Yi Ma - RankMe

331 papers A* 77A 7B 11C 5Misc 7Journal 176Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flow Policy Gradients for Robot Control. CoRR Brent Yi, Hongsuk Choi, Himanshu Gaurav Singh, Xiaoyu Huang, Takara E. Truong, Carmelo Sferrazza, Yi Ma, Rocky Duan, Pieter Abbeel, Guanya Shi, C. Karen Liu, Angjoo Kanazawa
2026	J	`jnl`	Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selection. CoRR Dacheng Qi, Chenyu Wang, Jingwei Xu, Tianzhe Chu, Zibo Zhao, Wen Liu, Wenrui Ding, Yi Ma, Shenghua Gao
2026	A*	`conf`	Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs. AAAI Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong, Ta Ying Cheng, Ruoyu Wang, Tianzhe Chu, Yuexiang Zhai, Yubei Chen, Shenghua Gao, Yi Ma
2025	A*	`conf`	Attention-Only Transformers via Unrolled Subspace Denoising. ICML Peng Wang, Yifu Lu, Yaodong Yu, Druv Pai, Qing Qu, Yi Ma
2025	J	`jnl`	Attention-Only Transformers via Unrolled Subspace Denoising. CoRR Peng Wang, Yifu Lu, Yaodong Yu, Druv Pai, Qing Qu, Yi Ma
2025	J	`jnl`	CUPID: Pose-Grounded Generative 3D Reconstruction from a Single Image. CoRR Binbin Huang, Haobin Duan, Yiqun Zhao, Zibo Zhao, Yi Ma, Shenghua Gao
2025	J	`jnl`	Cameras as Relative Positional Encoding. CoRR Ruilong Li, Brent Yi, Junchen Liu, Hang Gao, Yi Ma, Angjoo Kanazawa
2025	J	`jnl`	Coordinated Humanoid Manipulation with Choice Policies. CoRR Haozhi Qi, Yen-Jen Wang, Toru Lin, Brent Yi, Yi Ma, Koushil Sreenath, Jitendra Malik
2025	—	`conf`	Diffusion Models Learn Low-Dimensional Distributions VIA Subspace Clustering. CAMSAP Peng Wang, Huijie Zhang, Zekai Zhang, Siyi Chen, Yi Ma, Qing Qu
2025	A*	`conf`	Estimating Body and Hand Motion in an Ego-sensed World. CVPR Brent Yi, Vickie Ye, Maya Zheng, Yunqi Li, Lea Müller, Georgios Pavlakos, Yi Ma, Jitendra Malik, Angjoo Kanazawa
2025	J	`jnl`	EventAid: Benchmarking Event-Aided Image/Video Enhancement Algorithms With Real-Captured Hybrid Dataset. IEEE Trans. Pattern Anal. Mach. Intell. Peiqi Duan, Boyu Li, Yixin Yang, Hanyue Lou, Minggui Teng, Xinyu Zhou, Yi Ma, Boxin Shi
2025	A*	`conf`	From Simple to Complex Skills: The Case of In-Hand Object Reorientation. ICRA Haozhi Qi, Brent Yi, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
2025	J	`jnl`	From Simple to Complex Skills: The Case of In-Hand Object Reorientation. CoRR Haozhi Qi, Brent Yi, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
2025	J	`jnl`	GenDexHand: Generative Simulation for Dexterous Hands. CoRR Feng Chen, Zhuxiu Xu, Tianzhe Chu, Xunzhe Zhou, Li Sun, Zewen Wu, Shenghua Gao, Zhongyu Li, Yanchao Yang, Yi Ma
2025	—	`conf`	Improving Neuron-level Interpretability with White-box Language Models. CPAL Hao Bai, Yi Ma
2025	J	`jnl`	On the Edge of Memorization in Diffusion Models. CoRR Sam Buchanan, Druv Pai, Yi Ma, Valentin De Bortoli
2025	A	`conf`	PyRoki: A Modular Toolkit for Robot Kinematic Optimization. IROS Chung Min Kim, Brent Yi, Hongsuk Choi, Yi Ma, Ken Goldberg, Angjoo Kanazawa
2025	J	`jnl`	PyRoki: A Modular Toolkit for Robot Kinematic Optimization. CoRR Chung Min Kim, Brent Yi, Hongsuk Choi, Yi Ma, Ken Goldberg, Angjoo Kanazawa
2025	J	`jnl`	Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated Videos. CoRR Ruoyu Wang, Yi Ma, Shenghua Gao
2025	A*	`conf`	SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training. ICML Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma
2025	J	`jnl`	SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training. CoRR Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma
2025	J	`jnl`	Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs. CoRR Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong, Ta Ying Cheng, Ruoyu Wang, Tianzhe Chu, Yuexiang Zhai, Yubei Chen, Shenghua Gao, Yi Ma
2025	A*	`conf`	Simplifying DINO via Coding Rate Regularization. ICML Ziyang Wu, Jingyuan Zhang, Druv Pai, Xudong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma
2025	J	`jnl`	Simplifying DINO via Coding Rate Regularization. CoRR Ziyang Wu, Jingyuan Zhang, Druv Pai, Xudong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma
2025	A*	`conf`	Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction. ICLR Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin David Haeffele
2025	J	`jnl`	Viser: Imperative, Web-based 3D Visualization in Python. CoRR Brent Yi, Chung Min Kim, Justin Kerr, Gina Wu, Rebecca Feng, Anthony Zhang, Jonas Kulhanek, Hongsuk Choi, Yi Ma, Matthew Tancik, Angjoo Kanazawa
2024	A*	`conf`	A Global Geometric Analysis of Maximal Coding Rate Reduction. ICML Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma
2024	J	`jnl`	A Global Geometric Analysis of Maximal Coding Rate Reduction. CoRR Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma
2024	J	`jnl`	CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM. CoRR Jingwei Xu, Chenyu Wang, Zibo Zhao, Wen Liu, Yi Ma, Shenghua Gao
2024	—	`conf`	Closed-Loop Transcription via Convolutional Sparse Coding. CPAL Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel M. Ni, Yi Ma
2024	A*	`conf`	Color4E: Event Demosaicing for Full-color Event Guided Image Deblurring. ACM Multimedia Yi Ma, Peiqi Duan, Yuchen Hong, Chu Zhou, Yu Zhang, Jimmy S. J. Ren, Boxin Shi
2024	J	`jnl`	Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription. CoRR Hongxiang Zhao, Xili Dai, Jianan Wang, Shengbang Tong, Jingyuan Zhang, Weida Wang, Lei Zhang, Yi Ma
2024	A*	`conf`	Differentially Private Representation Learning via Image Captioning. ICML Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Oliviero Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo
2024	J	`jnl`	Differentially Private Representation Learning via Image Captioning. CoRR Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo
2024	J	`jnl`	Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering. CoRR Peng Wang, Huijie Zhang, Zekai Zhang, Siyi Chen, Yi Ma, Qing Qu
2024	J	`jnl`	Editorial Introduction to the Special Issue Seeking Low-Dimensionality in Deep Neural Networks (SLowDNN). IEEE J. Sel. Top. Signal Process. Yi Ma, Yuejie Chi, Ivan Dokmanic, Bihan Wen, John N. Wright, Zhihui Zhu
2024	—	`conf`	Emergence of Segmentation with Minimalistic White-Box Transformers. CPAL Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma
2024	J	`jnl`	Estimating Body and Hand Motion in an Ego-sensed World. CoRR Brent Yi, Vickie Ye, Maya Zheng, Lea Müller, Georgios Pavlakos, Yi Ma, Jitendra Malik, Angjoo Kanazawa
2024	A*	`conf`	Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CVPR Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
2024	J	`jnl`	Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CoRR Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
2024	A*	`conf`	Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. NeurIPS Simon Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Peter Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
2024	J	`jnl`	Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. CoRR Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
2024	J	`jnl`	Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition. CoRR Chun-Hsiao Yeh, Ta Ying Cheng, He-Yen Hsieh, Chuan-En Lin, Yi Ma, Andrew Markham, Niki Trigoni, Hsiang-Tsung Kung, Yubei Chen
2024	A*	`conf`	Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. ICLR Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma
2024	J	`jnl`	Improving Neuron-level Interpretability with White-box Language Models. CoRR Hao Bai, Yi Ma
2024	J	`jnl`	Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis. CoRR Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin
2024	—	`conf`	Insight: A Multi-modal Diagnostic Pipeline Using LLMs for Ocular Surface Disease Diagnosis. MICCAI (1) Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin
2024	—	`conf`	Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning. CPAL Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
2024	A*	`conf`	Learning a Diffusion Model Policy from Rewards via Q-Score Matching. ICML Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma
2024	Misc	`conf`	Lessons from Learning to Spin "Pens". CoRL Jun Wang, Ying Yuan, Haichuan Che, Haozhi Qi, Yi Ma, Jitendra Malik, Xiaolong Wang
2024	J	`jnl`	Lessons from Learning to Spin "Pens". CoRR Jun Wang, Ying Yuan, Haichuan Che, Haozhi Qi, Yi Ma, Jitendra Malik, Xiaolong Wang
2024	A*	`conf`	Masked Completion via Structured Diffusion with White-Box Transformers. ICLR Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma
2024	J	`jnl`	Masked Completion via Structured Diffusion with White-Box Transformers. CoRR Druv Pai, Ziyang Wu, Sam Buchanan, Yaodong Yu, Yi Ma
2024	A*	`conf`	RLIF: Interactive Imitation Learning as Reinforcement Learning. ICLR Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
2024	J	`jnl`	Representation Learning via Manifold Flattening and Reconstruction. J. Mach. Learn. Res. Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma
2024	A*	`conf`	Scaling White-Box Transformers for Vision. NeurIPS Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yi Ma, Yaodong Yu, Cihang Xie
2024	J	`jnl`	Scaling White-Box Transformers for Vision. CoRR Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yi Ma, Yaodong Yu, Cihang Xie
2024	J	`jnl`	Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction. CoRR Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin D. Haeffele
2024	—	`conf`	Unsupervised Learning of Structured Representation via Closed-Loop Transcription. CPAL Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma
2024	A*	`conf`	ViP: A Differentially Private Foundation Model for Computer Vision. ICML Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo
2024	J	`jnl`	White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? J. Mach. Learn. Res. Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma
2023	A*	`conf`	Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. NeurIPS Mitsuhiko Nakamoto, Simon Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine
2023	J	`jnl`	Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. CoRR Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine
2023	A*	`conf`	Canonical Factors for Hybrid Neural Fields. ICCV Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma
2023	J	`jnl`	Canonical Factors for Hybrid Neural Fields. CoRR Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma
2023	J	`jnl`	Closed-Loop Transcription via Convolutional Sparse Coding. CoRR Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel M. Ni, Yi Ma
2023	J	`jnl`	EMP-SSL: Towards Self-Supervised Learning in One Training Epoch. CoRR Shengbang Tong, Yubei Chen, Yi Ma, Yann LeCun
2023	J	`jnl`	Emergence of Segmentation with Minimalistic White-Box Transformers. CoRR Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma
2023	J	`jnl`	EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset. CoRR Peiqi Duan, Boyu Li, Yixin Yang, Hanyue Lou, Minggui Teng, Yi Ma, Boxin Shi
2023	J	`jnl`	General In-Hand Object Rotation with Vision and Touch. CoRR Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
2023	Misc	`conf`	General In-hand Object Rotation with Vision and Touch. CoRL Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
2023	J	`jnl`	Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. CoRR Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma
2023	A*	`conf`	Incremental Learning of Structured Memory via Closed-Loop Transcription. ICLR Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma
2023	J	`jnl`	Investigating the Catastrophic Forgetting in Multimodal Large Language Models. CoRR Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
2023	J	`jnl`	Learning a Diffusion Model Policy from Rewards via Q-Score Matching. CoRR Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma
2023	A*	`conf`	Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. ICLR Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun
2023	J	`jnl`	NeuroZoom: Denoising and Super Resolving Neuromorphic Events and Spikes. IEEE Trans. Pattern Anal. Mach. Intell. Peiqi Duan, Yi Ma, Xinyu Zhou, Xinyu Shi, Zihao W. Wang, Tiejun Huang, Boxin Shi
2023	J	`jnl`	Pursuit of a discriminative representation for multiple subspaces via sequential games. J. Frankl. Inst. Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma
2023	J	`jnl`	RLIF: Interactive Imitation Learning as Reinforcement Learning. CoRR Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
2023	J	`jnl`	Representation Learning via Manifold Flattening and Reconstruction. CoRR Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma
2023	J	`jnl`	Role of Uncertainty in Anticipatory Trajectory Prediction for a Ping-Pong Playing Robot. CoRR Nima Rahmanian, Michael Gupta, Renzo Soatto, Srisai Nachuri, Michael Psenka, Yi Ma, S. Shankar Sastry
2023	J	`jnl`	Scaff-PD: Communication Efficient Fair and Robust Federated Learning. CoRR Yaodong Yu, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan
2023	A*	`conf`	Understanding the Complexity Gains of Single-Task RL with a Curriculum. ICML Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine
2023	A*	`conf`	Unsupervised Manifold Linearizing and Clustering. ICCV Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele
2023	J	`jnl`	Unsupervised Manifold Linearizing and Clustering. CoRR Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele
2023	J	`jnl`	ViP: A Differentially Private Foundation Model for Computer Vision. CoRR Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo
2023	A*	`conf`	White-Box Transformers via Sparse Rate Reduction. NeurIPS Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma
2023	J	`jnl`	White-Box Transformers via Sparse Rate Reduction. CoRR Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma
2023	J	`jnl`	White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? CoRR Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma
2022	J	`jnl`	CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction. Entropy Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma
2022	J	`jnl`	Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning. J. Artif. Intell. Res. Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
2022	A*	`conf`	Efficient Maximal Coding Rate Reduction by Variational Forms. CVPR Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
2022	J	`jnl`	Efficient Maximal Coding Rate Reduction by Variational Forms. CoRR Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
2022	A*	`conf`	EvUnroll: Neuromorphic Events based Rolling Shutter Image Correction. CVPR Xinyu Zhou, Peiqi Duan, Yi Ma, Boxin Shi
2022	J	`jnl`	Fully convolutional line parsing. Neurocomputing Xili Dai, Haigang Gong, Shuai Wu, Xiaojun Yuan, Yi Ma
2022	Misc	`conf`	In-Hand Object Rotation via Rapid Motor Adaptation. CoRL Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik
2022	J	`jnl`	In-Hand Object Rotation via Rapid Motor Adaptation. CoRR Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik
2022	J	`jnl`	Incremental Learning of Structured Memory via Closed-Loop Transcription. CoRR Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma
2022	J	`jnl`	Learning and Meshing From Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching. IEEE Trans. Pattern Anal. Mach. Intell. Jiabao Lei, Kui Jia, Yi Ma
2022	A	`conf`	Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. WACV Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan
2022	J	`jnl`	Minimalistic Unsupervised Learning with the Sparse Manifold Transform. CoRR Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun
2022	A	`conf`	On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging. AISTATS Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan
2022	J	`jnl`	On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence. CoRR Yi Ma, Doris Tsao, Heung-Yeung Shum
2022	J	`jnl`	On the principles of Parsimony and Self-consistency for the emergence of intelligence. Frontiers Inf. Technol. Electron. Eng. Yi Ma, Doris Tsao, Heung-Yeung Shum
2022	A*	`conf`	Predicting Out-of-Distribution Error with the Projection Norm. ICML Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt
2022	J	`jnl`	Predicting Out-of-Distribution Error with the Projection Norm. CoRR Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt
2022	J	`jnl`	Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games. CoRR Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma
2022	J	`jnl`	ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. J. Mach. Learn. Res. Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
2022	A*	`conf`	Revisiting Sparse Convolutional Model for Visual Recognition. NeurIPS Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
2022	J	`jnl`	Revisiting Sparse Convolutional Model for Visual Recognition. CoRR Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
2022	A*	`conf`	Robust Calibration with Multi-domain Temperature Scaling. NeurIPS Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan
2022	J	`jnl`	Robust Calibration with Multi-domain Temperature Scaling. CoRR Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan
2022	A*	`conf`	TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels. NeurIPS Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan
2022	J	`jnl`	TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels. CoRR Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan
2022	J	`jnl`	Understanding the Complexity Gains of Single-Task RL with a Curriculum. CoRR Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine
2022	J	`jnl`	Unsupervised Learning of Structured Representations via Closed-Loop Transcription. CoRR Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma
2021	—	`conf`	Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients. MSML Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao
2021	J	`jnl`	Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction. CoRR Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma
2021	J	`jnl`	Computational Benefits of Intermediate Rewards for Hierarchical Planning. CoRR Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
2021	A*	`conf`	EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events. CVPR Peiqi Duan, Zihao W. Wang, Xinyu Zhou, Yi Ma, Boxin Shi
2021	J	`jnl`	Fully Convolutional Line Parsing. CoRR Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma
2021	A*	`conf`	Incremental Learning via Rate Reduction. CVPR Ziyang Wu, Christina Baek, Chong You, Yi Ma
2021	A*	`conf`	Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. ICLR Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik
2021	J	`jnl`	Learning and Meshing from Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching. CoRR Jiabao Lei, Kui Jia, Yi Ma
2021	J	`jnl`	Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. CoRR Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan
2021	A*	`conf`	NeRD: Neural 3D Reflection Symmetry Detector. CVPR Yichao Zhou, Shichen Liu, Yi Ma
2021	J	`jnl`	NeRD: Neural 3D Reflection Symmetry Detector. CoRR Yichao Zhou, Shichen Liu, Yi Ma
2021	J	`jnl`	On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging. CoRR Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan
2021	J	`jnl`	Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. CoRR Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma
2021	J	`jnl`	ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. CoRR Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
2021	J	`jnl`	Robust Low-Rank Tensor Recovery with Rectification and Alignment. IEEE Trans. Pattern Anal. Mach. Intell. Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma
2021	J	`jnl`	Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition. CoRR Yaodong Yu, Zitong Yang, Edgar Dobriban, Jacob Steinhardt, Yi Ma
2021	J	`jnl`	Unified Acceleration of High-Order Algorithms under General Hölder Continuity. SIAM J. Optim. Chaobing Song, Yong Jiang, Yi Ma
2020	J	`jnl`	Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients. CoRR Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao
2020	J	`jnl`	Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group. J. Mach. Learn. Res. Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma
2020	A*	`conf`	Deep Isometric Learning for Visual Recognition. ICML Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik
2020	J	`jnl`	Deep Isometric Learning for Visual Recognition. CoRR Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik
2020	J	`jnl`	Deep Networks from the Principle of Rate Reduction. CoRR Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
2020	B	`conf`	Disentangled Representation Learning for Controllable Image Synthesis: An Information-Theoretic Perspective. ICPR Shichang Tang, Xu Zhou, Xuming He, Yi Ma
2020	J	`jnl`	HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures. CoRR Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen, Yi Ma
2020	J	`jnl`	Incremental Learning via Rate Reduction. CoRR Ziyang Wu, Christina Baek, Chong You, Yi Ma
2020	A*	`conf`	Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. NeurIPS Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma
2020	J	`jnl`	Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. CoRR Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma
2020	J	`jnl`	Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. CoRR Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik
2020	J	`jnl`	Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction. CoRR Yichao Zhou, Shichen Liu, Yi Ma
2020	J	`jnl`	Learning to Parse Wireframes in Images of Man-Made Environments. CoRR Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma
2020	A*	`conf`	Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. NeurIPS Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma
2020	J	`jnl`	Parameter-Free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy. IEEE Trans. Image Process. Xu Zhou, Rafael Molina, Yi Ma, Tianfu Wang, Dong Ni
2020	A*	`conf`	Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. ICML Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma
2020	J	`jnl`	Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. CoRR Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma
2020	A*	`conf`	Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. NeurIPS Chong You, Zhihui Zhu, Qing Qu, Yi Ma
2020	J	`jnl`	Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. CoRR Chong You, Zhihui Zhu, Qing Qu, Yi Ma
2020	J	`jnl`	Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization. CoRR Chaobing Song, Yong Jiang, Yi Ma
2020	A*	`conf`	Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness. ICLR Yuexiang Zhai, Hermish Mehta, Zhengyuan Zhou, Yi Ma
2020	A*	`conf`	Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization. NeurIPS Chaobing Song, Yong Jiang, Yi Ma
2019	J	`jnl`	Complete Dictionary Learning via 𝓁 CoRR Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma
2019	A*	`conf`	End-to-End Wireframe Parsing. ICCV Yichao Zhou, Haozhi Qi, Yi Ma
2019	J	`jnl`	End-to-End Wireframe Parsing. CoRR Yichao Zhou, Haozhi Qi, Yi Ma
2019	A*	`conf`	Learning to Reconstruct 3D Manhattan Wireframes From a Single Image. ICCV Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma
2019	J	`jnl`	Learning to Reconstruct 3D Manhattan Wireframes from a Single Image. CoRR Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma
2019	A*	`conf`	NeurVPS: Neural Vanishing Point Scanning via Conic Convolution. NeurIPS Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma
2019	J	`jnl`	NeurVPS: Neural Vanishing Point Scanning via Conic Convolution. CoRR Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma
2019	J	`jnl`	Towards Unified Acceleration of High-Order Algorithms under Hölder Continuity and Uniform Convexity. CoRR Chaobing Song, Yi Ma
2018	A*	`conf`	Learning to Parse Wireframes in Images of Man-Made Environments. CVPR Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma
2018	J	`jnl`	Robust Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image and Video Denoising. IEEE J. Sel. Top. Signal Process. Weisheng Dong, Tao Huang, Guangming Shi, Yi Ma, Xin Li
2017	A	`conf`	A new calibration technique for multi-camera systems of limited overlapping field-of-views. IROS Ziran Xing, Jingyi Yu, Yi Ma
2017	J	`jnl`	Label Information Guided Graph Construction for Semi-Supervised Learning. IEEE Trans. Image Process. Liansheng Zhuang, Zihan Zhou, Shenghua Gao, Jingwen Yin, Zhouchen Lin, Yi Ma
2016	—	`book`	Generalized Principal Component Analysis. René Vidal, Yi Ma, S. Shankar Sastry
2016	J	`jnl`	Locality-preserving low-rank representation for graph construction from nonlinear manifolds. Neurocomputing Liansheng Zhuang, Jingjing Wang, Zhouchen Lin, Allen Y. Yang, Yi Ma, Nenghai Yu
2016	J	`jnl`	ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. Int. J. Comput. Vis. Kui Jia, Tsung-Han Chan, Zinan Zeng, Shenghua Gao, Gang Wang, Tianzhu Zhang, Yi Ma
2016	—	`conf`	Robust Plane-Based Calibration of Multiple Non-Overlapping Cameras. 3DV Chen Zhu, Zihan Zhou, Ziran Xing, Yanbing Dong, Yi Ma, Jingyi Yu
2016	A*	`conf`	Single-Image Crowd Counting via Multi-Column Convolutional Neural Network. CVPR Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, Yi Ma
2016	J	`jnl`	Texture Repairing by Unified Low Rank Optimization. J. Comput. Sci. Technol. Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma
2015	J	`jnl`	Automatic Layer Separation using Light Field Imaging. CoRR Qiaosong Wang, Haiting Lin, Yi Ma, Sing Bing Kang, Jingyi Yu
2015	J	`jnl`	Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features. IEEE Trans. Image Process. Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma, Nenghai Yu
2015	J	`jnl`	Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture. Int. J. Comput. Vis. Weisheng Dong, Guangming Shi, Yi Ma, Xin Li
2015	A*	`conf`	Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising. ICCV Weisheng Dong, Guangyu Li, Guangming Shi, Xin Li, Yi Ma
2015	J	`jnl`	Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition. Int. J. Comput. Vis. Shenghua Gao, Kui Jia, Liansheng Zhuang, Yi Ma
2015	J	`jnl`	Non-blind deblurring of structured images with geometric deformation. Vis. Comput. Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma
2015	J	`jnl`	PCANet: A Simple Deep Learning Baseline for Image Classification? IEEE Trans. Image Process. Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma
2015	J	`jnl`	Robust Face Recognition by Constrained Part-based Alignment. CoRR Yuting Zhang, Kui Jia, Yueming Wang, Gang Pan, Tsung-Han Chan, Yi Ma
2015	J	`jnl`	Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment. Int. J. Comput. Vis. Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma
2014	J	`jnl`	Blind Image Deblurring Using Spectral Properties of Convolution Operators. IEEE Trans. Image Process. Guangcan Liu, Shiyu Chang, Yi Ma
2014	J	`jnl`	Compressive Sensing via Nonlocal Low-Rank Regularization. IEEE Trans. Image Process. Weisheng Dong, Guangming Shi, Xin Li, Yi Ma, Feng Huang
2014	J	`jnl`	Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features. CoRR Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma
2014	J	`jnl`	Fast Low-Rank Subspace Segmentation. IEEE Trans. Knowl. Data Eng. Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma
2014	A*	`conf`	Hybrid Singular Value Thresholding for Tensor Completion. AAAI Xiaoqin Zhang, Zhengyuan Zhou, Di Wang, Yi Ma
2014	B	`conf`	Image restoration via Bayesian structured sparse coding. ICIP Weisheng Dong, Xin Li, Yi Ma, Guangming Shi
2014	J	`jnl`	Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization. IEEE Trans. Image Process. Shenghua Gao, Ivor Wai-Hung Tsang, Yi Ma
2014	J	`jnl`	MMSE Design of Time and Color Multiplexing Codes. IEEE Trans. Signal Process. Tsung-Han Chan, Kui Jia, Eliot Wycoff, Yi Ma
2014	J	`jnl`	Nonlocal Sparse and Low-Rank Regularization for Optical Flow Estimation. IEEE Trans. Image Process. Weisheng Dong, Guangming Shi, Xiaocheng Hu, Yi Ma
2014	J	`jnl`	PCANet: A Simple Deep Learning Baseline for Image Classification? CoRR Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma
2014	A*	`conf`	Partial Occlusion Handling for Visual Tracking via Robust Part Matching. CVPR Tianzhu Zhang, Kui Jia, Changsheng Xu, Yi Ma, Narendra Ahuja
2014	J	`jnl`	ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. CoRR Kui Jia, Tsung-Han Chan, Zinan Zeng, Gang Wang, Tianzhu Zhang, Yi Ma
2014	—	`conf`	Robust Foreground Detection Using Smoothness and Arbitrariness Constraints. ECCV (7) Xiaojie Guo, Xinggang Wang, Liang Yang, Xiaochun Cao, Yi Ma
2014	A*	`conf`	Robust Separation of Reflection from Multiple Images. CVPR Xiaojie Guo, Xiaochun Cao, Yi Ma
2014	J	`jnl`	Robust Subspace Discovery via Relaxed Rank Minimization. Neural Comput. Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu
2014	J	`jnl`	Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment. CoRR Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma
2014	J	`jnl`	Transform invariant text extraction. Vis. Comput. Xin Zhang, Zhouchen Lin, Fuchun Sun, Yi Ma
2014	—	`conf`	Unsupervised Feature Learning for RGB-D Image Classification. ACCV (1) I-Hong Jhuo, Shenghua Gao, Liansheng Zhuang, D. T. Lee, Yi Ma
2013	Misc	`conf`	A non-negative sparse promoting algorithm for high resolution hyperspectral imaging. ICASSP Eliot Wycoff, Tsung-Han Chan, Kui Jia, Wing-Kin Ma, Yi Ma
2013	J	`jnl`	Fast 퓁 IEEE Trans. Image Process. Allen Y. Yang, Zihan Zhou, A. G. Balasubramanian, S. Shankar Sastry, Yi Ma
2013	Misc	`conf`	Joint topic-document modeling via low-dimensional sparse models. ICASSP Kerui Min, Yi Ma
2013	A*	`conf`	Learning by Associating Ambiguously Labeled Images. CVPR Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma
2013	A*	`conf`	Plane-Based Content Preserving Warps for Video Stabilization. CVPR Zihan Zhou, Hailin Jin, Yi Ma
2013	A	`conf`	Rectification of Optical Characters as Transform Invariant Low-Rank Textures. ICDAR Xin Zhang, Zhouchen Lin, Fuchun Sun, Yi Ma
2013	J	`jnl`	Robust Recovery of Subspace Structures by Low-Rank Representation. IEEE Trans. Pattern Anal. Mach. Intell. Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma
2013	—	`conf`	Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors. NIPS Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma
2013	A*	`conf`	Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer. CVPR Liansheng Zhuang, Allen Y. Yang, Zihan Zhou, S. Shankar Sastry, Yi Ma
2013	A*	`conf`	Video Editing with Temporal, Spatial and Appearance Consistency. CVPR Xiaojie Guo, Xiaochun Cao, Xiaowu Chen, Yi Ma
2012	J	`jnl`	Blind Image Deblurring by Spectral Properties of Convolution Operators CoRR Guangcan Liu, Yi Ma
2012	J	`jnl`	Compressive Principal Component Pursuit CoRR John Wright, Arvind Ganesh, Kerui Min, Yi Ma
2012	B	`conf`	Compressive principal component pursuit. ISIT John Wright, Arvind Ganesh, Kerui Min, Yi Ma
2012	A*	`conf`	Detecting texts of arbitrary orientations in natural images. CVPR Cong Yao, Xiang Bai, Wenyu Liu, Yi Ma, Zhuowen Tu
2012	—	`ch.`	Face recognition by sparse representation. Compressed Sensing Arvind Ganesh, Andrew Wagner, Zihan Zhou, Allen Y. Yang, Yi Ma, John Wright
2012	J	`jnl`	Generalized Principal Component Analysis (GPCA) CoRR René Vidal, Yi Ma, Shankar Sastry
2012	A*	`conf`	Non-negative low rank and sparse graph for semi-supervised learning. CVPR Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, Nenghai Yu
2012	—	`conf`	One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery. ACCV (1) Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu
2012	J	`jnl`	Principal Component Pursuit with Reduced Linear Measurements CoRR Arvind Ganesh, Kerui Min, John Wright, Yi Ma
2012	B	`conf`	Principal Component Pursuit with reduced linear measurements. ISIT Arvind Ganesh, Kerui Min, John Wright, Yi Ma
2012	J	`jnl`	RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images. IEEE Trans. Pattern Anal. Mach. Intell. YiGang Peng, Arvind Ganesh, John Wright, Wenli Xu, Yi Ma
2012	—	`conf`	Repairing Sparse Low-Rank Texture. ECCV (5) Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma
2012	—	`conf`	Robust and Practical Face Recognition via Structured Sparsity. ECCV (4) Kui Jia, Tsung-Han Chan, Yi Ma
2012	A*	`conf`	Robust plane-based structure from motion. CVPR Zihan Zhou, Hailin Jin, Yi Ma
2012	A*	`conf`	Seeing through the blur. CVPR Hossein Mobahi, C. Lawrence Zitnick, Yi Ma
2012	J	`jnl`	TILT: Transform Invariant Low-Rank Textures. Int. J. Comput. Vis. Zhengdong Zhang, Arvind Ganesh, Xiao Liang, Yi Ma
2012	J	`jnl`	Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation. IEEE Trans. Pattern Anal. Mach. Intell. Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Hossein Mobahi, Yi Ma
2012	—	`conf`	Towards Optimal Design of Time and Color Multiplexing Codes. ECCV (6) Tsung-Han Chan, Kui Jia, Eliot Wycoff, Chong-Yung Chi, Yi Ma
2011	A*	`conf`	Camera calibration with lens distortion from low-rank textures. CVPR Zhengdong Zhang, Yasuyuki Matsushita, Yi Ma
2011	J	`jnl`	Dimensionality Reduction via Subspace and Submanifold Learning [From the Guest Editors]. IEEE Signal Process. Mag. Yi Ma, Partha Niyogi, Guillermo Sapiro, René Vidal
2011	—	`conf`	Fast ℓ1-minimization and parallelization for face recognition. ACSCC Victor Shia, Allen Y. Yang, S. Shankar Sastry, Andrew Wagner, Yi Ma
2011	—	`conf`	Holistic 3D reconstruction of urban structures from low-rank textures. ICCV Workshops Hossein Mobahi, Zihan Zhou, Allen Y. Yang, Yi Ma
2011	J	`jnl`	Introduction to the Special Section on Real-World Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Gang Hua, Ming-Hsuan Yang, Erik G. Learned-Miller, Yi Ma, Matthew Turk, David J. Kriegman, Thomas S. Huang
2011	J	`jnl`	Robust principal component analysis? J. ACM Emmanuel J. Candès, Xiaodong Li, Yi Ma, John Wright
2011	J	`jnl`	Segmentation of Natural Images by Texture and Boundary Compression. Int. J. Comput. Vis. Hossein Mobahi, Shankar R. Rao, Allen Y. Yang, Shankar S. Sastry, Yi Ma
2011	J	`jnl`	Sparsity and Robustness in Face Recognition CoRR John Wright, Arvind Ganesh, Allen Y. Yang, Zihan Zhou, Yi Ma
2011	A*	`conf`	Unwrapping low-rank textures on generalized cylindrical surfaces. ICCV Zhengdong Zhang, Xiao Liang, Yi Ma
2010	J	`jnl`	A Review of Fast l1-Minimization Algorithms for Robust Face Recognition CoRR Allen Y. Yang, Arvind Ganesh, Zihan Zhou, Shankar Sastry, Yi Ma
2010	—	`conf`	Adaptive control using quantized measurements with application to vision-only landing control. CDC Yoav Sharon, Daniel Liberzon, Yi Ma
2010	J	`jnl`	Applications of Sparse Representation and Compressive Sensing. Proc. IEEE Richard G. Baraniuk, Emmanuel J. Candès, Michael Elad, Yi Ma
2010	A*	`conf`	Compact projection: Simple and efficient near neighbor search with practical memory requirements. CVPR Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-Sheng Hua, Yi Ma
2010	A	`conf`	Decomposing background topics from keywords by principal component pursuit. CIKM Kerui Min, Zhengdong Zhang, John Wright, Yi Ma
2010	J	`jnl`	Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit CoRR Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel J. Candès, Yi Ma
2010	B	`conf`	Dense error correction for low-rank matrices via Principal Component Pursuit. ISIT Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel J. Candès, Yi Ma
2010	J	`jnl`	Dense error correction via l IEEE Trans. Inf. Theory John Wright, Yi Ma
2010	B	`conf`	Fast ICIP Allen Y. Yang, S. Shankar Sastry, Arvind Ganesh, Yi Ma
2010	J	`jnl`	Image Super-Resolution Via Sparse Representation. IEEE Trans. Image Process. Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
2010	A*	`conf`	Image tag refinement towards low-rank, content-tag prior and error sparsity. ACM Multimedia Guangyu Zhu, Shuicheng Yan, Yi Ma
2010	J	`jnl`	Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. Shankar R. Rao, Roberto Tron, René Vidal, Yi Ma
2010	J	`jnl`	On the Role of Sparse and Redundant Representations in Image Processing. Proc. IEEE Michael Elad, Mário A. T. Figueiredo, Yi Ma
2010	A*	`conf`	RASL: Robust alignment by sparse and low-rank decomposition for linearly correlated images. CVPR YiGang Peng, Arvind Ganesh, John Wright, Wenli Xu, Yi Ma
2010	J	`jnl`	Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views. Int. J. Comput. Vis. Shankar R. Rao, Allen Y. Yang, Shankar Sastry, Yi Ma
2010	—	`conf`	Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery. ACCV (3) Lun Wu, Arvind Ganesh, Boxin Shi, Yasuyuki Matsushita, Yongtian Wang, Yi Ma
2010	J	`jnl`	Robust Recovery of Subspace Structures by Low-Rank Representation CoRR Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma
2010	J	`jnl`	Segmentation of Natural Images by Texture and Boundary Compression CoRR Hossein Mobahi, Shankar R. Rao, Allen Y. Yang, S. Shankar Sastry, Yi Ma
2010	J	`jnl`	Sparse Representation for Computer Vision and Pattern Recognition. Proc. IEEE John Wright, Yi Ma, Julien Mairal, Guillermo Sapiro, Thomas S. Huang, Shuicheng Yan
2010	J	`jnl`	Stable Principal Component Pursuit CoRR Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. Candès, Yi Ma
2010	B	`conf`	Stable Principal Component Pursuit. ISIT Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. Candès, Yi Ma
2010	—	`conf`	TILT: Transform Invariant Low-Rank Textures. ACCV (3) Zhengdong Zhang, Xiao Liang, Arvind Ganesh, Yi Ma
2010	J	`jnl`	TILT: Transform Invariant Low-rank Textures CoRR Zhengdong Zhang, Arvind Ganesh, Xiao Liang, Yi Ma
2010	J	`jnl`	The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices. CoRR Zhouchen Lin, Minming Chen, Yi Ma
2010	A	`conf`	Towards a robust face recognition system using compressive sensing. INTERSPEECH Allen Y. Yang, Zihan Zhou, Yi Ma, Shankar Sastry
2009	J	`jnl`	Classification via Minimum Incremental Coding Length. SIAM J. Imaging Sci. John Wright, Yi Ma, Yangyu Tao, Zhouchen Lin, Heung-Yeung Shum
2009	C	`conf`	Data-driven image completion by image patch subspaces. PCS Hossein Mobahi, Shankar R. Rao, Yi Ma
2009	Misc	`conf`	Dense error correction via l1-minimization. ICASSP John Wright, Yi Ma
2009	C	`conf`	Distributed Video Coding using Compressive Sampling. PCS Josep Prades-Nebot, Yi Ma, Thomas S. Huang
2009	A*	`conf`	Face recognition with contiguous occlusion using markov random fields. ICCV Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, Yi Ma
2009	—	`conf`	Learning Topology of Curves with Application to Clustering. AAAI Fall Symposium: Manifold Learning and Its Applications Hossein Mobahi, Shankar R. Rao, Yi Ma
2009	C	`conf`	Minimum sum of distances estimator: Robustness and stability. ACC Yoav Sharon, John Wright, Yi Ma
2009	—	`conf`	Natural Image Segmentation with Adaptive Texture and Boundary Encoding. ACCV (1) Shankar R. Rao, Hossein Mobahi, Allen Y. Yang, Shankar Sastry, Yi Ma
2009	J	`jnl`	Robust Face Recognition via Sparse Representation. IEEE Trans. Pattern Anal. Mach. Intell. John Wright, Allen Y. Yang, Arvind Ganesh, S. Shankar Sastry, Yi Ma
2009	—	`conf`	Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization. NIPS John Wright, Arvind Ganesh, Shankar R. Rao, YiGang Peng, Yi Ma
2009	J	`jnl`	Robust Principal Component Analysis? CoRR Emmanuel J. Candès, Xiaodong Li, Yi Ma, John Wright
2009	Misc	`conf`	Separation of a subspace-sparse signal: Algorithms and conditions. ICASSP Arvind Ganesh, Zihan Zhou, Yi Ma
2009	A*	`conf`	Towards a practical face recognition system: Robust registration and illumination by sparse representation. CVPR Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Yi Ma
2008	B	`conf`	Demo: Robust face recognition via sparse representation. FG John Wright, Arvind Ganesh, Zihan Zhou, Andrew Wagner, Yi Ma
2008	J	`jnl`	Dense Error Correction via L1-Minimization CoRR John Wright, Yi Ma
2008	J	`jnl`	Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed Data. SIAM Rev. Yi Ma, Allen Y. Yang, Harm Derksen, Robert M. Fossum
2008	B	`conf`	Face hallucination VIA sparse coding. ICIP Jianchao Yang, Hao Tang, Yi Ma, Thomas S. Huang
2008	A*	`conf`	Image super-resolution as sparse representation of raw image patches. CVPR Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
2008	A*	`conf`	Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories. CVPR Shankar R. Rao, Roberto Tron, René Vidal, Yi Ma
2008	B	`conf`	Nearest-Subspace Patch Matching for face recognition under varying pose and illumination. FG Zihan Zhou, Arvind Ganesh, John Wright, Shen-Fu Tsai, Yi Ma
2008	J	`jnl`	Unsupervised segmentation of natural images via lossy data compression. Comput. Vis. Image Underst. Allen Y. Yang, John Wright, Yi Ma, S. Shankar Sastry
2007	—	`conf`	Classification via Minimum Incremental Coding Length (MICL). NIPS John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-Yeung Shum
2007	—	`ed.`	Dynamical Vision, ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006. Revised Papers WDV René Vidal, Anders Heyden, Yi Ma
2007	J	`jnl`	Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression. IEEE Trans. Pattern Anal. Mach. Intell. Yi Ma, Harm Derksen, Wei Hong, John Wright
2007	C	`conf`	Segmentation of multivariate mixed data via lossy coding and compression. VCIP Harm Derksen, Yi Ma, Wei Hong, John Wright
2007	C	`conf`	The algebra and statistics of generalized principal component analysis. VCIP Shankar R. Rao, Harm Derksen, Robert M. Fossum, Yi Ma, Andrew Wagner, Allen Y. Yang
2006	J	`jnl`	A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation. J. Math. Imaging Vis. René Vidal, Yi Ma
2006	—	`conf`	Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data. ECCV (4) Wei Hong, Bogdan Georgescu, Xiang Sean Zhou, Sriram Krishnan, Yi Ma, Dorin Comaniciu
2006	—	`conf`	Homography from Coplanar Ellipses with Application to Forensic Blood Splatter Reconstruction. CVPR (1) John Wright, Andrew Wagner, Shankar R. Rao, Yi Ma
2006	J	`jnl`	Multiscale Hybrid Linear Models for Lossy Image Representation. IEEE Trans. Image Process. Wei Hong, John Wright, Kun Huang, Yi Ma
2006	—	`conf`	Robust Statistical Estimation and Segmentation of Multiple Subspaces. CVPR Workshops Allen Y. Yang, Shankar R. Rao, Yi Ma
2006	J	`jnl`	Two-View Multibody Structure from Motion. Int. J. Comput. Vis. René Vidal, Yi Ma, Stefano Soatto, Shankar Sastry
2005	A*	`conf`	A Multi-Scale Hybrid Linear Model for Lossy Image Representation. ICCV Wei Hong, John Wright, Kun Huang, Yi Ma
2005	J	`jnl`	Generalized Principal Component Analysis (GPCA). IEEE Trans. Pattern Anal. Mach. Intell. René Vidal, Yi Ma, Shankar Sastry
2005	—	`conf`	Identification of Deterministic Switched ARX Systems via Identification of Algebraic Varieties. HSCC Yi Ma, René Vidal
2005	A*	`conf`	Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis. ICCV Shankar R. Rao, Allen Y. Yang, Andrew Wagner, Yi Ma
2005	—	`conf`	Segmentation of a Piece-Wise Planar Scene from Perspective Images. CVPR (1) Allen Y. Yang, Shankar R. Rao, Andrew Wagner, Yi Ma
2005	J	`jnl`	Symmetry-based 3-D reconstruction from perspective images. Comput. Vis. Image Underst. Allen Y. Yang, Kun Huang, Shankar R. Rao, Wei Hong, Yi Ma
2005	J	`jnl`	Symmetry-based photo-editing. Pattern Recognit. Kun Huang, Wei Hong, Yi Ma
2004	—	`conf`	A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials. CVPR (1) René Vidal, Yi Ma, Jacopo Piazzi
2004	—	`conf`	A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation. ECCV (1) René Vidal, Yi Ma
2004	—	`conf`	Identification of hybrid linear time-invariant systems via subspace embedding and segmentation (SES). CDC Kun Huang, Andrew Wagner, Yi Ma
2004	A*	`conf`	Large-baseline Matching and Reconstruction from Symmetry Cells. ICRA Kun Huang, Allen Y. Yang, Wei Hong, Yi Ma
2004	—	`conf`	Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications. CVPR (2) Kun Huang, Yi Ma, René Vidal
2004	—	`conf`	Multiple-view geometry for image-based modeling. SIGGRAPH Course Notes Jana Kosecká, Yi Ma, Stefano Soatto, René Vidal
2004	J	`jnl`	On Symmetry and Multiple-View Geometry: Structure, Pose, and Calibration from a Single Image. Int. J. Comput. Vis. Wei Hong, Allen Y. Yang, Kun Huang, Yi Ma
2004	J	`jnl`	Rank Conditions on the Multiple-View Matrix. Int. J. Comput. Vis. Yi Ma, Kun Huang, René Vidal, Jana Kosecka, Shankar Sastry
2004	—	`conf`	Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features. ECCV (3) Wei Hong, Yi Ma, Yizhou Yu
2004	B	`conf`	Sparse representation of images with hybrid linear models. ICIP Kun Huang, Allen Y. Yang, Yi Ma
2003	—	`conf`	An algebraic geometric approach to the identification of a class of linear hybrid systems. CDC René Vidal, Stefano Soatto, Yi Ma, Shankar Sastry
2003	—	`conf`	Generalized Principal Component Analysis (GPCA). CVPR (1) René Vidal, Yi Ma, Shankar Sastry
2003	A*	`conf`	Geometric Segmentation of Perspective Images Based on Symmetry Groups. ICCV Allen Y. Yang, Shankar R. Rao, Kun Huang, Wei Hong, Yi Ma
2003	A*	`conf`	On Exploiting Occlusions in Multiple-view Geometry. ICCV Paolo Favaro, Alessandro Duci, Yi Ma, Stefano Soatto
2003	A*	`conf`	Structure and pose from single images of symmetric objects with applications to robot navigation. ICRA Allen Y. Yang, Wei Hong, Yi Ma
2003	—	`conf`	Symmetry-Based Photo Editing. HLK Kun Huang, Wei Hong, Yi Ma
2002	—	`conf`	Generalized Rank Conditions in Multiple View Geometry with Applications to Dynamical Scenes. ECCV (2) Kun Huang, Robert M. Fossum, Yi Ma
2002	A*	`conf`	Multiple View Motion Estimation and Control for Landing an Unmanned Aerial Vehicle. ICRA Omid Shakernia, René Vidal, Courtney S. Sharp, Yi Ma, Shankar Sastry
2001	A*	`conf`	Optimal Motion Estimation from Multiview Normalized Epipolar Constraint. ICCV René Vidal, Yi Ma, Shawn Hsu, Shankar Sastry
2001	J	`jnl`	Optimal motion estimation from multiple images by normalized epipolar constraint. Commun. Inf. Syst. Yi Ma, René Vidal, Shawn Hsu, Shankar Sastry
2001	J	`jnl`	Optimization Criteria and Geometric Algorithms for Motion and Structure Estimation. Int. J. Comput. Vis. Yi Ma, Jana Kosecka, Shankar Sastry
2001	—	`conf`	Recognition of Human Gaits. CVPR (2) Alessandro Bissacco, Alessandro Chiuso, Yi Ma, Stefano Soatto
2000	J	`jnl`	Euclidean Reconstruction and Reprojection Up to Subgroups. Int. J. Comput. Vis. Yi Ma, Stefano Soatto, Jana Kosecka, Shankar Sastry
2000	—	`conf`	Kruppa Equation Revisited: Its Renormalization and Degeneracy. ECCV (2) Yi Ma, René Vidal, Jana Kosecka, Shankar Sastry
2000	J	`jnl`	Linear Differential Algorithm for Motion Recovery: A Geometric Approach. Int. J. Comput. Vis. Yi Ma, Jana Kosecka, Shankar Sastry
1999	A*	`conf`	Euclidean Reconstruction and Reprojection up to Subgroups. ICCV Yi Ma, Stefano Soatto, Jana Kosecka, Shankar Sastry
1999	—	`conf`	Optimization Criteria, Sensitivity and Robustness of Motion and Structure Estimation. Workshop on Vision Algorithms Jana Kosecka, Yi Ma, Shankar Sastry
1999	J	`jnl`	Vision guided navigation for a nonholonomic mobile robot. IEEE Trans. Robotics Autom. Yi Ma, Jana Kosecká, S. Shankar Sastry
1998	—	`conf`	Motion Recovery from Image Sequences: Discrete Viewpoint vs. Differential Viewpoint. ECCV (2) Yi Ma, Jana Kosecka, Shankar Sastry
1997	—	`conf`	Vision guided navigation for a nonholonomic mobile robot. Block Island Workshop on Vision and Control Yi Ma, Jana Kosecká, Shankar Sastry