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ORCIDMinsu Lee 0001
Person information
- affiliation: Sungshin Women's University, School of AI Convergence, Seoul, Korea
- affiliation: Seoul National University, AI Institute (AIIS), Institute of Computer Technology, Korea
Other persons with the same name
- Minsu Lee (aka: Min-Su Lee, Min Su Lee) — disambiguation page
- Minsu Lee 0002
![[0000-0001-7552-611X]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0001-7552-611X")
— Korea Advanced Institute of Science and Technology (KAIST), Department of Electrical Engineering, Daejeon, Korea - Minsu Lee 0003 — Korea Advanced Institute of Science and Technology (KAIST), Cyber Security Research Center, Korea
- Minsu Lee 0004 (aka: Min Su Lee 0004) — Ewha Womans University, Department of Computer Science and Engineering, Korea
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2020 – today
- 2026
[j10]Min Whoo Lee, Yunsu Lee, Kibeom Kim, Soo Wung Shin, Jun Ki Lee, Minsu Lee, Byoung-Tak Zhang:
Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning. IEEE Access 14: 19363-19373 (2026)- [j9]Hyunseo Kim, Yeon-Ji Song, Minsu Lee, Byoung-Tak Zhang:
One-Shot 3-D Affordance Learning for Multi-Stage Robotic Manipulation. IEEE Access 14: 54571-54582 (2026) - [j8]Minji Kim, Ganghun Lee, Minsu Lee, Byoung-Tak Zhang:
Climb With SHERPA: Heuristic-Guided Reinforcement Learning via Segmented Experience Relay. IEEE Robotics Autom. Lett. 11(5): 5883-5890 (2026) - 2025
- [j7]Woo Suk Choi, Youwon Jang, Minsu Lee, Byoung-Tak Zhang:
INQUIRER: Harnessing internal knowledge graphs for video question generation. Knowl. Based Syst. 326: 114033 (2025) - [c12]Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang:
Truncated Gaussian Policy for Debiased Continuous Control. AAAI 2025: 18071-18081 - [c11]Youwon Jang, Woo Suk Choi, Minjoon Jung, Minsu Lee, Byoung-Tak Zhang:
Confidence-guided Refinement Reasoning for Zero-shot Question Answering. EMNLP 2025: 6933-6950 - [i15]Min Whoo Lee, Kibeom Kim, Soo Wung Shin, Minsu Lee, Byoung-Tak Zhang:
Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning. CoRR abs/2501.01140 (2025) - [i14]Junseok Park, Hyeonseo Yang, Min Whoo Lee, Won-Seok Choi, Minsu Lee, Byoung-Tak Zhang:
From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning. CoRR abs/2501.17842 (2025) - [i13]Youwon Jang, Woo Suk Choi, Minjoon Jung, Minsu Lee, Byoung-Tak Zhang:
Confidence-guided Refinement Reasoning for Zero-shot Question Answering. CoRR abs/2509.20750 (2025) - [i12]Youwon Jang, Yu-Jung Heo, Jaeseok Kim, Minsu Lee, Du-Seong Chang, Byoung-Tak Zhang:
Instruction-tuned Self-Questioning Framework for Multimodal Reasoning. CoRR abs/2509.21251 (2025) - 2024
- [j6]Kibeom Kim, Moonhoen Lee, Min Whoo Lee, Kisung Shin, Minsu Lee, Byoung-Tak Zhang:
Visual Hindsight Self-Imitation Learning for Interactive Navigation. IEEE Access 12: 83796-83809 (2024) - [c10]Junseok Park, Yoonsung Kim, Hee Bin Yoo, Min Whoo Lee, Kibeom Kim, Won-Seok Choi, Minsu Lee, Byoung-Tak Zhang:
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. AAAI 2024: 592-600 - [c9]Minjung Shin, Seongho Choi, Yu-Jung Heo, Minsu Lee, Byoung-Tak Zhang, Jeh-Kwang Ryu:
CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding. CogSci 2024 - [i11]Junseok Park, Yoonsung Kim, Hee Bin Yoo, Min Whoo Lee, Kibeom Kim, Won-Seok Choi, Minsu Lee, Byoung-Tak Zhang:
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. CoRR abs/2403.06880 (2024) - 2023
- [j5]Minsu Lee, Yu-Jung Heo, Seongho Choi, Woo Suk Choi, Byoung-Tak Zhang:
Video Turing Test: A first step towards human-level AI. AI Mag. 44(4): 537-554 (2023) - [c8]Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang:
Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. ICCV 2023: 2394-2405 - [i10]Kibeom Kim, Hyundo Lee, Min Whoo Lee, Moonheon Lee, Minsu Lee, Byoung-Tak Zhang:
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning. CoRR abs/2305.13741 (2023) - [i9]Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang:
Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. CoRR abs/2311.02202 (2023) - [i8]Kibeom Kim, Kisung Shin, Min Whoo Lee, Moonhoen Lee, Minsu Lee, Byoung-Tak Zhang:
Visual Hindsight Self-Imitation Learning for Interactive Navigation. CoRR abs/2312.03446 (2023) - 2022
- [c7]Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang:
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent. ICRA 2022: 5553-5559 - [i7]Junseok Park, Kwanyoung Park, Hyunseok Oh, Ganghun Lee, Minsu Lee, Youngki Lee, Byoung-Tak Zhang:
Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents. CoRR abs/2201.04990 (2022) - [i6]Junseok Park, Inwoo Hwang, Min Whoo Lee, Hyunseok Oh, Minsu Lee, Youngki Lee, Byoung-Tak Zhang:
On the Importance of Critical Period in Multi-stage Reinforcement Learning. CoRR abs/2208.04832 (2022) - [i5]Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang:
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent. CoRR abs/2208.04833 (2022) - 2021
- [j4]Sangho Yeo, Sangyoon Oh, Minsu Lee:
Accelerated deep reinforcement learning with efficient demonstration utilization techniques. World Wide Web 24(4): 1275-1297 (2021) - [c6]Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Minsu Lee, Byoung-Tak Zhang:
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. AAAI 2021: 1166-1174 - [c5]Junseok Park, Kwanyoung Park, Hyunseok Oh, Ganghun Lee, Minsu Lee, Youngki Lee, Byoung-Tak Zhang:
Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents. ICMI 2021: 212-220 - [c4]Kibeom Kim, Min Whoo Lee, Yoonsung Kim, Je-Hwan Ryu, Minsu Lee, Byoung-Tak Zhang:
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning. NeurIPS 2021: 2783-2795 - [i4]Minjung Shin, Jeonghoon Kim, Seongho Choi, Yu-Jung Heo, Donghyun Kim, Minsu Lee, Byoung-Tak Zhang, Jeh-Kwang Ryu:
CogME: A Novel Evaluation Metric for Video Understanding Intelligence. CoRR abs/2107.09847 (2021) - [i3]Yu-Jung Heo, Minsu Lee, Seongho Choi, Woo Suk Choi, Minjung Shin, Minjoon Jung, Jeh-Kwang Ryu, Byoung-Tak Zhang:
Toward a Human-Level Video Understanding Intelligence. CoRR abs/2110.04203 (2021) - [i2]Kibeom Kim, Min Whoo Lee, Yoonsung Kim, Je-Hwan Ryu, Minsu Lee, Byoung-Tak Zhang:
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning. CoRR abs/2110.12985 (2021) - 2020
- [i1]Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Seungchan Lee, Minsu Lee, Byoung-Tak Zhang:
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. CoRR abs/2005.03356 (2020)
2010 – 2019
- 2019
- [c3]Sangho Yeo, Sangyoon Oh, Minsu Lee:
Accelerating Deep Reinforcement Learning Using Human Demonstration Data Based on Dual Replay Buffer Management and Online Frame Skipping. BigComp 2019: 1-8 - 2016
- [j3]Hyungro Lee, Minsu Lee, Wazim Mohammed Ismail, Mina Rho, Geoffrey C. Fox, Sangyoon Oh, Haixu Tang:
MGEScan: a Galaxy-based system for identifying retrotransposons in genomes. Bioinform. 32(16): 2502-2504 (2016) - 2014
- [j2]Min Su Lee, Sangyoon Oh:
Alternating decision tree algorithm for assessing protein interaction reliability. Vietnam. J. Comput. Sci. 1(3): 169-178 (2014) - 2011
- [j1]Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang:
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 8(2): 316-325 (2011)
2000 – 2009
- 2009
- [c2]Min Su Lee, Je-Keun Rhee, Byoung-Hee Kim, Byoung-Tak Zhang:
AESNB: Active Example Selection with Naive Bayes Classifier for Learning from Imbalanced Biomedical Data. BIBE 2009: 15-21 - [c1]Min Su Lee, Sangyoon Oh, Byoung-Tak Zhang:
Ensemble Learning Based on Active Example Selection for Solving Imbalanced Data Problem in Biomedical Data. BIBM 2009: 350-355
Coauthor Index
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