Presentations, Tutorials, and Workshops by Professor Yi Ma

2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 and earlier

ACDL2023 Plenary Lectures on Deep Networks and Intelligence:

Recent Recorded Talks:

Year 2024:

* Tutorial "Learning Deep Low-Dim Models from High-Dim Data: From Theory to Practice", CVPR, Seattle, June 17-21, 2024.
* BIRS Workshop "Mathematics of Deep Learning", the Casa Matematica Oaxaca (CMO), Mexico, June 9-14, 2024.
* Invited talk on "Transparent and Consistent Deep Representation Learning" at Alibaba Cloud, Hong Kong, May 7, 2024.
* Tutorial "Building White-Box Deep Neural Networks", ICASSP, Seoul, Korea, April 14-19, 2024.
* Guest of Honor and Speaker at the 2024 Annual Joint High Table dinner, by the HKU student residence, April 12, 2024.
* Talk on "Transparent and Consistent Deep Representation Learning" at the College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam, April 8th, 2024.
* Talk on "Transparent and Consistent Deep Representation Learning" at the Department of Statistics, Stanford University, March 7th, 2024.
* Talk on "Transparent and Consistent Deep Representation Learning" at the Department of Mathematics, UC Davis, March 6th, 2024.
* A Distinguished Lecture at the Masters Forum of the Chinese University of Hong Kong, Shenzhen, January 16, 2024.
* A Tutorial Lecture on ReduNet at the International Conference on Parsimony and Learning, Hong Kong, January 6, 2024.
* General Chair of the International Conference on Parsimony and Learning, Hong Kong, January 3-6, 2024.

Year 2023:

* Guest Lecture for the ICC Program of HKU Business School, Sanya, December 23, 2023.
* Keynote Speech at 12th International Workshop on Mathematical Issues in Information Sciences (MIIS'2023), CUHK Shenzhen, December 17, 2023.
* Invited Talk at the Zhengge Venture Capital Fund annual event, Beijing, December 14, 2023.
* Su Buqing Distinguished Lecture at Fudan University University, Shanghai, December 7, 2023.
* Invited Talk at Shanghai Jiaotong University, Shanghai, December 6, 2023.
* Keynote Speech at the Shanghai AI Lab and HKU joint seminar, Shanghai, December 6, 2023.
* Invited Talk at the 25th Anniversary of Microsoft Research Asia, November 10, 2023.
* AI Seminar of the EECS Department, Oregon State University, October 13, 2023.
* Distinguished Seminar at Hong Kong Unversity of Science and Technology (HKUST), September 15, 2023.
* Keynote at ICT Workshop, Huawei, Shenzhen, July 28, 2023.
* Summer Course at TBSI on Computational Principles for High-Dimensional Data Analysis, July 11 - July 27, 2022.
* Keynote Talk at the Workshop on Mathematical Theory for Emergent Intelligence, July 17, 2023.
* Plenary Talk at the Chinese SIAM Conference on Big Data and AI (CSIAM-BDAI), China, July 8, 2023.
* Keynoge Speech at Tsinghua Alumni Academia Club of North America annual meeting, July 7, 2023.
* Keynote Speech International Workshop on Learning and Information Theory, Shen Zhen & Hong Kong, China, July 3, 2023.
* Invited talk on deep networks as white boxes in Professor Alan Yuille's lab at Johns Hopkins University, June 30, 2023.
* Keynote Speech at IEEE Fellow Forum of the Global AI Product & Application Expo, Shuzhou, China, June 26, 2023.
* Plenary Lectures at Advanced Course on Data Science and Machine Learning (ACDL), Tuscany, Italy, June 10-14, 2023.
* ICASSP 2023 Short Course on Low-dimensional Models and Deep Networks, Rhodes Island, Greece, June 1-7, 2023.
* Keynote Speech at the Construction Industry Concil of Hong Kong, May 30, 2023.
* Keynote Speech at the Asian Engineering Deans' Summit, Hong Kong University, May 17, 2023.
* Berkeley Semiautonomous Seminar, April 21, 2023.
* Invited Lecture at the HKU Global CEO Program, Beijing, April 8, 2023.
* Invited Talk and Panels at NSF-IEEE Machine Learning Workshop, March 20, 2023.
* Invited Lecture at Harvard University Chinese Arcademic Saloon, in Mandarin (with Slides), March 10, 2023.
* Invited Talk at the Institute for China Business of the University of Hong Kong, March 8, 2023.
* Invited Talk at the 1st Presidential Scholars Symposium of the University of Hong Kong, March 7, 2023.
* Berkeley EECS Seminar, February 16, 2023.
* Keynote Speech at the International School on Deep Learning (DeepLearn 2023 Winter), Bournemouth, United Kingdom, January 16-20, 2023.
* Tutorial on Low-Dim Models for High-Dim Data (a seven-lecture short course presented at SLowDNN'23), Januray, 2023.
* The Third Workshop on Seeking Low-Dimensionality in Deep Neural Networks (SLowDNN), MBZUAI, Abu Dhabi, January 3-7, 2023.

Year 2022:

* Distinguished Lecture at CS Department, UIUC, December 14, 2022.
* Invited talk at NeurIPS workshop on Trustworthy and Socially Responsible Machine Learning, December 9, 2022.
* Distinguished Speaker Series #1 of the Data Science Institute, Hong Kong University, November 25, 2022.
* Plenary Talk at CMSE Data Science Student Conference, Michigan State University, November 11, 2022.
* Invited talk at Berkeley TOPPA (East Asian Student Organization), November 9, 2022.
* ESE Department Colloquium, University of Pennsylvania, November 7, 2022.
* Invited Talk at TSMC Limited, November 2, 2022.
* Distinguished Seminar at ECE Department Seminar, UC Davis, October 7, 2022.
* Keynote Speech at the 4th International Conference on Robotics and Computer Vision (ICRCV), Wuhan, China, September 25-27, 2022.
* Talk and Round Table on Fundamentals of Intelligence, Beijing Academy of Artificial Intelligence, September 21, 2022.
* Talk at Microsoft Research Alumni Saloon, September 16, 2022.
* Keynote Speech at the Forum of Cognitive Intelligence, World Artificial Intelligence Conference, Shanghai, China, September 2, 2022.
* AI Panel at the WLSI Annual Meeting, Stanford, August 23, 2022.
* Keynote Talk at the annual research symposium of Chandar Lab, MILA, Canada, August 12, 2022.
* Invited talk at Bytedance summer camp, August 9, 2022.
* Distinguished Lecture of the IAS of the Hong Kong University of Science and Technology, August 5, 2022.
* Keynote Speech at the Hong Kong Tech Forum on Grand Challenges in Data Science and Artificial Intelligence, Hong Kong, July 26-27, 2022.
* Invited talk at Google Sample-Efficient Learning seminar, July 27, 2022.
* Invited talk a China Operation Research forum, July 15, 2022.
* Summer Course at TBSI on Computational Principles for High-Dimensional Data Analysis, June 27 - July 8, 2022.
* Visit and talk at MBZUAI, Abu Dhabi, June 20-25, 2022.
* Invited talk at the Challenges and Prospects of ML for the Physical Sciences Workshop in NYC, Flatiron Institute, June 12-15, 2022.
* Keynote Speech at the 17th biennial Canadian Workshop on Information Theory (CWIT) of the Canadian Society of Information Theory, Ottawa, Canada, June 7, 2022.
* A Five-Lecture Short Course on Low-Dim Models for High-Dim Data at ICASSP, Singapore, May 22-27, 2022.
* Plenary Talk at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Singapore, May 22-27, 2022.
* Invited Talk at Baidu Research, April 29, 2022.
* Invited Talk at Facebook/Meta AI Research (FAIR/MAIR), April 25, 2022.
* MSRA CVPR panel discussion, April 22, 2022.
* Invited Talk at University of Washington, Seattle, April 8, 2022.
* Invited Talk at Washington University at St. Louis, March 23, 2022.
* Talk at BAIR Visual Computing Workshop, Berkeley, March 21, 2022.
* Invited Talk, Department of Electrical and Computer Engineering, University of Michigan, March 17, 2022.
* Invited Talk, joint Semiautonomous Seminar and THEORINET Seminar, EECS Berkeley, March 4, 2022.
* Distinguished Colloquium, Department of Electrical and Computer Engineering, University of Maryland, Januarary 28, 2022.

Year 2021:

* Plenary Talk at International Workshop on Mathematical Issues in Information Sciences, Shenzhen, China, December 18-19, 2021.
* Invited Talk at the Maths, Artificial Intelligence and Neuroscience - MAIN seminar, KTH Stockholm, Sweden, December 13-15, 2021.
* Invited talk at SEA AI Lab (SAIL), Singapore, December 7, 2021.
* Invited talk at Redwood Center for Theoretical Neuroscience, UC Berkeley, December 2, 2021.
* Organizer and Speaker of the 2nd Workshop on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN), November 22-23, 2021.
* Invited Talk at INTheory Seminar Series, Sun Yat-sen University, November 4, 2021.
* Keynote Speech at Microsoft Faculty Summit, October 19-21, 2021.
* Panel on Towards Human-Like Visual Learning and Reasoning, Microsoft Faculty Summit, October 19-21, 2021.
* Invited Talk at Baidu Research, October 19, 2021.
* Organizer of ICCV 2021 Workshop on Holistic Structure for 3D Vision, October 11, 2021.
* Invited Talk at School of Data Science, City University of Hong Kong, October 5, 2021.
* Talk at 2021 Mathematical and Scientific Foundations of Deep Learning Annual Meeting, Simons Foundation in New York City, Sept. 30-Oct. 1, 2021.
* Digital Futures Distinguished Lecture at KTH Royal Institute of Technology, Sweden, September 15, 2021.
* Invited Talk at Department of Mathematics, RWTH Aachen University, Germany, August 23, 2021.
* Invited Talk at Theoretically Inclined Machine Learning (TML) seminar, Department of EECS and Mathematics, University of Ottawa, Canada, August 17, 2021.
* Talk at ONR Science of Autonomy, August 12, 2021.
* Workshop on Mathematics of Deep Learning, Isaac Newton Institute, University of Cambridge, summer 2021.
* Keynote Speech at the International Conference on Image, Vision and Computing, Qingdao, China, July 23-25, 2021.
* Invited Talk at MILA, University of Montreal, Quebec, July 16, 2021.
* Keynote Speech at the Annual Meeting of Chinese Society of Industrial and Applied Mathematics (CSIAM), China, July 11, 2021.
* Keynote Speech at CVPR21 Workshop on Neural Architecture Search, June 25, 2021.
* Invited Talk (YouTube video) at CVPR21 Workshop on 3D Scene Understanding, June 19, 2021.
* Invited Talk at Seminar on Mathematics of Deep Learning, Flatiron Institute, Simons Foundation, June 15 and June 22, 2021.
* Keynote Speech (Bilibili Video in Chinese) at Beijing Academy of Artificial Intelligence (BAAI) Conference, June 2, 2021.
* Invited Talk (Tecent Video in Chinese) at the AIR Seminar of the Institute for AI Industrial Research, Tsinghua University, May 27, 2021.
* Keynote Speech at the Annual Meeting of the AI Institute of Harbin Institute of Technology, China, May 22, 2021.
* Invited Talk at the MAD Seminar of Center for Data Science and Courant Institute, NYU, May 14, 2021.
* Invited Talk at the Data Science Institute (DSI) Seminar at Lawrence Livermore National Laboratory, May 10, 2021.
* Invited Talk at Qualcomm Research, April 29, 2021.
* Invited Talk (YouTube video) at the Communications and Signal Processing Seminar of EECS Department, University of Michigan, April 29, 2021.
* Invited Talk (YouTube video) at the Math-Science Literature Lecture Series, Center of Mathematical Sciences and Applications (CMSA), Harvard University, April 16, 2021.
* Invited Talk at MADD seminar, Institute of Data Science, UC Davis, April 13, 2021.
* Guest Lecture at Berkeley Stat 212A, Information Theory and Statistics, April 13, 2021.
* Invited Talk at the Technion Computer Vison Colloquium, the Pixel Club of Technion, Israel Institute of Technology, April 6, 2021.
* Invited Talk (YouTube video) at One World Mathematics of INformation, Data, and Signals (1W-MINDS) Seminar, April 1st, 2021.
* Deep Networks from First Principles, Seminar at Redwood Center for Theoretical Neuroscience, UC Berkeley, March 12, 2021.
* Deep Networks from First Principles, Semiautonomous Seminar, UC Berkeley February 19, 2021.
* Overview of Reinforcement Learning and Optimal Control, with YouTube video, February 17, 2021.
* Deep Networks from First Principles, Keynote Speech at Computational Imaging Conference, January 21, 2021.
* Invited Talk at HTC and VIA, January 19, 2021.
* Invited Talk at CSML and EE Seminar, Princeton University, January 15, 2021.

Year 2020:

* Talk at Compvision Seminar, UC Berkeley, December 2, 2020.
* Invited talk at CSL SINE Seminar, UIUC, November 30, 2020.
* Organizer and Speaker of Workshop on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN), with YouTube video, November 23-24, 2020.
* Northwestern ECE Distinguished Lecture, November 18, 2020.
* Organizer and Speaker of CDTI Workshop on the Analytical Foundation of Deep Learning, with YouTube video, October 19-23 2020.
* Organizer of ECCV Workshop on Holistic Scene Structures for 3D Vision, Glasgow, Scotland, August 23, 2020.

Year 2019:

* Talk at Berkeley FHL Vive Center workshop, December 4, 2019.
* Talk at Berkeley BAIR/BDD retreat, December 4, 2019.
* Invited Talk at IBM Watson Research Center, New York, November 26, 2019.
* Invited Talk at Data Science Center of New York University, November 25, 2019.
* Invited Talk at NSF Data Science Center workshop: Low-dimensional Models and Deep Neural Networks, Columbia University, November 22, 2019.
* Invited talk at Asilomar2019 workshop on Theory of Machine Learning, Pacific Grove, November 3-6, 2019.
* ICCV2019 tutorial: Learning to Reconstruct Holistic 3D Structures from Sensorial Data, Seoul, Korea, October 28, 2019.
* Invited talk at ICCV2019 workshop on Statistical Deep Learning in Computer Vision, Seoul, Korea, October 27, 2019.
* Keynote at TBSI Workshop on Learning Theory, Shenzhen, China, July 16, 2019.
* TBSI Seminar on Structured 3D Vision, Shenzhen, July 11th, 2019.
* Invited talk at Malong Inc. on Learning and Vision, Shenzhen, July 8th, 2019.
* TBSI Summer Course on High-Dimensional Data Analysis, Shenzhen, China, July 4-13, 2019.
* Invited talk at Microsoft Research Asia on Dictionary Learning, Beijing, July 2nd, 2019.
* Invited lectures at Bytedance Inc. on High-Dimensional Data Analysis, Beijing, June 24, 2019.
* Invited talk at Berkeley Math Department, Nonlinear Algebra Seminar: "Algebraic Problems in Modeling High-Dimensional Imagery Data", March 7th, 2019.
* Talk at Berkeley Assured Autonomy Seminar, January 28th, 2019.

Year 2018:

* Keynote Speech at IEEE International Conference on Visual Communications and Image Processing (VCIP), Taichung, Taiwan, December 9-12, 2018.
* Talk at BAIR Retreat, November 28, 2018.
* Invited Lecture at the Academic Master Series of Tsinghua Computer Science Department's 60th Anniversary, Beijing, China, August 3, 2018.
* Lecture Series on High-Dimensional Data Analysis, Bytedance Inc., Beijing, China, July 25 to August 12, 2018.
* Summer Course on High-Dimensional Data Analysis, Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen, China, July 3 - 14, 2018.
* Keynote Speech at Global Artificial Intelligence and Robotics Summit (CCF-GAIR2018), Shenzhen, China, June 29 - July 1, 2018.
* Distinguished Lecture at the Global Frontiers in Science and Technology forum, the Berkeley Global Science Institute, June 11, 2018.
* Keynote Speech at the 1st Forum on Frontiers of Science and Engineering, organized by Tsinghua Alumni Academia Club (TAAC), Seattle, May 28-30, 2018.
* Invited talk at the Information Systems Laboratory (ISL) Colloquium, Stanford, May 3, 2018.
* Invited talk at the 2nd Annual Berkeley AR/VR Symposium, April 20, 2018.
* Plenary Talk at Dutch Mathematical Congress, Netherlands, April 3-4, 2018.
* Invited talk at the Berkeley AI Research (BAIR) lab retreat, March 25, 2018.
* Invited talk at the Berkeley AI Research (BAIR) lab seminar, March 9, 2018.

Year 2017:

* Keynote Speech at United Nation 12th Internet Governance Forum (IGF), Geneva, Switzerland, December 18, 2017.
* Keynote Speech, China Workshops on Machine Learning and Applications, 2017, Beijing, China, November 3-5, 2017.
* Invited talk at Huawei Inc. Central Research Institute, Shenzhen, October 26, 2017.
* Invited talk at Tsinghua-Berkeley Shenzhen Institute, October 25, 2017.
* Plenary Speech, Imaging Summit 2017, Seoul, Korea, July 10, 2017.
* Invited Lecture at the Byte AI Tech Seminar Series of Toutiao.com, Tsinghua University, June 22, 2017.
* Invited Talk at EECS department, UC Berkeley, May 8, 2017.
* Invited Distinguished Lecture at University of Electronic Science and Technology of China, Chengdu, Apirl 28, 2017.
* Keynote Speech, Huawei Inc. the 4th Wireless Algorithm Festival, Shanghai, China, April 22, 2017.
* Invited talk at CS department, National Taiwan University, April 11, 2017.
* Invited talk at VIA Inc., Taipei, Taiwan, April 10, 2017.
* Invited talk at HTC Inc., Taipei, Taiwan, April 10, 2017.
* Invited talk at ECE department, HKUST, Hong Kong, April 7, 2017.
* Invited talk at CMS department, Caltech, March 14, 2017.
* Invited talk at EECS department, UC Berkeley, February 10, 2017.
* Invited talk at EE and CS departments, UC Davis, February 9, 2017.
* Keynote Lecture at Humanware International Symposium, Osaka, Japan, January 26, 2017.

Year 2016:

* Kenote Speech at Symposium of National Deans' Association in Electronics and Information, Beijing, China, November 12, 2016.

Year 2015:

* Plenary talk at the Chinese Automation Conference (CAC2015), Wuhan, China, November 27-29, 2015.
* Plenary talk at the IEEE Information Theory Workshop (ITW), Jeju Island, Korea, October 11-15, 2015.
* Plenary talk at the IEEE International Conference on Multimedia and Expo (ICME), Torino, Italy, June 29 - July 3, 2015.
* Keynote Speach at the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Hong Kong, China, January 13-16, 2015.

Year 2014:

* Plenary talk at the Foundations of Computational Mathematics (FoCM) Conference, Montevideo, Uruguay, December 11-14, 2014.
* Keynote talk at China Workshop on Machine Learning and Applications, Xi'an, China, November 8, 2014.
* Invited Talk at the Data Science Forum, Shanghai Mathematical Center and College of Mathematics of Fudan University, Shanghai, China, November 5, 2014.
* Plenary talk at the National Conference on Image and Graphics Technology and Applications, Chinese Institute of Electronics, Beijing, China, November 1-3, 2014.
* Invited talk at Microsoft Research Asia, Beijing, China, September 15, 2014.
* Invited talk at Peking University, School of Mathematics, China, September 15, 2014.
* Keynote talk at Computer Vision Task Forces Forum, China Computer Federation, Beijing, September 13, 2014.
* Invited talk at Tsinghua University, Tsinghua Information Forum, China, September 12, 2014.
* Invited talk at University of Electronic Science and Technology of China, Chengdu, July 14, 2014.
* Invited talk at University of Electronic Science and Technology at Xi'an, July 11, 2014.
* Invited Trend/Overview Talk at ChinaSIP2014, Xi'an, China, July 12, 2014.
* Invited talk at TongJi University, Shanghai, July 8, 2014.
* Invited talk, Forum on Scientific and Engineering Computing, June 9-10, Beijing, 2014.
* Plenary talk, China Computer Federation Young Elite Forum, Nanjing, June 1, 2014.
* Invited talk at Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, May 19, 2014.
* Invited talk at the Hong Kong Polytechnic University, CS Department, Hong Kong, May 15, 2014.
* Plenary talk at the SIAM Conference on Imaging Science (SIAM-IS14), Hong Kong, May 12-14, 2014.
* Invited talk at Vision and Learning Seminar (VALSE), Qingdao, China, April 19, 2014.
* Plenary talk at the French-German Conference on Mathematical Image Analysis, Institut Henri Poincare, Paris, France, January 13-15, 2014.

Year 2013:

* Invited talk "Pursuit of Low-dimensional Strutures in High-dimensional Data" at the Mathematics and Statistics Department, Peking University, November 28, 2013.
* Invited talk "Pursuit of Low-dimensional Strutures in High-dimensional Data" at the Center for Imaging Science, Johns Hopkins University, November 19, 2013.
* Invited talk "Pursuit of Low-dimensional Strutures in High-dimensional Data" at the Electrical Engineering and Computer Science Department, Massachusette Institute of Technology, November 12, 2013.
* Tutorial on "Sparse and Low-rank Modeling: Theory, Algorithm, and Applications," with John Wright, IPAM Computer Vision Summer School, UCLA, August 5-6, 2013.
* Guest professorship inauguration distinguished lecture at the College of Information Science, University of Science and Technology of China, April 18, 2013.
* Invited talk at the Electrical Engineering Department, Shanghai Jiaotong University, April 1, 2013.
* Invited talk at the Computer Science Department, Nanjing University, March 27, 2013.
* Invited talk at the DSP Seminar, ECE Department, University of Illinois at Urbana Champaign, February 29, 2013.
* Invited talk at the DSP Seminar, University of California, Berkeley, February 25, 2013.
* Lecturer of a half-day tutorial on "Sparse and Low-rank Modeling," Microsoft Research Asia, January 30, 2013.
* Invited talk at the workshop on "Mathematics and Statistics for Computer Vision", Tsinghua Sanya International Mathematics Forum, Organized by the Mathematical Sciences Center of Tsinghua University, China, Jan 4, 2013.

Year 2012:

* Invited talk at the International Workshop on "Data Science and Information Technology", Beijing International Center for Mathematical Research, Peking University, November 18, 2012.
* Plenary talk at Internationl Conference on Pattern Recognitin (ICPR), Japan, November 13, 2012.
* Plenary talk at International Conference on Distributed Smart Camera, Hongkong, October 31, 2012.
* "Compressive Principal Component Pursuit", talk at the Technical Advisory Board Review for Microsoft Research Asia, Octorber 23, 2012.
* Tutorial on Sparse and Low-rank Modeling, European Conference on Computer Vision, Firenze, Italy, October 2012.
* Keynote speech at International Conference on Biometrics (BTAS), Washington DC, September 2012.
* Invited talk at Workshop on Algorithms for Modern Massive Data Sets (MMDS), Stanford, July 13, 2012.
* Invited talk at Sparse and Low-rank Modeling Mini-Symposium at SIAM Annual Meeting, Minnesota, July 11, 2012.
* Invited talk at Microsoft Research India, July 6, 2012.
* Invited talk at Indian Institute of Science, Bangalore, India, July 6, 2012.
* "The Pursuit of Low-dimensional Strutures in High-dimensional Data", half-day lectures, ADSC summer school, Singapore, July 2, 2012.
* "The Pursuit of Low-dimensional Structures in High-dimensional Visual Data," International Workshop on Computer Vision, Siracusa, Italy, May 22, 2012.
* "Robust Principal Component Analysis", half-day lectures, CCF ADL27, Chinese Academy of Sciences, May 18, 2012.
* "Transformed and Compressed Principal Component Pursuit," invited talk at National University of Singapore, April 5, 2012.
* "Transformed and Compressed Principal Component Pursuit," invited talk at Nanyang Technology University, Singapore, April 2, 2012.
* "Transformed and Compressed Principal Component Pursuit," invited talk at Key Laboratory of Machine Perception, Peking University, March 23, 2012.
* "Transformed and Compressed Principal Component Pursuit," invited talk at Statistics Department, Stanford, March 2, 2012.
* "Transformed and Compressed Principal Component Pursuit," invited talk at EECS Department, Berkeley, March 1, 2012.
* Invited talk at MSRA-NTT joint workshop on speech recognition, Beijing, January 19, 2012.

Year 2011:

* Invited talk at NIPS workshop on "Low-rank Methods for Large-scale Machine Learning," Sierra Nevada, Spain, December 17, 2011.
* " Sparse Representation and Low-rank Recovery for High Dimensional Data", invited talk at University of Technology, Sydney, Australia, December 4, 2011.
* Keynote speech at Digital Image Computing: Techniques and Applications, Queensland, Australia, December 6-8, 2011.
* Keynote speech at the 3rd International Conference on Awareness Science and Technology, Dalian, China, September 2011.
* Half-day tutorial on "Low-rank Methods for Computer Vision," ICIG, Hefei, China, August 11, 2011.
* One-day lectures on "Sparse and Low-rank Methods for Computer Vision and Image Processing," VLPR summer school, Chendu, China, August 9, 2011.
* Plenary talk at Signal Processing with Adaptive Sparse Structured Representations (SPARS), Edinburgh, UK, June 2011.
* Distinguished lecture at 1st Technion Computer Engineering Conference, Technion, Israel, June 2011.
* Presentation at Craig Mundie's Machine Learning Review, May 4, 2011.
* "For Low-rank Structures in Images and Data", invited talk at international workshop on Information Theory and Applications, San Diego, February 9th, 2011.
* "For Low-rank Structures in Images and Data", computer vision seminar, UCLA, February 7, 2011.

Year 2010:

* Keynote speech at AAAI Symposium on Manifold Learning and its Applications, Arlington, VA. Nov. 11, 2010.
* Tutorial on Low-Rank Matrix Recovery, ICIP, Hongkong, Sept. 26, 2010.
* "Microsoft Research Asia Research Overview", Summer school on Vision, Learning and Pattern Recognition (VLPR), Xi'an China, July 25, 2010.
* "Robust Principal Component Analysis and its Applications", Invited talk at Pao-Lu Hsu Conference, Xi'an, China, July 20, 2010.
* "Robust Principal Component Analysis and its Applications", Plenary talk at Visual Communications and Image Processing (VCIP), July 13, 2010.
* "Robust Principal Component Analysis and its Applications", NGA and DARPA Workshops in Washington DC, June 22 and 23, 2010.
* "Robust Principal Component Analysis and its Applications", Tutorial on Subspace Learning at CVPR, San Francisco, June 14, 2010.
* "Robust Principal Component Analysis and its Applications", Invited talk at CAD&CG Lab, Zhejiang Univ., March 31st, 2010.
* "Robust Principal Component Analysis and its Applications", Yao's Class, CS Department, Tsinghua University, March 26th, 2010.
* "Robust Principal Component Analysis and its Applications", UIUC DSP Seminar, March 10th, 2010.
* "Robust Principal Component Analysis and its Applications", Microsoft Research Techfest Lecture, March 3rd, 2010.
* "Robust Principal Component Analysis via Convex Optimization", Invited talk at Singapore Management University, January 29, 2010.
* "Confluence of Computer Vision and Sparse Representation", Invited talk at Nanyang Technology University, Singapore, January 28, 2010.
* "Robust Principal Component Analysis via Convex Optimization", Invited talk at Fusionopolis, Singapore, January 27, 2010.
* "Confluence of Computer Vision and Sparse Representation", Invited talk at National University of Singapore, Singapore, January 25, 2010.
* "Robust Principal Component Analysis via Convex Optimization", Invited talk at Department of Information Engineering, Chinese University of Hong Kong, January 8, 2010.
* "Robust Principal Component Analysis via Convex Optimization", Invited talk at Computer Science Department, Hong Kong University of Science and Technology, Hong Kong, January 6, 2010.

Year 2009:

* "Face Recognition via Sparse Representation", Invited talk at the Third Research Institure of the Department of Public Safty, Shanghai, China, December 19, 2009.
* "Confluence of Computer Vision and Sparse Representation", Invited talk at University of Science and Technology of China, Hefei, China, December 14, 2009.
* "Fast Convex Optimization Algorithms for Exact Recovery of a Low-Rank Matrix", Invited talk at the International Workshop on Computationl Advances in Multi-Sensor Adaptive Processing, Aruba, Dutch Antilles, December 13-16, 2009.
* "Robust Principal Component Analysis via Convex Optimization", talk at MSRA Technical Advisory Board Review, China, November 2, 2009.
* "Confluence of Computer Vision and Sparse Representation", Invited talk at CAD & CG state key lab, Zhejiang University, China, October 22, 2009.
* "Dynamical Vision," Workshop at International Conference on Computer Vision, Kyoto, Japan, September 29, 2009.
* "Multiple-View Geometry and Symmetry for Image-Based 3D Reconstruction", Keynote speech at ACCV workshop on Community Based 3D Content and its Applications in Mobile Internet Environment, September 24, 2009.
* "Confluence of Computer Vision and Sparse Representation", Invited talk National Taiwan University, Taiwan, August 28, 2009.
* "Robust Principal Component Analysis via Convex Optimization", Invited talk Academia Sinica, Institute of Information Science, Taiwan, August 27, 2009.
* "Robust Principal Component Analysis via Convex Optimization", Invited talk at National Tsinghua University, Taiwan, August 26, 2009.
* "Confluence of Computer Vision and Sparse Representation", Keynote speech at the 22th IPPR Conference on Computer Vision, Graphics, and Image Processing, Taiwan, August 24, 2009.
* "Robust Principal Component Analysis via Convex Optimization", Keynote speech at International Workshop on Local and Non-Local Approximation in Image Processing, Finland, August 19-20, 2009.
* "Robust Face Recognition via Sparse Representation", Lecture at Vision, Learning, and Pattern Recognition Summer School, Peking University, July 20, 2009.
* "Robust Principal Component Analysis via Convex Optimization", Lecture at Vision, Learning, and Pattern Recognition Summer School, Peking University, July 20, 2009.
* "Sparse Representation and Its Applications," Tutorial at International Conference on Computer Vision and Pattern Recognition, Miami, USA, June 20, 2009.
* "Robust Principal Component Analysis via Convex Optimization", EECS, Berkeley, June 18, 2009.
* "Robust Principal Component Analysis via Convex Optimization", EE, Stanford, June 17, 2009.
* "Confluence of Computer Vision and Sparse Representation", Invited Talk at National Lab of Pattern Recognition, CASIA, June 12.
* "Robust Principal Component Analysis via Convex Optimization", Invited talk at Intl. Conf. Sampling Theory and Applications, Marseillle, France, May 18-22, 2009.
* "Confluence of Computer Vision and Sparse Representation", Invited talk at Center for Advanced Study, Tsinghua University, May 14, 2009.
* "Confluence of Computer Vision and Sparse Representation", Plenary talk at Picture Coding Symposium, Chicago, USA, May 6-8, 2009.
* "Robust Face Recognition via Sparse Representation," Automation Department, Tsinghua University, April 23.
* "Confluence of Computer Vision and Sparse Representation", Hottalk at Microsoft Research Asia, April 9th.

Year 2008:

* "Subspace Arrangements and Manifold Learning," invited talk at Workshop on Multi-Manifold Data Modeling and Applications, Institute for Mathematics and Its Applications, October 27-30 2008.
* "Computer Vision Beyond Human Intuition," invited talk at Automation Department, Tsinghua University, Beijing, August 13, 2008.
* "Compressed Sensing and Its Applications in Pattern Recognition and Computer Vision," mini-course at Micorsoft Research Asia, Beijing, August, 2008.
* "Subspace Segmentation via Lossy Data Compression," invited talk at SIAM Conference on Imaging Science, Minisymposium on Hybrid Linear and Nonlinear Modeling and its Applications, July 7-9, 2008.
* "Sparse Representation-based Classification and its Applications," invited talk at SIAM Conference on Imaging Science, Minisymposium on Locally Adaptive Patch-based Image and Video Restoration, July 7-9, 2008.
* "Computational Symmetry," Tutorial at the International Conference on Computer Vision and Pattern Recognition, June 23, 2008.
* "Generalized Principal Component Analysis," Tutorial at the International Conference on Computer Vision and Pattern Recognition, June 23, 2008.
* "Computer Vision Beyond Human Intuition," invited talk at Micorsoft Research Asia, Beijing, May 13, 2008.
* "Robust Face Recognition via Sparse Representation," invited talk at Micorsoft Research, Redmond, March 11, 2008.
* "Sparse Representation-based Classification and its Applications," invited talk at Systemes Seminar, Department of Electrical and Computer Engineering, University of Wisconsin at Madison, February 27, 2008.

Year 2007:

* "Dynamical Vision," Workshop at the International Conference on Computer Vision, Rio de Janeiro, October 20, 2007.
* "Face Recognition via Sparse Representation," von Neumann Symposium of Applied Mathematics, Snowbird, Utah, July 8, 2007.
* "Generalized Principal Component Analysis," IEEE International Conference on Computer Vision and Pattern Recognition, Minneapolis, June 18, 2007.
* "Clustering and Classification via Lossy Data Compression," Computer Science Department, Stanford University, May 17, 2007.
* "Face Recognition via Sparse Representation," Computer Vision Seminar, EECS Department, University of California at Berkeley, May 8, 2007.
* "Face Recognition via Sparse Representation," Computer Vision Seminar, Computer Science Department, University of California at San Diego, May 4, 2007.
* "Clustering and Classification via Lossy Data Compression," Computer Vision Group Seminar, Electrical Engineering Department, California Institute of Technology, May 2, 2007.
* "Clustering and Classification via Lossy Data Compression," Computer Science Department Seminar, University of California at Los Angeles, May 1, 2007.
* "Face Recognition via Sparse Representation," CSAIL Computer Vision Seminar, EECS Department, Massachusetts Institute of Technology, April 25, 2007.
* "Clustering and Classification via Lossy Data Compression," LIDS Special Seminar, EECS Department, Massachusetts Institute of Technology, April 25, 2007.
* "Clustering and Classification via Lossy Data Compression," GRASP Laboratory Seminar, University of Pennsylvania, March 23, 2007.
* "Clustering and Classification via Lossy Data Compression," Center for Imaging Science Seminar, Johns Hopkins University, March 20, 2007.
* "Clustering and Classification via Lossy Data Compression," Computer Vision Seminar, EECS Department, University of California at Berkeley, March 7, 2007.
* "Clustering and Classification via Lossy Data Compression," Fessenden Lecture and Graduate Seminar, Electrical & Computer Engineering Department, IEEE EMB Society Pittsburgh Chapter, University of Pittsburgh, February 28, 2007.
* "Clustering and Classification via Lossy Data Compression," Machine Vision Seminar, Computer Science Department, Carnegie Mellon University, February 26, 2007.
* "Clustering and Classification via Lossy Data Compression," Mathematics Department, University of Michigan, February 6, 2007.
* "Clustering and Classification via Lossy Data Compression," Electrical Engineering and Computer Science Department, University of Michigan, February 5, 2007.
* "Clustering and Classification via Lossy Data Compression," Electrical Engineering and Computer Science Department, Northwestern University, January 25, 2007.

Year 2006:

* "How Did I Learn to Do Research, or Did I?" Intern Training Seminar, Microsoft Research Asia, Beijing, China, December 8, 2006.
* "Segmentation of Multivariate Mixed Data via Lossy Data Compression," Department of Automation, Tsinghua University, China, September 22, 2006.
* "Segmentation of Multivariate Mixed Data via Lossy Data Compression," School of Electronics Engineering and Computer Science, Beijing University, China, September 18, 2006.
* "Segmentation of Multivariate Mixed Data via Lossy Data Compression," Department of Electronics, Tsinghua University, China, August 31, 2006.
* "Image, Geometry and Symmetry," international workshop on Current Trends in Computer Vision, panel on "Geometric Vision," Lhasa of Tibet, China, August 10, 2006.
* "Video Segmentation via Lossy Data Compression," international workshop on Current Trends in Computer Vision, panel on "Dynamical Vision," Lhasa of Tibet, China, August 10, 2006.
* "International Workshop on Current Trends in Computer Vision," organizer and chair of the "Dynamical Vision" panel, Lhasa of Tibet, China, August 9-12, 2006.
* "Segmentation of Multivariate Mixed Data," Computer Sciene Department, Zhejiang University, Hangzhou, China, July 12, 2006.
* "Segmentation of Multivariate Mixed Data," Microsoft Research Asia, Beijing China, June 24, 2006.
* "Dynamical Vision," ECCV'06 workshop (organizer), Graz, Austria, May 2006.
* "Modeling and Segmentation of Multivariate Mixed Data," EECS Department Colloquium, UC Berkeley, April 12, 2006.
* "Segmentation of Multivariate Mixed Data," Mathematics Department Graduate Seminar, University of Illinois at Urbana-Champaign, April 5, 2006.
* "Segmentation of Multivariate Mixed Data," Nonlinear Control Seminar, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, March 29, 2006.
* "Segmentation of Multivariate Mixed Data," Statistics Department Seminar, University of Illinois at Urbana-Champaign, March 9, 2006.

Year 2005:

* "Multiple-View Geometry for Image-Based Modeling," ICIP'05 tutorial, Genova, Italy, September 11, 2005.
* "Dynamical Models for Computer Vision," ICCV'05 workshop (organizer), Beijing, China, October 21, 2005.
* "Segmentation of Hybrid Motions via Generalized Principal Surface Analysis," International Conference on Computer Vision, October 21, 2005.
* "Multi-Scale Hybrid Linear Models for Lossy Image Representation," Robotics Lab Seminar, EECS Department, University of California at Berkeley, June 14, 2005.
* "Vision, Geometry, and Symmetry", Institute of Computer Science, Sichuan University, China, May 30, 2005.
* "Multi-Scale Hybrid Linear Models for Lossy Image Representation," Automation Department Seminar, Tsinghua University, Beijing, China, May 19, 2005.
* "Motion-Based Image Segmentation," Microsoft Research in Asia, Beijing, China, May 19, 2005.
* "Multi-Scale Hybrid Linear Models for Lossy Image Representation," Microsoft Research in Asia, Beijing, China, May 18, 2005.
* "Generalized Principal Component Analysis and its Applications," Computer Science Department, Tsinghua University, Beijing, China, May 17, 2005.
* "Motion-Based Image Segmentation," , Human/Computer Vision Symposium, Beckman Institute, May 13th, 2005.
* "A Multi-Scale Hybrid Linear Model for Lossy Image Representation," Computer Science Department, vision/graphics/HCI day, University of Illinois, April 15, 2005.
* "Identification of Deterministic Hybrid ARX Systems via the Identification of Algebraic Varieties," HSCC'05, Zurich, April, 2005.
* "Identification of Hybrid ARX Systems," Control Seminar, Decision & Control Group, CSL, UIUC, February 2, 2005.

Year 2004:

* "Identification of Hybrid Linear Time-Invariant Systems via Subspace Embedding and Segmentation," CDC'04, Bhamas, December 16, 2004.
* "Vision, Geometry, and Symmetry", Invited Seminar at the Center for Imaging Science, Johns Hopkins University, November 16, 2004.
* "Sparse Representation of Image with Hybrid Linear Models," International Conference on Image Processing (ICIP), Singapore, October 26, 2004.
* "Generalized Principal Component Analysis and its Applications," UIUC Beckman Institute ITG forum, September 21, 2004.
* "Multiple-View Geometry for Image-Based Modeling," one-day course at SIGGRAPH, Los Angeles, August 2004.
* "Generalized Principal Component Analysis and its Applications," Control & Robotics Seminar, EECS, UC Berkeley, August 2004.
* "System Identification in Control and Vision," Mini symposium of MTNS (presented by Rene), Belgium, July 2004.
* "Geometric Vision," invited one-day lectures, World Congress on Intelligent Control and Automation, Hangzhou, China, June 14-18, 2004.
* "3D Reconstruction and Motion Analysis of Static and Dynamic Scenes," one-day course at ICRA, New Orliens, April 2004.
* "Generalized Principal Component Analysis," invited lecture, DSP seminar, ECE UIUC, April, 2004.

Year 2003:

* Symmetry Based Photo Editing, ICCV workshop, Nice, France, October 13-16, 2003.
* "Breakthroughs in 3-D Reconstruction and Motion Analysis," one day course at ICRA03 (co-organized with Jana Kosecka), Taipei, Taiwan, September 14-19, 2003.
* Structure and Pose from Single Images of Symmetric Objects with Applications to Robot Navigation, ICRA03, Taipei, Taiwan, September, 2003.
* "Multiple-view Geometry for Image-based Modeling," one day course at SIGGRAPH03 (co-organized with Stefano Soatto), San Diego, July 29-31, 2003.
* Vision, geometry, and symmetry, Center for Automation Research, University of Maryland, May 9th, 2003.
* Image and geometry , Applied Mathematics seminar, Mathematics Department, UIUC, March 3rd, 2003

Year 2002:

* Image and geometry , DSP seminar, UIUC, December 11th, 2002
* Group symmetry and multiple view geometry , Berkeley AI/Robotics/Vision Seminar, Robotics Group, September 19, 2002
* Group symmetry and multiple view geometery , Research Among Peers Seminar, Beckman Institute, UIUC, September 13, 2002
* Multiple-view multibody structure from motion , Center for Intelligent and Networked Systems, Automation Department, Tsinghua, Beijing (China), May 24, 2002.
* Multiple-view multibody structure from motion , Microsoft research in Asia, Beijing (China), May 22, 2002.
* Multiple-view multibody structure from motion , Microsoft research, Redmond, May 17, 2002.
* Multiple-view multibody structure from motion , Special computer vision seminar, UIUC, May 8, 2002.
* Generalized Rank Conditions in Multiple View Geometry with Applications to Dynamical Scenes (poster), Copenhagen, Denmark, ECCV, May, 2002.
* Computer and Robot Vision, ECE Department Explorations Seminar, UIUC, February 20th, 2002.
* Rank Conditions in Multiple View Geometry, Visual Computation Group Seminar, Microsoft Research in Asia, Beijing, February 4th, 2002.
* Rank Deficiency Condition of the Multiple View Matrix for Mixed Point and Line Features, Melbourne, Australia, ACCV, January 23rd, 2002.
* Recognition of Human Gait, Image Formation and Processing Group, Beckman Institute, January 18, 2002.
* Overview of Multiple View Geometry , Math & ECE RAP program, Beckman Institute, UIUC, January 18, 2002.

Year 2001:

* Rank Conditions in Multiple View Geometry, GRASP Lab Seminar, Upenn, November 2, 2001.
* Rank Conditions in Multiple View Geometry, EECS Dept. AI Lab Colloquium, MIT, November 1, 2001.
* Rank Conditions in Multiple View Geometry, Robotics Lab, DEAS, Harvard, November 1, 2001.
* Multiple View Geometry Unified, EE Dept., Stanford, May 17, 2001.
* Multiple View Geometry Unified, EECS Dept. Computer Vision Seminar, UC Berkeley, May 16, 2001.
* Multiple View Geometry Unified, CSL Nonlinear Control Seminar, UIUC, May 10, 2001.

Year 2000:

* Vision Based Control, ECE Dept. Graduate Seminar, UIUC, November 2, 2000.

©2007 Yi Ma
Last modified: Sun Apr 7 10:32:47 HKT 2024