About me


  I am currently a professor with the School of Software Engineering at South China University of Technology. I received my Bachelor Degree in Environmental Science and Engineering in 2006 and Master degree in Control Science and Engineering in 2009, both from Hunan University in Changsha, China. I received the Ph.D. degree in Computer Science from Nanyang Technological University, Singapore, in 2014. From 2014-2016, I worked as a Senior Research Associate on computer vision in the School of Computer Science, University of Adelaide, Australia. My research interests include machine learning, sparse analysis, deep learning and large-scale optimization.

Join us


  Our research group still has two academic doctoral places (application examination system), the research interests include large model, embodied intelligence (intelligent robot), etc. Please contact me via email for interested students mingkuitan@scut.edu.cn.

Conferences

Cross-Device Collaborative Test-Time Adaptation

Guohao Chen, Shuaicheng Niu, Deyu Chen, Shuhai Zhang, Changsheng Li, Yuanqing Li, Mingkui Tan

NeurIPS 2024

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Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation

Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan

ICLR 2024

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Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy

Shuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li, Bo Han, Mingkui Tan

ICLR 2024

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Towards Stable Test-Time Adaptation in Dynamic Wild World

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan

ICLR 2023

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Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation

Peihao Chen, Dongyu Ji, Kunyang Lin, Runhao Zeng, Thomas H. Li, Mingkui Tan, Chuang Gan

NeurIPS 2022

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Efficient Test-Time Model Adaptation without Forgetting

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, and Mingkui Tan

ICML 2022

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Dense Regression Network for Video Grounding

Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan

CVPR 2020

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Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan

CVPR 2020

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Graph Convolutional Networks for Temporal Action Localization

Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan

ICCV 2019

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Discrimination-aware Channel Pruning for Deep Neural Networks

Zhuang Zhuangwei, Tan Mingkui, Zhuang Bohan, Liu Jing, Guo Yong, Wu Qingyao, Huang Junzhou, Zhu Jinhui

NeurIPS 2018

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Journals

Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting

Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, and Shuaicheng Niu

TPAMI 2025

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EPMF: Efficient Perception-Aware Multi-Sensor Fusion for 3D Semantic Segmentation

Mingkui Tan, Zhuangwei Zhuang, Sitao Chen, Rong Li, Kui Jia, Qicheng Wang and Yuanqing Li

TPAMI 2024

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Towards lightweight super-resolution with dual regression learning

Yong Guo , Mingkui Tan , Zeshuai Deng , Jingdong Wang , Qi Chen, Jiezhang Cao , Yanwu Xu , and Jian Chen

TPAMI 2024

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Image Captioning With Controllable and Adaptive Length Levels

Ning Ding, Chaorui Deng, Mingkui Tan, Qing Du, Zhiwei Ge, Qi Wu

TPAMI 2023

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Single-Path Bit Sharing for Automatic Loss-Aware Model Compression

Jing Liu, Bohan Zhuang, Peng Chen, Chunhua Shen, Jianfei Cai, Mingkui Tan

TPAMI 2023

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Bidirectional Posture-Appearance Interaction Network for Driver Behavior Recognition

Mingkui Tan, Gengqin Ni, Xu Liu, Shiliang Zhang, Xiangmiao Wu, Yaowei Wang, and Runhao Zeng.

TITS 2022

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Graph Convolutional Module for Temporal Action Localization in Videos

Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan

TPAMI 2021

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Towards Accurate and Compact Architectures via Neural Architecture Transformer

Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang

TPAMI 2021

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Improving Generative Adversarial Networks with Local Coordinate Coding

Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan

TPAMI 2020

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Visual Grounding via Accumulated Attention

Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan

TPAMI 2020

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Preprint Paper

Structured Binary Neural Networks for Image Recognition

Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian Reid

CoRR abs/1909.09934 2019

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Graph Convolutional Networks for Temporal Action Localization

Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan

CoRR abs/1909.03252 2019

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Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations

Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian Reid, Chunhua Shen

CoRR abs/1908.04680 2019

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Training Quantized Network with Auxiliary Gradient Module

Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian Reid

CoRR abs/1903.11236 2019

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Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction

Fengda Zhu, Xiaojun Chang, Runhao Zeng, Mingkui Tan

CoRR abs/1906.09205 2019

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Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss

Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, Jiezhang Cao, Peilin Zhao, Mingkui Tan

CoRR abs/1809.07099 2018

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The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs

Yong Guo, Mingkui Tan, Qingyao Wu, Jian Chen, Anton Van Den Hengel, Qinfeng Shi

CoRR abs/1611.01773 2017

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Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient

Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton Van Den Hengel, Qinfeng Shi

CoRR abs/1503.02828 2015

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