World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
71785
World Ranking
2973
National Ranking
404

Overview

Gao Huang is affiliated with Tsinghua University in China and has made significant contributions in the field of computer science, with a particular focus on computer vision and pattern recognition. Their research spans several subfields including artificial intelligence, organic chemistry, radiology, nuclear medicine and imaging, and electrical and electronic engineering.

The scientist's publication record includes a broad range of topics such as domain adaptation and few-shot learning, advanced neural network applications, multimodal machine learning applications, advanced image and video retrieval techniques, human pose and action recognition, reinforcement learning in robotics, and machine learning and data classification.

Frequent coauthors in their work include Shiji Song, Yulin Wang, Yizeng Han, and Haojun Jiang. Gao Huang's research has been consistently published in prominent venues including arXiv (Cornell University), IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, Proceedings of the AAAI Conference on Artificial Intelligence, and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Recent publications exemplify Gao Huang's research focus and impact. These include:

  • "Vision Transformer with Deformable Attention," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Dynamic Neural Networks: A Survey," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "On the Integration of Self-Attention and Convolution," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study," 2021, The Lancet Digital Health
  • "SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • Densely Connected Convolutional Networks

    Gao Huang;Zhuang Liu;Laurens van der Maaten;Kilian Q. Weinberger

  • Learning Efficient Convolutional Networks through Network Slimming

    Zhuang Liu;Jianguo Li;Zhiqiang Shen;Gao Huang

  • Trends in extreme learning machines

    Gao Huang;Guang-Bin Huang;Shiji Song;Keyou You

  • Deep Networks with Stochastic Depth

    Gao Huang;Yu Sun;Zhuang Liu;Daniel Sedra

  • Densely Connected Convolutional Networks

    Gao Huang;Zhuang Liu;Laurens van der Maaten;Kilian Q. Weinberger

  • Rethinking the Value of Network Pruning

    Zhuang Liu;Mingjie Sun;Tinghui Zhou;Gao Huang

  • CondenseNet: An Efficient DenseNet Using Learned Group Convolutions

    Gao Huang;Shichen Liu;Laurens van der Maaten;Kilian Q. Weinberger

  • Semi-Supervised and Unsupervised Extreme Learning Machines

    Gao Huang;Shiji Song;Jatinder N. D. Gupta;Cheng Wu

  • Vision Transformer with Deformable Attention

    Unknown

  • Dynamic Neural Networks: A Survey

    Yizeng Han;Gao Huang;Shiji Song;Le Yang

  • Snapshot Ensembles: Train 1, Get M for Free

    Gao Huang;Yixuan Li;Geoff Pleiss;Zhuang Liu

  • Convolutional Networks with Dense Connectivity

    Gao Huang;Zhuang Liu;Geoff Pleiss;Laurens van der Maaten

  • Multi-Scale Dense Networks for Resource Efficient Image Classification

    Gao Huang;Danlu Chen;Tianhong Li;Felix Wu

  • On the Integration of Self-Attention and Convolution

    Unknown

  • Horizontal Pyramid Matching for Person Re-Identification

    Yang Fu;Yunchao Wei;Yuqian Zhou;Honghui Shi

  • 3D Object Detection with Pointformer

    Xuran Pan;Zhuofan Xia;Shiji Song;Li Erran Li

  • Rethinking the Value of Network Pruning

    Zhuang Liu;Mingjie Sun;Tinghui Zhou;Gao Huang

  • Deep Networks with Stochastic Depth

    Gao Huang;Yu Sun;Zhuang Liu;Daniel Sedra

  • BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision

    Unknown

  • Resource Aware Person Re-identification Across Multiple Resolutions

    Yan Wang;Lequn Wang;Yurong You;Xu Zou

  • Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation

    Shuang Li;Shiji Song;Gao Huang;Zhengming Ding

  • An empirical study on evaluation metrics of generative adversarial networks

    Qiantong Xu;Gao Huang;Yang Yuan;Chuan Guo

  • Resolution Adaptive Networks for Efficient Inference

    Le Yang;Yizeng Han;Xi Chen;Shiji Song

  • Supervised word mover's distance

    Gao Huang;Chuan Quo;Matt J. Kusner;Yu Sun

  • Anytime Stereo Image Depth Estimation on Mobile Devices

    Yan Wang;Zihang Lai;Gao Huang;Brian H. Wang

  • Implicit Semantic Data Augmentation for Deep Networks

    Yulin Wang;Xuran Pan;Shiji Song;Hong Zhang

Frequent Co-Authors

Shiji Song
Shiji Song Tsinghua University
Kilian Q. Weinberger
Kilian Q. Weinberger Cornell University
Cheng Wu
Cheng Wu Tsinghua University
Laurens van der Maaten
Laurens van der Maaten Facebook (United States)
Chi Harold Liu
Chi Harold Liu Beijing Institute of Technology
Jifeng Dai
Jifeng Dai Tsinghua University
Zhengming Ding
Zhengming Ding Tulane University
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Yanwei Fu
Yanwei Fu Fudan University
John E. Hopcroft
John E. Hopcroft Cornell University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring an online Computer Science education opens up various flexible and accessible options. Students interested in a fast-tracked approach may consider 1 year associate degree programs online, which can provide foundational skills and a quick entry point to the tech industry.

Cost is a major concern for many prospective students. Fortunately, there are plenty of affordable online colleges that offer Computer Science degrees without compromising quality. These programs can make higher education more attainable for a wider range of learners.

Some applicants worry about their academic history. The good news is that there are online graduate schools with low gpa requirements, allowing more people the chance to pursue advanced studies in Computer Science and related fields.

Beyond traditional tech roles, interdisciplinary careers are growing. For example, combining technology skills with an jobs with elementary education and environmental science degree background can lead to unique job opportunities in sustainable technology, education, and research.

Best Scientists Citing Gao Huang

Trending Scientists

Recently Published Articles