Towards Building Pedagogical Agents based on Experiments - A Preliminary Result. - Hanju Lee; Kazuo Hiraki (CSEDU (1), 2012)

Social Appearance of Virtual Agent and Temporal Contingency Effect. - Hanju Lee; Yasuhiro Kanakogi; Kazuo Hiraki (HAI, 2015)

Detecting defects in sub-skin-depth metallic layers by a thermo-elastic sensor. - Shant Arakelyan; Hanju Lee; Kiejin Lee; Arsen Babajanyan; Barry Friedman (IEEE SENSORS, 2017)

The landscape of smart aging: Topics, applications, and agenda. - Il-Yeol Song; Min Song 001; Tatsawan Timakum; Su-Ryeon Ryu; Hanju Lee (Data Knowl. Eng., 2018)

Contrastive Relevance Propagation for Interpreting Predictions by a Single-Shot Object Detector. - Hideomi Tsunakawa; Yoshitaka Kameya; Hanju Lee; Yosuke Shinya; Naoki Mitsumoto (IJCNN, 2019)

Electrical Defect Imaging of ITO Coated Glass by Optical Microscope With Microwave Heating. - Hanju Lee; Zhirayr Baghdasaryan; Barry Friedman; Kiejin Lee (IEEE Access, 2019)

Detection of a Conductive Object Embedded in an Optically Opaque Dielectric Medium by the Thermo-Elastic Optical Indicator Microscopy. - Hanju Lee; Zhirayr Baghdasaryan; Barry Friedman; Kiejin Lee (IEEE Access, 2019)

$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception. - Dhaivat Bhatt; Kaustubh Mani; Dishank Bansal; Krishna Murthy Jatavallabhula; Hanju Lee; Liam Paull (CoRR, 2021)

f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression. - Dhaivat Bhatt; Kaustubh Mani; Dishank Bansal; Krishna Murthy Jatavallabhula; Hanju Lee; Liam Paull (ICRA, 2022)

Detection of Air Bubbles and Liquid Droplet in a Dielectric Tube by Thermo-Elastic Optical Indicator Microscopy. - Hanju Lee (IEEE Access, 2022)

Detection of Defects in a Dielectric Material by Thermo-Elastic Optical Indicator Microscopy. - Shewangzaw Hamelo; Jihye Yang; Hanju Lee (IEEE Access, 2023)

Simultaneous Imaging of Static and Microwave Magnetic Field Distributions by Magneto Optical Indicator Microscopy. - Jihye Yang; Hanju Lee (IEEE Access, 2024)

Distributionally Robust Safe Screening. - Hiroyuki Hanada; Satoshi Akahane; Tatsuya Aoyama; Tomonari Tanaka; Yoshito Okura; Yu Inatsu; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (CoRR, 2024)

Distributionally Robust Safe Sample Screening. - Hiroyuki Hanada; Tatsuya Aoyama; Satoshi Akahane; Tomonari Tanaka; Yoshito Okura; Yu Inatsu; Noriaki Hashimoto; Shion Takeno; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (CoRR, 2024)

Distributionally Robust Coreset Selection under Covariate Shift. - Tomonari Tanaka; Hiroyuki Hanada; Hanting Yang; Tatsuya Aoyama; Yu Inatsu; Satoshi Akahane; Yoshito Okura; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (Trans. Mach. Learn. Res., 2025)

Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation. - Tatsuya Aoyama; Hanting Yang; Hiroyuki Hanada; Satoshi Akahane; Tomonari Tanaka; Yoshito Okura; Yu Inatsu; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (CoRR, 2025)

Distributionally Robust Active Learning for Gaussian Process Regression. - Shion Takeno; Yoshito Okura; Yu Inatsu; Tatsuya Aoyama; Tomonari Tanaka; Satoshi Akahane; Hiroyuki Hanada; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (CoRR, 2025)