Time : 10:30-12:30, June 11((Friday) & 10:30-12:30, June 18 (Friday)

Meeting Link （Zoom）:  

https://uow-au.zoom.us/j/87318595140?pwd=VEFqVDZpMzZGQXNtTk8yZVg4OVZrZz09

Topic:  

1.  Three paradigms of machine learning: supervised learning, unsupervised learning and reinforcement learning.

2. Introduction to Clustering.

Speaker: Dr. Peng Wang

Host by: A/Prof. Lei Niu

Speakers Information:

Peng Wang received the PhD degree from the School of Information Technology and Electrical Engineering, University of Queensland, in 2017. He is currently a lecturer at the School of Computing and Information Technology, University of Wollongong (UOW). Before joining UOW, he was a research fellow with Australian Institute for Machine Learning. His research interests include computer vision and deep learning. He has been actively publishing his research work on top-tier international journals and conferences, such as TPAMI, International Journal of Computer Vision, CVPR, and ECCV. He serves as workshop chair for ACM Multimedia 2021 and tutorial chair for ACCV 2022. He is regular reviewer of TPAMI, CVPR, ICCV, and ECCV. He was recognized as outstanding reviewer by ECCV 2020.

Central China Normal University Wollongong Joint Institute