Professor C.-C. Jay Kuo, Director of MCL, was invited by the IEEE Hong Kong Chapter to deliver a keynote speech titled “On the 2nd AI wave: toward interpretable, reliable, and sustainable AI” in the 2-Day IEEE Workshop on Deep Learning held at the Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong, on April 3, 2023. In his keynote, Professor Kuo pointed out some concerns with the deep learning methodology commonly employed by AI researchers and presented a new green learning paradigm as an alternative that can achieve comparable performance at a lower computational cost.
During his visit to Hong Kong from April 2-7, Professor Kuo visited several universities and gave the following talks:
- “Green learning models for point cloud analysis,” Chinese University of Hong Kong.
- “Green learning models for point cloud analysis,” Hong Kong University of Science and Technology.
- “A lightweight blind image quality assessment (BIQA) method,” Hong Kong Polytechnic University.
- “A lightweight blind image quality assessment (BIQA) method,” City University of Hong Kong.
He used “point cloud analysis” and “blind image quality assessment” as examples, explained how to use the green learning methodology to solve them, and compared the pros and cons of deep learning and green learning.
Furthermore, Professor Kuo gave a special seminar on “How to conduct high-quality research and manage large research groups” to faculty members at the Caritas Institute of Higher Education.
