Talk by Noah's Ark Lab of Huawei Technologies: Recent Advances in Research at Noah's Ark Lab

Noah's Ark Lab of Huawei Technologies will visit our department and give a talk on their latest researches. The details of the talk are as follows:

Event: Talk by Noah's Ark Lab of Huawei Technologies: Recent Advances in Research at Noah's Ark Lab

Date: 12 May 2015 (Tuesday)

Time: 3-4pm

Venue: Rm6573, HKUST (lift 29/30)

Medium: English

Abstract:

The Noah's Ark Lab is a research lab of Huawei Technologies, located in Hong Kong and Shenzhen. The mission of the lab is to make significant contributions to both the company and society by innovating in data mining, artificial intelligence, and related fields. In this talk, three speakers will introduce some of the achievements in research made by the lab. First, Dr. Hang Li will give a high level introduction to the research areas as well as the research projects of the Noah's Ark Lab. Dr. Mingxuan Yuan will explain their work on mining from large scale telecommunication data. Dr. Zhenguo Li will introduce their project on large-scale graph mining.

Speakers:

Dr. Hang Li is the Director of the Noah's Ark Lab of Huawei Technologies. His research areas include information retrieval, natural language processing, statistical machine learning, and data mining.

Dr. Mingxuan Yuan is a researcher at the Noah's Ark Lab. His current research areas include telecom data storage/management, telecom data mining and privacy. He earned his PhD in Computer Science from the Hong Kong University of Science and Technology.

Dr. Zhenguo Li is a researcher at the Noah's Ark Lab. His research areas are graph data mining, machine learning, and artificial intelligence. Prior to joining the Noah's Ark Lab, he was an Associate Research Scientist in Columbia University. He obtained BS and MS degrees in Mathematics at Peking University and PhD degree in Information Engineering in the Chinese University of Hong Kong.

Remarks: Students are welcome to submit their CVs during the talk.

Registration Deadline: 11 May 2015 (Monday), 11:00am


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