Hello! I earned a Ph.D. in Computer Science from Korea University, where I was a member of the Data Mining and Information Systems (DMIS) Lab advised by Prof. Jaewoo Kang (and co-advised by Prof. Hyunwoo J. Kim for one year). During my PhD course, I completed the Intensive Artificial Intelligence Program at Carnegie Mellon University and spent time as a visiting student under the supervision of Prof. Leman Akoglu. I worked as an AI research intern at LG AI Research for nine months (hosted by Soonyoung Lee, Ph.D.), and at KakaoBrain for six months (hosted by Eun-Sol Kim, Ph.D.). Prior to my PhD studies, I earned a Bachelor's degree in Biomedical Engineering from Korea University.
My research area encompasses the broad field of machine learning, with a focus on representation learning for graph-structured data. I am also interested in applying machine learning techniques to diverse domains, including computer vision and bioinformatics.
[ dʒun.hjʌn liː ]
VP of AI at Noah's Farm
Selected Publications
(*Equal contribution, †Corresponding author)-
[Under Review] Adaptive Candidate Retrieval with Dynamic Knowledge Graph Construction for Cold-Start Recommendation
Wooseong Yang, Weizhi Zhang, Yuqing Liu, Yuwei Han, Yu Wang, Junhyun Lee†, Philip S. Yu†
-
[Under Review] Beyond Association: A Causal Perspective on Multi-Resolution Aggregation in Multiple-Instance Learning for Whole Slide Image Analysis
Junhyun Lee, Soonyoung Lee, Jongseong Jang†
-
[Under Review] Mitigating Multi-Resolution Dilemma of Whole Slide Images via Spectral Approaches
Junhyun Lee, Jongseong Jang, Soonyoung Lee, Bumsoo Kim†
-
[NeurIPS 2026] XBridge: Entity-Grounded Latent Bridge for Heterogeneous LLM Communication
Wooseong Yang, Wei-Chieh Huang, Weizhi Zhang, Yu Wang, Philip S. Yu† , Junhyun Lee†
-
[NeurIPS 2026] ASQ: Agent-guided Semantic-aware Quantization for Large Language Models
Seungdong Yoa, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon, Dongmin Kim, Soonyoung Lee, Junhyun Lee†, Bumsoo Kim†
-
[EMNLP 2026 Findings] Enhancing Low-Resource Language Reasoning via High-Resource Language Feature Transfer
Minju Song, Hyeon Hwang, Junhyun Lee†, Jaewoo Kang†
-
[ICML 2026] Efficient Multi-Agent Reasoning via Confidence-Guided Adaptive Debate
Seungdong Yoa, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon, Dongmin Kim, Soonyoung Lee, Bumsoo Kim† , Junhyun Lee†
-
[Information Sciences 2026] Subgraph-level Universal Prompt Tuning
Junhyun Lee, Wooseong Yang, Jaewoo Kang†
-
Seungdong Yoa, Sanghyu Yoon, Suhee Yoon, Dongmin Kim, Ye Seul Sim, Junhyun Lee†, Woohyung Lim†
-
[KDD 2025] Understanding and Tackling Over-Dilution in Graph Neural Networks
Junhyun Lee, Veronika Thost, Bumsoo Kim, Jaewoo Kang†, Tengfei Ma†
-
Seungheun Baek*, Soyon Park*, Yan Ting Chok, Junhyun Lee, Jueon Park, Mogan Gim†, Jaewoo Kang†
-
[NeurIPS 2024] TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
Kiwoong Yoo, Owen Oertell, Junhyun Lee, Sanghoon Lee, Jaewoo Kang†
-
[Bioinformatics / ISMB 2024] MolPLA: A Molecular Pretraining Framework for Learning Cores, R-Groups and their Linker Joints
Mogan Gim*, Jueon Park*, Soyon Park, Sanghoon Lee, Seungheun Baek, Junhyun Lee, Ngoc-Quang Nguyen, Jaewoo Kang†
-
[IEEE Access 2023] Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning
Junhyun Lee*, Bumsoo Kim*, Minji Jeon†, Jaewoo Kang†
-
[ECAI 2023] Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via Rank Regression
Hyunjun Lee*, Junhyun Lee*, Taehwa Choi, Jaewoo Kang†, Sangbum Choi†
-
[CVPR 2022] MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection
Bumsoo Kim, Jonghwan Mun, Kyoung-Woon On, Minchul Shin, Junhyun Lee, Eun-Sol Kim†
-
[NeurIPS 2021] Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction (Cited by over 200)
Seongjun Yun, Seoyoon Kim, Junhyun Lee, Jaewoo Kang†, Hyunwoo J. Kim†
-
[CVPR 2021 (Oral)] HOTR: End-to-End Human-Object Interaction Detection with Transformers (Cited by over 400)
Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Hyunwoo J Kim†, Eun-sol Kim†
-
[ACS Appl. Mater. Interfaces 2020] 3D Printed, Customizable, and Multifunctional Smart Electronic Eyeglasses for Wearable Healthcare Systems and Human–Machine Interfaces
Joong Hoon Lee, Hanseop Kim, Ji-Young Hwang, Jinmook Chung, Tae-Min Jang, Dong Gyu Seo, Yuyan Gao, Junhyun Lee, Haedong Park, Seungwoo Lee, Hong Chul Moon, Huanyu Cheng, Sang-Hoon Lee, Suk-Won Hwang†
-
[ECCV 2020 Workshop] Robust Long-Term Object Tracking via Improved Discriminative Model Prediction
Seokeon Choi, Junhyun Lee, Yunsung Lee, Alexander Hauptmann†
-
[ICML 2019] Self-Attention Graph Pooling (Cited by over 1,800)
Junhyun Lee*, Inyeop Lee*, Jaewoo Kang†