Tan, Mingkui

95 publications

ICLR 2026 ZeroSiam: An Efficient Asymmetry for Test-Time Entropy Optimization Without Collapse Guohao Chen, Shuaicheng Niu, Deyu Chen, Jiahao Yang, Zitian Zhang, Mingkui Tan, Pengcheng Wu, Zhiqi Shen

NeurIPS 2025 Continual Knowledge Adaptation for Reinforcement Learning Jinwu Hu, ZiHao Lian, Zhiquan Wen, ChenghaoLi, Guohao Chen, Xutao Wen, Bin Xiao, Mingkui Tan

ICML 2025 Core Context Aware Transformers for Long Context Language Modeling Yaofo Chen, Zeng You, Shuhai Zhang, Haokun Li, Yirui Li, Yaowei Wang, Mingkui Tan

ICML 2025 Curse of High Dimensionality Issue in Transformer for Long Context Modeling Shuhai Zhang, Zeng You, Yaofo Chen, Zhiquan Wen, Qianyue Wang, Zhijie Qiu, Yuanqing Li, Mingkui Tan

ICML 2025 Deep Electromagnetic Structure Design Under Limited Evaluation Budgets Shijian Zheng, Fangxiao Jin, Shuhai Zhang, Quan Xue, Mingkui Tan

IJCAI 2025 Efficient Dynamic Ensembling for Multiple LLM Experts Jinwu Hu, Yufeng Wang, Shuhai Zhang, Kai Zhou, Guohao Chen, Yu Hu, Bin Xiao, Mingkui Tan

IJCAI 2025 Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance Yufeng Wang, Jinwu Hu, Ziteng Huang, Kunyang Lin, Zitian Zhang, Peihao Chen, Yu Hu, Qianyue Wang, Zhuliang Yu, Bin Sun, Xiaofen Xing, Qingfang Zheng, Mingkui Tan

ICCV 2025 Frequency-Aware Autoregressive Modeling for Efficient High-Resolution Image Synthesis Zhuokun Chen, Jugang Fan, Zhuowei Yu, Bohan Zhuang, Mingkui Tan

CVPR 2025 LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences Hongyan Zhi, Peihao Chen, Junyan Li, Shuailei Ma, Xinyu Sun, Tianhang Xiang, Yinjie Lei, Mingkui Tan, Chuang Gan

NeurIPS 2025 Open-World Drone Active Tracking with Goal-Centered Rewards Haowei Sun, Jinwu Hu, Zhirui Zhang, Haoyuan Tian, Xinze Xie, Yufeng Wang, Xiaohua Xie, Yun Lin, Zhuliang Yu, Mingkui Tan

NeurIPS 2025 Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Shuhai Zhang, ZiHao Lian, Jiahao Yang, Daiyuan Li, Guoxuan Pang, Feng Liu, Bo Han, Shutao Li, Mingkui Tan

ICML 2025 Test-Time Adapted Reinforcement Learning with Action Entropy Regularization Shoukai Xu, Zihao Lian, Mingkui Tan, Liu Liu, Zhong Zhang, Peilin Zhao

ICML 2025 Test-Time Learning for Large Language Models Jinwu Hu, Zitian Zhang, Guohao Chen, Xutao Wen, Chao Shuai, Wei Luo, Bin Xiao, Yuanqing Li, Mingkui Tan

AAAI 2025 Understanding Emotional Body Expressions via Large Language Models Haifeng Lu, Jiuyi Chen, Feng Liang, Mingkui Tan, Runhao Zeng, Xiping Hu

NeurIPS 2024 Cross-Device Collaborative Test-Time Adaptation Guohao Chen, Shuaicheng Niu, Deyu Chen, Shuhai Zhang, Changsheng Li, Yuanqing Li, Mingkui Tan

ICLR 2024 Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy Shuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li, Bo Han, Mingkui Tan

CVPR 2024 G-NeRF: Geometry-Enhanced Novel View Synthesis from Single-View Images Zixiong Huang, Qi Chen, Libo Sun, Yifan Yang, Naizhou Wang, Qi Wu, Mingkui Tan

CVPR 2024 HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models Yifan Yang, Dong Liu, Shuhai Zhang, Zeshuai Deng, Zixiong Huang, Mingkui Tan

ICLR 2024 Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan

ICCV 2023 CPCM: Contextual Point Cloud Modeling for Weakly-Supervised Point Cloud Semantic Segmentation Lizhao Liu, Zhuangwei Zhuang, Shangxin Huang, Xunlong Xiao, Tianhang Xiang, Cen Chen, Jingdong Wang, Mingkui Tan

ICCV 2023 Cross-Ray Neural Radiance Fields for Novel-View Synthesis from Unconstrained Image Collections Yifan Yang, Shuhai Zhang, Zixiong Huang, Yubing Zhang, Mingkui Tan

ICML 2023 Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score Shuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han, Mingkui Tan

NeurIPS 2023 Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas Li, Bohan Zhuang, Mingkui Tan

NeurIPS 2023 FGPrompt: Fine-Grained Goal Prompting for Image-Goal Navigation Xinyu Sun, Peihao Chen, Jugang Fan, Jian Chen, Thomas Li, Mingkui Tan

CVPR 2023 Hard Sample Matters a Lot in Zero-Shot Quantization Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan

ICCV 2023 Learning Vision-and-Language Navigation from YouTube Videos Kunyang Lin, Peihao Chen, Diwei Huang, Thomas H. Li, Mingkui Tan, Chuang Gan

CVPR 2023 Masked Motion Encoding for Self-Supervised Video Representation Learning Xinyu Sun, Peihao Chen, Liangwei Chen, Changhao Li, Thomas H. Li, Mingkui Tan, Chuang Gan

CVPRW 2023 Pareto-Aware Neural Architecture Generation for Diverse Computational Budgets Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan

ICLR 2023 Towards Stable Test-Time Adaptation in Dynamic Wild World Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan

ECCV 2022 DAS: Densely-Anchored Sampling for Deep Metric Learning Lizhao Liu, Shangxin Huang, Zhuangwei Zhuang, Ran Yang, Mingkui Tan, Yaowei Wang

ICML 2022 Efficient Test-Time Model Adaptation Without Forgetting Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan

NeurIPS 2022 Learning Active Camera for Multi-Object Navigation Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas Li, Mingkui Tan, Chuang Gan

ECCV 2022 Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan

AAAI 2022 Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints Langyuan Mo, Haokun Li, Chaoyang Zou, Yubing Zhang, Ming Yang, Yihong Yang, Mingkui Tan

MLJ 2022 Towards Interpreting Deep Neural Networks via Layer Behavior Understanding Jiezhang Cao, Jincheng Li, Xiping Hu, Xiangmiao Wu, Mingkui Tan

CVPR 2022 V2C: Visual Voice Cloning Qi Chen, Mingkui Tan, Yuankai Qi, Jiaqiu Zhou, Yuanqing Li, Qi Wu

NeurIPS 2022 Weakly-Supervised Multi-Granularity mAP Learning for Vision-and-Language Navigation Peihao Chen, Dongyu Ji, Kunyang Lin, Runhao Zeng, Thomas Li, Mingkui Tan, Chuang Gan

CVPR 2021 AQD: Towards Accurate Quantized Object Detection Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen

ICCV 2021 ASCNet: Self-Supervised Video Representation Learning with Appearance-Speed Consistency Deng Huang, Wenhao Wu, Weiwen Hu, Xu Liu, Dongliang He, Zhihua Wu, Xiangmiao Wu, Mingkui Tan, Errui Ding

ICML 2021 AdaXpert: Adapting Neural Architecture for Growing Data Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan

CVPR 2021 Contrastive Neural Architecture Search with Neural Architecture Comparators Yaofo Chen, Yong Guo, Qi Chen, Minli Li, Wei Zeng, Yaowei Wang, Mingkui Tan

NeurIPS 2021 Debiased Visual Question Answering from Feature and Sample Perspectives Zhiquan Wen, Guanghui Xu, Mingkui Tan, Qingyao Wu, Qi Wu

AAAI 2021 How to Train Your Agent to Read and Write Li Liu, Mengge He, Guanghui Xu, Mingkui Tan, Qi Wu

ICCV 2021 Instance Segmentation in 3D Scenes Using Semantic Superpoint Tree Networks Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia

ICCV 2021 Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation Zhuangwei Zhuang, Rong Li, Kui Jia, Qicheng Wang, Yuanqing Li, Mingkui Tan

AAAI 2021 RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning Peihao Chen, Deng Huang, Dongliang He, Xiang Long, Runhao Zeng, Shilei Wen, Mingkui Tan, Chuang Gan

IJCAI 2021 Source-Free Domain Adaptation via Avatar Prototype Generation and Adaptation Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan

CVPR 2021 Towards Accurate Text-Based Image Captioning with Content Diversity Exploration Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu

ICML 2020 Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

CVPR 2020 Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan

ECCV 2020 Deep Transferring Quantization Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu, Mingkui Tan

CVPR 2020 Dense Regression Network for Video Grounding Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan

ECCV 2020 Generative Low-Bitwidth Data Free Quantization Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan

CVPR 2020 Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan

ECCV 2020 Length-Controllable Image Captioning Chaorui Deng, Ning Ding, Mingkui Tan, Qi Wu

AAAI 2020 Location-Aware Graph Convolutional Networks for Video Question Answering Deng Huang, Peihao Chen, Runhao Zeng, Qing Du, Mingkui Tan, Chuang Gan

IJCAI 2020 Relation-Aware Transformer for Portfolio Policy Learning Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan

IJCAI 2020 Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu

AAAI 2020 Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian

CVPR 2020 Training Quantized Neural Networks with a Full-Precision Auxiliary Module Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian Reid

CVPR 2019 Domain-Symmetric Networks for Adversarial Domain Adaptation Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan

ICCV 2019 Graph Convolutional Networks for Temporal Action Localization Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan

JMLR 2019 Multi-Class Heterogeneous Domain Adaptation Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan

NeurIPS 2019 Multi-Marginal Wasserstein GAN Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan

NeurIPS 2019 NAT: Neural Architecture Transformer for Accurate and Compact Architectures Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang

AAAI 2019 Oversampling for Imbalanced Data via Optimal Transport Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu

CVPR 2019 Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian Reid

ICML 2018 Adversarial Learning with Local Coordinate Coding Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan

ACML 2018 Cartoon-to-Photo Facial Translation with Generative Adversarial Networks Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu

NeurIPS 2018 Discrimination-Aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jinhui Zhu

AAAI 2018 Double Forward Propagation for Memorized Batch Normalization Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan

IJCAI 2018 Multi-Modality Sensor Data Classification with Selective Attention Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang

IJCAI 2018 Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu

AAAI 2018 T-C3D: Temporal Convolutional 3D Network for Real-Time Action Recognition Kun Liu, Wu Liu, Chuang Gan, Mingkui Tan, Huadong Ma

CVPR 2018 Towards Effective Low-Bitwidth Convolutional Neural Networks Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian Reid

CVPR 2018 Visual Grounding via Accumulated Attention Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan

IJCAI 2017 Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu

AAAI 2017 MPGL: An Efficient Matching Pursuit Method for Generalized LASSO Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi

ACML 2017 On the Flatness of Loss Surface for Two-Layered ReLU Networks Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan

ICCV 2017 Self-Paced Kernel Estimation for Robust Blind Image Deblurring Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi

CVPR 2016 Blind Image Deconvolution by Automatic Gradient Activation Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi

CVPR 2016 Fast Algorithms for Linear and Kernel SVM+ Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, Luc Van Gool

AAAI 2016 Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi

ECCV 2016 Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min

ECCVW 2016 Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min

CVPR 2016 Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi

CVPR 2015 Learning Graph Structure for Multi-Label Image Classification via Clique Generation Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang

IJCAI 2015 Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Chengqi Zhang, Qinfeng Shi

AISTATS 2014 Heterogeneous Domain Adaptation for Multiple Classes Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan

ICML 2014 Riemannian Pursuit for Big Matrix Recovery Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan

JMLR 2014 Towards Ultrahigh Dimensional Feature Selection for Big Data Mingkui Tan, Ivor W. Tsang, Li Wang

ECCV 2014 Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos Shijie Xiao, Mingkui Tan, Dong Xu

AAAI 2012 Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection Mingkui Tan, Ivor W. Tsang, Li Wang, Xinming Zhang

ICML 2012 Discovering Support and Affiliated Features from Very High Dimensions Yiteng Zhai, Mingkui Tan, Ivor W. Tsang, Yew-Soon Ong

ICML 2010 Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets Mingkui Tan, Li Wang, Ivor W. Tsang