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2020 – today
- 2020
[j31]Yong Guo
, Jian Chen, Qing Du, Anton van den Hengel, Qinfeng Shi, Mingkui Tan:
Multi-way backpropagation for training compact deep neural networks. Neural Networks 126: 250-261 (2020)- [j30]Qi Chen, Qi Wu, Jian Chen, Qingyao Wu, Anton van den Hengel, Mingkui Tan:
Scripted Video Generation With a Bottom-Up Generative Adversarial Network. IEEE Trans. Image Process. 29: 7454-7467 (2020) - [j29]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. 29: 7834-7844 (2020) - [j28]Peihao Chen, Yang Zhang, Mingkui Tan, Hongdong Xiao, Deng Huang, Chuang Gan:
Generating Visually Aligned Sound From Videos. IEEE Trans. Image Process. 29: 8292-8302 (2020) - [j27]Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang:
Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. IEEE Trans. Knowl. Data Eng. 32(2): 288-301 (2020) - [j26]Wenhe Liu, Dong Gong, Mingkui Tan, Qinfeng (Javen) Shi, Yi Yang, Alexander G. Hauptmann:
Learning Distilled Graph for Large-Scale Social Network Data Clustering. IEEE Trans. Knowl. Data Eng. 32(7): 1393-1404 (2020) - [j25]Peihao Chen, Chuang Gan, Guangyao Shen, Wenbing Huang, Runhao Zeng, Mingkui Tan:
Relation Attention for Temporal Action Localization. IEEE Trans. Multim. 22(10): 2723-2733 (2020) - [c59]Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian:
Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations. AAAI 2020: 6591-6598 - [c58]Deng Huang, Peihao Chen, Runhao Zeng, Qing Du, Mingkui Tan, Chuang Gan:
Location-Aware Graph Convolutional Networks for Video Question Answering. AAAI 2020: 11021-11028 - [c57]Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Neural Networks With a Full-Precision Auxiliary Module. CVPR 2020: 1485-1494 - [c56]Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan:
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution. CVPR 2020: 5406-5415 - [c55]Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan:
Dense Regression Network for Video Grounding. CVPR 2020: 10284-10293 - [c54]Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan:
Intelligent Home 3D: Automatic 3D-House Design From Linguistic Descriptions Only. CVPR 2020: 12622-12631 - [c53]Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan:
Generative Low-Bitwidth Data Free Quantization. ECCV (12) 2020: 1-17 - [c52]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu:
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification. IJCAI 2020: 898-905 - [c51]Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan:
Relation-Aware Transformer for Portfolio Policy Learning. IJCAI 2020: 4647-4653 - [c50]Shihao Zhang, Huazhu Fu, Yanwu Xu, Yanxia Liu, Mingkui Tan:
Retinal Image Segmentation with a Structure-Texture Demixing Network. MICCAI (5) 2020: 765-774 - [c49]Lechun Zhang, Guangyao Chen, Yemin Shi, Quan Zhang, Mingkui Tan, Yaowei Wang, Yonghong Tian, Tiejun Huang:
Anonymous Model Pruning for Compressing Deep Neural Networks. MIPR 2020: 157-160 - [c48]Lizhao Liu, Junyi Cao, Minqian Liu, Yong Guo, Qi Chen, Mingkui Tan:
Dynamic Extension Nets for Few-shot Semantic Segmentation. ACM Multimedia 2020: 1441-1449 - [c47]Haoming Xu, Runhao Zeng, Qingyao Wu, Mingkui Tan, Chuang Gan:
Cross-Modal Relation-Aware Networks for Audio-Visual Event Localization. ACM Multimedia 2020: 3893-3901 - [c46]Fen Liu, Guanghui Xu, Qi Wu, Qing Du, Wei Jia, Mingkui Tan:
Cascade Reasoning Network for Text-based Visual Question Answering. ACM Multimedia 2020: 4060-4069 - [i50]Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan:
Discrimination-aware Network Pruning for Deep Model Compression. CoRR abs/2001.01050 (2020) - [i49]Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Joint Wasserstein Distribution Matching. CoRR abs/2003.00389 (2020) - [i48]Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan:
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only. CoRR abs/2003.00397 (2020) - [i47]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. CoRR abs/2003.03051 (2020) - [i46]Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan:
Generative Low-bitwidth Data Free Quantization. CoRR abs/2003.03603 (2020) - [i45]Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan:
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution. CoRR abs/2003.07018 (2020) - [i44]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Disturbance-immune Weight Sharing for Neural Architecture Search. CoRR abs/2003.13089 (2020) - [i43]Chendi Rao, Jiezhang Cao, Runhao Zeng, Qi Chen, Huazhu Fu, Yanwu Xu, Mingkui Tan:
A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays. CoRR abs/2003.13969 (2020) - [i42]Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan:
Dense Regression Network for Video Grounding. CoRR abs/2004.03545 (2020) - [i41]Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan:
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR abs/2005.01577 (2020) - [i40]Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Huaying Hao, Jiang Liu, Yan Kong, Yongyong Ren, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. CoRR abs/2005.02258 (2020) - [i39]Kun Liu, Wu Liu, Huadong Ma, Mingkui Tan, Chuang Gan:
A Real-time Action Representation with Temporal Encoding and Deep Compression. CoRR abs/2006.09675 (2020) - [i38]Jing Liu, Bohan Zhuang, Peng Chen, Mingkui Tan, Chunhua Shen:
AQD: Towards Accurate Quantized Object Detection. CoRR abs/2007.06919 (2020) - [i37]Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. CoRR abs/2007.07197 (2020) - [i36]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/2007.07222 (2020) - [i35]Chaorui Deng, Ning Ding, Mingkui Tan, Qi Wu:
Length-Controllable Image Captioning. CoRR abs/2007.09580 (2020) - [i34]Shihao Zhang, Huazhu Fu, Yanwu Xu, Yanxia Liu, Mingkui Tan:
Retinal Image Segmentation with a Structure-Texture Demixing Network. CoRR abs/2008.00817 (2020) - [i33]Peihao Chen, Yang Zhang, Mingkui Tan, Hongdong Xiao, Deng Huang, Chuang Gan:
Generating Visually Aligned Sound from Videos. CoRR abs/2008.00820 (2020) - [i32]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks with Local Coordinate Coding. CoRR abs/2008.00942 (2020) - [i31]Jiapeng Tang, Xiaoguang Han, Mingkui Tan, Xin Tong, Kui Jia:
SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images. CoRR abs/2008.05742 (2020) - [i30]Deng Huang, Peihao Chen, Runhao Zeng, Qing Du, Mingkui Tan, Chuang Gan:
Location-aware Graph Convolutional Networks for Video Question Answering. CoRR abs/2008.09105 (2020) - [i29]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu:
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification. CoRR abs/2008.09435 (2020) - [i28]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Bin Hu, Xinwang Liu:
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification. CoRR abs/2009.03671 (2020) - [i27]Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan:
Double Forward Propagation for Memorized Batch Normalization. CoRR abs/2010.04947 (2020)
2010 – 2019
- 2019
- [j24]Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan:
Multi-class Heterogeneous Domain Adaptation. J. Mach. Learn. Res. 20: 57:1-57:31 (2019) - [j23]Xuanyi Dong, Yan Yan, Mingkui Tan, Yi Yang, Ivor W. Tsang:
Late Fusion via Subspace Search With Consistency Preservation. IEEE Trans. Image Process. 28(1): 518-528 (2019) - [j22]Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution. IEEE Trans. Image Process. 28(4): 1851-1865 (2019) - [j21]Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao:
Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers. IEEE Trans. Image Process. 28(10): 5121-5134 (2019) - [j20]Runhao Zeng, Chuang Gan, Peihao Chen, Wenbing Huang, Qingyao Wu, Mingkui Tan:
Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization. IEEE Trans. Image Process. 28(12): 5797-5808 (2019) - [j19]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-Sensitive Online Classification. IEEE Trans. Knowl. Data Eng. 31(2): 214-228 (2019) - [j18]Fan Lyu, Qi Wu, Fuyuan Hu, Qingyao Wu, Mingkui Tan:
Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks. IEEE Trans. Multim. 21(8): 1971-1981 (2019) - [j17]Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis. IEEE Trans. Multim. 21(11): 2726-2737 (2019) - [c45]Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu:
Oversampling for Imbalanced Data via Optimal Transport. AAAI 2019: 5605-5612 - [c44]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CVPR 2019: 413-422 - [c43]Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan:
Domain-Symmetric Networks for Adversarial Domain Adaptation. CVPR 2019: 5031-5040 - [c42]Jingwen Wang, Yuguang Yan, Yanwu Xu, Wei Zhao, Huaqing Min, Mingkui Tan, Jiang Liu:
Conditional Adversarial Transfer for Glaucoma Diagnosis. EMBC 2019: 2032-2035 - [c41]Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang:
Graph Convolutional Networks for Temporal Action Localization. ICCV 2019: 7093-7102 - [c40]Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan, Jiang Liu:
Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries. OMIA@MICCAI 2019: 43-51 - [c39]Pengshuai Yin, Qingyao Wu, Yanwu Xu, Huaqing Min, Ming Yang, Yubing Zhang, Mingkui Tan:
PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation. MICCAI (1) 2019: 129-137 - [c38]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, Junzhou Huang:
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) 2019: 360-368 - [c37]Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu:
Attention Guided Network for Retinal Image Segmentation. MICCAI (1) 2019: 797-805 - [c36]Guangyao Shen, Wenbing Huang, Chuang Gan, Mingkui Tan, Junzhou Huang, Wenwu Zhu, Boqing Gong:
Facial Image-to-Video Translation by a Hidden Affine Transformation. ACM Multimedia 2019: 2505-2513 - [c35]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. NeurIPS 2019: 735-747 - [c34]Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan:
Multi-marginal Wasserstein GAN. NeurIPS 2019: 1774-1784 - [i26]Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Network with Auxiliary Gradient Module. CoRR abs/1903.11236 (2019) - [i25]Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. CoRR abs/1903.11250 (2019) - [i24]Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan:
Domain-Symmetric Networks for Adversarial Domain Adaptation. CoRR abs/1904.04663 (2019) - [i23]Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao:
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers. CoRR abs/1904.11151 (2019) - [i22]Fengda Zhu, Xiaojun Chang, Runhao Zeng, Mingkui Tan:
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction. CoRR abs/1906.09205 (2019) - [i21]Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu:
Attention Guided Network for Retinal Image Segmentation. CoRR abs/1907.12930 (2019) - [i20]Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian D. Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. CoRR abs/1908.04680 (2019) - [i19]Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao:
Deep High-Resolution Representation Learning for Visual Recognition. CoRR abs/1908.07919 (2019) - [i18]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Networks for Temporal Action Localization. CoRR abs/1909.03252 (2019) - [i17]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Image Recognition. CoRR abs/1909.09934 (2019) - [i16]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. CoRR abs/1910.14488 (2019) - [i15]Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan:
Multi-marginal Wasserstein GAN. CoRR abs/1911.00888 (2019) - [i14]Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/1911.07293 (2019) - [i13]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR abs/1911.07498 (2019) - 2018
- [j16]Lina Yao, Quan Z. Sheng, Xue Li, Tao Gu, Mingkui Tan, Xianzhi Wang, Sen Wang, Wenjie Ruan:
Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength. IEEE Trans. Mob. Comput. 17(2): 293-306 (2018) - [j15]Yuguang Yan, Qingyao Wu, Mingkui Tan, Michael K. Ng, Huaqing Min, Ivor W. Tsang:
Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3252-3263 (2018) - [c33]Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan:
Double Forward Propagation for Memorized Batch Normalization. AAAI 2018: 3134-3141 - [c32]Kun Liu, Wu Liu, Chuang Gan, Mingkui Tan, Huadong Ma:
T-C3D: Temporal Convolutional 3D Network for Real-Time Action Recognition. AAAI 2018: 7138-7145 - [c31]Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu:
Cartoon-to-Photo Facial Translation with Generative Adversarial Networks. ACML 2018: 566-581 - [c30]Yongliang Chen, Jinghui Zhong, Mingkui Tan:
A Fast Memetic Multi-Objective Differential Evolution for Multi-Tasking Optimization. CEC 2018: 1-8 - [c29]Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan:
Visual Grounding via Accumulated Attention. CVPR 2018: 7746-7755 - [c28]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Towards Effective Low-Bitwidth Convolutional Neural Networks. CVPR 2018: 7920-7928 - [c27]Yongliang Chen, Jinghui Zhong, Mingkui Tan:
Comprehensive Learning Gene Expression Programming for Automatic Implicit Equation Discovery. ICCS (1) 2018: 114-128 - [c26]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Adversarial Learning with Local Coordinate Coding. ICML 2018: 706-714 - [c25]Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu:
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. IJCAI 2018: 2969-2975 - [c24]Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang:
Multi-modality Sensor Data Classification with Selective Attention. IJCAI 2018: 3111-3117 - [c23]Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan:
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. KDD 2018: 2768-2777 - [c22]Xu Sun, Yanwu Xu, Mingkui Tan, Huazhu Fu, Wei Zhao, Tianyuan You, Jiang Liu:
Localizing Optic Disc and Cup for Glaucoma Screening via Deep Object Detection Networks. COMPAY/OMIA@MICCAI 2018: 236-244 - [c21]Pengshuai Yin, Mingkui Tan, Huaqing Min, Yanwu Xu, Guanghui Xu, Qingyao Wu, Yunfei Tong, Risa Higashita, Jiang Liu:
Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images. COMPAY/OMIA@MICCAI 2018: 269-276 - [c20]Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu:
Discrimination-aware Channel Pruning for Deep Neural Networks. NeurIPS 2018: 883-894 - [i12]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-sensitive Online Classification. CoRR abs/1804.02246 (2018) - [i11]Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang:
Multi-modality Sensor Data Classification with Selective Attention. CoRR abs/1804.05493 (2018) - [i10]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Adversarial Learning with Local Coordinate Coding. CoRR abs/1806.04895 (2018) - [i9]Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, Jiezhang Cao, Peilin Zhao, Mingkui Tan:
Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss. CoRR abs/1809.07099 (2018) - [i8]Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution. CoRR abs/1810.05438 (2018) - [i7]Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu:
Discrimination-aware Channel Pruning for Deep Neural Networks. CoRR abs/1810.11809 (2018) - [i6]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CoRR abs/1811.10413 (2018) - 2017
- [j14]Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao:
Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. IEEE Trans. Knowl. Data Eng. 29(7): 1494-1507 (2017) - [c19]Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. AAAI 2017: 1934-1940 - [c18]Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan:
On the Flatness of Loss Surface for Two-layered ReLU Networks. ACML 2017: 545-560 - [c17]Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
Self-Paced Kernel Estimation for Robust Blind Image Deblurring. ICCV 2017: 1670-1679 - [c16]Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen:
Tensor Based Relations Ranking for Multi-relational Collective Classification. ICDM 2017: 901-906 - [c15]Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu:
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. IJCAI 2017: 3252-3258 - [i5]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Towards Effective Low-bitwidth Convolutional Neural Networks. CoRR abs/1711.00205 (2017) - 2016
- [j13]Qingyao Wu, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng:
ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 28(10): 2665-2680 (2016) - [j12]Shijie Xiao, Mingkui Tan, Dong Xu, Zhao Yang Dong:
Robust Kernel Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2268-2281 (2016) - [c14]Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi:
Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. AAAI 2016: 2080-2086 - [c13]Wei Emma Zhang, Mingkui Tan, Quan Z. Sheng, Lina Yao, Qinfeng Shi:
Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. CIKM 2016: 1743-1752 - [c12]Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
Blind Image Deconvolution by Automatic Gradient Activation. CVPR 2016: 1827-1836 - [c11]Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, Luc Van Gool:
Fast Algorithms for Linear and Kernel SVM+. CVPR 2016: 2258-2266 - [c10]Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi:
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization. CVPR 2016: 5877-5886 - [c9]Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min:
Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers. ECCV Workshops (3) 2016: 467-474 - [i4]Yong Guo, Mingkui Tan, Qingyao Wu, Jian Chen, Anton van den Hengel, Qinfeng Shi:
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs. CoRR abs/1611.01773 (2016) - 2015
- [j11]Qingyao Wu, Mingkui Tan, Xutao Li, Huaqing Min, Ning Sun:
NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification. Knowl. Based Syst. 89: 160-172 (2015) - [j10]Marcus Chen, Ivor W. Tsang, Mingkui Tan, Cham Tat Jen:
A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data. IEEE Trans. Knowl. Data Eng. 27(6): 1465-1477 (2015) - [j9]Mingkui Tan, Ivor W. Tsang, Li Wang:
Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary. IEEE Trans. Signal Process. 63(3): 727-741 (2015) - [j8]Mingkui Tan, Ivor W. Tsang, Li Wang:
Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals. IEEE Trans. Signal Process. 63(3): 742-753 (2015) - [c8]