Over the past few years, Google and many major IT companies have invested significantly in Machine Learning technology, in particular, so-called “Deep Learning” using very-large-scale multi-layer neural networks, in order to enhance their services with, for example, better image searching and machine translation capabilities. Deep Learning has already demonstrated great success in applications across many domains such as object detection, image classification, speech recognition, natural language and text processing, medical diagnosis and drug discovery. We envision that Deep Learning will have great potential in many other areas of research and applications.


A Deep Learning Research & Applications Centre (DLC) was established in the Hang Seng Management College under funding support from the RGC. The main objectives of DLC are to promote and apply Deep Learning to projects in various domains and to escalate the research performance of the College. This workshop is part of the DLC's efforts to promote Deep Learning technology to the community and is a forum for the exchange of experiences and ideas in the application of Deep Learning in various domains.

Event details

Date 9 January 2018 (Tuesday)
Time 9:00 ~ 18:15
Venue Room N501, 5/F.
Academic and Administration Building (Block N)
Hang Seng Management College
Hang Shin Link, Siu Lek Yuen, Shatin
N.T., Hong Kong
9:00 ~ 9:30 Registration & Light Refreshment
9:30 ~ 9:45 Conference Opening
Prof. Simon HO, Hang Seng Management College
9:45 ~ 10:30 Machine Learning for Creativity
Prof. Yi-Ke GUO, Imperial College London
10:30 ~ 11:15 Deep Spatiotemporal Models for Sequence Prediction
Prof. Dit-Yan YEUNG, Hong Kong University of Science and Technology
11:15 ~ 11:25 Break
11:25 ~ 12:05 Broad Learning (寬度學習): A Paradigm Shift in Discriminative Incremental Learning
Prof. C.L. Philip CHEN, University of Macau
12:05 ~ 12:50 Deep Networks Meet Causal Modeling
Dr. Kun ZHANG, Carnegie Mellon University, USA
12:50 ~ 14:30 Lunch
14:30 ~ 15:15 Deep Learning in Machine Translation
Dr. Yang LIU, Tsinghua University
15:15 ~ 16:00 SPBA: Statistical Principle-Based Approach for Biomedical Named Entity Recognition
Dr. Wen-Lian HSU, Academia Sinica, Taiwan
16:00 ~ 16:15 Afternoon Tea
16:15 ~ 17:00 Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method
Dr. Xu SUN, Peking University
17:00 ~ 17:45 Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Dr. Zhenguo LI, Huawei Technologies
17:45 ~ 18:00 Closing Session
Prof. Y.V. HUI, Hang Seng Management College
18:40 ~ Dinner
Microsoft AI for Global Good
Mr. Fred SHEU, Microsoft Hong Kong Limited

Campus Map


HSMC (Kwong Sin Street) Bus Stop

Mini-bus︰65A, 65K, 808, 808P
Bus︰ 83K, 83S, 86, 85A

Tate's Cairn Tunnel Bus Stop

Bus︰ 272S, 277X, 286M, 307, 373, 
680,  680A,  680X,   681,  681P,  682,  682P, 
74X, 75X, 80X, 82P, 82X, 83X, 84M, 85C, 85M, 89C, 89D, 89X

For the transportation details, please click here.

Contact Us

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Email: or Tel: 3963-5176

Website: Deep Learning Research & Application Centre: