Fengxiang He

JD Explore Academy

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Fengxiang He (Preferred)

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@uni.sydney.edu.au
,
****@sydney.edu.au
,
****@gmail.com

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Algorithm Scientist
JD Explore Academy (jd.com)
2021Present
 
PhD student
The University of Sydney (sydney.edu.au)
20172021
 
Undergrad student
University of Science and Technology of China (ustc.edu.cn)
20132017
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coauthor
Zeke Xie
****@ms.k.u-tokyo.ac.jp
2019Present
 
Coauthor
Masashi Sugiyama
****@k.u-tokyo.ac.jp
2019Present
 
Coauthor
Issei Sato
****@k.u-tokyo.ac.jp
2019Present
 
Coworker
Bohan Wang
****@gmail.com
2019Present
 
Coworker
Shaopeng Fu
****@gmail.com
2019Present
 
Coworker
Shiye Lei
****@gmail.com
2019Present
 
Coauthor
Bo Du
****@whu.edu.cn
2019Present
 
Coauthor
Leifei Zhang
****@whu.edu.cn
2019Present
 
Coworker
Jingyuan Li
****@andrew.cmu.edu
2019Present
 
Coauthor
Yonghao Xu
****@ieee.org
2019Present
 
Coauthor
Fusheng Hao
****@siat.ac.cn
2019Present
 
Coauthor
Jun Cheng
****@siat.ac.cn
2019Present
 
Advisor
Dacheng Tao
****@sydney.edu.au
2017Present
 
Advisor
Tongliang Liu
****@sydney.edu.au
2017Present
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

Deep learning theory
2017Present
 
Theoretical machine learning
2017Present