2026 Jinwoo Shin: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	41	8768	8518	88	88	245	7938

Overview

Jinwoo Shin is affiliated with the Korea Advanced Institute of Science and Technology in South Korea, contributing extensively to the field of computer science with a focus on artificial intelligence and computer vision.

The primary domains of Shin's research include:

Artificial Intelligence
Computer Vision and Pattern Recognition
Applied Mathematics
Computational Theory and Mathematics
Computer Graphics and Computer-Aided Design

The main research topics covered in their work are:

Domain Adaptation and Few-Shot Learning
Reinforcement Learning in Robotics
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Multimodal Machine Learning Applications
Generative Adversarial Networks and Image Synthesis
Anomaly Detection Techniques and Applications

Shin has published a significant number of papers, predominantly on the arXiv platform, totaling 129 publications there. Other notable venues include:

Proceedings of the AAAI Conference on Artificial Intelligence
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
SSRN Electronic Journal
IEEE Access

Recent selected publications illustrate the scope of their research:

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances, 2020, arXiv (Cornell University)
Co²L: Contrastive Continual Learning, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs, 2020, arXiv (Cornell University)
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning, 2020, arXiv (Cornell University)
Layer-adaptive sparsity for the Magnitude-based Pruning, 2020, arXiv (Cornell University)

Frequent collaborators contributing to these research efforts include:

Jongheon Jeong
Kimin Lee
Younggyo Seo
Jihoon Tack
Jaeho Lee

Best Publications

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Kimin Lee;Kibok Lee;Honglak Lee;Jinwoo Shin

1069
Citations
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples

Kimin Lee;Honglak Lee;Kibok Lee;Jinwoo Shin

573
Citations
Co2L: Contrastive Continual Learning

Unknown

354
Citations
Regularizing Class-Wise Predictions via Self-Knowledge Distillation

Sukmin Yun;Jongjin Park;Kimin Lee;Jinwoo Shin

320
Citations
Network adiabatic theorem: an efficient randomized protocol for contention resolution

Shreevatsa Rajagopalan;Devavrat Shah;Jinwoo Shin

291
Citations
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances

Jihoon Tack;Sangwoo Mo;Jongheon Jeong;Jinwoo Shin

280
Citations
M2m: Imbalanced Classification via Major-to-Minor Translation

Jaehyung Kim;Jongheon Jeong;Jinwoo Shin

224
Citations
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild

Kibok Lee;Kimin Lee;Jinwoo Shin;Honglak Lee

183
Citations
Distributed Random Access Algorithm: Scheduling and Congestion Control

Libin Jiang;D Shah;Jinwoo Shin;J Walrand

155
Citations
Video Probabilistic Diffusion Models in Projected Latent Space

Unknown

144
Citations
InstaGAN: Instance-aware Image-to-Image Translation

Sangwoo Mo;Minsu Cho;Jinwoo Shin

138
Citations
Randomized Scheduling Algorithm for Queueing Networks

Devavrat Shah;Jinwoo Shin

130
Citations
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs.

Sangwoo Mo;Minsu Cho;Jinwoo Shin

124
Citations
Neural adaptive content-aware internet video delivery

Hyunho Yeo;Youngmok Jung;Jaehong Kim;Jinwoo Shin

117
Citations
MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing

Taesik Gong;Yeonsu Kim;Jinwoo Shin;Sung-Ju Lee

101
Citations
Learning from Failure: De-biasing Classifier from Biased Classifier

Jun Hyun Nam;Hyuntak Cha;Sungsoo Ahn;Jaeho Lee

96
Citations
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning

Kimin Lee;Kibok Lee;Jinwoo Shin;Honglak Lee

95
Citations
Learning What and Where to Transfer

Yunhun Jang;Hankook Lee;Sung Ju Hwang;Jinwoo Shin

89
Citations
Approximating Spectral Sums of Large-Scale Matrices using Stochastic Chebyshev Approximations

Insu Han;Dmitry Malioutov;Haim Avron;Jinwoo Shin

88
Citations
Large-scale log-determinant computation through stochastic Chebyshev expansions

Insu Han;Dmitry Malioutov;Jinwoo Shin

87
Citations
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning

Jaehyung Kim;Youngbum Hur;Sejun Park;Eunho Yang

84
Citations
Learning from Failure: Training Debiased Classifier from Biased Classifier.

Jun Hyun Nam;Hyuntak Cha;Sungsoo Ahn;Jaeho Lee

45
Citations
Consistency Regularization for Certified Robustness of Smoothed Classifiers

Jongheon Jeong;Jinwoo Shin

22
Citations

Frequent Co-Authors

Yung Yi Korea Advanced Institute of Science and Technology

Honglak Lee University of Michigan–Ann Arbor

Michael Chertkov University of Arizona

Devavrat Shah MIT

Sewoong Oh University of Washington

Pieter Abbeel University of California, Berkeley

Kihyuk Sohn Google (United States)

Prasad Tetali Carnegie Mellon University

Song Chong Korea Advanced Institute of Science and Technology

Sung-Ju Lee Korea Advanced Institute of Science and Technology

External Links

Personal website of Jinwoo Shin

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