AESNB: Active Example Selection with Naive Bayes Classifier for Learning from Imbalanced Biomedical Data. - Min Su Lee 001; Je-Keun Rhee; Byoung-Hee Kim; Byoung-Tak Zhang (BIBE, 2009)

Ensemble Learning Based on Active Example Selection for Solving Imbalanced Data Problem in Biomedical Data. - Min Su Lee 001; Sangyoon Oh 001; Byoung-Tak Zhang (BIBM, 2009)

Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification. - Sangyoon Oh 001; Min Su Lee 001; Byoung-Tak Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Alternating decision tree algorithm for assessing protein interaction reliability. - Min Su Lee 001; Sangyoon Oh 001 (Vietnam. J. Comput. Sci., 2014)

MGEScan: a Galaxy-based system for identifying retrotransposons in genomes. - Hyungro Lee; Minsu Lee 001; Wazim Mohammed Ismail; Mina Rho; Geoffrey C. Fox; Sangyoon Oh 001; Haixu Tang (Bioinform., 2016)

Accelerating Deep Reinforcement Learning Using Human Demonstration Data Based on Dual Replay Buffer Management and Online Frame Skipping. - Sangho Yeo; Sangyoon Oh 001; Minsu Lee 001 (BigComp, 2019)

DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. - Seongho Choi 001; Kyoung-Woon On; Yu-Jung Heo; Ahjeong Seo; Youwon Jang; Seungchan Lee; Minsu Lee 001; Byoung-Tak Zhang (CoRR, 2020)

DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. - Seongho Choi 001; Kyoung-Woon On; Yu-Jung Heo; Ahjeong Seo; Youwon Jang; Minsu Lee 001; Byoung-Tak Zhang (AAAI, 2021)

Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents. - Junseok Park; Kwanyoung Park; Hyunseok Oh; Ganghun Lee; Minsu Lee 001; Youngki Lee 001; Byoung-Tak Zhang (ICMI, 2021)

Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning. - Kibeom Kim; Min Whoo Lee; Yoonsung Kim; Je-Hwan Ryu; Minsu Lee 001; Byoung-Tak Zhang (NeurIPS, 2021)

CogME: A Novel Evaluation Metric for Video Understanding Intelligence. - Minjung Shin; Jeonghoon Kim; Seongho Choi 001; Yu-Jung Heo; Donghyun Kim; Minsu Lee 001; Byoung-Tak Zhang; Jeh-Kwang Ryu (CoRR, 2021)

Toward a Human-Level Video Understanding Intelligence. - Yu-Jung Heo; Minsu Lee 001; Seongho Choi 001; Woo Suk Choi; Minjung Shin; Minjoon Jung; Jeh-Kwang Ryu; Byoung-Tak Zhang (CoRR, 2021)

Accelerated deep reinforcement learning with efficient demonstration utilization techniques. - Sangho Yeo; Sangyoon Oh 001; Minsu Lee 001 (World Wide Web, 2021)

From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent. - Ganghun Lee; Minji Kim 005; Minsu Lee 001; Byoung-Tak Zhang (ICRA, 2022)

On the Importance of Critical Period in Multi-stage Reinforcement Learning. - Junseok Park; Inwoo Hwang; Min Whoo Lee; Hyunseok Oh; Minsu Lee 001; Youngki Lee 001; Byoung-Tak Zhang (CoRR, 2022)

Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. - Ganghun Lee; Minji Kim 005; Yunsu Lee; Minsu Lee 001; Byoung-Tak Zhang (ICCV, 2023)

L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning. - Kibeom Kim; Hyundo Lee; Min Whoo Lee; Moonheon Lee; Minsu Lee 001; Byoung-Tak Zhang (CoRR, 2023)

Video Turing Test: A first step towards human-level AI. - Minsu Lee 001; Yu-Jung Heo; Seongho Choi 001; Woo Suk Choi; Byoung-Tak Zhang (AI Mag., 2023)

Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. - Junseok Park; Yoonsung Kim; Hee Bin Yoo; Min Whoo Lee; Kibeom Kim; Won-Seok Choi 006; Minsu Lee 001; Byoung-Tak Zhang (AAAI, 2024)

CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding. - Minjung Shin; Seongho Choi 001; Yu-Jung Heo; Minsu Lee 001; Byoung-Tak Zhang; Jeh-Kwang Ryu (CogSci, 2024)

Visual Hindsight Self-Imitation Learning for Interactive Navigation. - Kibeom Kim; Moonhoen Lee; Min Whoo Lee; Kisung Shin; Minsu Lee 001; Byoung-Tak Zhang (IEEE Access, 2024)

Truncated Gaussian Policy for Debiased Continuous Control. - Ganghun Lee; Minji Kim 005; Minsu Lee 001; Byoung-Tak Zhang (AAAI, 2025)

Confidence-guided Refinement Reasoning for Zero-shot Question Answering. - Youwon Jang; Woo Suk Choi; Minjoon Jung; Minsu Lee 001; Byoung-Tak Zhang (EMNLP, 2025)

INQUIRER: Harnessing internal knowledge graphs for video question generation. - Woo Suk Choi; Youwon Jang; Minsu Lee 001; Byoung-Tak Zhang (Knowl. Based Syst., 2025)

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning. - Min Whoo Lee; Kibeom Kim; Soo Wung Shin; Minsu Lee 001; Byoung-Tak Zhang (CoRR, 2025)

Instruction-tuned Self-Questioning Framework for Multimodal Reasoning. - Youwon Jang; Yu-Jung Heo; Jaeseok Kim; Minsu Lee 001; Du-Seong Chang; Byoung-Tak Zhang (CoRR, 2025)

Hybrid State Representation for Video Procedure Planning. - Woo Suk Choi; Youwon Jang; Minsu Lee 001; Byoung-Tak Zhang (WACV, 2026)

One-Shot 3-D Affordance Learning for Multi-Stage Robotic Manipulation. - Hyunseo Kim 001; Yeon-Ji Song; Minsu Lee 001; Byoung-Tak Zhang (IEEE Access, 2026)

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning. - Min Whoo Lee; Yunsu Lee; Kibeom Kim; Soo Wung Shin; Jun Ki Lee; Minsu Lee 001; Byoung-Tak Zhang (IEEE Access, 2026)

CraftGround: A High-Performance Reinforcement Learning Environment Based on Minecraft. - Hyeonseo Yang; Minsu Lee 001; Byoung-Tak Zhang (IEEE Access, 2026)

Climb With SHERPA: Heuristic-Guided Reinforcement Learning via Segmented Experience Relay. - Minji Kim 005; Ganghun Lee; Minsu Lee 001; Byoung-Tak Zhang (IEEE Robotics Autom. Lett., 2026)

From Sparse to Dense: Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. - Junseok Park; Hyeonseo Yang; Min Whoo Lee; Won-Seok Choi 006; Minsu Lee 001; Byoung-Tak Zhang (IEEE Trans. Cogn. Dev. Syst., 2026)