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 Pdf BibTex Code
	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 Pdf ArXiv BibTex Code
	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 Pdf ArXiv BibTex Code
	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 Pdf ArXiv BibTex Code
	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 Pdf ArXiv BibTex
	Efficient Test-Time Model Adaptation without Forgetting Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, and **Mingkui Tan** ICML 2022 Pdf ArXiv BibTex
	Dense Regression Network for Video Grounding Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, **Mingkui Tan**, Chuang Gan CVPR 2020 Pdf ArXiv BibTex Code
	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 Pdf ArXiv BibTex Code
	Graph Convolutional Networks for Temporal Action Localization Runhao Zeng, Wenbing Huang, **Mingkui Tan**, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan ICCV 2019 Pdf ArXiv BibTex Code
	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 Pdf BibTex Code Poster

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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 Pdf ArXiv BibTex
	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 Pdf ArXiv BibTex Code
	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 Pdf ArXiv BibTex Code
	Image Captioning With Controllable and Adaptive Length Levels Ning Ding, Chaorui Deng, **Mingkui Tan**, Qing Du, Zhiwei Ge, Qi Wu TPAMI 2023 Pdf BibTex
	Single-Path Bit Sharing for Automatic Loss-Aware Model Compression Jing Liu, Bohan Zhuang, Peng Chen, Chunhua Shen, Jianfei Cai, **Mingkui Tan** TPAMI 2023 Pdf ArXiv BibTex
	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 Pdf BibTex
	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 Pdf BibTex
	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 Pdf ArXiv BibTex Code
	Improving Generative Adversarial Networks with Local Coordinate Coding Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, **Mingkui Tan** TPAMI 2020 Pdf BibTex Code
	Visual Grounding via Accumulated Attention Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, **Mingkui Tan** TPAMI 2020 Pdf BibTex

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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 Pdf ArXiv BibTex
	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 Pdf ArXiv BibTex Data
	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 Pdf ArXiv BibTex
	Training Quantized Network with Auxiliary Gradient Module Bohan Zhuang, Lingqiao Liu, **Mingkui Tan**, Chunhua Shen, Ian Reid CoRR abs/1903.11236 2019 Pdf ArXiv BibTex
	Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Fengda Zhu, Xiaojun Chang, Runhao Zeng, **Mingkui Tan** CoRR abs/1906.09205 2019 Pdf ArXiv BibTex
	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 Pdf ArXiv BibTex
	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 Pdf ArXiv BibTex
	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 Pdf ArXiv BibTex