Jaeho Kim 김재호

Bio

Hello! I'm Jaeho Kim, a Postdoc at Korea University where I am currently working with Prof. Changhee Lee. I recevied my Ph.D at Ulsan National Institute of Science and Technology (UNIST), South Korea, under the guidance of Prof. Seulki Lee. 

My research focuses on time series learning, specifically developing time series foundation models capable of generating synthetic and human prompt-guided time series data. This work aims to significantly reduce the computational and data costs associated with building robust time series models, making advanced temporal analysis more accessible across various domains.

I am also actively engaged in academic service, contributing to efforts that enhance the peer review experience at leading AI conferences. Our work was recognized with the ICML 2025 Outstanding Position Paper Award, and I am currently working to implement our proposals in real-world academic practices.

Honors and Awards

• ICML 2025 Outstanding Position Paper Award, 2025

• K-DS Conference Creative Researcher Award, 2024

• Best Poster Presentation Award, UNIST AIGS, 2024

• IVI Edge Device Research Proposal Competition, 3rd Place, Hyundai Mobis, 2024

• SMILES Molecular Image Conversion Competition, 3rd Place, LG AI Research, 2020

Open to Collaboration

I understand that finding a motivated and capable Ph.D. graduate for a post-doctoral position can be as challenging as it is for candidates to find the right advisor. With this in mind, I'd like to introduce myself as a potential collaborator and future post-doctoral researcher.

Current Status and Timeline

• I am working as a Postdoc researcher at Korea University with Prof. Changhee Lee from Aug 2025 - August 2026

• Due to mandatory military service in South Korea, I will be available for international positions starting in August 2026.

Research Focus and Expertise

My doctoral research has primarily centered on time series projects, with an experience with explainable AI (XAI), dataset collection, self-supervised learning, domain adaptation. Currently, I am engaged in three additional projects:

• Tokenization strategies for Time Series Foundation Models (TSFMs)

• Language and time series paired data collection.

• Enhancing the quality of AI conference peer reviews

All of these projects are expected to result in research papers.

Collaboration Opportunities

I am open to research collaborations that could be mutually beneficial.

Personal Background

• MBTI: ENFJ - Outgoing and organized

• Languages: Korean (native),  English (native), Chinese (basic), Japanese (learning)

• Interests: Cross-fit (2 years), boxing (2 year), swimming, travel, socializing, I especially love diving into waters.

• International Experience: 

  • Indonesia (2 years), Vietnam (2 years), Malaysia (3 years)

  • Here is the list of countries that I've traveled before! More to come :) 

  • Canada, Japan, Singapore, China, Cambodia, Vietnam, Malaysia, Indonesia, Taiwan, Mongolia, Australia, Croatia, Slovenia, Bosnia, Spain, USA 

News

💊 Aug 2025: " Smart ECU: Scalable On-Vehicle Deployment of Drivetrain Fault Classification Systems for Commercial Electric Vehicles" is accepted to CIKM 2025.

💊 July 2025: "Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards" received the Outstanding Position Paper Award at ICML 2025

💊 May 2025: Our paper, "Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards",  is accepted to ICML 2025 (Oral; top 3%).  I will be presenting both works in Canada!

💊 May 2025: Our paper, "TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation",  is accepted to ICML 2025.

💊 Jan 2025: Our paper, "PPT: Patch Order Do Matters in Time Series Pretext Task",  is accepted to ICLR 2025. I will be presenting my work in Singapore!

💊 December 2024: Two patents related to time series have been registered with the Korean Intellectual Property Office.

💊 September 2024: Our paper, "CAFO: Feature-Centric Explanation on Time Series Classification", was awarded the best poster presentation in the UNIST AI Tech Workshop 2024. 

💊 June 2024: Our paper, "Unpacking Instagram Use: The Impact of Upward Social Comparisons on Usage Patterns and Affective Experiences in the Wild",  is accepted to International Journal of Human-Computer Studies (IJHCS) Journal.

💊 June 2024: I presented "Tackling Real-World Challenges in Deep Multivariate Time Series Learning" at the A*STAR Institute, Singapore.

💊 May 2024: Our paper, "CAFO: Feature-Centric Explanation on Time Series Classification",  is accepted to KDD 2024.

💊 Apr 2023: Our paper, "Multitask Deep Learning for Human Activity, Speed, and Body Weight Estimation using Commercial Smart Insoles",  is accepted to the IEEE Internet of Things Journal.