Forum on Data Science and AI (DSAI)

Program

Day 1: 26 July 2022 (Tuesday)
09:00 - 09:30 Opening Ceremony
09:30 - 10:30 John Hopcroft    (Cornell University, USA)
Math for the Big Data Revolution
10:30 - 11:00 Discussions
11:00 - 12:00 Yi Ma    (University of California, Berkeley, USA)
CTRL: Closed-Loop Data Transcription via Rate Reduction
12:00 - 12:30 Yiran Chen    (Duke University, USA)
Scalable, Heterogeneity-Aware and Trustworthy Federated Learning
12:30 - 14:00 Lunch Break
14:00 - 14:30 Yingying Fan    (University of Southern California, USA)
Asymptotic Properties of High-Dimensional Random Forests
14:30 - 15:30 Dacheng Tao    (JD Explore Academy, China)
More Is Different: ViTAE elevates the art of computer vision
15:30 - 15:45 Break
15:45 - 16:15 Kay Chen Tan    (The Hong Kong Polytechnic University, China)
Advances in Evolutionary Transfer Optimization
16:15 - 16:45 Qingpeng Zhang    (City University of Hong Kong, China)
GraphSynergy: A Network-inspired Deep Learning Model for Anticancer Drug Combination Prediction
16:45 - 17:15 Ruth Misener    (Imperial College London, China)
OMLT: Optimization and Machine Learning Toolkit
17:15 - 18:15 Lightning Talks
Clint Ho, Xinyue Li, Linyan Li, Yu Yang, Xiao Qiao & Xiangyu Zhao
(City University of Hong Kong, China)
Day 2: 27 July 2022 (Wednesday)
09:00 - 10:00 Kai-fu Lee    (Chairman and CEO, Sinovation Ventures)
How AI Will Transform Our World
10:00 - 10:30 Discussions
10:30 - 11:30 Nick Sahinidis    (Georgia Institute of Technology, USA)
Data-driven Optimization
11:30 - 12:00 Fengqi You    (Cornell University, USA)
Quantum Computing for Optimization and Machine Learning: From Models and Algorithms to Use Cases
12:00 - 12:30 Chuchu Fan    (Massachusetts Institute of Technology, USA)
Building Certifiably Safe and Correct Large-scale Autonomous Systems
12:30 - 14:00 Lunch Break
14:00 - 14:30 Yang Shi    (University of Victoria, Canada)
Accelerated Dual Averaging Methods for Decentralized Constrained Optimization
14:30 - 15:30 Qiang Yang    (Hong Kong University of Science and Technology, China)
Recent Advances in Trustworthy Federated Learning
15:30 - 15:45 Break
15:45 - 16:15 Jun Wang    (City University of Hong Kong, China)
Advances in Collaborative Neurodynamic Optimization
16:15 - 16:45 Peng Shi    (University of Adelaide, Australia)
Cyber-physical Systems: Analysis and Design
16:45 - 17:15 Qingfu Zhang    (City University of Hong Kong, China)
Multiobjective Evolutionary Computation based Decomposition
17:15 - 17:20 Break
17:20 - 18:15 Panel Discussion
Moderator: Sam Kwong(City University of Hong Kong, China)
Panelists:
Xiaohua Jia (City University of Hong Kong, China)
S. Joe Qin (City University of Hong Kong, China)
Hong Yan (City University of Hong Kong, China)
Houmin Yan (City University of Hong Kong, China)
Qiang Yang (Hong Kong University of Science and Technology, China)