2026 Mingkui Tan: 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	57	3791	3686	504	501	212	14985

Overview

Mingkui Tan is affiliated with the South China University of Technology in China. Their academic work is concentrated primarily in the field of Computer Science, with a substantial number of publications totaling 343. Within this broad discipline, their focus narrows down to significant subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Ophthalmology, and Media Technology.

The scientist's recent publications span various topics and prestigious venues in the field. Notable papers include:

"Deep High-Resolution Representation Learning for Visual Recognition" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
"Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation" (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"Location-Aware Graph Convolutional Networks for Video Question Answering" (2020), published in the Proceedings of the AAAI Conference on Artificial Intelligence
"Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis" (2020), published in IEEE Transactions on Image Processing
"Discrimination-aware Network Pruning for Deep Model Compression" (2021), published in IEEE Transactions on Pattern Analysis and Machine Intelligence

The frequent publication venues for Mingkui Tan indicate an engagement with both conference proceedings and leading journals. These venues include:

arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Multimedia
IEEE Transactions on Circuits and Systems for Video Technology

Co-authorship is a notable aspect of their research career, reflecting collaboration with numerous researchers. Frequent co-authors include:

Chuang Gan
Peilin Zhao
Yong Guo
Peihao Chen
Shuaicheng Niu

The core research topics addressed by Mingkui Tan include cutting-edge areas in machine learning and computer vision. These main topics are:

Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Advanced Neural Network Applications
Human Pose and Action Recognition
Advanced Image and Video Retrieval Techniques
Advanced Vision and Imaging
Anomaly Detection Techniques and Applications

Best Publications

Deep High-Resolution Representation Learning for Visual Recognition

Jingdong Wang;Ke Sun;Tianheng Cheng;Borui Jiang

4420
Citations
Graph Convolutional Networks for Temporal Action Localization

Runhao Zeng;Wenbing Huang;Chuang Gan;Mingkui Tan

532
Citations
Discrimination-aware channel pruning for deep neural networks

Zhuangwei Zhuang;Mingkui Tan;Bohan Zhuang;Jing Liu

524
Citations
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution

Yong Guo;Jian Chen;Jingdong Wang;Qi Chen

362
Citations
Domain-Symmetric Networks for Adversarial Domain Adaptation

Yabin Zhang;Hui Tang;Kui Jia;Mingkui Tan

337
Citations
Dense Regression Network for Video Grounding

Runhao Zeng;Haoming Xu;Wenbing Huang;Peihao Chen

290
Citations
Towards Effective Low-Bitwidth Convolutional Neural Networks

Bohan Zhuang;Chunhua Shen;Mingkui Tan;Lingqiao Liu

267
Citations
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets

Mingkui Tan;Li Wang;Li Wang;Ivor W. Tsang

211
Citations
Attention Guided Network for Retinal Image Segmentation

Shihao Zhang;Huazhu Fu;Yuguang Yan;Yubing Zhang

209
Citations
Visual Grounding via Accumulated Attention

Chaorui Deng;Qi Wu;Qingyao Wu;Fuyuan Hu

202
Citations
Gene selection using hybrid particle swarm optimization and genetic algorithm

Shutao Li;Xixian Wu;Mingkui Tan

201
Citations
Towards ultrahigh dimensional feature selection for big data

Mingkui Tan;Ivor W. Tsang;Li Wang

185
Citations
Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation

Zhuangwei Zhuang;Rong Li;Yuanqing Li;Kui Jia

185
Citations
Robust Kernel Low-Rank Representation

Shijie Xiao;Mingkui Tan;Dong Xu;Zhao Yang Dong

175
Citations
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

Yifan Zhang;Ying Wei;Qingyao Wu;Peilin Zhao

173
Citations
Efficient Test-Time Model Adaptation without Forgetting

Unknown

169
Citations
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation

Bohan Zhuang;Chunhua Shen;Mingkui Tan;Lingqiao Liu

166
Citations
Location-Aware Graph Convolutional Networks for Video Question Answering.

Deng Huang;Peihao Chen;Runhao Zeng;Qing Du

164
Citations
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation

Zhen Qiu;Yifan Zhang;Hongbin Lin;Shuaicheng Niu

154
Citations
Heterogeneous Domain Adaptation for Multiple Classes

Joey Tianyi Zhou;Ivor W. Tsang;Sinno Jialin Pan;Mingkui Tan

151
Citations
Visual Grounding via Accumulated Attention.

Chaorui Deng;Qi Wu;Qingyao Wu;Fan Lyu

15
Citations
Graph Convolutional Networks for Temporal Action Localization

Runhao Zeng;Wenbing Huang;Mingkui Tan;Yu Rong

6
Citations

Frequent Co-Authors

Junzhou Huang The University of Texas at Arlington

Peilin Zhao Tencent (China)

Ivor W. Tsang Agency for Science, Technology and Research

Chunhua Shen Zhejiang University

Chuang Gan University of Massachusetts Amherst

Yanwu Xu South China University of Technology

Qi Wu University of Adelaide

Qinfeng Shi University of Adelaide

Li Wang National Cheng Kung University

Anton van den Hengel University of Adelaide

External Links

Personal website of Mingkui Tan Google Scholar page

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