Taehyun Daniel Kim (김태현)
❒ M.S. in Computer Science, Yonsei Univ.
❒ ex-CSO & CRO at Pozalabs Co., Ltd.
✉ kimth0101@yonsei.ac.kr
❒ M.S. in Computer Science, Yonsei Univ.
❒ ex-CSO & CRO at Pozalabs Co., Ltd.
✉ kimth0101@yonsei.ac.kr
Feb. 2023: M.S. in Computer Science, Yonsei University
Adviser: Seon Joo Kim
Thesis: Combinatorial Music Generation using Deep Learning
Feb. 2019: B.S. in Computer Science (Double major: Psychology), Yonsei University
Sep. 2023 - Jun. 2025: CEO at Pozalabs America Inc.
Apr. 2023 - Jun. 2025: Executive Vice President (Deputy CEO) at Pozalabs Co., Ltd.
Feb. 2022 - Jun. 2025: Chief Strategy Officer (CSO) & Chief Research Officer (CRO) at Pozalabs Co., Ltd. (AI music startup)
Jan. 2019 - Jan. 2022: Manager at Datascience team, Hyundai Mobis Co., Ltd.
Jul. 2017 - Dec. 2018: CEO at Betweeno (AI chatbot startup company)
International
Jesung Ryu, Seungyeon Rhyu, Hong-Gyu Yoon, Eunchong Kim, Ju Young Yang, Taehyun Kim†, "MID-FiLD: MIDI Dataset for Fine-Level Dynamics", AAAI Conference on Artificial Intelligence (AAAI), 2024 [page]
Taehyun Kim*, Lee Hyun*, Hyolim Kang, Minjoo Ki, Hyeonchan Hwang, Kwanho Park, Sharang Han, Seon Joo Kim, "ComMU: Dataset for Combinatorial Music Generation", Conference on Neural Information Processing Systems (NeurIPS), 2022 [page]
Hyolim Kang, Jinwoo Kim, Taehyun Kim, and Seon Joo Kim, "UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [paper]
Tae-Hyun Kim*, Hye-Rin Kim*, and Yeong-Jun Cho, "Product Inspection Methodology via Deep Learning: An Overview", Sensors, 2021 (IF. 3.576) [paper]
Hyolim Kang, Jinwoo Kim, Kyungmin Kim, Taehyun Kim, and Seon Joo Kim, "Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach", IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) - LOng-form VidEo Understanding (LOVEU), 2021 [paper]
Domestic
Hyeong-Jun Lim, Tae-Hyun Kim, Hye-Rin Kim, Min-Hyuk Yang, Yoon-Sik Hong, Seo Hwi, and Yeong-Jun Cho, "A Case Study on the Convergence of AI and IT in Manufacturing Industry", Communications of KIISE, 2020
DongEun Lee, JinWoo Kim, and TaeHyun Kim†, "A Parallel Model using Canny Edge Detection for Car Image Classification", Korea Computer Congress, 2020
Tae-Hyun Kim*, Yeong-Jun Cho*, and Hye-Rin Kim, "A PCB Inspection with Semi-supervised ADDA Networks", KIISE Transactions of Computing Practices, 2020 [paper]
Tae-Hyun Kim*, Hye-Rin Kim, Yeong-Jun Cho and Chang-Mo Jung "A PCB Inspection with Advanced ADDA Networks", Korea Computer Congress, 2019
* and † marks denote first authors and corresponding authors
International
Tae Hyun Kim, Jun Byeong Lee, Hyo Seob Kim, Hee Taek Lim, "ARTIFICIAL INTELLIGENCE-BASED SIMILAR SOUND SOURCE SEARCH SYSTEM AND METHOD", Approved, US, 2023, Application No. 18/222,405, Patent No. 12,141,196
Tae-Hyun Kim, Yu-Min Cho, Kyu-Ha Song, "METHOD AND APPARATUS FOR DETECTING DEFECT BASED ON PHASED PASS/FAIL DETERMINATION", Approved, US, 2022, Application No. 17/891,302
Tae-Hyun Kim, Hye-Rin Kim, Yeong-Jun Cho, "METHOD AND SYSTEM FOR DEFECT INSPECTION BASED ON DEEP LEARNING", Approved, US, 2021, Application No. 17/515,950
Tae-Hyun Kim, Eun-bin Kim, Jung-kyu Kim, "METHOD AND APPARATUS FOR CLASSIFYING DOCUMENT BASED ON ATTENTION MECHANISM AND SEMANTIC ANALYSIS", Approved, US, 2021, Application No. 17/505,979
Tae-Hyun Kim, Jung-kyu Kim, "DEVICE AND METHOD FOR DEFECT INSPECTION BASED ON EXPLAINABLE ARTIFICIAL INTELLIGENCE", Approved, US, 2021, Application No. 17/352,017
Tae-Hyun Kim, Jung-kyu Kim, "A METHOD OF OPERATING A COMPUTING DEVICE FOR DEFECT INSPECTION AND SYSTEM FOR INSPECTING A DEFECT", Approved, CN, 2021, Application No. 202110858120.5
Domestic
김태현, 윤연호, 박관호, "강화 학습을 이용한 오디오 생성", KR, 출원 번호 10-2023-0122373, 등록 번호 10-2636709
김태현, 김은총, 유승연, "인공지능을 이용한 오디오 데이터 생성", KR, 출원 번호 10-2023-0094631, 등록 번호 10-2612572
김태현, 이준병, 김효섭, 임희택, "인공지능 기반의 유사 음원 검색 시스템 및 방법", KR, 출원 번호 10-2022-0163812, 등록 번호 10-2625795
김태현, 김선주, 기민주, 강효림, 김진우, "계층적 구조에 기반하는 시공간 액션 위치추정 장치 및 방법", KR, 출원 번호 10-2021-0148052
김태현, 조유민, 송규하, "단계적 합부 판정을 기반으로 한 불량 검출방법 및 장치", KR, 출원 번호 10-2021-0110497
김태현, 김혜린, "제상패턴 합부 판정방법 및 이를 위한 학습데이터 생성 방법", KR, 출원 번호 10-2021-0097674
김태현, 주홍식, "딥러닝 기반의 나사산 불량 검출 장치 및 방법", KR, 출원 번호 10-2021-0094788
김태현, 김은빈, 김정규, "어텐션 메카니즘 및 의미분석 기반 문서 분류장치 및 방법", KR, 출원 번호 10-2021-0094696
김태현, 김정규, "설명가능 AI 기반 불량검출 장치 및 방법", KR, 출원 번호 10-2021-0033928, 등록 번호 10-2637170
김태현, 노현진, "내비게이션 후방카메라 영상에 대한 딥러닝 기반 검사방법 및 이를 위한 검사시스템", KR, 출원 번호 10-2021-0014949
김태현, 김혜린, 조영준, "딥러닝 기반 제품 불량 검출방법 및 시스템", KR, 출원 번호 10-2020-0175771
Excellence award, Yonsei University AI Workshop, 2022
First place award, Track 1 Generic Event Boundary Detection Challenge, CVPR Long-form Video Understanding Workshop, 2021 [youtube]
Best employee of the year, Hyundai Mobis, 2020 [youtube]
Theme: An efficient system for product inspection via deep learning
5th place award, Nuclear Power Plant Status Judgment AI Competition, 2020
Head of Korean space weather center award, Space Radio Disaster Forecast AI Competition, 2019
Best oral presentation award, Korea Computer Congress, 2019
Special award, Samsung AI Hackathon, 2018
Best award, Yonsei University Computer Science Graduation Pieces Exhibition, 2016
Theme: Building a Brain Wave Analysis System Using Deep Learning and the Application of Games
Excellence award, Yonsei University School of Technology Creative Exhibition, 2016
Theme: Building a Brain Wave Analysis System Using Deep Learning and the Application of Games
Excellence award, Korean Society for Computational Neuroscience Project Execution, 2016
Theme: Diversity Application of Neural Net Using Genetic Algorithms
Academic achievement excellence award, Yonsei University, 2016