Gyuwan Kim

UC Santa Barbara

Names

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

Gyuwan Kim (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.

****@gmail.com
,
****@snu.ac.kr
,
****@navercorp.com
,
****@ucsb.edu

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.

PhD student
UC Santa Barbara (ucsb.edu)
2021Present
 
Research Scientist
NAVER Clova & AI LAB (navercorp.com)
20172021
 
MS student
Seoul National University (snu.ac.kr)
20152017
 
Undergrad student
Seoul National University (snu.ac.kr)
20102015
 

Advisors, Relations & Conflicts

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

PhD Advisor
William Wang
****@cs.ucsb.edu
2021Present
 

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

Open-domain Question Answering
2021Present
 
Self-supervised Learning, Transfer Learning, Data Augmentation, Mixup
2020Present
 
Green AI, Knowledge Distillation, Pruning
2020Present
 
Information Retrieval, Query Auto Completion
2019Present
 
Dialog System
2019Present
 
Time Series Prediction
2018Present
 
Question Answering, Question Generation
2017Present
 
Computer Security, Anomaly Detection, Natural Language Processing, Language Modeling
2016Present
 
Recurrent Neural Networks, Sequence-to-sequence Learning, Machine Translation
2016Present
 
Bioinformatics, Structured Prediction, Multi-modal Learning
2015Present
 
Machine Learning, Deep Learning, Representation Learning
2014Present