Integration of First-order Logic and Deep Learning

Speaker:
Prof. Sinno Jialin Pan
Provost’s Chair Associate Professor
School of Computer Science and Engineering
Nanyang Technological University

Abstract:
How to develop a loop to integrate existing knowledge to facilitate deep learning inference and then refine knowledge from the learning process is a crucial research problem. As first-order logic has been proven to be a powerful tool for knowledge representation and reasoning, interest in integrating firstorder logic into deep learning models has grown rapidly in recent years. In this talk, I will introduce our attempts to develop a unified integration framework of first-order logic and deep learning with applications to various joint inference tasks in NLP.

Biography:
Dr. Sinno Jialin Pan is a Provost’s Chair Associate Professor with the School of Computer Science and Engineering at Nanyang Technological University (NTU) in Singapore. He received his Ph.D. degree in computer science from the Hong Kong University of Science and Technology (HKUST) in 2011. Prior to joining NTU, he was a scientist and Lab Head with the Data Analytics Department at Institute for Infocomm Research in Singapore. He joined NTU as a Nanyang Assistant Professor in 2014. He was named to the list of “AI 10 to Watch” by the IEEE Intelligent Systems magazine in 2018. He serves as an Associate Editor for IEEE TPAMI, AIJ, and ACM TIST. His research interests include transfer learning and its real-world applications.

Join Zoom Meeting:
https://cuhk.zoom.us/j/97292230556?pwd=MDVrREkrWnFEMlF6aFRDQzJxQVlFUT09

Enquiries: Ms. Karen Chan at Tel. 3943 8439