Prof. Kaizhu Huang, Duke Kunshan University, China
Bio: Kaizhu Huang works on trustworthy AI, machine learning, and pattern recognition. He is Tenured Full Professor and Director of Data Science Research Center, at Duke Kunshan University (DKU). Prof. Huang obtained his PhD degree from Chinese University of Hong Kong (CUHK). He worked in Fujitsu Research Centre, CUHK, University of Bristol, National Laboratory of Pattern Recognition, Chinese Academy of Sciences from 2004 to 2012. He was the recipient of the 2011 Asia Pacific Neural Network Society Young Researcher Award. He published more than 250 international conference papers including 130+ SCI indexed journal papers and 60+ CCF-A or IEEE/ACM transactions. He received best (runner-up) paper or book award about 10 times in major AI conferences. In particular, he has recently received the 2024 IEEE ICDM 10 Years High-Impact Paper Award. He acts as Editor-in-Chief of Elsevier CSSI and serves as associated editors/advisory board members in 6 international journals and book series (e.g. Pattern Recognition Journal, and Neural Network Journal). He was invited as keynote/tutorial speaker in more than 50 international conferences or workshops.
Speech Title: Learning with Robust Generalization: Challenges, Methods, and Outlook