Zhenguo Li

Department of Computer Science and Engineering, Hong Kong University of Science and Technology

Names

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

Zhenguo Li (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.

****@huawei.com
,
****@ee.columbia.edu
,
****@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.

Full Professor
Department of Computer Science and Engineering, Hong Kong University of Science and Technology (cse.ust.hk)
2023Present
 
Principal Researcher
Huawei Noah's Ark Lab (huawei.com)
2013Present
 
Postdoc
Columbia University (ee.columbia.edu)
20092013
 
PhD student
The Chinese University of Hong Kong (ie.cuhk.edu)
20052009
 

Advisors, Relations & Conflicts

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

Coauthor
Liangliang Cao
****@yahoo-inc.com
20112016
 
Coauthor
Yadong Mu
****@gmail.com
20112015
 
Coauthor
Go Irie
****@ieee.org
20132014
 
Coauthor
Shih-fu Chang
****@columbia.edu
20112014
 
Coauthor
Dong Liu
****@ee.columbia.edu
20112014
 
Coauthor
Liangliang Cao
****@us.ibm.com
20112014
 
Coauthor
Fuchun Sun
****@mail.tsinghua.edu.cn
20112014
 
Coauthor
John Wright
****@columbia.edu
20112014
 
Coauthor
Yu-gang Jiang
****@fudan.edu.cn
20112014
 
Coauthor
Rongrong Ji
****@xmu.edu.cn
20112014
 
Coauthor
Rongrong Ji
****@ee.columbia.edu
20112014
 
Coauthor
Go Irie
****@lab.ntt.co.jp
20112014
 

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

LLM, prompting, chain-of-thought prompting, reasoning
20222023
 
automated theorem proving, math word problems
20222023
 
generative models, diffusion models
20202023
 
out-of-distribution generalization, open-world learning
20192023
 
lossless compression, data compression, model generalization
20192023