Page 80 - 2017 Brochure
P. 80
究員
陳祝嵩 Chu-Song Chen
Research Fellow
Ph.D., Computer Science and Information Engineering,
National Taiwan University
Tel: +886-2-2788-3799 ext. 1310 Fax: +886-2-2782-4814
Email: song@iis.sinica.edu.tw
http://www.iis.sinica.edu.tw/pages/song/
• Professor (Adjunct), Graduate Institute of Networking and Multimedia, National Taiwan University (2009-present)
• Governing-board Member , IPPR Society, Taiwan (2015-2018)
• Deputy Director, Research Center for Information Technology Innovation, Academia Sinica (2008-2015)
• Best Paper Award, IEEE Internet of Things Conference (2014)
• Associate Research Fellow, Institute of Information Science, Academia Sinica (2003-2008)
• Associate Professor (Adjunct), Computer Science and Information Engineering, National Taipei University of Science and Technology (2004-2005)
• Assistant Professor (Joint appointed), Graphic Arts and Communications, National Taiwan Normal University (2001-2004)
• Assistant Research Fellow, Institute of Information Science, Academia Sinica (1999-2003)
Research Description One of my main research focuses is deep learning and pattern
recognition algorithms that are effective for machine vision or home-
I received a B.S. in Control Engineering from National Chiao- robot applications. Current research focuses include image/video
Tung University, Taiwan, in 1989. Next, I went to National Taiwan retrieval, object detection and recognition, ADAS systems, home
University, where I received an M.S. in 1991 and a Ph.D. in 1996, robots, and mining the inter-personal relationships of characters
both from the Department of Computer Science and Information in a movie. Specific topics include the development of effective
Engineering. Currently, I am a Research Fellow in the Institute of methods for learning binary hash functions, establishing feature
Information Science (IIS), and am jointly appointed in the Research space for retrieval, as well as joint learning from video frames and
Center for Information Technology Innovation (CITI), at Academia captions for multimedia mining.
Sinica. Additionally, I am appointed as an Adjunct Professor and
teach at the Graduate Institute of Networking and Multimedia (GINM)
at National Taiwan University. I am on the editorial board of Machine
Vision and Applications (Springer) and Journal of Information
Science and Engineering (IIS). I served as area chair of ACCV’09,
ACCV’10 and NBiS’10, program chair of IMV’12 and IMV’13,
general chair of IMEV’14, tutorial chair of ACCV’14, and workshop
chair of ACCV’16 conferences. My main research directions include
deep learning, pattern recognition, computer vision, machine
learning and image/multimedia processing. I have published more
than 150 technical papers in these fields.
Publications 6. Bor-Chun Chen, Chu-Song Chen, and Winston H. Hsu, “Face
Recognition and Retrieval Using Cross-Age Reference Coding with
1. Huei-Fang Yang, Kevin Lin, and Chu-Song Chen, “Supervised Cross-Age Celebrity Dataset,” IEEE Transactions on Multimedia,
Learning of Semantics-Preserving Hash via Deep Convolutional volume 17, number 6, pages 804-815, April 2015.
Neural Networks,” to appear in IEEE Transactions on Pattern
Analysis and Machine Intelligence. 7. Kuang-Yu Chang and Chu-Song Chen, “A Learning Framework
for Age Rank Estimation based on Face Images with Scattering
2. Kuan-Wen Chen, Chun-Hsin Wang, Xiao Wei, Qiao Liang, Chu- Transform,” IEEE Transactions on Image Processing, volume 24,
Song Chen, Ming-Hsuan Yang, and Yi-Ping Hung, “Vision- number 3, pages 785-798, March 2015.
Based Positioning for Internet-of-Vehicles,” IEEE Transactions on
Intelligent Transportation Systems, volume 18, number 2, pages 364- 8. Hsin-Ho Yeh, Chun-Yu Yang, Ming-Sui Lee, and Chu-Song Chen,
376, February 2017. “Video Aesthetic Quality Assessment by Temporal Integration
of Photo- and Motion-based Features,” IEEE Transactions on
3. Huei-Fang Yang, Kevin Lin, and Chu-Song Chen, “Cross-batch Multimedia, volume 15, number 8, pages 1944-1957, December 2013.
Reference Learning for Deep Classification and Retrieval,” ACM
International Conference on Multimedia 2016, ACM MM 2016 (long 9. Chia-Ping Chen and Chu-Song Chen, “Intrinsic Illumination Subspace
paper), October 2016. for Lighting Insensitive Face Recognition,” IEEE Transactions on
Systems, Man, and Cybernetics, Part B: Cybernetics, volume 42,
4. Kevin Lin, Shen-Chi Chen, Chu-Song Chen, Daw-Tung Lin, and Yi- number 2, pages 422-433, April 2012
Ping Hung, “Abandoned Object Detection using Finite-State Machine
Modeling and Back-Tracing Verification for Visual Surveillance,” 10. Hsin-Chien Huang, Yung-Yu Chuang and Chu-Song Chen, “Multiple
IEEE Transactions on Information Forensics & Security, volume 10, Kernel Fuzzy Clustering,” IEEE Transactions on Fuzzy Systems,
number 7, pages 1359-1370, July 2015. volume 20, number 1, pages 120-134, February 2012.
5. Keng-Hao Liu, Yen-Yu Lin and Chu-Song Chen, “Linear Spectral
Mixture Analysis via Multiple Kernel Learning for Hyperspectral
Image Classification,” IEEE Transactions on Geoscience and Remote
Sensing, volume 53, number 4, pages 2254-2269, April 2015.
78 研究人員 Research Faculty
陳祝嵩 Chu-Song Chen
Research Fellow
Ph.D., Computer Science and Information Engineering,
National Taiwan University
Tel: +886-2-2788-3799 ext. 1310 Fax: +886-2-2782-4814
Email: song@iis.sinica.edu.tw
http://www.iis.sinica.edu.tw/pages/song/
• Professor (Adjunct), Graduate Institute of Networking and Multimedia, National Taiwan University (2009-present)
• Governing-board Member , IPPR Society, Taiwan (2015-2018)
• Deputy Director, Research Center for Information Technology Innovation, Academia Sinica (2008-2015)
• Best Paper Award, IEEE Internet of Things Conference (2014)
• Associate Research Fellow, Institute of Information Science, Academia Sinica (2003-2008)
• Associate Professor (Adjunct), Computer Science and Information Engineering, National Taipei University of Science and Technology (2004-2005)
• Assistant Professor (Joint appointed), Graphic Arts and Communications, National Taiwan Normal University (2001-2004)
• Assistant Research Fellow, Institute of Information Science, Academia Sinica (1999-2003)
Research Description One of my main research focuses is deep learning and pattern
recognition algorithms that are effective for machine vision or home-
I received a B.S. in Control Engineering from National Chiao- robot applications. Current research focuses include image/video
Tung University, Taiwan, in 1989. Next, I went to National Taiwan retrieval, object detection and recognition, ADAS systems, home
University, where I received an M.S. in 1991 and a Ph.D. in 1996, robots, and mining the inter-personal relationships of characters
both from the Department of Computer Science and Information in a movie. Specific topics include the development of effective
Engineering. Currently, I am a Research Fellow in the Institute of methods for learning binary hash functions, establishing feature
Information Science (IIS), and am jointly appointed in the Research space for retrieval, as well as joint learning from video frames and
Center for Information Technology Innovation (CITI), at Academia captions for multimedia mining.
Sinica. Additionally, I am appointed as an Adjunct Professor and
teach at the Graduate Institute of Networking and Multimedia (GINM)
at National Taiwan University. I am on the editorial board of Machine
Vision and Applications (Springer) and Journal of Information
Science and Engineering (IIS). I served as area chair of ACCV’09,
ACCV’10 and NBiS’10, program chair of IMV’12 and IMV’13,
general chair of IMEV’14, tutorial chair of ACCV’14, and workshop
chair of ACCV’16 conferences. My main research directions include
deep learning, pattern recognition, computer vision, machine
learning and image/multimedia processing. I have published more
than 150 technical papers in these fields.
Publications 6. Bor-Chun Chen, Chu-Song Chen, and Winston H. Hsu, “Face
Recognition and Retrieval Using Cross-Age Reference Coding with
1. Huei-Fang Yang, Kevin Lin, and Chu-Song Chen, “Supervised Cross-Age Celebrity Dataset,” IEEE Transactions on Multimedia,
Learning of Semantics-Preserving Hash via Deep Convolutional volume 17, number 6, pages 804-815, April 2015.
Neural Networks,” to appear in IEEE Transactions on Pattern
Analysis and Machine Intelligence. 7. Kuang-Yu Chang and Chu-Song Chen, “A Learning Framework
for Age Rank Estimation based on Face Images with Scattering
2. Kuan-Wen Chen, Chun-Hsin Wang, Xiao Wei, Qiao Liang, Chu- Transform,” IEEE Transactions on Image Processing, volume 24,
Song Chen, Ming-Hsuan Yang, and Yi-Ping Hung, “Vision- number 3, pages 785-798, March 2015.
Based Positioning for Internet-of-Vehicles,” IEEE Transactions on
Intelligent Transportation Systems, volume 18, number 2, pages 364- 8. Hsin-Ho Yeh, Chun-Yu Yang, Ming-Sui Lee, and Chu-Song Chen,
376, February 2017. “Video Aesthetic Quality Assessment by Temporal Integration
of Photo- and Motion-based Features,” IEEE Transactions on
3. Huei-Fang Yang, Kevin Lin, and Chu-Song Chen, “Cross-batch Multimedia, volume 15, number 8, pages 1944-1957, December 2013.
Reference Learning for Deep Classification and Retrieval,” ACM
International Conference on Multimedia 2016, ACM MM 2016 (long 9. Chia-Ping Chen and Chu-Song Chen, “Intrinsic Illumination Subspace
paper), October 2016. for Lighting Insensitive Face Recognition,” IEEE Transactions on
Systems, Man, and Cybernetics, Part B: Cybernetics, volume 42,
4. Kevin Lin, Shen-Chi Chen, Chu-Song Chen, Daw-Tung Lin, and Yi- number 2, pages 422-433, April 2012
Ping Hung, “Abandoned Object Detection using Finite-State Machine
Modeling and Back-Tracing Verification for Visual Surveillance,” 10. Hsin-Chien Huang, Yung-Yu Chuang and Chu-Song Chen, “Multiple
IEEE Transactions on Information Forensics & Security, volume 10, Kernel Fuzzy Clustering,” IEEE Transactions on Fuzzy Systems,
number 7, pages 1359-1370, July 2015. volume 20, number 1, pages 120-134, February 2012.
5. Keng-Hao Liu, Yen-Yu Lin and Chu-Song Chen, “Linear Spectral
Mixture Analysis via Multiple Kernel Learning for Hyperspectral
Image Classification,” IEEE Transactions on Geoscience and Remote
Sensing, volume 53, number 4, pages 2254-2269, April 2015.
78 研究人員 Research Faculty
