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Research Fellow 陳祝嵩 研
究
Chu-Song Chen 人
員
Ph.D., Computer Science and Information Engineering, Faculty
National Taiwan University, Taiwan
T +886-2-2788-3799 ext. 1310 E song@iis.sinica.edu.tw
F +886-2-2782-4814 W www.iis.sinica.edu.tw/pages/song
・ Governing Board Member, IPPR Society, Taiwan (2015-present)
・ Adjunct Professor, GINM, National Taiwan University (2009-present)
・ Deputy Director, CITI, Academia Sinica (2008-2015)
・ Secretary-General, IPPR Society, Taiwan (2007-2008)
・ Associate Research Fellow, IIS, Academia Sinica (2003-2008)
・ Adjunct Associate Professor, NTPU, Dept. of CSIE (2004-2005)
・ Joint Appointment Assistant Professor, NTNU, Dept. of GAC (2001-2004)
・ Assistant Research Fellow, IIS, Academia Sinica (1999-2003)
Research Description
Dr. Chu-Song Chen received a Ph.D degree in 1996 from CSIE, National Taiwan University. He is a research fellow/professor of IIS and a joint-
appointment research fellow/Professor of CITI, Academia Sinica. He also serves as an adjunct professor of GINM, National Taiwan University.
His research interests include deep learning, pattern recognition, computer vision, and multimedia. He is on the governing board of the
Image Processing and Pattern Recognition (IPPR) Society, which is a regional society of International Association of Pattern Recognition (IAPR).
He is also with the Most Joint Research Center for AI Technology and All Vista Healthcare. Currently, he serves as an associate editor of the
journals Pattern Recognition (Elsevier) and Machine Vision & Applications (Springer). Dr. Chen devotes to deep learning researches in these
years. In this eld, he has several publications on top conferences (such as CVPR, ICCV, ACM MM, IJCAI, NeurIPS) and journals (IEEE TPAMI,
TNNLS). His works of deep learning of binary features for e cient retrieval (CVPRW15, TPAMI18) are leading studies on hash function learning
via deep networks, which have been cited for more than 550 times according to google scholar. His team won the champion of National
Intelligent-Manufacture Big-Data (IMBD) analysis challenge in 2019. His recent studies focus on merging and lifelong-learning of deep
models, medical image analysis, AI in emergency medicine, and 3D environment exploration and reconstruction.
1. Huei-Fang Yang, Kevin Lin, Ting-Yen Chen, and Chu-Song Publications
Chen, "Cross-batch Reference Learning for Deep Retrieval,"
to appear in IEEE Trans. on Neural Networks and Learning 6. Kuang-Yu Chang, Kung-Hung Lu, and Chu-Song Chen, "Aesthetic
Systems . Critiques Generation for Photos," ICCV 2017.
2. Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung 7. Kuan-Wen Chen, Chun-Hsin Wang, Xiao Wei, Qiao Liang, Chu-
Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking Song Chen, Ming-Hsuan Yang, and Yi-Ping Hung, "Vision-Based
and Growing for Unforgetting Continual Learning," NeurIPS Positioning for Internet-of-Vehicles," IEEE Trans. on Intelligent
2019 . Transportation Systems, volume 18, number 2, February 2017.
3. Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou, and Ming- 8. Huei-Fang Yang, Kevin Lin, and Chu-Song Chen, "Cross-batch
Ting Sun, "Unsupervised Deep Learning of Compact Binary Reference Learning for Deep Classification and Retrieval," ACM
Descriptors," IEEE Trans. on Pattern Analysis and Machine MM 2016 (long paper).
Intelligence, volume 41, number 6, June 2019.
9. Kevin Lin, Jiwen Lu, Chu-Song Chen, and Jie Zhou, "Learning
4. Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu- Compact Binary Descriptors with Unsupervised Deep Neural
Song Chen, "Unifying and Merging Well-trained Deep Neural Networks," CVPR 2016.
Networks for Inference Stage," IJCAI 2018.
10. Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, and Chu-Song Chen,
5. Huei-Fang Yang, Kevin Lin, and Chu-Song Chen, "Supervised "Deep Learning of Binary Hash Codes for Fast Image Retrieval,"
Learning of Semantics-Preserving Hash via Deep Convolutional CVPR Workshop on DeepVision 2015.
Neural Networks," IEEE Trans. on Pattern Analysis and Machine
Intelligence, volume 40, number 2, February 2018. Brochure 2020
173
究
Chu-Song Chen 人
員
Ph.D., Computer Science and Information Engineering, Faculty
National Taiwan University, Taiwan
T +886-2-2788-3799 ext. 1310 E song@iis.sinica.edu.tw
F +886-2-2782-4814 W www.iis.sinica.edu.tw/pages/song
・ Governing Board Member, IPPR Society, Taiwan (2015-present)
・ Adjunct Professor, GINM, National Taiwan University (2009-present)
・ Deputy Director, CITI, Academia Sinica (2008-2015)
・ Secretary-General, IPPR Society, Taiwan (2007-2008)
・ Associate Research Fellow, IIS, Academia Sinica (2003-2008)
・ Adjunct Associate Professor, NTPU, Dept. of CSIE (2004-2005)
・ Joint Appointment Assistant Professor, NTNU, Dept. of GAC (2001-2004)
・ Assistant Research Fellow, IIS, Academia Sinica (1999-2003)
Research Description
Dr. Chu-Song Chen received a Ph.D degree in 1996 from CSIE, National Taiwan University. He is a research fellow/professor of IIS and a joint-
appointment research fellow/Professor of CITI, Academia Sinica. He also serves as an adjunct professor of GINM, National Taiwan University.
His research interests include deep learning, pattern recognition, computer vision, and multimedia. He is on the governing board of the
Image Processing and Pattern Recognition (IPPR) Society, which is a regional society of International Association of Pattern Recognition (IAPR).
He is also with the Most Joint Research Center for AI Technology and All Vista Healthcare. Currently, he serves as an associate editor of the
journals Pattern Recognition (Elsevier) and Machine Vision & Applications (Springer). Dr. Chen devotes to deep learning researches in these
years. In this eld, he has several publications on top conferences (such as CVPR, ICCV, ACM MM, IJCAI, NeurIPS) and journals (IEEE TPAMI,
TNNLS). His works of deep learning of binary features for e cient retrieval (CVPRW15, TPAMI18) are leading studies on hash function learning
via deep networks, which have been cited for more than 550 times according to google scholar. His team won the champion of National
Intelligent-Manufacture Big-Data (IMBD) analysis challenge in 2019. His recent studies focus on merging and lifelong-learning of deep
models, medical image analysis, AI in emergency medicine, and 3D environment exploration and reconstruction.
1. Huei-Fang Yang, Kevin Lin, Ting-Yen Chen, and Chu-Song Publications
Chen, "Cross-batch Reference Learning for Deep Retrieval,"
to appear in IEEE Trans. on Neural Networks and Learning 6. Kuang-Yu Chang, Kung-Hung Lu, and Chu-Song Chen, "Aesthetic
Systems . Critiques Generation for Photos," ICCV 2017.
2. Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung 7. Kuan-Wen Chen, Chun-Hsin Wang, Xiao Wei, Qiao Liang, Chu-
Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking Song Chen, Ming-Hsuan Yang, and Yi-Ping Hung, "Vision-Based
and Growing for Unforgetting Continual Learning," NeurIPS Positioning for Internet-of-Vehicles," IEEE Trans. on Intelligent
2019 . Transportation Systems, volume 18, number 2, February 2017.
3. Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou, and Ming- 8. Huei-Fang Yang, Kevin Lin, and Chu-Song Chen, "Cross-batch
Ting Sun, "Unsupervised Deep Learning of Compact Binary Reference Learning for Deep Classification and Retrieval," ACM
Descriptors," IEEE Trans. on Pattern Analysis and Machine MM 2016 (long paper).
Intelligence, volume 41, number 6, June 2019.
9. Kevin Lin, Jiwen Lu, Chu-Song Chen, and Jie Zhou, "Learning
4. Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu- Compact Binary Descriptors with Unsupervised Deep Neural
Song Chen, "Unifying and Merging Well-trained Deep Neural Networks," CVPR 2016.
Networks for Inference Stage," IJCAI 2018.
10. Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, and Chu-Song Chen,
5. Huei-Fang Yang, Kevin Lin, and Chu-Song Chen, "Supervised "Deep Learning of Binary Hash Codes for Fast Image Retrieval,"
Learning of Semantics-Preserving Hash via Deep Convolutional CVPR Workshop on DeepVision 2015.
Neural Networks," IEEE Trans. on Pattern Analysis and Machine
Intelligence, volume 40, number 2, February 2018. Brochure 2020
173
