Gang Hua;Baoquan Chen

322
Citations
Context-Aware Visual Tracking

Ming Yang;Ying Wu;Gang Hua

321
Citations
Coherent Online Video Style Transfer

Dongdong Chen;Jing Liao;Lu Yuan;Nenghai Yu

307
Citations
Learning Discriminative Reconstructions for Unsupervised Outlier Removal

Yan Xia;Xudong Cao;Fang Wen;Gang Hua

306
Citations
SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction

Liushuai Shi;Le Wang;Chengjiang Long;Sanping Zhou

299
Citations
Descriptive visual words and visual phrases for image applications

Shiliang Zhang;Qi Tian;Gang Hua;Qingming Huang

296
Citations
Probabilistic Elastic Matching for Pose Variant Face Verification

Haoxiang Li;Gang Hua;Zhe Lin;Jonathan Brandt

263
Citations
Similarity learning on an explicit polynomial kernel feature map for person re-identification

Dapeng Chen;Zejian Yuan;Gang Hua;Nanning Zheng

254
Citations

Frequent Co-Authors

Nanning Zheng Xi'an Jiaotong University

Ying Wu Northwestern University

Lu Yuan Microsoft (United States)

Zhengyou Zhang Tencent (China)

Zicheng Liu Microsoft (United States)

Qi Tian Huawei Technologies (China)

Baoquan Chen Peking University

Liangliang Cao Google (United States)

David Wipf Amazon (United States)

Apostol Natsev Google (United States)

External Links

Wikipedia of Gang Hua Personal website of Gang Hua Google Scholar page

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