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Workshop on Data Science and Deep Learning (DSDL2018)
Sponsored by Department of Statistics and Actuarial Science under the Kin Lam Development Fund for Data Analytics
April 7, 2018 (Saturday)
9:30 am - 5:05 pm (Registration 9:00 am - 9:30 am,
Lunch time 12:10 pm - 2:00 pm)
Venue: Theatre P4, Chong Yuet Ming Physics Building, HKU
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Data science and deep learning become extremely active research areas in statistics and computer science. They bring both big opportunities and unprecedented challenges to traditional research exercises. With the generous support of Professor Kin Lam’s fund, we plan to organize the workshop on data science and deep learning at the University of Hong Kong. The main topics of this workshop include big data analytics, high dimensional statistics, deep neural networks, large-scale optimization and GPU computing, with applications across different science and engineering fields. This workshop serves as an avenue for idea exchanging and networking for collaborations in the big data and deep learning areas, which bridges statistics and computer science to tackle the new challenges.
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Please click here for the photo album.
Programme and Abstracts (Updated on April 6, 2018)
| Morning session |
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| 9:00 – 9:30 |
Registration |
| 9:30 – 9:35 |
Opening Address |
| 9:35 – 10:05 |
Big Data, a Golden Opportunity for Mathematics Zhihong Xia
Department of Mathematics, Southern University of Science and Technology, China |
| 10:05 – 10:35 |
Role of Statistical Metric in Big Industrial Data and Artificial Intelligence Chunlin Ji
Vice President, Kuang-Chi Institute of Advanced Technology, Shenzhen, China |
| 10:35 – 11:10 |
Photo Taking and Coffee Break |
| 11:10 – 11:40 |
Tensor Models for Data Analysis Michael Ng
Department of Mathematics, Hong Kong Baptist University, Hong Kong |
| 11:40 – 12:10 |
Deep Learning for Image Recognition Yizhou Yu
Department of Computer Science, HKU |
| 12:10 – 14:00 |
Lunch |
| Afternoon session |
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| 14:00 – 14:30 |
Ensemble Approaches in Machine Learning Xin Yao
Department of Computer Science, Southern University of Science and Technology, China |
| 14:30 – 15:00 |
Learning Deep Representation for Image Recognition Di Lin
Department of Computer Science, Shenzhen University, China |
| 15:00 – 15:30 |
Forecasting High-Dimensional Covariance Matrices Using Deep Learning Philip L.H. Yu
Department of Statistics and Actuarial Science, HKU |
| 15:30 – 16:00 |
Coffee Break |
| 16:00 – 16:30 |
Profiling Users from Online Social Behaviors, with Applications in Tencent Social Ads Rick Jin
Director of Ads Quality R&D Center, Social & Performance Ads Department, Tencent, Shenzhen, China |
| 16:30 – 17:00 |
AI-powered Medical Imaging Analytics via Deep Learning Aijun Zhang
Department of Statistics and Actuarial Science, HKU |
| 17:00 – 17:05 |
Closing Remarks |
| 18:00 |
Workshop dinner |
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Registration fee is free of charge. Please register here.
| Chunlin Ji | Kuang-Chi Institute of Advanced Technology, Shenzhen, China |
| Rick Jin | Social & Performance Ads Department, Tencent, Shenzhen, China |
| Di Lin | Department of Computer Science, Shenzhen University, China |
| Michael Ng | Department of Mathematics, Hong Kong Baptist University, Hong Kong |
| Zhihong Xia | Department of Mathematics, Southern University of Science and Technology, Shenzhen, China |
| Xin Yao | Department of Computer Science, Southern University of Science and Technology, Shenzhen, China |
| Philip L.H. Yu | Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong |
| Yizhou Yu | Department of Computer Science, The University of Hong Kong, Hong Kong |
| Aijun Zhang | Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong |
| Fei Jiang | The University of Hong Kong, Hong Kong |
| Guosheng Yin | The University of Hong Kong, Hong Kong |
| Philip L.H. Yu | The University of Hong Kong, Hong Kong |
| Aijun Zhang | The University of Hong Kong, Hong Kong |
The Organising Committee would like to extend deep gratitude to Professor Kin Lam for pledging to establish the Kin Lam Development Fund for Data Analytics. The Fund is to support staff development, simulate research and collaborative initiatives in the area of data analysis. Professor Lam is currently an Honorary Professor and also a long-time patron of the Department of Statistics and Actuarial Science, The University of Hong Kong.
Please feel free to email enquiries to saas@hku.hk.
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