Yun Raymond Fu
Professor,
Electrical and Computer Engineering
Jointly Appointed,
Khoury College of Computer Sciences
Office
- 403 Dana Research Center
- 617.373.7328
Research Focus
Artificial Intelligence: Machine Learning and Computational Intelligence, Computer Vision and Pattern Recognition, Big Data Mining and Social Media Analytics.
About
Yun Raymond Fu received the Ph.D. degree in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. He is an interdisciplinary faculty member affiliated with College of Engineering and the Khoury College of Computer Sciences at Northeastern University since 2012. His research interests are Machine Learning, Computational Intelligence, Big Data Mining, Computer Vision, Pattern Recognition, and Cyber-Physical Systems. He has extensive publications in leading journals, books/book chapters and international conferences/workshops. He serves as associate editor, chairs, PC member and reviewer of many top journals and international conferences/workshops. He received seven Prestigious Young Investigator Awards from NAE, ONR, ARO, IEEE, INNS, UIUC, Grainger Foundation; eleven Best Paper Awards from IEEE, ACM, IAPR, SPIE, SIAM; many major Industrial Research Awards from Google, Samsung, Konica Minolta, Zebra, Adobe, and Mathworks, etc. He is currently an Associate Editor of the IEEE Transactions on Neural Networks and Leaning Systems (TNNLS). He is fellow of IEEE, IAPR, OSA and SPIE, a Lifetime Distinguished Member of ACM, Lifetime Member of AAAI and Institute of Mathematical Statistics, member of ACM Future of Computing Academy, Global Young Academy, AAAS, INNS and Beckman Graduate Fellow during 2007-2008. He is also a serial entrepreneur for technology commercialization. He was the Founder of Giaran which was acquired by Shiseido in 2017, the largest multinational cosmetic firm in Japan.
Education
- PhD, University of Illinois, 2008. Joined Northeastern in 2012.
Honors & Awards
- 2017 Faculty Fellow
- Fellow of IEEE, IAPR, OSA and SPIE
- Army Research Office Young Investigator Award
- Office of Naval Research Young Investigator Award
- International Neural Network Society’s Young Investigator Award
- Søren Buus Outstanding Research Award
- Grainger Foundation Frontiers of Engineering Award
Research Overview
Artificial Intelligence: Machine Learning and Computational Intelligence, Computer Vision and Pattern Recognition, Big Data Mining and Social Media Analytics.
Department Research Areas
Selected Publications
- J.P. Robinson, M. Shao, Y. Wu, H. Liu, T. Gillis, Y. Fu, Visual Kinship Recognition of Families In the Wild (FIW), IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018
- H. Liu, Z.g Tao, Y. Fu, Partition Level Constrained Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018
- S. Li, M. Shao, Y. Fu, Person Re-identication by Cross-View Multi-Level Dictionary Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018
- K. Li, Z. Wu, K.C. Peng, J.Ernst, Y. Fu, Tell Me Where To Look: Guided Attention Inference Network, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
- Y. Zhang, Y.Tian, Y.Kong, B. Zhong Y. Fu, Residual Dense Network for Image Super-Resolution, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Mar 31, 2020
Yun Raymond Fu Awarded 2020 Faculty Research Award Program at JPMorgan
ECE/Koury Professor Yun Raymond Fu’s research proposal Reinforced Graph-Structured Expert Model for Business Intelligence was recently accepted and awarded into the 2020 Faculty Research Awards Program through JPMorgan Chase AI Research Team.
Jan 07, 2020
Recognizing Families in the Wild (RFIW)
Computer Engineering PhD student Joseph Robinson’s research on kinship recognition was featured in “Recognizing Families in the Wild (RFIW)” as the challenge of the month in Computer Vision News.
Jan 03, 2020
Recognizing Kin
Computer Engineering PhD student Joseph Robinson’s research on kinship recognition was featured in the Communications of the ACM article “Recognizing Kin”.
Nov 26, 2019
Fu Awarded ARO Grant to Advance Technology for Visual Intelligent Systems
ECE Professor Raymond Fu awarded a $390k grant from the Office of Army Research for “Images Assisted Video Recognition by Heterogeneous Knowledge Transfer.”
Nov 15, 2019
$100k Konica Minolta Gift award for Raymond Fu
ECE Professor Yun “Raymond” Fu’s received $100k Gift from Konica Minolta for his research on generic video understanding.
Oct 27, 2019
ICCV 2019 Workshop RQL Best Paper Award given to Can Qin, Lichen Wang, Yulun Zhang, and Professor Yun “Raymond” Fu
Electrical Engineering PhD students Can Qin, Lichen Wang, Yulun Zhang, and Professor Yun “Raymond” Fu’s paper, “Generatively Inferential Co-Training for Unsupervised Domain Adaptation,” was awarded the Best Paper Award in the The International Workshop and Challenge on Real-World Recognition from Low-Quality Images and Videos (RLQ), in conjunction with International Conference on Computer Vision (ICCV) 2019.
Oct 24, 2019
ACM TOMM Nicolas D. Georganas Best Paper Award 2019 awarded to Shuhui Jiang, Yue Wu, and Professor Yun “Raymond” Fu
Electrical PhD students Shuhui Jiang, Yue Wu, and Professor Yun “Raymond” Fu’s paper, “Deep Bi-directional Cross-triplet Embedding for Online Clothing Shopping,” was awarded the ACM TOMM Nicolas D. Georganas Best Paper Award 2019.
Jul 08, 2019
Fu Awarded Patent to Digitally Remove Makeup from an Image
ECE/Koury Professor Yun “Raymond” Fu was awarded a patent for creating a “system for beauty, cosmetic, and fashion analysis.”
Jun 19, 2019
Using Deep-Learning for Multi-Functional Meta-Systems
MIE/ECE Associate Professor Yongmin Liu and ECE/Koury Associate Professor Yun “Raymond” Fu were awarded a $530K NSF grant for “Multi-Functional Optical Meta-Systems Enabled by Deep-Learning-Aided Inverse Design”.
Apr 09, 2019
FY20 TIER 1 Award Recipients
25 COE faculty and affiliates were recipients of FY20 TIER 1 Interdisciplinary Research Seed Grants for 18 different projects representing up to $900K dollars of investment in research.