3. A New Textbook: High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications,
John Wright and Yi Ma, Cambridge University Press, 2022. Translated and published in Chinese, 2024.
(A pre-production version is available for free download at: the official book website or a mirror site for download in China.)

2. Generalized Principal Component Analysis,
Rene Vidal, Yi Ma, and Shankar Sastry, Interdisciplinary Applied Mathematics #40, Springer, 2016.

1. An Invitation to 3-D Vision: From Images to Geometric Models,
Yi Ma, Stefano Soatto, Jana Kosecka, and Shankar Sastry, Interdisciplinary Applied Mathematics #26, Springer, 2003.

5. Open the Black Box of Transformers:
White-Box Transformers via Sparse Rate Reduction: Compression is All There is?
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, and Yi Ma, arXiv:2311.13110, JMLR, 2024.

4. A Position Paper on Basic Principles of Learning via Compression:
On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence,
Yi Ma, Doris Tsao, and Heung-Yeung Shum, arXiv:2207.04630 and published in FITEE, 2022.

3. Close the Loop for Autonomous Learning:
CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction,
Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, et. al. and Yi Ma, arXiv:2111.06636 and published in Entropy, March 2022.

2. Open the Black Box of ResNets and CNNs:
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction,
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, and Yi Ma, arXiv:2104.10446 and published in JMLR, 2022.

1. Original Paper Introducing Rate Distortion for Learning via Compression:
Segmentation of Multivariate Mixed Data via Lossy Coding and Compression,
Yi Ma, Harm Derksen, Wei Hong, and John Wright, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 29, no. 9, pages 1546-1562, September 2007.

More Theoretical and Experimental Evidences:

13. Scaling White-Box Transformers for Vision,
Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yaodong Yu, Yi Ma, and Cihang Xie, NeurIPS, 2024.

12. A Global Geometric Analysis of Maximal Coding Rate Reduction,
Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, and Yi Ma, ICML 2024.

11. Masked Completion via Structured Diffusion with White-Box Transformers,
Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, and Yi Ma, arXiv:2404.02446, ICLR 2024.

10. Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models,
Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, Rene Vidal, and Yi Ma, arXiv:2306.05272, ICLR 2024.

9. Unsupervised Learning of Structured Representations via Closed-Loop Transcription,
Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, and Yi Ma, arXiv:2210.16782, CPAL 2024.

8. Closed-Loop Transcription via Convolutional Sparse Coding,
Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel Ni, Yi Ma, CPAL 2024.

7. Emergence of Segmentation with Minimalistic White-Box Transformers,
Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma, arXiv:2308.16271, CPAL 2024.

6. Unsupervised Manifold Linearizing and Clustering,
Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele, arXiv:2301.01805, ICCV 2023.

5. Incremental Learning of Structured Memory via Closed-Loop Transcription,
Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, and Yi Ma, arXiv:2202.05411, ICLR 2023.

4. Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games,
Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, and Yi Ma, arXiv:2206.09120, Journal of the Franklin Institute, 2022.

3. Segmentation of Natural Images by Texture and Boundary Compression,
Hossein Mobahi, Shankar Rao, Allen Yang, Shankar Sastry, and Yi Ma, Volume 95, Number 1, page 86-98, International Journal of Computer Vision (IJCV), October 2011.

2. Motion Segmentation in the Presence of Outlying, Incomplete, and Corrupted Trajectories,
Shankar Rao, Roberto Tron, Rene Vidal, and Yi Ma, vol. 32, no. 10, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), October 2010.

1. Classification via Minimum Incremental Coding Length (MICL),
John Wright, Yi Ma, Yangyu Tao, Zhouchen Lin, and Heung-Yeung Shum, SIAM Journal on Imaging Science, 2009.

65. White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, and Yi Ma, arXiv:2311.13110, accepted by JMLR, May 2024.

64. Representation Learning via Manifold Flattening and Reconstruction,
Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma, arXiv:2305.01777, accepted by JMLR, February 2024.

63. Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games,
Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, and Yi Ma, arXiv:2206.09120, Journal of the Franklin Institute, 2023.

62. On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence,
Yi Ma and Doris Tsao and Heung-Yeung Shum, arXiv:2207.04630, FITEE, 2022.

61. Fully Convolutional Line Parsing,
Xili Dai, Xiaojun Yuan, Haigang Gong, and Yi Ma, arXiv:2104.11207, Neurocomputing, 2022.

60. CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction,
Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, et. al. and Yi Ma, first released as arXiv:2111.06636, Entropy (special issue on Information Theory and Machine Learning), March 2022.

59. ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction,
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, and Yi Ma, arXiv:2104.10446, Journal of Machine Learning Research (JMLR), 2022.

58. Computational Benefits of Intermediate Rewards for Hierarchical Planning,
Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, and Yi Ma, arXiv:2107.03961, Journal of Artificial Intelligence Research, 2022.

57. Learning and Meshing from Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching,
Jiabao Lei, Kui Jia, and Yi Ma, arXiv:2106.10031, IEEE Transactions to Pattern Analysis and Machine Intelligence, 2021.

56. Towards Unified Acceleration of High-Order Algorithms under Holder Continuity and Uniform Convexity,
Chaobing Song and Yi Ma, arXiv:1906.00582 (posted June 2019), SIAM Journal on Optimization (SIOPT), 2021.

55. Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group,
Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, and Yi Ma, arXiv:1906.02435 (posted June 2019), Journal of Machine Learning Research (JMLR), 2020.

54. Parameter-free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy,
Xu Zhou, Rafael Molina, Yi Ma , Tianfu Wang, and Dong Ni, IEEE Transactions on Image Processing, November 2019.

53. TARM: A Turbo-type Algorithm for Affine Rank Minimization,
Zhipeng Xue, Xiaojun Yuan, Junjie Ma, and Yi Ma, arXiv:1802.03704, IEEE Transactions on Signal Processing, September 2019.

52. Robust Low-Rank Tensor Recovery with Rectification and Alignment,
Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, and Yi Ma, IEEE Transactions on Pattern Analysis and Machine Intelligence, July 2019.

51. Robust Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image and Video Denoising,
Weisheng Dong, Tao Huang, Guangming Shi, Yi Ma and Xin Li, IEEE Journal of Special Topics on Signal Processing, 2018.

50. Label Information Guided Graph Construction for Semi-Supervised Learning,
Liansheng Zhuang, Zihan Zhou, Shenghua Gao, Jingwen Yin, Zhouchen Lin, and Yi Ma, IEEE Transactions on Image Processing, 2017.

49. Texture Repairing by Unified Low Rank Optimization,
Xiao Liang, Xiang Ren, Zhengdong Zhang, and Yi Ma, Journal of Computer Science and Technology, 31 (3), 525-546, 2016.

48. PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, and Yi Ma, posted on arXiv.org, and in IEEE Transactions on Image Processing, September 2015. (Sample Matlab codes can be found here .)

47. ROML: A Robust Feature Correspondence Approach for Matching Objects in a Set of Images,
Kui Jia, Tsung-Han Chan, Zinan Zeng, and Yi Ma, International Journal of Computer Vision, September 2015.

46. Constructing a Non-Negative Low-Rank and Sparse Graph with Data-Adaptive Features,
Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma, and Nenghai Yu, accepted by IEEE Transactions on Image Processing (TIP), May 2015.

45. Image Restoration via Simultaneous Sparse Coding and Gaussian Scale Mixture,
Weisheng Dong, Guangming Shi, Yi Ma, and Xin Li, accepted by International Journal of Computer Vision, February 2015.

44. Nonlocal Sparse and Low-rank Regularization for Optical Flow Estimation,
Weisheng Dong, Guangming Shi, Xiaocheng Hu, Yi Ma, accepted by IEEE Transactions on Image Processing (TIP), August 2014.

43. Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment,
Liangsheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, and Yi Ma, accepted by International Journal of Computer Vision (IJCV), July 2014.

42. Compressive Sensing via Nonlocal Low-rank Regularization,
Weisheng Dong, Guangming Shi, Xin Li, Yi Ma, and Feng Huang, IEEE Transactions on Image Processing (TIP), 23(8): 3618-3632, August 2014. (Source code of algorithms in this paper is available at: here).

41. Fast Low-Rank Subspace Segmentation,
Xin Zhang, Fuchun Sun, Guangcan Liu, and Yi Ma, IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(5) 1293-1297, May 2014.

40. MMSE Design of Time and Color Multiplexing Codes,
Tsung-Han Chan, Kui Jia, Eliot Wycoff, and Yi Ma, IEEE Transactions on Signal Processing (TSP), 62(5): 1157-1170, March 1, 2014.

39. Robust Subspace Discovery via Relaxed Rank Minimization,
Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, and Zhuowen Tu, Neural Computation, 26(3): 611-635, March 2014.

38. Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization,
Shenghua Gao, Yi Ma, IEEE Transactions on Image Processing (TIP), 23(2): 623-634, Feb. 2014.

37. A New View-Invariant Feature for Cross-View Gait Recognition,
Worapan Kusakunniran, Liang Wang, Jian Zhang, Yi Ma et. al., IEEE Transactions on Information Forensics & Security (TIFS), 8(10) 1642-1653, October 2013.

36. Rotation-invariant Features for Multi-oriented Text Detection in Natural Images,
Cong Yao, Xin Zhang, Xiang Bai, Wenyu Liu, Yi Ma, and Zhuowen Tu, PLOS ONE, August 05, 2013.

35. Fast l1-Minimization Algorithms for Robust Face Recognition,
Allen Yang, Zihan Zhou, Arvind Ganesh, Shankar Sastry, and Yi Ma, IEEE Transactions on Image Processing (TIP), 22(8): 3234-3246, August 2013.

34. Compressive Principal Component Pursuit,
John Wright, Arvind Ganesh, Kerui Min, and Yi Ma , Journal of IMA on Information and Inference, 2(1): 32-68, June 12, 2013.

33. Robust Recovery of Subspace Structures by Low-Rank Representation,
Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, and Yi Ma, vol. 35, issue 1, page 171-184, the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), January 2013.

32. RASL: Robust Alignment by Sparse and Low-rank Decomposition for Linearly Correlated Images,
Yigang Peng, Arvind Ganesh, John Wright, Wenli Xu, and Yi Ma, vol. 34, no. 11, page 2233-2246, the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), December 2012.

31. TILT: Transform-Invariant Low-rank Textures,
Zhengdong Zhang, Arvind Ganesh, Xiao Liang, and Yi Ma, Volume 99, Number 1, page 1-24, the International Journal of Computer Vision (IJCV), August 2012.

30. Towards a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation,
Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Hossein Mobahi, and Yi Ma, Volume 34, Issue 2, page 372-386, the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), February 2012.

29. Segmentation of Natural Images by Texture and Boundary Compression,
Hossein Mobahi, Shankar Rao, Allen Yang, Shankar Sastry, and Yi Ma, Volume 95, Number 1, page 86-98, the International Journal of Computer Vision (IJCV), October 2011.

28. Robust Principal Component Analysis?
Emmanuel Candes, Xiaodong Li, Yi Ma, and John Wright, vol. 58, issue 3, article 11, Journal of the ACM, May 2011.

27. Image Super-Resolution via Sparse Representation,
Jianchao Yang, John Wright, Thomas Huang, and Yi Ma, vol. 19, page 2861-2873, IEEE Transactions on Image Processing (TIP), November 2010.

26. Dense Error Correction via l1 Minimization,
John Wright and Yi Ma, vol. 56, no. 7, IEEE Transactions on Information Theory (TIT), July 2010.

25. Motion Segmentation in the Presence of Outlying, Incomplete, and Corrupted Trajectories,
Shankar Rao, Roberto Tron, Rene Vidal, and Yi Ma, vol. 32, no. 10, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), October 2010.

24. Sparse Representation for Computer Vision and Pattern Recognition,
John Wright, Yi Ma, Julien Mairal, Guillermo Sapiro, Thomas Huang, and Shuicheng Yan, the Proceedings of the IEEE, June 2010.

23. On the Role of Sparse and Redundant Representation in Image Processing,
Michael Elad, Mario A.T. Figueiredo, and Yi Ma, the Proceedings of the IEEE, June 2010.

22. Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions,
Shaknar Rao, Allen Yang, Shankar Sastry, and Yi Ma, International Journal of Computer Vision (IJCV), vol.88, pages 425-446, 2010.

21. Classification via Minimum Incremental Coding Length (MICL),
John Wright, Yi Ma, Yangyu Tao, Zhouchen Lin, and Heung-Yeung Shum, SIAM Journal on Imaging Science, 2009.

20. Robust Face Recognition via Sparse Representation, and its online supplementary material
John Wright, Allen Yang, Arvind Ganesh, Shankar Sastry, and Yi Ma, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 31. no.2, February 2009.

20(b). A related tutorial on Sparsity and Robustness in Face Recognition, which clarifies some confusions and misunderstandings in the literature.
John Wright, Arvind Ganesh, Allen Yang, Zihan Zhou, and Yi Ma, arXiv:1111.1014, November 5, 2011.

19. Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed Data, with comments from the editor.
Yi Ma, Allen Yang, Harm Derksen, and Robert Fossum, SIAM Review, vol.50, no. 3, August 2008.

18. Unsupervised Segmentation of Natural Images via Lossy Data Compression,
Allen Yang, John Wright, Yi Ma, and Shankar Sastry, Computer Vision and Image Understanding (CVIU), vol. 110, no. 2, pages 212-225, May 2008.

17. Segmentation of Multivariate Mixed Data via Lossy Coding and Compression,
Yi Ma, Harm Derksen, Wei Hong, and John Wright, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 29, no. 9, pages 1546-1562, September 2007.

16. Multi-Scale Hybrid Linear Models for Lossy Image Representation,
Wei Hong, John Wright, Kun Huang, and Yi Ma, IEEE Transactions on Image Processing (TIP), vol. 15, no. 12, pages 3655-3671, December 2006.

15. A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation,
Rene Vidal and Yi Ma, Journal of Mathematical Imaging & Vision (JMIV), vol. 25, pages 403-421, November 2006.

14. Two-View Multibody Structure from Motion,
Rene Vidal, Yi Ma, Stefano Soatto, and Shankar Sastry, International Journal of Computer Vision (IJCV), special issue on Dynamic Vision, vol. 68, no. 1, pages 7-25, June 2006.

13. Generalized Principal Component Analysis (GPCA),
Rene Vidal, Yi Ma, and Shankar Sastry, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 27, no. 12, pages 1945-1959, December 2005.

12. Symmetry Based Photo Editing,
Kun Huang, Wei Hong, Yi Ma, Pattern Recognition (PR), the Special Issue on Image Understanding for Digital Photos, vol. 38, pages 825-834, 2005.

11. Symmetry-Based 3-D Reconstruction from Perspective Images,
Allen Yang, Kun Huang, Shankar Rao, and Yi Ma, Computer Vision and Image Understanding (CVIU), vol. 99, issue 2, pages 210-240, August 2005

10. A Survey of Geometric Vision,
Kun Huang, Yi Ma, invited book chapter, Robotics and Automation Handbook, edited by Thomas Kurfess, chapter 22, pages 1-25, CRC press, 2005.

9. On Symmetry and Multiple View Geometry: Structure, Pose and Calibration from a Single Image,
Wei Hong, Yang Yang, Yi Ma, the International Journal of Computer Vision (IJCV), vol. 60, no. 3, pages 241-265, December, 2004.

8. Rank Conditions on the Multiple View Matrix,
Yi Ma, Kun Huang, Rene Vidal, Jana Kosecka and Shankar S. Sastry, International Journal of Computer Vision (IJCV), vol. 59, no. 2, pages 115-137, September 2004.

7. A Differential Geometric Approach to Multiple View Geometry in Spaces of Constant Curvature,
Yi Ma, International Journal of Computer Vision (IJCV), vol. 58, no.1, pages 37-53, 2004.

6. Optimization Criteria and Geometric Algorithms for Motion and Structure Estimation,
Yi Ma, Jana Kosecka and Shankar S. Sastry, International Journal of Computer Vision (IJCV), vol. 44, no. 3, pages 219-249, 2001.

5. Optimal Motion from Multiple Views by Normalized Epipolar Constraints,
Yi Ma, Rene Vidal, Shawn Hsu and Shankar S. Sastry, Communications in Information and Systems (CIS), vol. 1, no. 1, pages 51-73, 2001.

4. Euclidean Reconstruction and Reprojection up to Subgroups,
Yi Ma, Stefano Soatto, Jana Kosecka and Shankar S. Sastry, the special issue of International Journal of Computer Vision (IJCV) for David Marr's best paper prize, vol. 38, no. 3, pages 217-227, 2000.

3. Linear Differential Algorithm for Motion Recovery: A Geometric Approach,
Yi Ma, Jana Kosecka and Shankar S. Sastry, International Journal of Computer Vision (IJCV), vol. 36, no. 1, pages 71-89, 2000.

2. Landing an Unmanned Aerial Vehicle: Vision Based Motion Estimation and Nonlinear Control,
Omid Shakernia, Yi Ma, John Koo and Shankar S. Sastry, Asian Journal of Control (AJC), vol. 1, no. 3, pages 128-145, 1999.

1. Vision Guided Navigation for A Nonholonomic Mobile Robot,
Yi Ma, Jana Kosecka and Shankar S. Sastry, the IEEE Transactions on Robotics and Automation (TRA), vol. 15, no. 3, pages 521-537, June 1999.

148. Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning,
Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, and Sergey Levine, NeurIPS 2024.

147. Scaling White-Box Transformers for Vision,
Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yaodong Yu, Yi Ma, and Cihang Xie, NeurIPS 2024.

146. Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation,
Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, and Hongyang Li, NeurIPS 2024.

145. A Global Geometric Analysis of Maximal Coding Rate Reduction,
Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, and Yi Ma, ICML 2024.

144. Learning a Diffusion Model Policy from Rewards via Q-Score Matching,
Michael Psenka, Alejandro Escontrela, Pieter Abbeel, and Yi Ma, arXiv:2312.11752, ICML 2024.

143. Differentially Private Representation Learning via Image Captioning,
Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Oliviero Durmus, Yi Ma, Kamalika Chaudhuri, and Chuan Guo, arXiv:2403.02506, ICML 2024.

142. ViP: A Differentially Private Foundation Model for Computer Vision,
Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, and Chuan Guo, arXiv:2306.08842, ICML 2024.

141. Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs,
Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, and Saining Xie, arXiv:2401.06209, oral presentation, CVPR 2024.

140. Masked Completion via Structured Diffusion with White-Box Transformers,
Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, and Yi Ma, arXiv:2404.02446, ICLR 2024.

139. RLIF: Interactive Imitation Learning as Reinforcement Learning,
Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, and Sergey Levine, arXiv:2311.12996, ICLR 2024.

138. Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models,
Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, Rene Vidal, and Yi Ma, arXiv:2306.05272, ICLR 2024.

137. Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning,
Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma, CPAL 2024.

136. Closed-Loop Transcription via Convolutional Sparse Coding,
Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel Ni, Yi Ma, CPAL 2024.

135. Unsupervised Learning of Structured Representation via Closed-Loop Transcription,
Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, ZENGYI LI, Brent Yi, Yann LeCun, Yi Ma, CPAL 2024.

134. Emergence of Segmentation with Minimalistic White-Box Transformers,
Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma, arXiv:2308.16271, CPAL 2024.

133. General In-hand Object Rotation with Vision and Touch,
Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik, arXiv:2309.09979, CoRL 2023.

132. Canonical Factors for Hybrid Neural Fields,
Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma, International Conference on Computer Vision (ICCV), 2023.

131.Unsupervised Manifold Linearizing and Clustering,
Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele, arXiv:2301.01805, International Conference on Computer Vision (ICCV), 2023.

130. White-Box Transformers via Sparse Rate Reduction
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, and Yi Ma, arXiv:2306.01129, NeurIPS 2023.

129.Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning,
Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine, arXiv:2303.05479, NeurIPS 2023.

128. Understanding the Complexity Gains of Single-Task RL with a Curriculum,
Qiyang Li, Yuexiang Zhai, Yi Ma, and Sergey Levine, arXiv:2212.12809, ICML, 2023.

127. Minimalistic Unsupervised Learning with the Sparse Manifold Transform,
Yubei Chen, Zeyu Yun, Yi Ma, Bruno Olshausen, and Yann LeCun, arXiv:2209.15261, ICLR 2023.

126. Incremental Learning of Structured Memory via Closed-Loop Transcription,
Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, and Yi Ma, arXiv:2202.05411, ICLR 2023.

125. In-Hand Object Rotation via Rapid Motor Adaptation,
Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, and Jitendra Malik, CoRL 2022.

124. Revisiting Sparse Convolutional Model for Visual Recognition
Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, and Yi Ma, arXiv:2210.12945, NeurIPS 2022.

123. BooNTK: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels,
Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, and Michael Jordan, NeurIPS 2022.

122. Robust Calibration with Multi-domain Temperature Scaling,
Yaodong Yu, Stephen Bates, Yi Ma, and Michael Jordan, NeurIPS 2022.

121. Predicting Out-of-Distribution Error with the Projection Norm,
Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma and Jacob Steinhardt, arXiv:2202.05834, ICML, 2022.

120. Efficient Maximal Coding Rate Reduction by Variational Form,
Christina Baek, Ziyang Wu, Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin Haeffele, CVPR 2022.

119. On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging,
Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan arXiv:2107.00464, AISTATS 2022.

118. Disentangled Representation Learning for Controllable Image Synthesis: An Information-Theoretic Perspective,
Shichang Tang, Xu Zhou, Xuming He, and Yi Ma, International Conference on Pattern Recognition (ICPR), 2021.

117. Adversarial Robustness of Stabilized Neural ODEs Might be from Obfuscated Gradients,
Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, and Yuan Yao arXiv:2009.13145, final version to appear in Mathematical and Scientific Machine Learning (MSML), Switzerland, 2021.

116. Learning Long-term Visual Dynamics with Region Proposal Interaction Networks,
Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, and Jitendra Malik, arXiv:2008.02265, ICLR 2021.

115. Incremental Learning via Rate Reduction,
Ziyang Wu, Christina Baek, Chong You, and Yi Ma, arXiv version post at arXiv:2011.14593 in November 2020, CVPR 2021.

114. NeRD: Neural 3D Reflection Symmetry Detector,
Yichao Zhou, Sichen Liu, and Yi Ma, an older arXiv version at: arXiv:2006.10042, CVPR 2021.

113. Deep Networks from the Principle of Rate Reduction,
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, and Yi Ma, arXiv:2010.14765, NeurIPS Beyond Backprop Workshop, December 2020.

112. Optimistic Dual Extrapolation for Non-monotone Variational Inequality,
Chaobing Song, Yichao Zhou, Zhengyuan Zhou, Yong Jiang, and Yi Ma, NeurIPS, December 2020.

111. Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization,
Chaobing Song, Yong Jiang, and Yi Ma, NeurIPS, arXiv:2006.10281, December 2020.

110. Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization,
Chong You, Zhihui Zhu, Qing Qu, and Yi Ma, NeurIPS (spotlight), arXiv:2006.08857, December 2020.

109. Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction,
Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, and Yi Ma, NeurIPS, arXiv:2006.08558, December 2020.

108. Deep Isometric Learning for Visual Recognition,
Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, and Jitendra Malik, ICML2020.

107. Rethinking Bias-Variance Trade-off for Generalization of Neural Networks,
Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma, ICML2020, arXiv:2002.11328, 2020.

106. Understanding L4-based Dictionary Learning: Interpretation, Stability, and Robustness,
Yuexiang Zhai, Hermish Mehta, Zhengyuan Zhou, and Yi Ma, International Conference on Learning Research (ICLR), 2020.

105. NeurVPS: Neural Vanishing Point Scanning via Conic Convolution,
Yichao Zhou, Haozhi Qi, and Yi Ma, NeurIPS, 2019.

104. End-to-End Wireframe Parsing,
Yichao Zhou, Haozhi Qi, and Yi Ma, International Conference on Computer Vision (ICCV), 2019.

103. Learning to Reconstruct 3D Manhattan Wireframes from a Single Image,
Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, and Yi Ma, International Conference on Computer Vision (ICCV), 2019.

102. A Fast Holistic Algorithm for Complete Dictionary Learning via L4 Norm Maximization,
Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, and Yi Ma, Best Student Paper finalists of SPARS, 2019.

101. Fine-grained Video Categorization with Redundancy Reduction Attention,
Chen Zhu, Xiao Tan, Feng Zhou, Xiao Liu, Kaiyu Yue, Errui Ding, and Yi Ma, European Conference on Computer Vision (ECCV), 2018.

100. Learning to Parse Wireframes in Images of Man-Made Environments,
Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, and Yi Ma, International Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

99. Structured Attentions for Visual Question Answering,
Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, and Yi Ma, International Conference on Computer Vision (ICCV), 2017.

98. A New Calibration Technique for Multi-Camera Systems of Limited Overlapping Field-of-Views,
Ziran Xing, Jingyi Yu, and Yi Ma, IEEE International Conference on Intelligent Robotics and Systems (IROS), 2017.

97. Robust Plane-based Calibration of Multiple Non-Overlapping Cameras,
Chen Zhu, Zihan Zhou, Zirang Xing, Yanbing Dong, Yi Ma, and Jingyi Yu, Internation Conference on 3D Vision, 2016.

96. Single-Image Crowd Counting via Multi-Column Convolutional Neural Network,
Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, and Yi Ma, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

95. Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising,
Weisheng Dong, Guangyu Li, Guangming Shi, Xin Li, and Yi Ma, International Conference on Computer Vision (ICCV), 2015.

94. Generalized Tensor Total Variation Minimization for Visual Data Recovery,
Xiaojie Guo and Yi Ma, International Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

93. Robust Foreground Detection Using Smoothness and Arbitrariness Constraints,
Xiaojie Guo, Xinggang Wang, Liang Yang, Xiaochun Cao, and Yi Ma, European Conference on Computer Vision (ECCV), 2014.

92. Hybrid Singular Value Thresholding for Tensor Completion,
Xiaoqin Zhang, Zhengyuan Zhou, Di Wang, and Yi Ma, AAAI Conference on Artificial Intelligence (AAAI-14), Quebec City, Canada, 2014.

91. Robust Separation of Reflection from Multiple Images,
Xiaojie Guo, Xiaochun Cao, and Yi Ma, Oral presentation at International Conference on Computer Vision and Pattern Recognition (CVPR), Columbia Ohio, 2014.

90. Partial Occlusion Handling for Visual Tracking via Robust Part Matching,
Tianzhu Zhang, Kui Jia, Changsheng Xu, Yi Ma, Narendra Ahuja, International Conference on Computer Vision and Pattern Recognition (CVPR), Columbia Ohio, 2014.

89. Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors,
Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, and Yi Ma, Advances in Neural Information Processing Systems (NIPS), 2013.

88. A Non-Negative Sparse Promoting Algorithm for High Resolution Hyperspectral Imaging,
Eliot Wycoff, Tsung-Han Chan, Kui Jia, Wing-Kin Ma, and Yi Ma, ICASSP 2013.

87. Joint Topic-Document Modeling via Low-Dimensional Sparse Model,
Kerui Min and Yi Ma, ICASSP 2013.

86. Learning by Associating Ambiguously Labeled Images,
Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, and Yi Ma, International Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

85. Plane-Based Content-Preserving Warps for Video Stabilization,
Zihan Zhou, Hailin Jin, and Yi Ma, International Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

84. Video Editing with Temporal, Spatial and Appearance Consistency,
Xiaojie Guo, Xiaochun Cao, Xiaowu Chen, and Yi Ma, International Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

83. Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illimination Transfer,
Liansheng Zhuang, Allen Yang, Zihan Zhou, Shankar Sastry, and Yi Ma , International Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

82. Robust and Practical Face Recognition via Structured Sparsity,
Kui Jia, Tsung-Han Chan, and Yi Ma, European Conference on Computer Vision (ECCV), October 2012.

81. Towards Optimal Design of Time and Color Multiplexing Codes,
Tsung-Han Chan, Kui Jia, Eliot Wycoff, Chong-Yung Chi, and Yi Ma, European Conference on Computer Vision (ECCV), October 2012.

80. Repairing Sparse Low-rank Texture,
Xiao Liang, Xiang Ren, Zhengdong Zhang, and Yi Ma, European Conference on Computer Vision (ECCV), October 2012.

79. Compressive Principal Component Pursuit,
John Wright, Arvind Ganesh, Kerui Min, and Yi Ma , arXiv:1202.4596 In Proceedings of International Symposium on Information Theory, July 2012.

78. Principal Component Pursuit with Reduced Linear Measurements,
Arvind Ganesh, Kerui Min, John Wright, and Yi Ma, arXiv:1202.6445 In Proceedings of International Symposium on Information Theory, July 2012.

77. Non-Negative Low Rank and Sparse Graph for Semi-Supervised Learning.
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, and Nenghai Yu. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2012.

76. Detecting Texts of Arbitrary Orientations in Natural Images.
Cong Yao, Zhuowen Tu, and Yi Ma. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2012.

75. Seeing through the Blur.
Hossein Mobahi, Lawrence Zitnick, and Yi Ma. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2012.

74. Robust Plane-Based Structure From Motion,
Zihan Zhou, Hailin Jin, and Yi Ma. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2012.

73. Holistic Reconstruction of Urban Structures from Low-rank Textures,
Hossein Mobahi, Zihan Zhou, Allen Y. Yang, and Yi Ma. Workshop on 3D Reconstruction and Recognition, International Conference on Computer Vision (ICCV), October 2011.

72. Unwrapping Low-rank Textures on Generalized Cylindrical Surfaces, Zhengdong Zhang, Xiao Liang, and Yi Ma. In Proceedingsof International Conference on Computer Vision (ICCV), October 2011.

71. Face Recovery in Conference Video Streaming using Robust Principal Component Analysis,
Wai-tian Tan, Gene Cheung, and Yi Ma. In Proceedings of IEEE International Conference on Image Processing (ICIP), Finalist for the Best Paper Award (5 out of 2245 submissions), September 2011.

70. Camera Calibration with Lens Distortion from Low-rank Textures,
Zhengdong Zhang, Yasuyuki Matsushita, and Yi Ma. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2011.

69. TILT: Transform Invariant Low-rank Textures,
Zhengdong Zhang, Xiao Liang, Arvind Ganesh, and Yi Ma. In Proceedings of Asian Conference on Computer Vision, November 2010.

68. Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery,
Lun Wu, Arvind Ganesh, Boxin Shi, Yasuyuki Matsushita, Yongtian Wang, and Yi Ma. In Proceedings of Asian Conference on Computer Vision, November 2010.

67. Image Tag Refinement Towards Low-Rank Content-Tag Prior and Error Sparsity,
Guangyu Zhu, Shuicheng Yan, and Yi Ma, ACM Multimedia, 2010.

66. Decomposing Background Topics from Keywords by Principal Component Pursuit,
Kerui Min, Zhengdong Zhang, John Wright, and Yi Ma, ACM International Conference on Information and Knowledge Management, 2010.

65. Towards a Robust Face Recognition System Using Compressive Sensing, Allen Yang, Zihan Zhou, Yi Ma, and Shankar Sastry, invited paper to InterSpeech, 2010.

64. Fast L1-Minimization Algorithms and an Application in Robust Face Recognition: A Review, Allen Yang, Shankar Sastry, Arvind Ganesh, and Yi Ma, International Conference on Image Processing, 2010.

63. Stable Principal Component Pursuit,
Zihan Zhou, Xiaodong Li John Wright, Emmanuel Candes, and Yi Ma, International Symposium on Information Theory, June 2010.

62. Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit,
Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel Candes, and Yi Ma, International Symposium on Information Theory, June 2010.

61. Compact Projection: Simple and Efficient Near Neighbor Search with Practical Memory Requirements,
Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-Sheng Hua, and Yi Ma, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2010.

60. RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images,
Yigang Peng, Arvind Ganesh, John Wright, and Yi Ma, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2010.

59. Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix,
Arvind Ganesh, Zhouchen Lin, John Wright, Leqin Wu, Minming Chen, and Yi Ma, International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, December 2009.

58. Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization,
John Wright, Arvind Ganesh, Shankar Rao, and Yi Ma, in Proceedings of the Conference on Neural Information Processing Systems (NIPS), December 2009.

57. Face Recognition with Contiguous Occlusion using Markov Random Fields,
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, and Yi Ma, in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2009.

56. Learning Topology of Curves with Applications to Clustering,
Hossein Mobahi, Shankar Rao, and Yi Ma, in Proceedings of AAAI Symposium on Manifold Learning, 2009.

55. Natural Image Segmentation with Adaptive Texture and Boundary Encoding,
Shankar Rao, Hossein Mobahi, Allen Yang, Shankar Sastry, and Yi Ma, the Best Student Paper Award (the Sang Uk Lee Award), in Proceedings of the Asian Conference on Computer Vision, September 2009.

54. Data-Driven Image Completion by Image Patch Subspaces,
Hossein Mobahi, Shankar Rao, and Yi Ma, in Proceedings of the Picture Coding Symposium, 2009.

53. Distributed Video Coding Using Compressive Sampling,
Josep Prades-Nebot, Yi Ma, Thomas Huang, in Proceedings of the Picture Coding Symposium, 2009.

52. Towards a Practical Face Recognition System: Robust Registration and Illumination via Sparse Representation,
Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, and Yi Ma, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2009.

51. Separation of A Subspace-Sparse Signal: Algorithms and Conditions,
Arvind Ganesh, Zihan Zhou, and Yi Ma, in Proceedings of ICASSP, April 2009.

50. Dense Error Correction via L1-Minimization,
John Wright and Yi Ma , in Proceedings of ICASSP, April 2009.

49. Minimum Sum of Distances Estimator: Rubustness and Stability,
Yoav Sharon, John Wright, and Yi Ma, in Proceedings of American Conference on Control, 2009.

48. Nearest-Subspace Patch Matching for Face Recognition Under Varying Pose and Illumination,
Zihan Zhou, Arvind Ganesh, John Wright, Shen-Fu Tsai, and Yi Ma, in Proceedings of IEEE Conference on Face and Gesture Recognition, 2008.

47. Face Hallucination via Sparse Coding,
Jianchao Yang, Hao Tang, Yi Ma, and Thomas Huang, in Proceedings of International Conference on Image Processing (ICIP), 2008.

46. Motion Segmentation via Robust Subspace Separation in the Presence of Outlying, Incomplete, or Corrupted Trajectories,
Shankar Rao, Roberto Tron, Rene Vidal, and Yi Ma, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.

45. Image Super-Resolution as Sparse Representation of Raw Image Patches,
Jianchao Yang, John Wright, Thomas Huang, and Yi Ma, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.

44. Classification via Minimum Incremental Coding Length (MICL),
John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, and Heung-Yeung Shum, in Proceedings of the Conference on Neural Information Processing Systems (NIPS), December 2007.

43. Segmentation of Multivariate Mixed Data via Lossy Coding and Compression,
John Wright, Wei Hong, Yi Ma, and Harm Derksen, SPIE conference on Visual Communications and Image Processing (VCIP), January 2007.

42. The Algebra and Statistics of Generalized Principal Component Analysis,
Shankar Rao, Harm Derksen, Robert Fossum, Yi Ma, Andrew Wagner, and Allen Yang, SPIE conference on Visual Communications and Image Processing (VCIP), January 2007.

41. Database-Guided Simultaneous Multi-Slice 3-D Segmentation for Volumetric Data,
Wei Hong, Bogdan Georgescu, Xiang Sean Zhou, Sriram Krishnan, Yi Ma, and Dorin Comaniciu, European Conference on Computer Vision (ECCV), Graz, Austria, May 2006.

40. Robust Statistical Estimation and Segmentation of Multiple Subspaces,
Allen Y. Yang, Shankar R. Rao, and Yi Ma, CVPR workshop on 25 years of RANSAC, June 2006.

39. Homographies and Matching of Ellipses with Application to Forensic Bloodspatter Reconstruction,
John Wright, Andrew Wagner, Shankar Rao, and Yi Ma, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2006.

38. Segmentation of Hybrid Motions via Generalized Principal Surface Analysis,
Shankar Rao, Allen Yang, Andrew Wagner, and Yi Ma, International Conference on Computer Vision (ICCV), Beijing, China, October 2005.

37. Hilbert Functions and Applications to the Estimation of Subspace Arrangement,
Allen Yang, Yi Ma and Robert Fossum, International Conference on Computer Vision (ICCV), Beijing, China, October 2005.

36. A Multi-Scale Hybrid Linear Model for Lossy Image Representation,
Wei Hong, John Wright, Yi Ma and Kun Huang, International Conference on Computer Vision (ICCV), Beijing, China, October 2005.

35. Segmentation of a piece-wise planar scene from perspective images,
Allen Y. Yang, Shankar Rao, Andrew Wagner and Yi Ma, in the proceedings of IEEE Confernece on Computer Vision and Pattern Recognition (CVPR), 2005.

34. Indentification of Deterministic Hybrid ARX Systems via the Identification of Algebraic Varieties,
Yi Ma and Rene Vidal, the workshop on Hybrid Systems: Computation and Control (HSCC), Zurich, Switzerland, 2005.

33. Sparse Representation of Image with Hybrid Linear Models,
Kun Huang, Allen Yang, Yi Ma, International Conference on Image Processing (ICIP), Singapore, October 2004.

32. Clustering Subspaces By Fitting, Differentiating and Dividing Polynomials,
Rene Vidal and Yi Ma, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington DC, 2004.

31. Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and its Applications,
Kun Huang, Yi Ma, and Rene Vidal, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington DC, 2004.

30. Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features,
Wei Hong, Yi Ma, and Yizhou Yu, in Proceedings of the European Conference on Computer Vision (ECCV), Prague, 2004.

29. A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation via Polynomial Fitting and Differentiating,
Rene Vidal and Yi Ma, Honorable Mention for the Best Paper Award (the Longuet-Higgins Prize), in Proceedings of the European Conference on Computer Vision (ECCV), Prague, 2004.

28. Identification of Hybrid Linear Time-Invariant Systems via Subspace Embedding and Segmentation,
Kun Huang, Andrew Wagner, and Yi Ma, in Proceedings of IEEE Conference on Decision and Control (CDC), Bahamas, 2004.

27. Large Baseline Matching and Reconstruction from Symmetry Cells,
Kun Huang, Allen Yang Yang, Wei Hong Yi Ma, in Proceedings of the International Conference on Robotics and Automation (ICRA), New Orleans, 2004.

26. On Exploiting Occlusions in Multiple-View Geometry,
Paolo Favaro, Alessandro Duci, Yi Ma, Stefano Soatto, International Conference on Computer Vision (ICCV), October 2003.

25. Geometric Segmentation of Perspective Images Based on Symmetry Groups,
Yang Yang, Shankar Rao, Wei Hong, Yi Ma, International Conference on Computer Vision (ICCV), October 2003.

24. Generalized Principal Component Analysis (GPCA): an analytic solution to segmentation of mixtures of subspaces,
Rene Vidal, Yi Ma and Shankar Sastry, Finalist for the Best Paper Award, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2003.

23. An Algebraic Geometric Approach to the Identification of a Class of Linear Hybrid Systems,
Rene Vidal, Stefano Soatto, Yi Ma and Shankar Sastry, Finalist for the Best Paper Award, in Proceedings of IEEE Conference on Decision and Control (CDC), Hawaii, 2003.

22. Structure and Pose from Single Images of Symmetric Objects with Applications to Robot Navigation,
Allen Yang Yang, Wei Hong Yi Ma, in Proceedings of the International Conference on Robotics and Automation (ICRA), Taipei, Taiwan, 2003.

21. Introduction to Multiview Rank Conditions and their Applications: A Review,
Jana Kosecka, Yi Ma, invited paper, 2002 Tyrrhenian International Workshop on Digital Communications (IWDC 2002), Advanced Methods for Multimedia Signal Processing, Palazzo dei Congressi, Capri, Italy, September 2002.

20. Interpretation of Dynamic Scenes from the Multibody Fundamental Matrix,
Rene Vidal, Stefano Soatto, Yi Ma and Shankar Sastry, in Proceedings of the Workshop on Vision and Modelling of Dynamic Scenes, the European Conference on Computer Vision (ECCV), Copenhagen, Denmark, May 2002.

19. Classifications of Rank Conditions for Multiple View Geometry of Dynamical Scenes,
Yi Ma, Kun Huang, and Yang Yang, in Proceedings of the Workshop on Vision and Modelling of Dynamic Scenes, the European Conference on Computer Vision (ECCV), Copenhagen, Denmark, May 2002.

18. Generalized Rank Conditions in Multiple View Geometry with Applications to Dynamical Scenes,
Kun Huang , Robert Fossum and Yi Ma, in Proceedings of the European Conference on Computer Vision (ECCV), Copenhagen, Denmark, May 2002.

17. Rank Deficiency Condition of the Multiple View Matrix for Mixed Point and Line Features,
Yi Ma, Jana Kosecka and Kun Huang, oral presentation at the fifth Asian Conference on Computer Vision (ACCV), Melbourne, Australia, January 2002.

16. Multiple View Motion Estimation and Control for Landing an Unmanned Aerial Vehicle,
Omid Shakernia, Courtney S. Sharp, Rene Vidal, David H. Shim, Yi Ma, Shankar Sastry, International Conference on Robotics and Automation (ICRA) 2002.

15. Recognition of Human Gait,
Alessandro Bissocco, Alessandro Chiuso, Yi Ma and Stefano Soatto, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, December 2001.

14. Optimal Motion Estimation from Multiview Normalized Epipolar Constraint,
Rene Vidal, Yi Ma, Jana Kosecka and Shankar Sastry, oral presentation at International Conference on Computer Vision (ICCV), Vancuver, Canada, July 2001.

13. Kruppa's Equations Revisited: its Degeneracy, Renormalization and Relations to Chirality,
Yi Ma, Rene Vidal, Jana Kosecka and Shankar Sastry, in the Proceedings of European Conference on Computer Vision (ECCV), Trinity College Dublin, Ireland, 2000.

12. Optimization Criteria, Sensitivity and Robustness of Motion and Structure Estimation,
Yi Ma, Jana Kosecka and Shankar Sastry, in Proceedings of ICCV workshop "Vision Algorithms", 1999.

11. Euclidean Reconstruction and Reprojection Up to Subgroups,
Yi Ma, Stefano Soatto, Jana Kosecka and Shankar Sastry, the Best Paper Award (the David Marr Prize), in Proceedings of the 7th IEEE International Conference on Computer Vision (ICCV), 1999.

10. Vision Guided Landing of an Unmanned Aerial Vehicle,
Omid Shakernia, Yi Ma, Joao Hespanha and Shankar Sastry, in the Proceedings of CDC, 1999.

9. A Lie Theoretic Approach to Structure and Motion in Computer Vision,
Yi Ma, Omid Shakernia, Jana Kosecka, Shankar Sastry, in Proceedings of the World Conference of IFAC, Beijing, China, 1999.

8. Optimal Motion from Image Sequences: A Riemannian Viewpoint,
Yi Ma, Jana Kosecka, Shankar Sastry, in Proceedings of Mathematical Theory of Networks and Systems (MTNS), Padova, Italy, 1998.

7. Motion Estimation from Two Frames as Optimization on Stiefel Manifolds,
Yi Ma, Jana Koseka and Shankar Sastry, in Proceedings of IEEE Conference on Decision & Control (CDC), Florida, USA, 1998.

6. Motion Recovery from Image Sequences: Discrete Viewpoint vs. Differential Viewpoint,
Yi Ma, Jana Kosecka and Shankar S. Sastry, in Proceedings of European Conference on Computer Vision (ECCV), Freiburg, Germany, 1998.

5. Controller Verification and Synthesis for Hybrid Systems on Lie Groups,
Claire Tomlin, John Lygeros, Yi Ma, Shankar S. Sastry, submitted to Controlo, 1998.

4. Hierarchical Hybrid System Design on Berkeley Unmanned Autonomous Aerial Vehicle,
T. J. Koo, D. H. Shim, O. Shakernia, B. Sinopoli, Yi Ma, F. Hoffmann, S. Sastry, International Aerial Robotics Competition, Richland, Washington, USA, 1998.

3. Free Flight in 2000: Games on Lie Groups,
Claire Tomlin, Yi Ma, Shankar S. Sastry, in Proceedings of IEEE Conference on Decision & Control (CDC), Florida, USA, 1998.

2. Vision Guided Navigation for A Nonholonomic Mobile Robot,
Yi Ma, Jana Kosecka and Shankar S. Sastry, in Proceedings of IEEE Conference in Decision & Control (CDC), San Diego, USA, 1997.

1. SmartATMS: A Simulator for Air Traffic Management Systems,
John Koo, Yi Ma, George Pappas and Claire Tomlin, in Proceedings of Winter Simulation Conference (WSC), Atlanta, Georgia, USA, 1997.

9. Comments on Efficient Singular Value Thresholding Computation,
Zhengyuan Zhou and Yi Ma, arXiv:2011.06710, November, 2020.

8. HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures,
Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen, and Yi Ma, arXiv:2008.03286, August, 2020.

7. Breaking the O(1/epsilon) Optimal Rate for a Class of Minimax Problems,
Chaobing Song, Yong Jiang, and Yi Ma, arXiv:2003.11758, March, 2020.

6. Dynamical Vision, (edited book)
Rene Vidal, Anders Heyden, and Yi Ma (editors), Lecture Notes in Computer Science (LNCS #4358), Springer, 2007.

5. Collaborative Represenation based Classification for Face Recognition,
Lei Zhang, Meng Yang, Xiangchu Feng, Yi Ma , and David Zhang, 2012.

4. Sparsity and Robustness in Face Recognition,
John Wright, Arvind Ganesh, Allen Yang, Zihan Zhou, and Yi Ma, arXiv:1111.1014, November 5, 2011. (A tutorial that clarifies some confusions and misunderstandings in the literature about the paper "Face Recognition via Sparse Representation".)

3. The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices,
Zhouchen Lin, Minming Chen, Leqin Wu and Yi Ma, UIUC Technical Report UILU-ENG-09-2215, arXiv:1009.5055v2, October 26, 2009.

2. Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix,
Zhouchen Lin, Arvind Ganesh, John Wright, Leqin Wu, Minming Chen, and Yi Ma, UIUC Technical Report UILU-ENG-09-2214, July 2009. Conference version published in International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, December 2009.

1. Computation and Relaxation of Conditions for Equivalence between l1 and l0 Minimization,
Yoav Sharon, John Wright, and Yi Ma, UIUC Technical Report UILU-ENG-07-2008, May 2007. Conference version published in American Conference on Control, 2009.