2026 Dacheng Tao: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Best Scientists	166	1004	922	8	8	1303	110588
Computer Science	176	13	12	1	1	1300	119918

Research.com Recognitions

2026 - Research.com Computer Science in Singapore Leader Award
2025 - Research.com Computer Science in Singapore Leader Award
2023 - Research.com Computer Science in Australia Leader Award
2022 - Research.com Computer Science in Australia Leader Award
2019 - ACM Fellow For contributions to representation learning and its applications
2017 - Australian Laureate Fellow
2017 - Fellow of the American Association for the Advancement of Science (AAAS)
2016 - Member of Academia Europaea
2013 - SPIE Fellow
2012 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and image understanding

Overview

Dacheng Tao is affiliated with Nanyang Technological University in Singapore. Their research primarily falls within the field of Computer Science, with a focus on several key subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Electrical and Electronic Engineering, and Computational Mechanics.

The research topics covered extensively by Dacheng Tao include Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Advanced Neural Network Applications, Topic Modeling, Advanced Image and Video Retrieval Techniques, Human Pose and Action Recognition, and Natural Language Processing Techniques.

Frequent co-authors collaborating with Dacheng Tao are:

Jing Zhang
Liang Ding
Bo Du
Fengxiang He
Yibing Zhan

The scientist has published extensively in several notable venues. The most frequent publication venues include:

arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Image Processing

Recent papers authored or co-authored by Dacheng Tao include:

Knowledge Distillation: A Survey, 2021, International Journal of Computer Vision
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications, 2021, IEEE Transactions on Knowledge and Data Engineering
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things, 2020, IEEE Internet of Things Journal
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation, 2022, arXiv (Cornell University)
Heterogeneous Federated Learning: State-of-the-art and Research Challenges, 2023, ACM Computing Surveys

Dacheng Tao's work has been recognized by various professional and academic societies. Honors include:

ACM Fellow (2019) for contributions to representation learning and its applications
Fellow of the American Association for the Advancement of Science (AAAS) (2017)
Australian Laureate Fellow (2017)
Member of Academia Europaea (2016)
SPIE Fellow (2013)
Fellow of the International Association for Pattern Recognition (IAPR) (2012) for contributions to pattern recognition and image understanding

Best Publications

DehazeNet: An End-to-End System for Single Image Haze Removal

Bolun Cai;Xiangmin Xu;Kui Jia;Chunmei Qing

3153
Citations
Knowledge Distillation: A Survey

Jianping Gou;Jianping Gou;Baosheng Yu;Stephen John Maybank;Dacheng Tao

3041
Citations
Benchmarking Single-Image Dehazing and Beyond

Boyi Li;Wenqi Ren;Dengpan Fu;Dacheng Tao

1967
Citations
Deep Ordinal Regression Network for Monocular Depth Estimation

Huan Fu;Mingming Gong;Chaohui Wang;Kayhan Batmanghelich

1929
Citations
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

1791
Citations
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

1483
Citations
An Underwater Image Enhancement Benchmark Dataset and Beyond

Chongyi Li;Chunle Guo;Wenqi Ren;Runmin Cong

1424
Citations
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition

Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank

1371
Citations
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

Jie Gui;Zhenan Sun;Yonggang Wen;Dacheng Tao

1321
Citations
A Survey on Multi-view Learning

Chang Xu;Dacheng Tao;Chao Xu

1259
Citations
Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval

Dacheng Tao;Xiaoou Tang;Xuelong Li;Xindong Wu

1114
Citations
Deep Modular Co-Attention Networks for Visual Question Answering

Zhou Yu;Jun Yu;Yuhao Cui;Dacheng Tao

922
Citations
A survey of graph edit distance

Xinbo Gao;Bing Xiao;Dacheng Tao;Xuelong Li

909
Citations
Classification with Noisy Labels by Importance Reweighting

Tongliang Liu;Dacheng Tao

857
Citations
Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering

Zhou Yu;Jun Yu;Jianping Fan;Dacheng Tao

754
Citations
MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking

Zhibin Hong;Zhe Chen;Chaohui Wang;Xue Mei

740
Citations
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

Jing Zhang;Dacheng Tao

721
Citations
Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening

Jun Cheng;Jiang Liu;Yanwu Xu;Fengshou Yin

709
Citations
GoDec: Randomized Low-rank & Sparse Matrix Decomposition in Noisy Case

Tianyi Zhou;Dacheng Tao

707
Citations
Generalized Latent Multi-View Subspace Clustering

Changqing Zhang;Huazhu Fu;Qinghua Hu;Xiaochun Cao

688
Citations
Geometric Mean for Subspace Selection

Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank

651
Citations
Deep Domain Generalization via Conditional Invariant Adversarial Networks

Ya Li;Xinmei Tian;Mingming Gong;Yajing Liu

584
Citations

Frequent Co-Authors

Xuelong Li China Telecom (China)

Xinbo Gao Xidian University

Tongliang Liu University of Sydney

Chang Xu University of Sydney

Chao Xu Peking University

Jun Yu Hangzhou Dianzi University

Mingli Song Zhejiang University

Lefei Zhang Wuhan University

Cheng Deng Xidian University

Bo Du Wuhan University

External Links

Wikipedia of Dacheng Tao Personal website of Dacheng Tao Google Scholar page

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