Huiwon Jang
Graduate student at KAIST
KAIST AI
huiwoen0516 [AT] kaist.ac.kr
About
I am a PhD student at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Jinwoo Shin. Prior to this, I received B.S. in Mathematical Science and Computer Science at KAIST in 2023. My recent research interests focus on representation learning, e.g., self-supervised learning and the representation for video generation.
Publications
Adversarial Robustification via Text-to-Image Diffusion Models
Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin
European Conference on Computer Vision (ECCV), 2024
Visual Representation Learning with Stochastic Frame Prediction
Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
International Conference on Machine Learning (ICML), 2024
Modality-agnostic Self-supervised Learning with Meta-learned Masked Auto-encoder
Huiwon Jang*, Jihoon Tack*, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2023
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang*, Hankook Lee*, Jinwoo Shin
International Conference on Learning Representations (ICLR), 2023, Spotlight Presentation (280/4956=5.6%)
Neural Information Processing Systems Workshop on Meta-Learning (NeurIPSW-MetaLearn), 2022
Adversarial Robustification via Text-to-Image Diffusion Models
Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin
European Conference on Computer Vision (ECCV), 2024
Visual Representation Learning with Stochastic Frame Prediction
Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
International Conference on Machine Learning (ICML), 2024
Modality-agnostic Self-supervised Learning with Meta-learned Masked Auto-encoder
Huiwon Jang*, Jihoon Tack*, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2023
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang*, Hankook Lee*, Jinwoo Shin
International Conference on Learning Representations (ICLR), 2023, Spotlight Presentation (280/4956=5.6%)
Neural Information Processing Systems Workshop on Meta-Learning (NeurIPSW-MetaLearn), 2022
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection
Yeongmin Kim*, Huiwon Jang*, Dongkeon Lee, Hojin Choi
Arxiv preprint, 2022
Education
Korea Advanced Institute of Science and Technology (KAIST)Mar. 2023 - Present
PhD. Student in Artificial Intelligence
Korea Advanced Institute of Science and Technology (KAIST)Mar. 2019 - Feb. 2023
B.S. in Mathematical Science and Computer Science
Experience
AI Research InternOct. 2022 - Oct. 2023
i-SENSAcademic Services
Conference Reviewer, IJCAI 2023; NeurIPS 2024
Journal Reviewer, IJCV
Honors & Awards
Travel Award, International Conference on Machine Learning (ICML) 2024Jul. 2024
Travel Award, Conference on Neural Information Processing Systems (NeurIPS) 2023 Dec. 2023
Travel Award, International Conference on Learning Representations (ICLR) 2023 May. 2023
Recipient, Google Conference Scholarships (APAC)May. 2023
Invited Talks
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
Samsung AI Forum (SAIF) 2023Nov. 2023
Samsung Advanced Institue of Technology (SAIT)Jun. 2023
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
International Conference on Learning Representations (ICLR)May. 2023