Educations

• 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

Work Experience

• • Sep. 2023 -: CEO at Pozalabs America Inc.

  • Apr. 2023 -: Executive vice president (CSO & CRO) at Pozalabs Co., Ltd.

  • Feb. 2022 -: CSO (Chief Strategy Officer) & CRO (Chief Research Officer) at Pozalabs Co., Ltd. (AI music composing startup company)

  • Jan. 2019 - Jan. 2022: Manager at Datascience team, Hyundai Mobis Co., Ltd.

  • Jul. 2017 - Dec. 2018: CEO at Betweeno (AI chatbot startup company)

Publications

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

Patents

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

• 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

• 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

• 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

  • 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

Honors and Awards

• 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