Homepage of Professor Yi Ma (original) (raw)

Current Appointments: Visiting Professor of the EECS Department, UC Berkeley, since January 2025. Chair Professor in AI, the School of Computing and Data Science (CDS), the University of Hong Kong, since July 1, 2023. Director of the School of Computing and Data Science (CDS), the University of Hong Kong, since July 1, 2024. Director of the Institute of Data Science (IDS), the University of Hong Kong, since January 1, 2023. New and Recent Events: Future Science Prize, Computer Science Session, Hong Kong, October 24-26, 2025. Tutorial on Pursuing Low-Dim Structures, ICCV, Hawaii, October 19-23. Plenary Lectures for the International Artificial Intelligence Summer School - IAISS 2025, Italy, September 21-25, 2025. Distinguished Lecture, ECE Department, Iowa State University, May 2, 2025. Invited Talk, EE Department, Columbia University, May 1, 2025. Invited Talk, CS Department, New York University, April 30, 2025. Invited Lecture, Google Research, New York, April 30, 2025. Flatiron Workshop on SSL, New York, April 29, 2025. Keynote Speech, the International Conference on Learning Representations (ICLR), Singapore, April 25, 2025. Tutorial on Deep Representation Learning, CPAL, Stanford, March 24, 2025. Distinguished Lecture on "Pursuing the Nature of Intelligence", Peking University, March 14, 2025. Invited Talk on "Pursuing the Nature of Intelligence", Beijing University of Posts and Telecommunications, March 14, 2025. Invited Talk on "Pursuing the Nature of Intelligence", Tsinghua University, March 13, 2025. Invited Talk on "Pursuing the Nature of Intelligence", Shanghai JiaoTong University, March 4, 2025. HKU AI Literacy Course Lecture: The Nature of Intelligence, Hong Kong University, Februray 5, 2025. Recent Releases: Project Website: SimDINO: Simplying DINO via Coding Rate Regularization. Project Website: Token Statistics Transformer: Linear-Time Attention. Project Website: From Simple to Complex Skills: The Case of In-Hand Object Reorientation. Project Website: Sclaing White-Box Transformers for Vision. Project Website: White-Box Transformers via Sparse Rate Reduction. A New International Conference: Conference on Parsimony and Learning (CPAL) (Stanford, March 24-28, 2025). A New Textbook: High-Dimensional Data Analysis with Low-Dimensional Models (or a mirror site for download in China). A New Position Paper: On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence. A New Course EECS208: Computational Principles for High-Dimensional Data Analysis (with a Course Website and Lecture Slides). Recorded video of a lecture: The Nature of Intelligence, SCDS1001 AI Literacy, Hong Kong University, Februray 5, 2025. Recorded video of talk: Transparent and Consistent Deep Representation Learning, Mathematics of UC Davis, March 6, 2024. Recorded videos on Youtube of From Artificial Intelligence to Autonomous Inelligence, in Mandarin (with Slides), Harvard Academic Saloon, March 10, 2023. Recorded videos on Youtube of Tutorial and Lectures of the 3rd SLowDNN Workshop, Abu Dhabi, January 3-6, 2023. Recorded video on On the Principles of Parsimony and Self-Consistency: Structured Compressive Closed-loop Transcription, IDS HKU, Nov. 25, 2022. Recorded video on On Parsimony and Self-Consistency, the Origin and Nature of Intelligence Workshop, BAAI, September 21, 2022. Recorded video on Closed-Loop Data Transcription via Minimaxing Rate Reduction (with Paper and Slides), Berkeley Neuroscience Redwood Center, December 2, 2021. Recorded video on ReduNet: Deep (Convolution) Networks from First Principles (with Paper ), at CMSA of Harvard University, April 16, 2021. Recorded video on Learning to Detect Geometric Structures from Images, CVPR 3D Scene Understanding Workshop, June 19, 2021. Recorded video of An Overview of Reinforcement Learning and Optimal Control (with Slides), February 17, 2021.