Hwanjun Song

Hwanjun Song

Research Scientist

NAVER AI Lab

Biography

Currently, I am a Research Scientist at NAVER AI Lab. Previously, I graduated with my PhD in February 2021 from the Graduate School of Data Science at KAIST, and worked as a research intern at Google Research. My current research interests lie in improving the performance of machine learning techniques under real-world scenarios for AI applications. I am particularly interested in designing more advanced approaches to handle ML issues related to data scale and quality, major challenges to hinder the practical use of ML approaches.

I am open to collaborating with anyone who is interested in my previous studies or new problems/challenges for Machine Learning, Computer Vision, and Data Mining. Please drop me an email with your CV if you want a research collaboration or want to apply for Research Intern positions on my team.

Interests
  • Machine Learning
  • Computer Vision
  • Datamining
Education
  • PhD in KSE (Sep. 2016 ~ Feb. 2021)

    Korea Advanced Institute of Science and Technology (KAIST)

Experience

 
 
 
 
 
NAVER AI Lab
Research Scientist
NAVER AI Lab
Mar 2021 – Present
 
 
 
 
 
Google Research
Research Intern
Google Research
Jun 2020 – Dec 2020

2022’s Accomplish­ments

A full paper got accepted at ICML 2022
Time Is MattEr: Temporal Self-supervision for Video Transformers
A full paper got accepted at ICML 2022
Information-Intensive Dataset Condensation
A full paper got accepted at CVPR 2022
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries
A paper, COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies, was selected as oral presentation at AAAI 2022
A full paper got accepted at ICLR 2022
ViDT: An Efficient and Effective Fully Transformer-based Object Detector
A full paper got accepted at ICLR 2022
Coherence-based Label Propagation over Time Series for Accelerated Active Learning
A full paper got accepted at AAAI 2022
Meta-Learning for Online Update of Recommender Systems
A full paper got accepted at AAAI 2022
Title: COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies

Publications