Laboratory Director
Prof. Yu-Chiang Frank Wang
王鈺強 教授
Research Interests: Computer Vision, Machine Learning, Pattern Recognition, Image Processing
Contact: ycwang AT ntu.edu.tw
Yu-Chiang Frank Wang received his B.S. degree in Electrical Engineering from National Taiwan University in 2001. He received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from Carnegie Mellon University in 2004 and 2009, respectively. In 2009, Dr. Wang joined the Research Center for Information Technology Innovation (CITI), Academia Sinica as an Assistant Research Fellow, where he lead the Multimedia and Machine Learning (MML) Lab with research focuses on computer vision and machine learning. He was later promoted as the Associate Research Fellow in 2013, and also served as the Deputy Director of CITI from 2015 to 2017.
Dr. Wang joined the Graduate Institute of Communication Engineering and Department of Electrical Engineering at National Taiwan University as an Associate Professor in 2017, and was promoted to Professor in 2019. With continuing research focuses on computer vision and machine learning, Dr. Wang's recent research topics include deep learning for transfer learning, domain adaptation, face recognition, semantic segmentation, and multi-label classification. Dr. Wang serves as organizing committee members and area chairs of multiple international conferences such as CVPR, ICCV, ECCV, and ACCV. Several of his papers are nominated for the best paper awards, including IEEE ICIP, ICME, AVSS and MVA. Dr. Wang is twice selected as the Outstanding Young Researcher by the Ministry of Science and Technology of Taiwan (2013-2015 and 2017-2019).
Work Experiences
AI Advisory Consultant 2019 - present
ASUS Intelligent Cloud Services, ASUSTek Computer Inc.
Director 2019 - present
Computing Center, Dept. Electrical Engineering, National Taiwan University
Project Consultant 2019
Institute for Information Industry
Research Consultant 2017
Viscovery
Deputy Director 2015 - 2017
Research Center for IT Innovation, Academia Sinica
Talks
從電腦視覺與機器學習淺談人工智慧 2018/2019
國立師大附中 / 台北市私立復興實驗高級中學
Deep Transfer Learning for Visual Analysis 2019
ASUS AICS, Taiwan AI Academy, Broadmission
Meta Learning in Deep Learning for Computer Vision Mar 2020
Taiwan AI Academy, Broadmission
Industrial Collaborators (alphabetical order)
AICS, Bitmark, Chunghwa Telecom, Deep01, Digital Drift, ITRI, KaiKuTek, Moxa, Qualcomm, Taiwan AI Labs, Theia, TSMC, Umbo Computer Vision, Viscovery
Dr. Wang joined the Graduate Institute of Communication Engineering and Department of Electrical Engineering at National Taiwan University as an Associate Professor in 2017, and was promoted to Professor in 2019. With continuing research focuses on computer vision and machine learning, Dr. Wang's recent research topics include deep learning for transfer learning, domain adaptation, face recognition, semantic segmentation, and multi-label classification. Dr. Wang serves as organizing committee members and area chairs of multiple international conferences such as CVPR, ICCV, ECCV, and ACCV. Several of his papers are nominated for the best paper awards, including IEEE ICIP, ICME, AVSS and MVA. Dr. Wang is twice selected as the Outstanding Young Researcher by the Ministry of Science and Technology of Taiwan (2013-2015 and 2017-2019).
Work Experiences
AI Advisory Consultant 2019 - present
ASUS Intelligent Cloud Services, ASUSTek Computer Inc.
Director 2019 - present
Computing Center, Dept. Electrical Engineering, National Taiwan University
Project Consultant 2019
Institute for Information Industry
Research Consultant 2017
Viscovery
Deputy Director 2015 - 2017
Research Center for IT Innovation, Academia Sinica
Talks
從電腦視覺與機器學習淺談人工智慧 2018/2019
國立師大附中 / 台北市私立復興實驗高級中學
Deep Transfer Learning for Visual Analysis 2019
ASUS AICS, Taiwan AI Academy, Broadmission
Meta Learning in Deep Learning for Computer Vision Mar 2020
Taiwan AI Academy, Broadmission
Industrial Collaborators (alphabetical order)
AICS, Bitmark, Chunghwa Telecom, Deep01, Digital Drift, ITRI, KaiKuTek, Moxa, Qualcomm, Taiwan AI Labs, Theia, TSMC, Umbo Computer Vision, Viscovery