Journals

2020

Scripted Video Generation With a Bottom-Up Generative Adversarial Network

Qi Chen, Qi Wu, Jian Chen, Qingyao Wu, Anton van den Hengel, Mingkui Tan

TIP 2020

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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, Chunhua Shen, Qingyao Wu, Junzhou Huang, Mingkui Tan

TPAMI 2020

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Generating Visually Aligned Sound from Videos

Peihao Chen, Yang Zhang, Mingkui Tan, Hongdong Xiao, Deng Huang, and Chuang Gan

TIP 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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Deep High-Resolution Representation Learning for Visual Recognition

Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao

IEEE TPAMI 2020

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A Real-time Action Representation with Temporal Encoding and Deep Compressions

Kun Liu, Wu Liu, Huadong Ma, Mingkui Tan, Chuang Gan

IEEE TCSVT 2020

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Multi-way backpropagation for training compact deep neural networks

Yong Guo, Jian Chen, Qing Du, Anton Van Den Hengel, Qinfeng Shi, Mingkui Tan

Neural Networks 2020

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Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning

Yifan Zhang, Peilin Zhao, Bin Li, Qingyao Wu, Junzhou Huang, Mingkui Tan

IEEE TKDE 2020

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2019

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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Online Adaptive Asymmetric Active Learning with Limited Budgets

Zhang Yifan, Zhao Peilin, Niu Shuaicheng, Wu Qingyao, Cao Jiezhang, Huang Junzhou, Tan Mingkui

IEEE TKDE 2019

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Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers

Kui Jia, Jiehong Lin, Mingkui Tan, and Dacheng Tao

IEEE Trans. Image Processing 28(10) 2019

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Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold

Tan Mingkui, Hu Zhibin, Yan Yuguang, Cao Jiezhang, Gong Dong, Wu Qingyao

IEEE TKDE 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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Multi-class Heterogeneous Domain Adaptation

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

J. Mach. Learn. Res. 20 2019

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MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution

Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel , Yanning Zhang

IEEE Trans. Image Processing 28(4) 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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Learning Distilled Graph for Large-Scale Social Network Data Clustering

Liu Wenhe, Gong Dong, Tan Mingkui, Shi Qinfeng, Yang Yi, Alexander G. Hauptmann

IEEE Transactions on Knowledge and Data Engineering 2019

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Adaptive Cost-Sensitive Online Classification

Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang

IEEE Trans. Knowl. Data Eng. 31(2) 2019

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Late Fusion via Subspace Search With Consistency Preservation

X. Dong, Y. Yan, M. Tan, Y. Yang, I. W. Tsang

IEEE Trans. Image Processing 28(1) 2019

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2018

Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study

Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang

IEEE Trans. Knowl. Data Eng. 32(2) 2018

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Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions

Y. Yan, Q. Wu, M. Tan, M. K. Ng, H. Min, I. W. Tsang

IEEE Trans. Neural Netw. Learning Syst. 29(7) 2018

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Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength

L. Yao, Q. Z. Sheng, X. Li, T. Gu, M. Tan, X. Wang, S. Wang, W. Ruan

IEEE Trans. Mob. Comput. 17(2) 2018

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2017

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources

Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, and Tianyong Hao

IEEE Trans. Knowl. Data Eng. 29(7) 2017

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2016

ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification

Qingyao Wu, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng

IEEE Trans. Knowl. Data Eng. 28(10) 2016

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2015

NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification

Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, and Tianyong Hao

Knowl.-Based Syst. 89 2015

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2014

Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals s

M. Tan, I. W. Tsang, L. Wang

IEEE Trans. Signal Processing 63(3) 2014

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Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary

M. Tan, I. W. Tsang, L. Wang

IEEE Trans. Signal Processing 63(3) 2014

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A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data

Marcus Chen, Ivor W. Tsang, Mingkui Tan, and Tat Jen Cham

IEEE Trans. Knowl. Data Eng. 27(6) 2014

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Towards ultrahigh dimensional feature selection for big data

Mingkui Tan, Ivor W. Tsang, Li Wang

Journal of Machine Learning Research 15(1) 2014

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2013

Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection

Mingkui Tan, Ivor W. Tsang, and Li Wang

IEEE Trans. Neural Netw. Learning Syst. 24(10) 2013

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2012

Graph embedding based feature selection

Dan Wei, Shutao Li, Mingkui Tan

Neurocomputing 93 2012

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2011

A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions

Shutao Li, Mingkui Tan, Ivor W Tsang, James Tin-Yau Kwok

IEEE Trans. Systems, Man, and Cybernetics, Part B 41(4) 2011

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2009

Gene selection and parameter determination of support vector machines based on BPSO algorithm

Shutao Li, Xixian Wu, Mingkui Tan

IJMIC 8(4) 2009

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