Method of Profile Storage for Improving Recommendation Accuracy on Ubiquitous Computing. - Changbok Jang; Jeongseok Kim; Hyokyung Chang; Eui-In Choi; Bong-hoi Kim; Gang-Soo Lee (FGCN (2), 2008)

A Novel Weight for Recommendation: Item Quality. - Sunghoon Cho; Moo-hun Lee; Jeongseok Kim; Bong-hoi Kim; Eui-In Choi (ICCSA Workshops, 2008)

U-learning System Design for Adaptability of Learning Contents. - Jeongseok Kim; Junghee Cho; Eui-In Choi (CSREA EE, 2009)

Monitoring-Control System Using Multi-modal Interaction Agent in Ubiquitous Environment. - Sungdo Park; Jeongseok Kim; Hyokyung Chang; Bokman Jang; Eui-In Choi (FGIT-FGCN, 2009)

A 1280×960 Dynamic Vision Sensor with a 4.95-μm Pixel Pitch and Motion Artifact Minimization. - Yunjae Suh; Seungnam Choi; Masamichi Ito; Jeongseok Kim; Youngho Lee; Jongseok Seo; Heejae Jung; Dong-Hee Yeo; Seol Namgung; Jongwoo Bong; Sehoon Yoo; Seung-Hun Shin; et al. (ISCAS, 2020)

Automatic Modulation Classification for Aggregated PDSCH in 5G New Radio. - Jeongseok Kim; Byeong-Gwon Kang; Taehyoung Kim (ICTC, 2022)

Estimation of respiratory rate in various environments using microphones embedded in face masks. - Chhayly Lim; Jungyeon Kim; Jeongseok Kim; Byeong-Gwon Kang; Yunyoung Nam (J. Supercomput., 2022)

We, Vertiport 6, are temporarily closed: Interactional Ontological Methods for Changing the Destination. - Seungwan Woo; Jeongseok Kim; Kangjin Kim (RobOntics@RO-MAN, 2023)

Dialogue Possibilities between a Human Supervisor and UAM Air Traffic Management: Route Alteration. - Jeongseok Kim; Kangjin Kim (Adv. Artif. Intell. Mach. Learn., 2023)

Agent 3, change your route: possible conversation between a human manager and UAM Air Traffic Management (UATM). - Jeongseok Kim; Kangjin Kim (CoRR, 2023)

An Image Turing Test on Realistic Gastroscopy Images Generated by Using the Progressive Growing of Generative Adversarial Networks. - Keewon Shin; Jung Su Lee; Ji Young Lee; Hyunsu Lee; Jeongseok Kim; Jeong-Sik Byeon; Hwoon-Yong Jung; Do Hoon Kim; Namkug Kim (J. Digit. Imaging, 2023)

QuantuneV2: Compiler-based local metric-driven mixed precision quantization for practical embedded AI applications. - Jeongseok Kim; Jemin Lee; Yongin Kwon; Daeyoung Kim 001 (Future Gener. Comput. Syst., 2025)

QuantuneV2: Compiler-Based Local Metric-Driven Mixed Precision Quantization for Practical Embedded AI Applications. - Jeongseok Kim; Jemin Lee; Yongin Kwon; Daeyoung Kim (CoRR, 2025)