Academic Seminar | Why does Economists and Computer Scientists need each other
Topic: Why does Economists and Computer Scientists need each other
Time & Date: 14:00-15:00, January 24, Wednesday
Venue: Room 109, Zhi Xin Building
Speaker: Prof. Yang Yu
Tsinghua University
British and Chinese Darwinism(s)
Title: British and Chinese Darwinism(s): Yan Fu (1854-1921) and Translation of Science── “I made an error in studying horizontal-line books and the world has despised me as a beastly barbarian”
Date:January 23rd (Tuesday), 2018
Time: 19:00-21:00
Venue: Room 101, Chengdao Building
Speaker: Dr. Kuan-yen Liu
Academic paper of CUHK-Shenzhen undergraduate Accepted by RSC Adv
【CUHK Distinguished Lecture Series】Big Data Based Behavioral Research
The Chinese University of Hong Kong, Shenzhen would regularly invite professors and scholars from The Chinese University of Hong Kong to deliver themed speeches at CUHK Distinguished Lecture Series. The aim of this Lecture Series is to foster academic exchanged collaboration between CUHK and CUHK-Shenzhen.
Topic: Big Data Based Behavioral Research
Speaker: Professor Jia Jianmin
Date: January 12th, Friday
Outlook for Chinese Markets 2018
Topic: Outlook for Chinese Markets 2018
Speaker: Prof. Liu Mingkang
Former Chairman, China Banking Regulatory Commission
Board Member and Distinguished Professor of Practice, Shenzhen Finance Institute CUHK-Shenzhen
Host: Prof. Zhang Bohui
Associate Director of Shenzhen Finance Institute CUHK-Shenzhen
Date: Jan. 11th, Thursday
Time: 15:00-16:30
Combating Child Labor: Incentives and Information Disclosure in Global Supply Chains
Shadow Banking and Interest Rate Liberalization: Evidence from Wealth Management Products and Interbank CDs in China
Weekly Seminar Schedule
12.28（Thursday）
Topic: Locally Repairable Codes with Awareness of Network Topology
Time & Date: 10:30-11:30, December 28, Thursday
Venue: Room 208, Cheng Dao Building
Speaker: Prof. Chi Wan Sung
12.29（Friday）
Time & Date: 9:30-11:30, December 29, Friday
Venue: Room 208, Cheng Dao Building
Topic 1: Current Directions of Big Data and Artificial Intelligence and Deep Learning: Role of Training Students and Consulting