近期论文
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期刊论文
[1] Runhao Zeng, Chuang Gan, Peihao Chen, Wenbing Huang, Qingyao Wu, and Mingkui Tan*. Breaking Winner-takes-all: Iterative-winners-out Networks for Weakly Supervised Temporal Action Localization. TIP, 2019.
[2] Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, and Mingkui Tan*. Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. TMM, 2019.
[3] Fan Lyu, Qi Wu, Fuyuan Hu, Qingyao Wu, and Mingkui Tan*. Attend and Imagine: Multi-label Image Classification with Visual Attention and Recurrent Neural Networks. TMM, 2019.
[4] Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, and Qingyao Wu. Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. TKDE, 2019.
[5] Peilin Zhao, Yifan Zhang, Min Wu, Steven CH Hoi, Mingkui Tan*, and Junzhou Huang. Adaptive Cost-sensitive Online Classification. TKDE, 2018.
[6] Dong Gong, Mingkui Tan†, Qinfeng Shi, Anton van den Hengel, and Yanning Zhang. Mptv: Matching Pursuit-based Total Variation Minimization for Image Deconvolution. TIP, 2018.
[7] Qingyao Wu, Mingkui Tan†, Xutao Li, Huaqing Min, and Ning Sun. Nmfe-sscc: Non-negative Matrix Factorization Ensemble for Semi-supervised Collective Classification. KBS, 2015.
[8] Mingkui Tan, Ivor W Tsang, and Li Wang. Towards Ultrahigh Dimensional Feature Selection for Big Data. JMLR, 2014.
[9] Mingkui Tan, Ivor W Tsang, and Li Wang. Matching Pursuit LASSO Part I: Sparse Recovery over Big Dictionary. TSP, 2014.
[10] Mingkui Tan, Ivor W Tsang, and Li Wang. Matching Pursuit Lasso Part ii: Applications and Sparse Recovery over Batch Signals. TSP, 2014.
[11] Mingkui Tan, Ivor W Tsang, and Li Wang. Minimax Sparse Logistic Regression for Very High-dimensional Feature Selection. TNNLS, 2013.
会议论文
[1] Deng Huang, Peihao Chen, Runhao Zeng, Qing Du, Mingkui Tan*, and Chuang Gan. Location-aware Graph Convolutional Networks for Video Question Answering. In AAAI, 2020.
[2] Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, and Mingkui Tan*. Multi-marginal wasserstein gan. In NeurIPS, 2019.
[3] Yong Guo, Yin Zheng, Mingkui Tan*, Qi Chen, Jian Chen, Peilin Zhao, and Junzhou Huang. NAT: Neural Architecture Transformer for Accurate and Compact Architectures. In NeurIPS, 2019.
[4] Runhao Zeng, Wenbing Huang, Mingkui Tan*, Yu Rong, Peilin Zhao, Junzhou Huang, and Chuang Gan. Graph Convolutional Networks for Temporal Action Localization. In ICCV, 2019.
[5] Pengshuai Yin, Qingyao Wu, Yanwu Xu, Huaqing Min, Ming Yang, Yubing Zhang, and Mingkui Tan*. PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation. In MICCAI, 2019.
[6] Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan*, and Junzhou Huang. From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. In MICCAI, 2019.
[7] Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan*, and Yanwu Xu. Attention Guided Network for Retinal Image Segmentation. In MCCAI, 2019.
[8] Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan*, and Jiang Liu. Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries. In Workshop on OMIA, 2019.
[9] Jingwen Wang, Yuguang Yan, Yanwu Xu, Wei Zhao, Huaqing Min, Mingkui Tan*, and Jiang Liu. Conditional Adversarial Transfer for Glaucoma Diagnosis. In EMBC, 2019.
[10] Yuguang Yan, Mingkui Tan†, Yanwu Xu, Jiezhang Cao, Michael Ng, Huaqing Min, and Qingyao Wu. Oversampling for Imbalanced Data via Optimal Transport. In AAAI, 2019.
[11] Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan*, and Qingyao Wu. Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. In IJCAI, 2018.
[12] Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, and Mingkui Tan*. Adversarial Learning with Local Coordinate Coding. In ICML, 2018.
[13] Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, and Mingkui Tan*. Visual Grounding via Accumulated Attention. In CVPR, 2018.
[14] Zhuangwei Zhuang, Mingkui Tan†, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, and Jinhui Zhu. Discrimination-aware Channel Pruning for Deep Neural Networks. In NeurIPS, 2018.
[15] Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, and Mingkui Tan*. Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. In KDD, 2018.
[16] Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, and Mingkui Tan*. Double Forward Propagation for Memorized Batch Normalization. In AAAI, 2018.
[17] Chao Han, Qingyao Wu, Michael K Ng, Jiezhang Cao, Mingkui Tan*, and Jian Chen. Tensor Based Relations Ranking for Multi-relational Collective Classification. In ICDM, 2017.
[18] Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, and Mingkui Tan*. On the Flatness of Loss Surface for Twolayered ReLU Networks. In ACML, 2017.
[19] Dong Gong, Mingkui Tan†, Yanning Zhang, Anton van den Hengel, and Qinfeng Shi. Mpgl: An Efficient Matching Pursuit Method for Generalized Lasso. In AAAI, 2017.
[20] Yuguang Yan, Qingyao Wu, Mingkui Tan*, and Huaqing Min. Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers. In ECCV, 2016.
[21] Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton Van Den Hengel, and Qinfeng Shi. Proximal Riemannian Pursuit for Large-scale Trace-norm Minimization. In CVPR, 2016.
[22] Wei Emma Zhang, Mingkui Tan*, Quan Z Sheng, Lina Yao, and Qingfeng Shi. Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. In CIKM, 2016.
[23] Mingkui Tan, Yan Yan, Li Wang, Anton Van Den Hengel, Ivor W Tsang, and Qinfeng Javen Shi. Learning Sparse Confidence-weighted Classifier on Very High Dimensional Data. In AAAI, 2016.
[24] Yan Yan, Mingkui Tan*, Ivor Tsang, Yi Yang, Chengqi Zhang, and Qng Shi. Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. In IJCAI, 2015.
[25] Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, and Zhen Zhang. Learning Graph Structure for Multi-label Image Classification via Clique Generation. In CVPR, 2015.
[26] Mingkui Tan, Ivor W Tsang, Li Wang, Bart Vandereycken, and Sinno Jialin Pan. Riemannian Pursuit for Big Matrix Recovery. In ICML, 2014.
[27] Mingkui Tan, Ivor W Tsang, Li Wang, and Xinming Zhang. Convex Matching Pursuit for Large-scale Sparse Coding and Subset Selection. In AAAI, 2012.
[28] Mingkui Tan, Li Wang, and Ivor W Tsang. Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets. In ICML, 2010.
学术兼职
担任国际期刊审稿人：
Journal of Machine Learning Research (JMLR), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Neural Networks and Learning Systems (TNNLS)，IEEE Transactions on Signal Processing (TSP), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Vehicular Technology, IEEE Transactions on Big Data, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Letters, IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation, Elsevier Int. J. of Electronics and Communications, Multimedia Tools and Applications, Future Generation Computer Systems, Tsinghua Science and Technology, Imaging Science Journal, Information Sciences, Sensing and Imaging.
担任国际会议审稿人：
CVPR, NeurIPS, ICML, ICLR, ICCV, ECCV, AAAI, IJCAI, ICLR, ACMMM, MICCAI, ACML, AISTATS
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