【SDS Colloquium Series】Data-Centric AI Research @ GLOW.AI
SDS Colloquium Series | |
| Topic | Data-Centric AI Research @ GLOW.AI |
| Speaker | Bryan Kian Hsiang LOW, Associate Professor of Computer Science, Associate Vice President (AI), National University of Singapore |
| Host | Zhongxiang DAI, Assistant Professor, School of Data Science, CUHK-Shenzhen |
| Date | 5 December (Thursday), 2024 |
| Time | 2:00 PM - 3:00 PM, Beijing Time |
| Format | Hybrid |
| Venue | Room 103, Dao Yuan Building |
| Language | English |
Abstract | |
| This talk will advocate a data-centric viewpoint of AI research, largely focusing on large language models (LLMs). In particular, I will discuss four major research directions on data-centric AI that my group has pursued, namely, data at (LLM) inference, data attribution & provenance for responsible AI, trustworthy data valuation & incentives in ML, and machine unlearning & data removal. | |
Biography | |
Dr. Bryan Low is an Associate Professor of Computer Science at the National University of Singapore (NUS). He is the Associate Vice President (AI) at NUS, the Director of AI Research at AI Singapore, and the Deputy Director of NUS AI Institute. He obtained the B.Sc. (Hons.) and M.Sc. degrees in Computer Science from National University of Singapore, Singapore, in 2001 and 2002, respectively, and the Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, Pennsylvania, in 2009. His research interests include probabilistic & automated machine learning, planning under uncertainty, and multi-agent/robot systems. Dr. Low is the recipient of the (1) Andrew P. Sage Best Transactions Paper Award for the best paper published in all 3 of the IEEE Transactions on Systems, Man, and Cybernetics - Parts A, B, and C in 2006; (2) National University of Singapore Overseas Graduate Scholarship for Ph.D. studies in Carnegie Mellon University (CMU) in 2004-2009; (3) Best Paper Award at the ICML 2024 Workshop on AI for Science; (4) Singapore Computer Society Prize for Best M.Sc. Thesis in School of Computing, National University of Singapore in 2003; and (5) Faculty Teaching Excellence Award in School of Computing, National University of Singapore in 2017-2018. Dr. Low has served as a World Economic Forum’s Global Future Councils Fellow for the Council on the Future of Artificial Intelligence and Robotics from Sep 2016 to Jun 2018 and an IEEE Robotics & Automation Society (RAS) Distinguished Lecturer for the IEEE RAS Technical Committee on Multi-Robot Systems in Mar 2019. He has served as an organizing chair for the IEEE RAS Summer School on Multi-Robot Systems in Jun 2016, the AI Summer Schools in Jul 2019 and Aug 2020, and the NeurIPS 2021 Workshop on New Frontiers in Federated Learning. Dr. Low has also served as associate editors, (senior) area chairs and program committee members, and reviewers for premier AI (specifically, multiagent systems, AI planning, robotics, machine learning) conferences: IJCAI, AAAI, ECAI, AAMAS, ICAPS, RSS, IROS, ICRA, CoRL, NeurIPS, ICML, AISTATS, ICLR and journals: TKDE, JMLR, JAIR, MLJ, TNNLS, T-ASE, IJRR, T-RO, AURO, JFR, TOSN, JAAMAS. He was the top 5% reviewer for ICML 2019, top 33% reviewer for ICML 2020, and an expert reviewer for ICML 2021. | |
