HybGrasp: A Hybrid Learning-to-Adapt Architecture for Efficient Robot Grasping. - Mun, Jungwook; Giang, Khang Truong; Lee, Yunghee; Oh, Nayoung; Huh, Sejoon; Kim, Min; Jo, Sungho (IEEE Robotics Autom. Lett., 2023)

Maximization and restoration: Action segmentation through dilation passing and temporal reconstruction. - Park, Junyong; Kim, Daekyum; Huh, Sejoon; Jo, Sungho (Pattern Recognit., 2022)

Improved Explanatory Efficacy on Human Affect and Workload Through Interactive Process in Artificial Intelligence. - Kim, Byung Hyung; Koh, Seunghun; Huh, Sejoon; Jo, Sungho; Choi, Sunghee (IEEE Access, 2020)

Improving performance in motor imagery BCI-based control applications via virtually embodied feedback. - Choi, Jin Woo; Huh, Sejoon; Jo, Sungho (Comput. Biol. Medicine, 2020)

Improved explanatory efficacy on human affect and workload through interactive process in artificial intelligence. - Kim, Byung Hyung; Koh, Seunghun; Huh, Sejoon; Jo, Sungho (CoRR, 2019)

An EOG/EEG-Based Hybrid Brain-Computer Interface for Chess. - Choi, Jin Woo; Rho, Eojin; Huh, Sejoon; Jo, Sungho (2018)