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Day 1 - 20th Jul, 2020 |
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8:00 am – 8:10 am |
Opening Ceremony |
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8:10 am – 9:10 am |
Keynote Speech: Chandrajit Bajaj, The University of Texas at Austin Learning to Correct Form and Function with Reinforcement |
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9:10 am – 10:10 am |
Keynote Speech: Geoffrey Ye Li, Georgia Institute of Technology Deep Learning in Wireless Communications |
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10:10 am – 10:50 am |
Invited Talk: Yuxin Chen, Princeton University Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction |
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10:50 am – 11:10 am |
Coffee Break |
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11:10 am – 12:10 pm |
Keynote Speech: Laurent El Ghaoui, UC Berkeley Implicit Models for Robust Deep Learning |
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12:10 pm – 12:50 pm |
Invited Talk: Qing Qu, UMich Ann Arbor Learning Low-complexity Models from the Data – Geometry, Optimization, and Applications |
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12:50 pm – 2:10 pm |
Lunch Break(Welcome lunch for guests) |
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2:10 pm – 2:50 pm |
Invited Talk: Itzhak Tamo, Tel-Aviv University Combinatorial list-decoding of Reed-Solomon Codes beyond the Johnson Radius |
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2:50 pm – 3:30 pm |
Invited Talk: Hye Won Chung, KAIST Crowdsourced Classification with XOR Queries: Fundamental Limits and an Efficient Algorithm |
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3:30 pm – 4:10 pm |
Invited Talk: Hui Huang, Shenzhen University Learning Points |
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4:10 pm – 5:30 pm |
Open Discussion |
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5:30 pm – 6:30 pm |
Supper Break |
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Day 2 - 21st Jul, 2020 |
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8:00 am – 9:00 am |
Keynote Speech: Alexander Barg, University of Maryland Coding Theory and Uniform Distributions |
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9:00 am – 10:00 am |
Keynote Speech: Ercan E. Kuruoğlu, Tsinghua-Berkeley Shenzhen Institute Beyond Trans-dimensional Sampling: Generalised Bayesian Model Selection |
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10:00 am – 10:40 am |
Invited Talk: Xiugang Wu, University of Delaware Information Constrained Optimal Transport: From Talagrand, to Marton, to Cover |
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10:40 am – 11:00 am |
Coffee Break |
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11:00 am – 12:00 pm |
Keynote Speech: Yi Ma, UC Berkeley Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction |
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12:00 pm – 12:40 pm |
Invited Talk: Chee Wei TAN, City University of Hong Kong To Prove or to Disprove: Automated Reasoning by Convex Optimization |
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12:40 pm – 2:10 pm |
Lunch Break |
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2:10 pm – 2:50 pm |
Invited Talk: Song Yao, Senior Director of AI Business in Xilinx,Xilinx |
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2:50 pm – 3:30 pm |
Invited Talk: Yang Liu, Principal Researcher of AI Department, Webank |
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3:30 pm – 4:10 pm |
Invited Talk: Baoyuan Wu, Principal Researcher of Tencent AI Lab, Tencent |
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4:10 pm – 4:30 pm |
Coffee Break |
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4:30 pm – 5:10 pm |
Invited Talk: Weixi Gu, Industrial Intelligence Research Team Leader, China Academy of Industrial Internet |
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5:10 pm – 5:50 pm |
Invited Talk: Shuang Liang, CTO, Novauto |
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5:50 pm – 7:00 pm |
Supper Break |
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Day 3 - 22nd Jul, 2020 |
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8:00 am – 9:00 am |
Keynote Speech: S. Joe Qin, City University of Hong Kong |
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9:00 am – 9:40 am |
Invited Talk: Arya Mazumdar, University of Massachusetts Amherst Learning Mixtures and Trace Reconstruction |
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9:40 am – 10:20 am |
Invited Talk: Yuting Wei, Carnegie Mellon University Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model |
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10:20 am – 11:00 am |
Invited Talk: Jing Yang, Pennsylvania State University Stochastic Linear Contextual Bandits with Diverse Contexts |
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11:00 am – 11:20 am |
Coffee Break |
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11:20 am – 12:20 pm |
Keynote Speech: Qingfu Zhang, City University of Hong Kong Decomposition Multiobjective Optimization and Pareto Multitask Learning |
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12:20 pm – 1:00 pm |
Invited Talk: Xueshuang Xiang, Qian Xuesen Laboratory of Space Technology Towards the Blind Defense of Deep Learning |
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1:00 pm – 2:30 pm |
Lunch Break |
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2:30pm – 4:00pm |
Student Oral Presentation |
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4:00pm – 6:00pm |
Student Poster Presentation |
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6:00 pm – 7:00 pm |
Supper Break |