2026 Changhu Wang: 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	46	6776	6580	907	901	150	10102

Changhu Wang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Changhu Wang sits on this spectrum.

32 publications 991+

This scientist: 150 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Changhu Wang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Changhu Wang sits on this spectrum.

30 D-Index 131+

This scientist: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Changhu Wang is affiliated with ByteDance in China and has contributed extensively to research in the field of computer science, focusing primarily on computer vision and pattern recognition. Their publication record includes 125 works in computer science, with significant specialization in subfields such as computer vision and pattern recognition, artificial intelligence, media technology, radiology, nuclear medicine and imaging, and electrical and electronic engineering.

The scientist's research interests encompass a range of advanced topics, including:

Domain Adaptation and Few-Shot Learning
Advanced Neural Network Applications
Advanced Image and Video Retrieval Techniques
Multimodal Machine Learning Applications
Video Analysis and Summarization
Video Surveillance and Tracking Methods
Advanced Vision and Imaging

Changhu Wang has authored numerous papers in frequently chosen venues, demonstrating extensive engagement in top platforms for their research domain. Their publications appear predominantly in:

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

Notable recent papers include:

"TransFG: A Transformer Architecture for Fine-Grained Recognition" (2022) published in Proceedings of the AAAI Conference on Artificial Intelligence
"TransTrack: Multiple Object Tracking with Transformer" (2020) published on arXiv (Cornell University)
"MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis" (2021) presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"Sparse R-CNN: End-to-End Object Detection with Learnable Proposals" (2020) published on arXiv (Cornell University)
"Mining Contextual Information Beyond Image for Semantic Segmentation" (2021) presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Collaborative work is a significant aspect of their research output. Frequent co-authors include:

Zehuan Yuan
Dongdong Yu
Qi She
Henghui Ding
Peize Sun

Changhu Wang's work covers a broad spectrum within computer vision and artificial intelligence, contributing to foundational and applied research topics by leveraging transformer architectures, neural network applications, and multimodal learning frameworks aligned with evolving trends in video analysis and semantic segmentation.

Best Publications

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

Peize Sun;Rufeng Zhang;Yi Jiang;Tao Kong

1413
Citations
Improving Convolutional Networks With Self-Calibrated Convolutions

Jiang-Jiang Liu;Qibin Hou;Ming-Ming Cheng;Changhu Wang

444
Citations
TransFG: A Transformer Architecture for Fine-grained Recognition

Ju He;Jieneng Chen;Shuai Liu;Adam Kortylewski

442
Citations
Photo2Trip: generating travel routes from geo-tagged photos for trip planning

Xin Lu;Changhu Wang;Jiang-Ming Yang;Yanwei Pang

403
Citations
Involution: Inverting the Inherence of Convolution for Visual Recognition

Duo Li;Jie Hu;Changhu Wang;Xiangtai Li

385
Citations
TransTrack: Multiple-Object Tracking with Transformer.

Peize Sun;Yi Jiang;Rufeng Zhang;Enze Xie

370
Citations
Spatial-bag-of-features

Yang Cao;Changhu Wang;Zhiwei Li;Liqing Zhang

345
Citations
Edgel index for large-scale sketch-based image search

Yang Cao;Changhu Wang;Liqing Zhang;Lei Zhang

293
Citations
Multi-label sparse coding for automatic image annotation

Changhu Wang;Shuicheng Yan;Lei Zhang;Hong-Jiang Zhang

264
Citations
Image annotation refinement using random walk with restarts

Changhu Wang;Feng Jing;Lei Zhang;Hong-Jiang Zhang

262
Citations
Generative Dual Adversarial Network for Generalized Zero-Shot Learning

He Huang;Changhu Wang;Philip S. Yu;Chang-Dong Wang

254
Citations
Equip tourists with knowledge mined from travelogues

Qiang Hao;Rui Cai;Changhu Wang;Rong Xiao

235
Citations
Snippet Extraction and Ranking

Rong Xiao;Qiang Hao;Changhu Wang;Rui Cai

230
Citations
Mining topic-related aspects from user generated content

Rui Cai;Qiang Hao;Changhu Wang;Rong Xiao

208
Citations
Learning to reduce the semantic gap in web image retrieval and annotation

Changhu Wang;Lei Zhang;Hong-Jiang Zhang

192
Citations
MindFinder: interactive sketch-based image search on millions of images

Yang Cao;Hai Wang;Changhu Wang;Zhiwei Li

174
Citations
An Introduction to Image Synthesis with Generative Adversarial Nets.

He Huang;Philip S. Yu;Changhu Wang

174
Citations
Content-Based Image Annotation Refinement

Changhu Wang;Feng Jing;Lei Zhang;Hong-Jiang Zhang

172
Citations
Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information

Kai Su;Dongdong Yu;Zhenqi Xu;Xin Geng

172
Citations
IGroup: web image search results clustering

Feng Jing;Changhu Wang;Yuhuan Yao;Kefeng Deng

158
Citations

Frequent Co-Authors

Lei Zhang International Digital Economy Academy

Hong-Jiang Zhang ByteDance

Liqing Zhang Shanghai Jiao Tong University

Henghui Ding Nanyang Technological University

Ping Luo University of Hong Kong

Chang Wen Chen Hong Kong Polytechnic University

Shuicheng Yan National University of Singapore

Yong Rui Lenovo (China)

Xianhui Chen University of Science and Technology of China

Zhiwei Li Microsoft (United States)

External Links

Personal website of Changhu Wang Google Scholar page

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

Related Online Degrees & Career Pathways

Exploring alternatives to traditional computer science degrees can open up rewarding opportunities in technology. Many students are seeking cheapest master in data science programs, which combine valuable analytics skills with affordability—a great option for those looking to limit debt.

Others prefer a flexible, engineering-focused route. There are a wide range of online electrical engineering courses USA that allow students to specialize or advance without relocating or pausing careers.

Shorter programs are also gaining popularity. Some certificate programs that pay well take just months to complete and can lead to fast-track entry into high-demand tech roles.

For those looking to balance speed with career advancement, the quickest online masters degree paths offer accelerated timelines—sometimes in as little as one year—allowing graduates to upskill and boost earning potential in no time.