Jin-Young Kim

Researcher, Twelvelabs

PhD student, Yonsei University

Joined

September 2018

Names

Jin-Young Kim (Preferred)

Jinyoung Kim

Emails

****@yonsei.ac.kr (Confirmed)

****@riiid.co (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Twelvelabs (twelvelabs.io)

2023 – Present

PhD student

Yonsei University (yonsei.ac.kr)

2018 – Present

Researcher

Riiid (riiid.co)

2022 – 2023

Undergrad student

Yonsei University (yonsei.ac.kr)

2014 – 2018

Advisors, Relations & Conflicts

Coauthor

Hyojun Go

2022 – Present

Expertise

video representation learning

2023 – Present

diffusion model

2022 – Present

contrastive learning

2019 – Present

Publications

Zero-to-Interaction: Generating Dynamic Videos from Synthetic State Transitions
Jiho Jang, Jin-Young Kim, Nojun Kwak, Kyungjune Baek
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
Jin-Young Kim, Hyojun Go, Soonwoo Kwon, Hyun-Gyoon Kim
- ICLR 2025 Poster
- Readers: Everyone
Denoising Task Routing for Diffusion Models
Byeongjun Park, Sangmin Woo, Hyojun Go, Jin-Young Kim, Changick Kim
- ICLR 2024 poster
- Readers: Everyone
Addressing Negative Transfer in Diffusion Models
Hyojun Go, Jinyoung Kim, Yunsung Lee, Seunghyun Lee, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi
- NeurIPS 2023 poster
- Readers: Everyone
Predicting Residential Energy Consumption by Explainable Deep Learning with Long-Term and Short-Term Latent Variables
Jin-Young Kim, Sung-Bae Cho
- Published: 01 Jan 2023, Last Modified: 15 May 2023
- Cybern. Syst. 2023
- Readers: Everyone
Towards Practical Plug-and-Play Diffusion Models
Hyojun Go, Yunsung Lee, Jin-Young Kim, Seunghyun Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi
- 2022 (modified: 02 Feb 2023)
- CoRR 2022
- Readers: Everyone
Obfuscated Malware Detection Using Deep Generative Model based on Global/Local Features
Jin-Young Kim, Sung-Bae Cho
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- Comput. Secur. 2022
- Readers: Everyone
A deep neural network ensemble of multimodal signals for classifying excavator operations
Jin-Young Kim, Sung-Bae Cho
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- Neurocomputing 2022
- Readers: Everyone
An information theoretic approach to reducing algorithmic bias for machine learning
Jin-Young Kim, Sung-Bae Cho
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- Neurocomputing 2022
- Readers: Everyone
Explainable prediction of electric energy demand using a deep autoencoder with interpretable latent space
Jin-Young Kim, Sung-Bae Cho
- Published: 01 Jan 2021, Last Modified: 15 May 2023
- Expert Syst. Appl. 2021
- Readers: Everyone

View all 26 publications