I have officially moved to the University of Hong Kong, and currently hold the positions:

• 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.

• A New Course at HKU on Principles of Deep Representation Learning, Fall 2026.
• A New Open Source Book: Principles and Practice of Deep Representation Learning, version 2.0, March 1, 2026.
• An Interview, on Youtube Video, by the blogger Machine Learning Street Talk (MLST) about our new book.
  
  
• Workshop on "Mathematical Foundations in Deep Learning and Generative AI", the Institute for Advanced Study in Mathematics, Hangzhou, China, August 30 to September 4, 2026.
• Short Course for the Mathematical Foundations & Methodologies for Artificial Intelligence at the Institute for Mathematical Sciences (IMS), National University of Singapore (NUS), August 17-21, 2026.
• Colloquium Lecture in the Department of Mathematics at National University of Singapore, August 16-17, 2026.
• Keynote at the ICML2026 Workshop on Foundations of Deep Generative Models, the COEX Convention & Exhibition Center, Seoul, South Korea, July 10th, 2026.
• Short Course on "Learning Deep Low-dimensional Models from High-Dimensional Data", The European Summer School on Artificial Intelligence, Vienna, Austria, 6-10 July 2026.
• Keynote at the ISIT2026 Workshop on ITGenNexus: Bridging Information Theory and Generative AI, Guangzhou, China, July 3rd, 2026.
• Attending CVPR, Denver, Colorado, June 3-7, 2026.
• Berkeley EECS Colloquium, Pursuing the Nature of Intelligence, Soda 306, Berkeley, 3pm, May 6, 2026.
• Invited talk at Stanford Vision Seminar, Stanford, 3:30pm, May 4, 2026.
• Keynote at UPenn, IDEAS on Generative AI Symposium, Philadelphia, April 30, 2026.
• General Chair of International Conference on Parsimony and Learning (CPAL), Tubingen, Germany, March 2026.
• Sir Run Run Shaw Distinguished Visiting Scholar Lecture, Chinese University of Hong Kong, February 13.
• Sir Run Run Shaw Distinguished Visiting Scholar High-Table Dinner, Chinese University of Hong Kong, February 11.
  

• Recorded video of Pursuing the Nature of Intelligence, Berkeley EECS Colloquium, May 6, 2026.
  
  
• Project Website: GAUSS: General Assessment of Underlying Structured Skills in Mathematics.
  
  
• Recorded video of Pursuing the Nature of Intelligence (with Slides), Invited Talk at Purdue University, August 1, 2025.
  
  
• Recorded video of Pursuing the Nature of Intelligence (with Slides), Columbia University, May 1, 2025.
  
  
• 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).