A general framework for transfer sparse subspace learning. - Shizhun Yang; Ming Lin 002; Chenping Hou; Changshui Zhang; Yi Wu 003 (Neural Comput. Appl., 2012)

Online Kernel Learning with a Near Optimal Sparsity Bound. - Lijun Zhang 005; Jinfeng Yi; Rong Jin 001; Ming Lin 002; Xiaofei He 001 (ICML (3), 2013)

On the Sample Complexity of Random Fourier Features for Online Learning: How Many Random Fourier Features Do We Need? - Ming Lin 002; Shifeng Weng; Changshui Zhang (ACM Trans. Knowl. Discov. Data, 2013)

Informedia @ TRECVID 2014. - Shoou-I Yu; Lu Jiang 004; Zhongwen Xu; Zhenzhong Lan; Shicheng Xu; Xiaojun Chang; Xuanchong Li; Zexi Mao; Chuang Gan 001; Yajie Miao; Xingzhong Du; Yang Cai 002; et al. (TRECVID, 2014)

Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property. - Ming Lin 002; Rong Jin 001; Changshui Zhang (UAI, 2014)

Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action Recognition. - Chuang Gan 001; Ming Lin 002; Yi Yang 001; Yueting Zhuang; Alexander G. Hauptmann (AAAI, 2015)

Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition. - Zhen-Zhong Lan; Ming Lin 002; Xuanchong Li; Alexander G. Hauptmann; Bhiksha Raj (CVPR, 2015)

Density Corrected Sparse Recovery when R.I.P. Condition Is Broken. - Ming Lin 002; Zhen-Zhong Lan; Alexander G. Hauptmann (IJCAI, 2015)

CMU Informedia@TRECVID 2015: MED/SIN/LNK/SED. - Shoou-I Yu; Lu Jiang 004; Zhongwen Xu; Zhenzhong Lan; Shicheng Xu; Xiaojun Chang; Xuanchong Li; Zexi Mao; Chuang Gan 001; Yajie Miao; Xingzhong Du; Yang Cai 002; et al. (TRECVID, 2015)

Long-short Term Motion Feature for Action Classification and Retrieval. - Zhen-Zhong Lan; Xuanchong Li; Ming Lin 002; Alexander G. Hauptmann (CoRR, 2015)

Handcrafted Local Features are Convolutional Neural Networks. - Zhen-Zhong Lan; Shoou-I Yu; Ming Lin 002; Bhiksha Raj; Alexander G. Hauptmann (CoRR, 2015)

The Best of Both Worlds: Combining Data-independent and Data-driven Approaches for Action Recognition. - Zhen-Zhong Lan; Dezhong Yao 002; Ming Lin 002; Shoou-I Yu; Alexander G. Hauptmann (CoRR, 2015)

Damping proximal coordinate descent algorithm for non-convex regularization. - Zheng Pan; Ming Lin 002; Guangdong Hou; Changshui Zhang (Neurocomputing, 2015)

Large-scale eigenvector approximation via Hilbert Space Embedding Nyström. - Ming Lin 002; Fei Wang 001; Changshui Zhang (Pattern Recognit., 2015)

Dependent Online Kernel Learning With Constant Number of Random Fourier Features. - Zhen Hu; Ming Lin 002; Changshui Zhang (IEEE Trans. Neural Networks Learn. Syst., 2015)

The Best of BothWorlds: Combining Data-Independent and Data-Driven Approaches for Action Recognition. - Zhen-Zhong Lan; Shoou-I Yu; Dezhong Yao 002; Ming Lin 002; Bhiksha Raj; Alexander G. Hauptmann (CVPR Workshops, 2016)

Strategies for Searching Video Content with Text Queries or Video Examples. - Shoou-I Yu; Yi Yang 001; Zhongwen Xu; Shicheng Xu; Deyu Meng; Zexi Mao; Zhigang Ma; Ming Lin 002; Xuanchong Li; Huan Li; Zhen-Zhong Lan; Lu Jiang 004; et al. (CoRR, 2016)

Online kernel learning with nearly constant support vectors. - Ming Lin 002; Lijun Zhang 005; Rong Jin 001; Shifeng Weng; Changshui Zhang (Neurocomputing, 2016)

Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. - Xiang Li 001; Aoxiao Zhong; Ming Lin 002; Ning Guo; Mu Sun; Arkadiusz Sitek; Jieping Ye; James Thrall; Quanzheng Li (MLMI@MICCAI, 2017)

Feature Interaction Augmented Sparse Learning for Fast Kinect Motion Detection. - Xiaojun Chang; Zhigang Ma; Ming Lin 002; Yi Yang 001; Alexander G. Hauptmann (IEEE Trans. Image Process., 2017)

Robust finite mixture regression for heterogeneous targets. - Jian Liang 002; Kun Chen 002; Ming Lin 002; Changshui Zhang; Fei Wang 001 (Data Min. Knowl. Discov., 2018)

On the Generalization Ability of Online Gradient Descent Algorithm Under the Quadratic Growth Condition. - Daqing Chang; Ming Lin 002; Changshui Zhang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. - Ming Lin 002; Shuang Qiu; Jieping Ye; Xiaomin Song; Qi Qian 001; Liang Sun 001; Shenghuo Zhu; Rong Jin 001 (AAAI, 2019)

MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning. - Hesen Chen; Ming Lin 002; Xiuyu Sun; Qian Qi 001; Hao Li 030; Rong Jin 001 (ICCV Workshops, 2019)

Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. - Ming Lin 002; Xiaomin Song; Qi Qian 001; Hao Li 030; Liang Sun 001; Shenghuo Zhu; Rong Jin 001 (KDD, 2019)

Neural Architecture Design for GPU-Efficient Networks. - Ming Lin 002; Hesen Chen; Xiuyu Sun; Qi Qian 001; Hao Li 030; Rong Jin 001 (CoRR, 2020)

WeMix: How to Better Utilize Data Augmentation. - Yi Xu 008; Asaf Noy; Ming Lin 002; Qi Qian 001; Hao Li 030; Rong Jin 001 (CoRR, 2020)

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition. - Ming Lin 002; Pichao Wang; Zhenhong Sun; Hesen Chen; Xiuyu Sun; Qi Qian 001; Hao Li 030; Rong Jin 001 (ICCV, 2021)

Learning Accurate Entropy Model with Global Reference for Image Compression. - Yichen Qian; Zhiyu Tan; Xiuyu Sun; Ming Lin 002; Dongyang Li; Zhenhong Sun; Hao Li 030; Rong Jin 001 (ICLR, 2021)

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition. - Ming Lin 002; Pichao Wang; Zhenhong Sun; Hesen Chen; Xiuyu Sun; Qi Qian 001; Hao Li 030; Rong Jin 001 (CoRR, 2021)

KVT: k-NN Attention for Boosting Vision Transformers. - Pichao Wang; Xue Wang 010; Fan Wang 019; Ming Lin 002; Shuning Chang; Wen Xie; Hao Li 030; Rong Jin 001 (CoRR, 2021)

Fine-Grained AutoAugmentation for Multi-Label Classification. - Ya Wang; Hesen Chen; Fangyi Zhang; Yaohua Wang; Xiuyu Sun; Ming Lin 002; Hao Li 030 (CoRR, 2021)

Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search. - Zhenhong Sun; Ming Lin 002; Xiuyu Sun; Zhiyu Tan; Rong Jin 001 (CoRR, 2021)

KVT: k-NN Attention for Boosting Vision Transformers. - Pichao Wang; Xue Wang 010; Fan Wang 019; Ming Lin 002; Shuning Chang; Hao Li 030; Rong Jin 001 (ECCV (24), 2022)

Entroformer: A Transformer-based Entropy Model for Learned Image Compression. - Yichen Qian; Xiuyu Sun; Ming Lin 002; Zhiyu Tan; Rong Jin 001 (ICLR, 2022)

Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space. - Yaohua Wang; Yaobin Zhang; Fangyi Zhang; Senzhang Wang; Ming Lin 002; YuQi Zhang; Xiuyu Sun (ICLR, 2022)

MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection. - Zhenhong Sun; Ming Lin 002; Xiuyu Sun; Zhiyu Tan; Hao Li 030; Rong Jin 001 (ICML, 2022)

Robust Graph Structure Learning via Multiple Statistical Tests. - Yaohua Wang; Fangyi Zhang; Ming Lin 002; Senzhang Wang; Xiuyu Sun; Rong Jin 001 (NeurIPS, 2022)

Robust Graph Structure Learning over Images via Multiple Statistical Tests. - Yaohua Wang; Fangyi Zhang; Ming Lin 002; Senzhang Wang; Xiuyu Sun; Rong Jin 001 (CoRR, 2022)

Making Vision Transformers Efficient from A Token Sparsification View. - Shuning Chang; Pichao Wang; Ming Lin 002; Fan Wang 019; David Junhao Zhang; Rong Jin 001; Mike Zheng Shou (CVPR, 2023)

DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network. - Xuan Shen; Yaohua Wang; Ming Lin 002; Yilun Huang 004; Hao Tang 005; Xiuyu Sun; Yanzhi Wang (CVPR, 2023)

Learning the Relation Between Similarity Loss and Clustering Loss in Self-Supervised Learning. - Jidong Ge; Yuxiang Liu; Jie Gui; Lanting Fang; Ming Lin 002; James Tin-Yau Kwok; Liguo Huang; Bin Luo 003 (IEEE Trans. Image Process., 2023)

Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. - Guihong Li; Duc Hoang; Kartikeya Bhardwaj; Ming Lin 002; Zhangyang Wang; Radu Marculescu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)