2026 Guo-Jun Qi: 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	64	2609	2529	1295	1246	221	15864

Overview

Guo-Jun Qi is affiliated with Futurewei Technologies in the United States and has contributed extensively to the field of computer science, with a strong focus on computer vision and pattern recognition. Their research portfolio includes 197 publications primarily in this domain, covering key subfields such as artificial intelligence, media technology, control and systems engineering, and signal processing.

The main topics of their work encompass domain adaptation and few-shot learning, human pose and action recognition, advanced neural network applications, multimodal machine learning applications, advanced image and video retrieval techniques, video surveillance and tracking methods, and advanced image processing techniques.

Guo-Jun Qi has published frequently in several venues, including:

arXiv (Cornell University)
IEEE Transactions on Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Multimedia
Proceedings of the AAAI Conference on Artificial Intelligence

Several recent papers by Guo-Jun Qi illustrate the scope and diversity of their work:

"Spatial-Temporal Transformer Networks for Traffic Flow Forecasting," 2020, arXiv (Cornell University)
"Contrastive Learning with Stronger Augmentations," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
"Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation," 2022, IEEE Transactions on Multimedia
"Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution," 2023, IEEE Transactions on Image Processing

The scientist has collaborated frequently with several coauthors, including:

Guangwei Gao
Hongkai Xiong
Juncheng Li
Jian Yang
Sanyi Zhang

Best Publications

Correlative multi-label video annotation

Guo-Jun Qi;Xian-Sheng Hua;Yong Rui;Jinhui Tang

663
Citations
Heterogeneous Network Embedding via Deep Architectures

Shiyu Chang;Wei Han;Jiliang Tang;Guo-Jun Qi

655
Citations
Differential Recurrent Neural Networks for Action Recognition

Vivek Veeriah;Naifan Zhuang;Guo-Jun Qi

582
Citations
Unified Video Annotation via Multigraph Learning

Meng Wang;Xian-Sheng Hua;Richang Hong;Jinhui Tang

515
Citations
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

Yuhui Xu;Lingxi Xie;Xiaopeng Zhang;Xin Chen

488
Citations
2014 IEEE International Conference on Data Mining

Aleksandr Aravkin;Aurelie Lozano;Ronny Luss;Prabhajan Kambadur

463
Citations
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods

Guo-Jun Qi;Jiebo Luo

445
Citations
Stock Price Prediction via Discovering Multi-Frequency Trading Patterns

Liheng Zhang;Charu Aggarwal;Guo-Jun Qi

423
Citations
Task Agnostic Meta-Learning for Few-Shot Learning

Muhammad Abdullah Jamal;Guo-Jun Qi

422
Citations
Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction.

Xiangbo Shu;Liyan Zhang;Guo-Jun Qi;Wei Liu

379
Citations
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities

Guo-Jun Qi

372
Citations
Interleaved Group Convolutions

Ting Zhang;Guo-Jun Qi;Bin Xiao;Jingdong Wang

367
Citations
Joint multi-label multi-instance learning for image classification

Zheng-Jun Zha;Xian-Sheng Hua;Tao Mei;Jingdong Wang

304
Citations
Contrastive Learning With Stronger Augmentations

Unknown

290
Citations
Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images

Jinhui Tang;Richang Hong;Shuicheng Yan;Tat-Seng Chua

283
Citations
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

Mingxing Xu;Wenrui Dai;Chunmiao Liu;Xing Gao

260
Citations
Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation

Unknown

260
Citations
Inferring semantic concepts from community-contributed images and noisy tags

Jinhui Tang;Shuicheng Yan;Richang Hong;Guo-Jun Qi

245
Citations
Few-Shot Image Recognition With Knowledge Transfer

Zhimao Peng;Zechao Li;Junge Zhang;Yan Li

240
Citations
Community Detection with Edge Content in Social Media Networks

Guo-Jun Qi;Charu C. Aggarwal;Thomas Huang

229
Citations
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data

Liheng Zhang;Guo-Jun Qi;Liqiang Wang;Jiebo Luo

185
Citations
Weakly-Shared Deep Transfer Networks for Heterogeneous-Domain Knowledge Propagation

Xiangbo Shu;Guo-Jun Qi;Jinhui Tang;Jingdong Wang

179
Citations
Task-Agnostic Meta-Learning for Few-shot Learning

Muhammad Abdullah Jamal;Guo-Jun Qi;Mubarak Shah

25
Citations

Frequent Co-Authors

Jinhui Tang Nanjing University of Science and Technology

Xian-Sheng Hua Terminus International

Thomas S. Huang University of Illinois at Urbana-Champaign

Charu C. Aggarwal IBM (United States)

Qi Tian Huawei Technologies (China)

Jingdong Wang Baidu (China)

Hong-Jiang Zhang ByteDance

Yong Rui Lenovo (China)

Tao Mei Jingdong (China)

Kien A. Hua University of Central Florida

External Links

Personal website of Guo-Jun Qi Google Scholar page

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