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.
- Distinguished Lecture, ECE Department, Iowa State
University, Fall 2025.
- Plenary Lecture for the International Artificial
Intelligence Summer School - IAISS 2025, Italy, September 21-25,
2025.
- Keynote Speech, the International Conference on
Learning Representations (ICLR), Singapore, April 24, 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, 2024.
- 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.
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©2017 Yi Ma
Last modified: Sat Mar 22 13:42:13 PDT 2025
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University of California,
Berkeley 
