Date and Time (China standard time): Friday, April 18, 1:00 – 2:00 pm

Location: IB 2028

Speaker: 

Dr. Tao Lin

Tenure-Track Assistant Professor at Westlake University

Abstract：

The success of modern deep learning largely depends on the availability of high-quality data. As intelligent edge devices and generative models continue to evolve, the volume of data will keep increasing, presenting both opportunities and challenges towards achieving general artificial intelligence. In this talk, we will explore the perspectives of data sampling, generation, and collaboration, and then introduce some results on improving collaborative intelligence in a dynamic world. We will further discuss the idea of autonomous intelligence evolving.

Bio: 

Dr. Tao Lin has been a tenure-track assistant professor at Westlake University in China since November 2022. Before that, he was a Ph.D. student at EPFL, supervised by Prof. Martin Jaggi and Prof. Babak Falsafi. He received a Master of Science degree from EPFL and a Bachelor of Engineering degree from Zhejiang University.
His research focuses on deep learning and optimization, as well as its application in the distributed deep learning and inference system. Dr. Lin has published over 40 research papers at top-tier international machine learning conferences like ICML, NeurIPS, and ICLR. He has received the EPFL IC Outstanding Doctoral Thesis Award, and ECCV 2024 best paper candidate.