Juntae (Jun-Tae) Lee (이준태) 

Research Interest

Research Area: Machine Learning, Large Language Models, Computer Vision, Image Processing

Current Research Topics (in industrial area): 

• Large language models for edge devices

• Personalization, Agentic AI

Previous Research Topics

• Action recognition: few-shot, multi-modality (audio-visual), class-incremental learning 

• Few-shot learning

• Transfer learning 

• Personalized deep networks

• Personalized Image Aesthetics Estimation

• Semantic Line Detection 

• Photographic Composition Classification

Education

• 2013 - 2019 Ph.D. Dept. of Electrical Engineering, Korea University (Advisor: Chang-Su Kim) 

• 2009 - 2013 B.S. Dept. of Electrical Engineering, Korea University 

Conference Publications

1. Juntae Lee, Jihwan Bang, Seunghan Yang, Simyung Chang, "CIFLEX: Contextual Instruction Flow for Sub-task Execution in Multi-Turn Interactions with a Single On-Device LLM," accepted at EMNLP 2025.

2. Seunghan Yang, Juntae Lee, Jihwan Bang, Kyuhong Shim, Minsoo Kim, Simyung Chang, "Learning Contextual Retrieval for Robust Conversational Search," accepted at EMNLP 2025 (Oral).

3. Juntae Lee, Munawar Hayat, Sungrack Yun, "Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning," in CPVR 2025.

4. Juntae Lee, Jihwan Bang, Seunghan Yang, Kyuhong Shim, Simyung Chang, "Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device," accepted at NA-ACL (short, findings) 2025.

5.  Jihwan Bang*, Juntae Lee*, Kyuhong Shim, Seunghan Yang, Simyung Chang, "Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference" in Proc. ACL (main) 2024. *: equal contribution

6. Jun-Tae Lee, Mihir Jain, Sungrack Yun, "Few-shot common action localization via cross-attentional fusion of context and temporal dynamics," in Proc.  IEEE ICCV 2023.

7. Jun-Tae Lee and Sungrack Yun, "Multi-scale temporal feature fusion for few-shot action recognition," in Proc. IEEE ICIP 2023.

8. Byeonggeun Kim*, Jun-Tae Lee*, Kyuhong Shim, Simyung Chang, "Task-agnostic open-set prototype for few-shot open-set recognition," in Proc. IEEE ICIP 2023. *: equal contribution

9. Byeonggeun Kim, Jun-Tae Lee*, Seunghan Yang, Simyung Chang, "Scalable Weight Reparametrization for Efficient Transfer Learning," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 (Oral session) *:equal contribution 

10. Jangho Kim*, Jun-Tae Lee*, Simyung Chang, "Variational On-the-Fly Personalization," in International Conference on Machine Learning (ICML), 2022 (Spotlight session) *: equal contribution

11. Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang, "Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification," in Proc. INTERSPEECH, 2022.

12. Jun-Tae Lee, Hyunsin Park, Sungrack Yun, Simyung Chang, "Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Network," in Proc. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022 

13. Jun-Tae Lee, Mihir Jain, Sungrack Yun, "Leaky Gated Cross-Attention for Weakly Supervised Multi-Modal Temporal Action Localization," in Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 

14. Hanul Kim, Mihir Jain, Jun-Tae Lee, Sungrack Yun, Faith Porikli, "Efficient Action Recognition via Dynamic Knowledge Propagation," in Proc.  IEEE International Conference on Computer Vision (ICCV), 2021

15. Jun-Tae Lee, Mihir Jain, Hyoungwoo Park, Sungrack Yun, "Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization," in Proc. 9th International Conference on Learning Representation (ICLR), 2021

16. Dongkwon Jin, Jun-Tae Lee, and Chang-Su Kim, "Semantic line detection using mirror attention and comparative ranking and matching," in Proc. 16th European Conference on Computer Vision (ECCV), 2020

17. Jun-Tae Lee, and Chang-Su Kim, “Image Aesthetic Assessment Based on Pairwise Comparison – A Unified Approach to Score Regression, Binary Classification, and Personalization,” in Proc. IEEE International Conference on Computer Vision (ICCV), 2019

18. Jun-Tae Lee, Han-Ul Kim, Chul Lee, and Chang-Su Kim, “Semantic line detection and its applications,” in Proc. IEEE International Conference on Computer Vision (ICCV), 2017.

19. Keunsoo Ko, Jun-Tae Lee, and Chang-Su Kim, “PAC-Net: Pairwise aesthetic comparison network for image aesthetic assessment,” in Proc. IEEE International Conference on Image Processing (ICIP), Athens, Greece, Oct. 2018.

20. Jun-Tae Lee, Chulwoo Lee, Jae-Young Sim, and Chang-Su Kim, “Depth-guided adaptive contrast enhancement using 2D histograms,” in Proc. IEEE International Conference on Image Processing (ICIP), Paris, France, Oct. 2014.

21. Jun-Tae Lee, Kyung-Rae Kim, Won-Dong Jang, and Chang-Su Kim, “Near-duplicate video clustering using multiple complementary video signatures,” in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Hong-Kong, Dec. 2015.

22. Jun-Tae Lee, Jae-Kyun Ahn, Chang-Su Kim, “Stitching of heterogeneous images using depth information,” in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Kaohsiung, Taiwan, Nov. 2013.

Journal Publications

1. Jun-Tae Lee, Han-Ul Kim, Chul Lee, and Chang-Su Kim, “Photographic composition classification and dominant geometric element detection for outdoor scenes,” Journal of Visual Communication and Image Representation, vol. 55, no. 1, pp. 91–105, Aug. 2018.

2.  Jun-Tae Lee, Chul Lee, and Chang-Su Kim, “Property-Specific Aesthetic Assessment With Unsupervised Aesthetic Property Discovery,” IEEE ACCESS, vol. 7, no. 1, pp. 114349–114362, Aug. 2019.