A Protein Interaction Verification System Based on a Neural Network Algorithm. - Min Su Lee; Seung-Soo Park; Min Kyung Kim 002 (CSB Workshops, 2005)

Comparative Analysis of Classification Methods for Protein Interaction Verification System. - Min Su Lee; Seung-Soo Park (ADVIS, 2006)

AESNB: Active Example Selection with Naive Bayes Classifier for Learning from Imbalanced Biomedical Data. - Min Su Lee; 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; 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; Byoung-Tak Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Human-centered evaluation of multi-user teleoperation for mobile manipulator in unmanned offshore plants. - Dong Gun Lee; Gun Rae Cho; Min Su Lee; Byung-Su Kim; Sehoon Oh; Hyoung Il Son (IROS, 2013)

Advanced Heuristic Drift Elimination for indoor pedestrian navigation. - Ho Jin Ju; Min Su Lee; Chan Gook Park; Soyeon Lee; Sangjoon Park (IPIN, 2014)

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

Kinematic Model-Based Pedestrian Dead Reckoning for Heading Correction and Lower Body Motion Tracking. - Min Su Lee; Ho Jin Ju; Jin Woo Song; Chan Gook Park (Sensors, 2015)

MGEScan: a Galaxy-based system for identifying retrotransposons in genomes. - Hyungro Lee; Min Su Lee; 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; Min Su Lee (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; Min Su Lee; 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; Min Su Lee; Byoung-Tak Zhang (AAAI, 2021)

Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents. - Junseok Park; Kwanyoung Park; Hyunseok Oh; Ganghun Lee; Min Su Lee; 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; Min Su Lee; 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; Min Su Lee; Byoung-Tak Zhang; Jeh-Kwang Ryu (CoRR, 2021)

Toward a Human-Level Video Understanding Intelligence. - Yu-Jung Heo; Min Su Lee; 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; Min Su Lee (World Wide Web, 2021)

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

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

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