Wednesday

 

Big Data Challenges for Predictive Modeling of Complex Systems 

November 26-30, 2018  |  The University of Hong Kong

 

Monday Tuesday Wednesday Thursday Friday Poster Presentation

WEDNESDAY

Location:  Wang Gungwu Lecture Hall

Morning Session Chair:  Philip L.H. Yu, Department of Statistics and Actuarial Science, The University Hong Kong

9:00 - 9:45

KEYNOTE TALK: Prof. Chao Yang, School of Mathematical Sciences and School of Electronics Engineering & Computer Science, Peking University

Title: Pushing the Limit of Sunway TaihuLight for Fully Implicit Simulations of Atmospheric Dynamics

Abstract | Video | Slides

9:45 - 10:15

Speaker: Prof. Ling Guo, Dept. of Mathematics, Shanghai Normal University

Title: Quantifying Total Uncertainty in Physics Informed Neural Networks for Solving Forward and Inverse Stochastic Problems

Abstract | Video | Slides

10:15 - 10:45

Speaker: Prof. Shingyu Leung, Dept. of Mathematics, The Hong Kong University of Science and Technology

Title: A level set based variational Principal Flow Method for NonParametric Dimension Reduction

Abstract | Video | Slides

10:45 - 11:00 BREAK, Atrium

11:00 - 11:45      

KEYNOTE TALK: Prof. Tao Zhou, Director, Web Sciences Center and Big Data Research Center, University of Electronic Science and
Technology of Science 

Title: Computational Socio-Economics

Abstract | Video | Slides

11:45 - 12:15

Speaker: Prof. Chee Wei Tan, Dept. of Computer Science, City University of Hong Kong

Title: Network Centrality as Statistical Inference in Large Networks

Abstract | Video | Slides

12:15 - 1:30

LUNCH (Click for list of places to eat)

Afternoon Session Chair: Dr. Huan Lei, Pacific Northwest National Laboratory, USA

1:30 - 2:15

KEYNOTE TALK: Prof. Yi Zheng, School of Environmental Science and Engineering, Southern University of Science and Technology

Title: Hydrological Modeling in the Era of Big Data: A Computer Vision-Based Approach to Fusing Spatio-Temporal Data

Abstract | Video | Slides

2:15 - 2:45

Speaker: Prof. Michael Hildreth, Dept. of Physics, University of Notre Dame

Title: SCAILFIN: Scalable Cyberinfrastructure for Machine Learning

Abstract | Video | Slides

2:45 - 3:15

Speaker: Prof. Jinwen Ma, Dept. of Information Science, Shool of Mathematical Sciences and LMAM, Peking University

Title: Two Layer Mixture of Gaussian Processes for Curve Clustering Analysis and Prediction

Abstract | Video | Slides

3:15 - 3:45 BREAK, Atrium

3:45 - 4:15

Speaker: Prof. Philip L.H. Yu, Dept. of Statistics and Actuarial Science, The University of Hong Kong

Title: Forecasting High-Dimensional Realized Covariance Matrices

Abstract | Video | Slides

4:15 - 4:45

Speaker: Prof. Jingzhi Li, Dept. of Mathematics, Southern University of Science and Technology, Shenzhen

Title: Microgrid Energy Dispatching For Industrial Zones With Renewable Generations and Electric Vehicles via Stochastic Optimization and Learning

Abstract | Video | Slides

4:45 - 5:15

Speaker: Prof. Matthias Hwai Yong Tan, School of Data Science, City University of Hong Kong

Title: Gaussian Process Modeling of Solutions to Partial Differential Equation Models With Information From Boundary and Initial Conditions

Abstract | Video | Slides

5:15 - 5:45

Speaker: Prof. Daniel P. Palomar, Dept. of Electronic and Computer Engineering,  The Hong Kong University of Science and Technology

Title: Imputation of Time Series with Missing Values under Heavy-Tailed AR Model via Stochastic EM

Abstract | Video | Slides

Note:  Poster Presentations | Posters should be exhibited until noon

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