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2020 – today
- 2024
[j74]Daiyuan Li, Guo Chen, Xixian Wu, Zitong Yu, Mingkui Tan
:
Face anti-spoofing with cross-stage relation enhancement and spoof material perception. Neural Networks 175: 106275 (2024)- [j73]Ning Ding, Chaorui Deng, Mingkui Tan, Qing Du, Zhiwei Ge, Qi Wu:
Image Captioning With Controllable and Adaptive Length Levels. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 764-779 (2024) - [j72]Mingkui Tan, Zhuangwei Zhuang, Sitao Chen, Rong Li, Kui Jia, Qicheng Wang, Yuanqing Li:
EPMF: Efficient Perception-Aware Multi-Sensor Fusion for 3D Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8258-8273 (2024) - [j71]Yong Guo, Mingkui Tan, Zeshuai Deng, Jingdong Wang, Qi Chen, Jiezhang Cao, Yanwu Xu, Jian Chen:
Towards Lightweight Super-Resolution With Dual Regression Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8365-8379 (2024) - [j70]Hui Luo, Zhuangwei Zhuang, Yuanqing Li, Mingkui Tan, Cen Chen, Jianlin Zhang:
Toward Compact and Robust Model Learning Under Dynamically Perturbed Environments. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4857-4873 (2024) - [j69]Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, James Tin-Yau Kwok, Mingkui Tan:
Automated Dominative Subspace Mining for Efficient Neural Architecture Search. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9281-9297 (2024) - [j68]Hui Luo, Shuhai Zhang, Zhuangwei Zhuang, Jiajie Mai, Mingkui Tan, Jianlin Zhang:
Learning to Generate Diverse Data From a Temporal Perspective for Data-Free Quantization. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9484-9498 (2024) - [j67]Jinghui Zeng, Yucheng Li, Chen Xu, Shutao Li, Mingkui Tan:
Variable-Frequency Phase Unwrapping for High-Speed 3-D Shape Measurement. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j66]Angfan Zhu, Yang Xiao, Chengxin Liu, Mingkui Tan, Zhiguo Cao:
Lightweight LiDAR-Camera Alignment With Homogeneous Local-Global Aware Representation. IEEE Trans. Intell. Transp. Syst. 25(11): 15922-15933 (2024) - [j65]Junde Wu, Yu Zhang, Huihui Fang, Lixin Duan, Mingkui Tan, Weihua Yang, Chunhui Wang, Huiying Liu, Yueming Jin, Yanwu Xu:
Calibrate the Inter-Observer Segmentation Uncertainty via Diagnosis-First Principle. IEEE Trans. Medical Imaging 43(9): 3331-3342 (2024) - [j64]Senmao Ye, Huan Wang, Mingkui Tan, Fei Liu:
Recurrent Affine Transformation for Text-to-Image Synthesis. IEEE Trans. Multim. 26: 462-473 (2024) - [j63]Zhiquan Wen, Shuaicheng Niu, Ge Li, Qingyao Wu, Mingkui Tan, Qi Wu:
Test-Time Model Adaptation for Visual Question Answering With Debiased Self-Supervisions. IEEE Trans. Multim. 26: 2137-2147 (2024) - [j62]Mingkui Tan, Zhiquan Wen, Leyuan Fang, Qi Wu:
Transformer-Based Relational Inference Network for Complex Visual Relational Reasoning. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 10:1-10:23 (2024) - [c105]Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang:
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. LREC/COLING 2024: 773-783 - [c104]Zixiong Huang, Qi Chen, Libo Sun, Yifan Yang, Naizhou Wang, Qi Wu, Mingkui Tan:
G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images. CVPR 2024: 10117-10126 - [c103]Yifan Yang, Dong Liu, Shuhai Zhang, Zeshuai Deng, Zixiong Huang, Mingkui Tan:
HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models. CVPR 2024: 10671-10681 - [c102]Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan:
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation. ICLR 2024 - [c101]Shuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li, Bo Han, Mingkui Tan:
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy. ICLR 2024 - [c100]Guohao Chen, Shuaicheng Niu, Deyu Chen, Shuhai Zhang, Changsheng Li, Yuanqing Li, Mingkui Tan:
Cross-Device Collaborative Test-Time Adaptation. NeurIPS 2024 - [i115]Guowei Wang, Changxing Ding, Wentao Tan, Mingkui Tan:
Decoupled Prototype Learning for Reliable Test-Time Adaptation. CoRR abs/2401.08703 (2024) - [i114]Shuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li, Bo Han, Mingkui Tan:
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy. CoRR abs/2402.16041 (2024) - [i113]Yaofo Chen, Shuaicheng Niu, Shoukai Xu, Hengjie Song, Yaowei Wang, Mingkui Tan:
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation. CoRR abs/2402.17316 (2024) - [i112]Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu:
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting. CoRR abs/2403.11491 (2024) - [i111]Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang, Wei Lin:
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. CoRR abs/2403.12582 (2024) - [i110]Yifan Yang, Dong Liu, Shuhai Zhang, Zeshuai Deng, Zixiong Huang, Mingkui Tan:
HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models. CoRR abs/2404.04876 (2024) - [i109]Zixiong Huang, Qi Chen, Libo Sun, Yifan Yang, Naizhou Wang, Mingkui Tan, Qi Wu:
G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images. CoRR abs/2404.07474 (2024) - [i108]Diwei Huang, Kunyang Lin, Peihao Chen, Qing Du, Mingkui Tan:
MAGIC: Map-Guided Few-Shot Audio-Visual Acoustics Modeling. CoRR abs/2405.13860 (2024) - [i107]Changhao Li, Xinyu Sun, Peihao Chen, Jugang Fan, Zixu Wang, Yanxia Liu, Jin-Hui Zhu, Chuang Gan, Mingkui Tan:
CoNav: A Benchmark for Human-Centered Collaborative Navigation. CoRR abs/2406.02425 (2024) - [i106]Yanyuan Qiao, Wenqi Lyu, Hui Wang, Zixu Wang, Zerui Li, Yuan Zhang, Mingkui Tan, Qi Wu:
Open-Nav: Exploring Zero-Shot Vision-and-Language Navigation in Continuous Environment with Open-Source LLMs. CoRR abs/2409.18794 (2024) - [i105]Zhuangwei Zhuang, Ziyin Wang, Sitao Chen, Lizhao Liu, Hui Luo, Mingkui Tan:
Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial Transformation. CoRR abs/2411.12177 (2024) - [i104]Haowei Sun, Jinwu Hu, Zhirui Zhang, Haoyuan Tian, Xinze Xie, Yufeng Wang, Zhuliang Yu, Xiaohua Xie, Mingkui Tan:
A Cross-Scene Benchmark for Open-World Drone Active Tracking. CoRR abs/2412.00744 (2024) - [i103]Zhuokun Chen, Jinwu Hu, Zeshuai Deng, Yufeng Wang, Bohan Zhuang, Mingkui Tan:
Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion. CoRR abs/2412.01289 (2024) - [i102]Hongyan Zhi, Peihao Chen, Junyan Li, Shuailei Ma, Xinyu Sun, Tianhang Xiang, Yinjie Lei, Mingkui Tan, Chuang Gan:
LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences. CoRR abs/2412.01292 (2024) - [i101]Zeng You, Zhiquan Wen, Yaofo Chen, Xin Li, Runhao Zeng, Yaowei Wang, Mingkui Tan:
Towards Long Video Understanding via Fine-detailed Video Story Generation. CoRR abs/2412.06182 (2024) - [i100]Jinwu Hu, Yufeng Wang, Shuhai Zhang, Kai Zhou, Guohao Chen, Yu Hu, Bin Xiao, Mingkui Tan:
Dynamic Ensemble Reasoning for LLM Experts. CoRR abs/2412.07448 (2024) - [i99]Shuhai Zhang, Jiahao Yang, Hui Luo, Jie Chen, Li Wang, Feng Liu, Bo Han, Mingkui Tan:
Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds. CoRR abs/2412.08394 (2024) - [i98]Yaofo Chen, Zeng You, Shuhai Zhang, Haokun Li, Yirui Li, Yaowei Wang, Mingkui Tan:
Core Context Aware Attention for Long Context Language Modeling. CoRR abs/2412.12465 (2024) - [i97]Haifeng Lu, Jiuyi Chen, Feng Liang, Mingkui Tan, Runhao Zeng, Xiping Hu:
Understanding Emotional Body Expressions via Large Language Models. CoRR abs/2412.12581 (2024) - [i96]Qianyue Wang, Jinwu Hu, Zhengping Li, Yufeng Wang, daiyuan li, Yu Hu, Mingkui Tan:
Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement. CoRR abs/2412.13575 (2024) - 2023
- [j61]Zuxiang Long, Fuyan Ma, Bin Sun, Mingkui Tan, Shutao Li:
Diversified branch fusion for self-knowledge distillation. Inf. Fusion 90: 12-22 (2023) - [j60]Jincheng Li, Shuhai Zhang, Jiezhang Cao, Mingkui Tan:
Learning defense transformations for counterattacking adversarial examples. Neural Networks 164: 177-185 (2023) - [j59]Jing Liu, Bohan Zhuang, Peng Chen, Chunhua Shen, Jianfei Cai, Mingkui Tan:
Single-Path Bit Sharing for Automatic Loss-Aware Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12459-12473 (2023) - [j58]Shoukai Xu, Shuhai Zhang, Jing Liu, Bohan Zhuang, Yaowei Wang, Mingkui Tan:
Generative Data Free Model Quantization With Knowledge Matching for Classification. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7296-7309 (2023) - [j57]Xianghui Ruan, Meng Dai, Zhuokun Chen, Zeng You, Yaowen Zhang, Yuanqing Li, Zulin Dou, Mingkui Tan:
Temporal Micro-Action Localization for Videofluoroscopic Swallowing Study. IEEE J. Biomed. Health Informatics 27(12): 5904-5913 (2023) - [c99]Zhiquan Wen, Yaowei Wang, Mingkui Tan, Qingyao Wu, Qi Wu:
Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering. ACL (Findings) 2023: 6910-6928 - [c98]Xinyu Sun, Peihao Chen, Liangwei Chen, Changhao Li, Thomas H. Li, Mingkui Tan, Chuang Gan:
Masked Motion Encoding for Self-Supervised Video Representation Learning. CVPR 2023: 2235-2245 - [c97]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan:
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CVPR Workshops 2023: 2248-2258 - [c96]Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan:
Hard Sample Matters a Lot in Zero-Shot Quantization. CVPR 2023: 24417-24426 - [c95]Kunyang Lin, Peihao Chen, Diwei Huang, Thomas H. Li, Mingkui Tan, Chuang Gan:
Learning Vision-and-Language Navigation from YouTube Videos. ICCV 2023: 8283-8292 - [c94]Yifan Yang, Shuhai Zhang, Zixiong Huang, Yubing Zhang, Mingkui Tan:
Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained Image Collections. ICCV 2023: 15855-15865 - [c93]Lizhao Liu, Zhuangwei Zhuang, Shangxin Huang, Xunlong Xiao, Tianhang Xiang, Cen Chen, Jingdong Wang, Mingkui Tan:
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation. ICCV 2023: 18367-18376 - [c92]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). ICDE 2023: 3771-3772 - [c91]Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract. ICDE 2023: 3885-3886 - [c90]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan:
Towards Stable Test-time Adaptation in Dynamic Wild World. ICLR 2023 - [c89]Shuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han, Mingkui Tan:
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score. ICML 2023: 41429-41451 - [c88]Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan:
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction. NeurIPS 2023 - [c87]Xinyu Sun, Peihao Chen, Jugang Fan, Jian Chen, Thomas H. Li, Mingkui Tan:
FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation. NeurIPS 2023 - [i95]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan:
Towards Stable Test-Time Adaptation in Dynamic Wild World. CoRR abs/2302.12400 (2023) - [i94]Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan:
Hard Sample Matters a Lot in Zero-Shot Quantization. CoRR abs/2303.13826 (2023) - [i93]Shoukai Xu, Jiangchao Yao, Ran Luo, Shuhai Zhang, Zihao Lian, Mingkui Tan, Yaowei Wang:
Towards Efficient Task-Driven Model Reprogramming with Foundation Models. CoRR abs/2304.02263 (2023) - [i92]Hongbin Lin, Mingkui Tan, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Dong Liu, Qing Du, Yanxia Liu:
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment. CoRR abs/2305.12649 (2023) - [i91]Shuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han, Mingkui Tan:
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score. CoRR abs/2305.16035 (2023) - [i90]Yifan Yang, Shuhai Zhang, Zixiong Huang, Yubing Zhang, Mingkui Tan:
Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained Image Collections. CoRR abs/2307.08093 (2023) - [i89]Lizhao Liu, Zhuangwei Zhuang, Shangxin Huang, Xunlong Xiao, Tianhang Xiang, Cen Chen, Jingdong Wang, Mingkui Tan:
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation. CoRR abs/2307.10316 (2023) - [i88]Kunyang Lin, Peihao Chen, Diwei Huang, Thomas H. Li, Mingkui Tan, Chuang Gan:
Learning Vision-and-Language Navigation from YouTube Videos. CoRR abs/2307.11984 (2023) - [i87]Peihao Chen, Xinyu Sun, Hongyan Zhi, Runhao Zeng, Thomas H. Li, Gaowen Liu, Mingkui Tan, Chuang Gan:
A2Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models. CoRR abs/2308.07997 (2023) - [i86]Qi Chen, Chaorui Deng, Zixiong Huang, Bowen Zhang, Mingkui Tan, Qi Wu:
Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit Assignment. CoRR abs/2308.08525 (2023) - [i85]Xinyu Sun, Peihao Chen, Jugang Fan, Thomas H. Li, Jian Chen, Mingkui Tan:
FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation. CoRR abs/2310.07473 (2023) - [i84]Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan:
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction. CoRR abs/2310.19011 (2023) - [i83]Lizhao Liu, Xinyu Sun, Tianhang Xiang, Zhuangwei Zhuang, Liuren Yin, Mingkui Tan:
Contrastive Vision-Language Alignment Makes Efficient Instruction Learner. CoRR abs/2311.17945 (2023) - [i82]Kunyang Lin, Yufeng Wang, Peihao Chen, Runhao Zeng, Siyuan Zhou, Mingkui Tan, Chuang Gan:
DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement Learning. CoRR abs/2312.05783 (2023) - 2022
- [j56]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Peng Chen, Lingqiao Liu, Ian Reid:
Structured Binary Neural Networks for Image Recognition. Int. J. Comput. Vis. 130(9): 2081-2102 (2022) - [j55]Jiezhang Cao, Jincheng Li, Xiping Hu, Xiangmiao Wu, Mingkui Tan:
Towards interpreting deep neural networks via layer behavior understanding. Mach. Learn. 111(3): 1159-1179 (2022) - [j54]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks With Local Coordinate Coding. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 211-227 (2022) - [j53]Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan:
Visual Grounding Via Accumulated Attention. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1670-1684 (2022) - [j52]Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan:
Discrimination-Aware Network Pruning for Deep Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4035-4051 (2022) - [j51]Bohan Zhuang, Mingkui Tan, Jing Liu, Lingqiao Liu, Ian Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6140-6152 (2022) - [j50]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6209-6223 (2022) - [j49]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. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6454-6471 (2022) - [j48]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang:
Towards Accurate and Compact Architectures via Neural Architecture Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6501-6516 (2022) - [j47]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Xinwang Liu, Bin Hu:
A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6649-6666 (2022) - [j46]Jinghui Zeng, Wenxin Ma, Wei Jia, Yucheng Li, Haowen Li, Xuewen Liu, Mingkui Tan:
Self-Unwrapping Phase-Shifting for Fast and Accurate 3-D Shape Measurement. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j45]Xingxin He, Leyuan Fang, Mingkui Tan, Xiangdong Chen:
Intra- and Inter-Slice Contrastive Learning for Point Supervised OCT Fluid Segmentation. IEEE Trans. Image Process. 31: 1870-1881 (2022) - [j44]Mingkui Tan, Gengqin Ni, Xu Liu, Shiliang Zhang, Xiangmiao Wu, Yaowei Wang, Runhao Zeng:
Bidirectional Posture-Appearance Interaction Network for Driver Behavior Recognition. IEEE Trans. Intell. Transp. Syst. 23(8): 13242-13254 (2022) - [j43]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 34(1): 236-248 (2022) - [j42]Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification. IEEE Trans. Knowl. Data Eng. 34(9): 4063-4076 (2022) - [j41]Zhuoman Liu, Wei Jia, Ming Yang, Peiyao Luo, Yong Guo, Mingkui Tan:
Deep View Synthesis via Self-Consistent Generative Network. IEEE Trans. Multim. 24: 451-465 (2022) - [j40]Shaoshuai Ding, Lei Yang, Jiannong Cao, Wei Cai, Mingkui Tan, Zhenyu Wang:
Partitioning Stateful Data Stream Applications in Dynamic Edge Cloud Environments. IEEE Trans. Serv. Comput. 15(4): 2368-2381 (2022) - [c86]Langyuan Mo, Haokun Li, Chaoyang Zou, Yubing Zhang, Ming Yang, Yihong Yang, Mingkui Tan:
Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints. AAAI 2022: 1981-1989 - [c85]Qi Chen, Mingkui Tan, Yuankai Qi, Jiaqiu Zhou, Yuanqing Li, Qi Wu:
V2C: Visual Voice Cloning. CVPR 2022: 21210-21219 - [c84]Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan:
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation. ECCV (33) 2022: 351-368 - [c83]Lizhao Liu, Shangxin Huang, Zhuangwei Zhuang, Ran Yang, Mingkui Tan, Yaowei Wang:
DAS: Densely-Anchored Sampling for Deep Metric Learning. ECCV (26) 2022: 399-417 - [c82]Haokun Li, Jing Liu, Liancheng Jia, Yun Liang, Yaowei Wang, Mingkui Tan:
Downscaling and Overflow-aware Model Compression for Efficient Vision Processors. ICDCS Workshops 2022: 145-150 - [c81]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan:
Efficient Test-Time Model Adaptation without Forgetting. ICML 2022: 16888-16905 - [c80]Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas H. Li, Mingkui Tan, Chuang Gan:
Learning Active Camera for Multi-Object Navigation. NeurIPS 2022 - [c79]Peihao Chen, Dongyu Ji, Kunyang Lin, Runhao Zeng, Thomas H. Li, Mingkui Tan, Chuang Gan:
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation. NeurIPS 2022 - [c78]Zhen Qiu, Yifan Zhang, Fei Li, Xiulan Zhang, Yanwu Xu, Mingkui Tan:
Multi-scale Multi-target Domain Adaptation for Angle Closure Classification. PRCV (2) 2022: 77-88 - [i81]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan:
Boost Test-Time Performance with Closed-Loop Inference. CoRR abs/2203.10853 (2022) - [i80]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan:
Efficient Test-Time Model Adaptation without Forgetting. CoRR abs/2204.02610 (2022) - [i79]Yong Guo, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Jian Chen, Mingkui Tan:
Towards Lightweight Super-Resolution with Dual Regression Learning. CoRR abs/2207.07929 (2022) - [i78]Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan:
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation. CoRR abs/2207.10856 (2022) - [i77]Lizhao Liu, Shangxin Huang, Zhuangwei Zhuang, Ran Yang, Mingkui Tan, Yaowei Wang:
DAS: Densely-Anchored Sampling for Deep Metric Learning. CoRR abs/2208.00119 (2022) - [i76]Junde Wu, Huihui Fang, Haoyi Xiong, Lixin Duan, Mingkui Tan, Weihua Yang, Huiying Liu, Yanwu Xu:
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle. CoRR abs/2208.03016 (2022) - [i75]Zhen Qiu, Yifan Zhang, Fei Li, Xiulan Zhang, Yanwu Xu, Mingkui Tan:
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification. CoRR abs/2208.12157 (2022) - [i74]Xinyu Sun, Peihao Chen, Liangwei Chen, Thomas H. Li, Mingkui Tan, Chuang Gan:
M3Video: Masked Motion Modeling for Self-Supervised Video Representation Learning. CoRR abs/2210.06096 (2022) - [i73]Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas H. Li, Mingkui Tan, Chuang Gan:
Learning Active Camera for Multi-Object Navigation. CoRR abs/2210.07505 (2022) - [i72]Peihao Chen, Dongyu Ji, Kunyang Lin, Runhao Zeng, Thomas H. Li, Mingkui Tan, Chuang Gan:
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation. CoRR abs/2210.07506 (2022) - [i71]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CoRR abs/2210.07634 (2022) - [i70]Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, Mingkui Tan:
Automatic Subspace Evoking for Efficient Neural Architecture Search. CoRR abs/2210.17180 (2022) - 2021
- [j39]Zheng Xie, Zhiquan Wen, Yaowei Wang, Qingyao Wu, Mingkui Tan:
Towards effective deep transfer via attentive feature alignment. Neural Networks 138: 98-109 (2021) - [j38]Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang:
Content-aware convolutional neural networks. Neural Networks 143: 657-668 (2021) - [j37]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Disturbance-immune weight sharing for neural architecture search. Neural Networks 144: 553-564 (2021) - [j36]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. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3349-3364 (2021) - [j35]Kun Liu, Wu Liu, Huadong Ma, Mingkui Tan, Chuang Gan:
A Real-Time Action Representation With Temporal Encoding and Deep Compression. IEEE Trans. Circuits Syst. Video Technol. 31(2): 647-660 (2021) - [j34]Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu:
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. IEEE Trans. Knowl. Data Eng. 33(3): 1078-1088 (2021) - [j33]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. 33(6): 2680-2692 (2021) - [c77]Peihao Chen, Deng Huang, Dongliang He, Xiang Long, Runhao Zeng, Shilei Wen, Mingkui Tan, Chuang Gan:
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning. AAAI 2021: 1045-1053 - [c76]Li Liu, Mengge He, Guanghui Xu, Mingkui Tan, Qi Wu:
How to Train Your Agent to Read and Write. AAAI 2021: 13397-13405 - [c75]Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen:
AQD: Towards Accurate Quantized Object Detection. CVPR 2021: 104-113 - [c74]Yaofo Chen, Yong Guo, Qi Chen, Minli Li, Wei Zeng, Yaowei Wang, Mingkui Tan:
Contrastive Neural Architecture Search With Neural Architecture Comparators. CVPR 2021: 9502-9511 - [c73]Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu:
Towards Accurate Text-Based Image Captioning With Content Diversity Exploration. CVPR 2021: 12637-12646 - [c72]Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia:
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks. ICCV 2021: 2763-2772 - [c71]Deng Huang, Wenhao Wu, Weiwen Hu, Xu Liu, Dongliang He, Zhihua Wu, Xiangmiao Wu, Mingkui Tan, Errui Ding:
ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency. ICCV 2021: 8076-8085 - [c70]Zhuangwei Zhuang, Rong Li, Kui Jia, Qicheng Wang, Yuanqing Li, Mingkui Tan:
Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation. ICCV 2021: 16260-16270 - [c69]Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan:
AdaXpert: Adapting Neural Architecture for Growing Data. ICML 2021: 8184-8194 - [c68]Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan:
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. IJCAI 2021: 2921-2927 - [c67]Yifan Yang, Huihui Fang, Qing Du, Fei Li, Xiulan Zhang, Mingkui Tan, Yanwu Xu:
Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition. MICCAI (8) 2021: 24-33 - [c66]Yanyuan Qiao, Qi Chen, Chaorui Deng, Ning Ding, Yuankai Qi, Mingkui Tan, Xincheng Ren, Qi Wu:
R-GAN: Exploring Human-like Way for Reasonable Text-to-Image Synthesis via Generative Adversarial Networks. ACM Multimedia 2021: 2085-2093 - [c65]Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan:
Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling. ACM Multimedia 2021: 5038-5046 - [c64]Zhiquan Wen, Guanghui Xu, Mingkui Tan, Qingyao Wu, Qi Wu:
Debiased Visual Question Answering from Feature and Sample Perspectives. NeurIPS 2021: 3784-3796 - [i69]Li Liu, Mengge He, Guanghui Xu, Mingkui Tan, Qi Wu:
How to Train Your Agent to Read and Write. CoRR abs/2101.00916 (2021) - [i68]Jing Liu, Bohan Zhuang, Peng Chen, Yong Guo, Chunhua Shen, Jianfei Cai, Mingkui Tan:
ABS: Automatic Bit Sharing for Model Compression. CoRR abs/2101.04935 (2021) - [i67]Zhuoman Liu, Wei Jia, Ming Yang, Peiyao Luo, Yong Guo, Mingkui Tan:
Deep View Synthesis via Self-Consistent Generative Network. CoRR abs/2101.10844 (2021) - [i66]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang:
Towards Accurate and Compact Architectures via Neural Architecture Transformer. CoRR abs/2102.10301 (2021) - [i65]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets. CoRR abs/2103.00219 (2021) - [i64]Yaofo Chen, Yong Guo, Qi Chen, Minli Li, Yaowei Wang, Wei Zeng, Mingkui Tan:
Contrastive Neural Architecture Search with Neural Architecture Comparators. CoRR abs/2103.05471 (2021) - [i63]Jincheng Li, Jiezhang Cao, Yifan Zhang, Jian Chen, Mingkui Tan:
Learning Defense Transformers for Counterattacking Adversarial Examples. CoRR abs/2103.07595 (2021) - [i62]Mingkui Tan, Shuhai Zhang, Jiezhang Cao, Jincheng Li, Yanwu Xu:
Internal Wasserstein Distance for Adversarial Attack and Defense. CoRR abs/2103.07598 (2021) - [i61]Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu:
Towards Accurate Text-based Image Captioning with Content Diversity Exploration. CoRR abs/2105.03236 (2021) - [i60]Deng Huang, Wenhao Wu, Weiwen Hu, Xu Liu, Dongliang He, Zhihua Wu, Xiangmiao Wu, Mingkui Tan, Errui Ding:
ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency. CoRR abs/2106.02342 (2021) - [i59]Zhuangwei Zhuang, Rong Li, Yuanqing Li, Kui Jia, Qicheng Wang, Mingkui Tan:
Perception-aware Multi-sensor Fusion for 3D LiDAR Semantic Segmentation. CoRR abs/2106.15277 (2021) - [i58]Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan:
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. CoRR abs/2106.15326 (2021) - [i57]Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang:
Content-Aware Convolutional Neural Networks. CoRR abs/2106.15797 (2021) - [i56]Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan:
AdaXpert: Adapting Neural Architecture for Growing Data. CoRR abs/2107.00254 (2021) - [i55]Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai:
Elastic Architecture Search for Diverse Tasks with Different Resources. CoRR abs/2108.01224 (2021) - [i54]Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia:
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks. CoRR abs/2108.07478 (2021) - [i53]Qi Chen, Yuanqing Li, Yuankai Qi, Jiaqiu Zhou, Mingkui Tan, Qi Wu:
V2C: Visual Voice Cloning. CoRR abs/2111.12890 (2021) - [i52]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. CoRR abs/2112.00302 (2021) - 2020
- [j32]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, Yanwu Xu:
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. Medical Image Anal. 66: 101798 (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) - [c63]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 - [c62]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 - [c61]Yihan Zheng, Zhiquan Wen, Mingkui Tan, Runhao Zeng, Qi Chen, Yaowei Wang, Qi Wu:
Modular Graph Attention Network for Complex Visual Relational Reasoning. ACCV (6) 2020: 137-153 - [c60]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 - [c59]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 - [c58]Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan:
Dense Regression Network for Video Grounding. CVPR 2020: 10284-10293 - [c57]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 - [c56]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 - [c55]Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu, Mingkui Tan:
Deep Transferring Quantization. ECCV (8) 2020: 625-642 - [c54]Chaorui Deng, Ning Ding, Mingkui Tan, Qi Wu:
Length-Controllable Image Captioning. ECCV (13) 2020: 712-729 - [c53]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. ICML 2020: 3822-3831 - [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 - [i51]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) - [i50]Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Joint Wasserstein Distribution Matching. CoRR abs/2003.00389 (2020) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]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) - [i44]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) - [i43]Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan:
Dense Regression Network for Video Grounding. CoRR abs/2004.03545 (2020) - [i42]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) - [i41]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) - [i40]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) - [i39]Jing Liu, Bohan Zhuang, Peng Chen, Mingkui Tan, Chunhua Shen:
AQD: Towards Accurate Quantized Object Detection. CoRR abs/2007.06919 (2020) - [i38]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) - [i37]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) - [i36]Chaorui Deng, Ning Ding, Mingkui Tan, Qi Wu:
Length-Controllable Image Captioning. CoRR abs/2007.09580 (2020) - [i35]Shihao Zhang, Huazhu Fu, Yanwu Xu, Yanxia Liu, Mingkui Tan:
Retinal Image Segmentation with a Structure-Texture Demixing Network. CoRR abs/2008.00817 (2020) - [i34]Peihao Chen, Yang Zhang, Mingkui Tan, Hongdong Xiao, Deng Huang, Chuang Gan:
Generating Visually Aligned Sound from Videos. CoRR abs/2008.00820 (2020) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan:
Double Forward Propagation for Memorized Batch Normalization. CoRR abs/2010.04947 (2020) - [i27]Peihao Chen, Deng Huang, Dongliang He, Xiang Long, Runhao Zeng, Shilei Wen, Mingkui Tan, Chuang Gan:
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning. CoRR abs/2011.07949 (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]Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang:
Learning graph structure for multi-label image classification via clique generation. CVPR 2015: 4100-4109 - [c7]Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Chengqi Zhang, Qinfeng Shi:
Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. IJCAI 2015: 3988-3994 - [i3]Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi:
Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient. CoRR abs/1503.02828 (2015) - 2014
- [b1]Mingkui Tan:
Towards efficient large-scale learning by exploiting sparsity. Nanyang Technological University, Singapore, 2014 - [j7]Mingkui Tan, Ivor W. Tsang, Li Wang:
Towards ultrahigh dimensional feature selection for big data. J. Mach. Learn. Res. 15(1): 1371-1429 (2014) - [c6]Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan:
Heterogeneous Domain Adaptation for Multiple Classes. AISTATS 2014: 1095-1103 - [c5]Shijie Xiao, Mingkui Tan, Dong Xu:
Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos. ECCV (6) 2014: 123-138 - [c4]Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan:
Riemannian Pursuit for Big Matrix Recovery. ICML 2014: 1539-1547 - 2013
- [j6]Mingkui Tan, Ivor W. Tsang, Li Wang:
Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 24(10): 1609-1622 (2013) - [i2]Mingkui Tan, Ivor W. Tsang, Li Wang:
Is Matching Pursuit Solving Convex Problems? CoRR abs/1302.5010 (2013) - 2012
- [j5]Dan Wei, Shutao Li, Mingkui Tan:
Graph embedding based feature selection. Neurocomputing 93: 115-125 (2012) - [c3]Mingkui Tan, Ivor W. Tsang, Li Wang, Xinming Zhang:
Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection. AAAI 2012: 1119-1125 - [c2]Yiteng Zhai, Mingkui Tan, Ivor W. Tsang, Yew-Soon Ong:
Discovering Support and Affiliated Features from Very High Dimensions. ICML 2012 - [i1]Mingkui Tan, Ivor W. Tsang, Li Wang:
Towards Large-scale and Ultrahigh Dimensional Feature Selection via Feature Generation. CoRR abs/1209.5260 (2012) - 2011
- [j4]Shutao Li, Mingkui Tan, Ivor W. Tsang, James Tin-Yau Kwok:
A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions. IEEE Trans. Syst. Man Cybern. Part B 41(4): 1003-1014 (2011) - 2010
- [j3]Shutao Li, Mingkui Tan:
Tuning SVM parameters by using a hybrid CLPSO-BFGS algorithm. Neurocomputing 73(10-12): 2089-2096 (2010) - [c1]Mingkui Tan, Li Wang, Ivor W. Tsang:
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets. ICML 2010: 1047-1054
2000 – 2009
- 2009
- [j2]Shutao Li, Xixian Wu, Mingkui Tan:
Gene selection and parameter determination of support vector machines based on BPSO algorithm. Int. J. Model. Identif. Control. 8(4): 344-352 (2009) - 2008
- [j1]Shutao Li, Xixian Wu, Mingkui Tan:
Gene selection using hybrid particle swarm optimization and genetic algorithm. Soft Comput. 12(11): 1039-1048 (2008)
Coauthor Index
Qinfeng Shi
aka: Qinfeng (Javen) Shi
aka: Qinfeng (Javen) Shi
[j63] [c99] [c92] [c91] [j54] [j53] [j43] [j42] [j39] [j34] [j33] [c65] [c64] [j30] [j29] [c47] [i48] [i42] [i37] [i33] [i28] [j20] [j18] [j17] [c45] [c40] [c39] [c38] [c37] [i25] [i21] [i14] [i13] [j15] [c33] [c31] [c29] [c26] [c25] [c23] [c21] [c20] [i10] [i7] [j14] [c18] [c16] [c15] [j13] [c9] [i4] [j11]
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