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

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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Learning Active Camera for Multi-Object Navigation

Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, 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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Debiased Visual Question Answering from Feature and Sample Perspectives

Zhiquan Wen, Guanghui Xu, Mingkui Tan, Qingyao Wu, Qi Wu

NeurIPS 2021

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Towards Accurate Text-based Image Captioning with Content Diversity Exploration

Guanghui Xu, Mingkui Tan, Shuaicheng Niu, Yucheng Luo, Qing Du, Qi Wu

CVPR 2021

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Breaking the Curse of Space Explosion: Towards Effcient NAS with Curriculum Search

Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

ICML 2020

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NAT: Neural Architecture Transformer for Accurate and Compact Architectures

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

NeurIPS 2019

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Multi-marginal Wasserstein Gan

Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan

NeurIPS 2019

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Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries

Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan, Jiang Liu

OMIA@MICCAI 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

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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Discrimination-aware Network Pruning for Deep Model Compression

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

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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基于最优传输理论的联合分布匹配方法及应用

曹杰彰,莫朗元,杜卿,国雍,赵沛霖,黄俊洲,谭明奎

计算机学报 2020

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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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Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan

TIP 2020

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Relation Attention for Temporal Action Localization

Chen Peihao, Gan Chuang, Shen Guangyao, Huang Wenbing, Zeng Runhao, Tan Mingkui

IEEE TMM 2019

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Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization

Runhao Zeng, Chuang Gan, Peihao Chen, Wenbing Huang, Qingyao Wu, Mingkui Tan

IEEE Trans. Image Processing 28(12) 2019

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Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks

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

IEEE Trans. Multimedia 21(8) 2019

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Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis

Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan

IEEE Transactions on Multimedia 2019

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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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