Yun Raymond Fu
Professor, Electrical and Computer Engineering
Jointly Appointed, Khoury College of Computer Sciences
Office
- 403 Dana Research Center
- 617.373.7328
Related Links
Research Focus
Artificial Intelligence: Machine Learning and Computational Intelligence, Computer Vision and Pattern Recognition, Big Data Mining and Social Media Analytics
About
Y. 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 Computer Vision, Machine Learning, Data Mining, 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 7 Prestigious Young Investigator Awards from NAE, ONR, ARO, IEEE, INNS, UIUC, Grainger Foundation; 12 Best Paper Awards from IEEE, ACM, IAPR, SPIE, SIAM; many major Industrial Research Awards from Google, Amazon, Samsung, JPMorgan Chase, Cisco, NEC, Konica Minolta, Snap, Zebra, Adobe, MERL and Mathworks, etc. He is currently an Associate Editor of the IEEE Transactions on Image Processing (TIP). He is fellow of IEEE, IAPR, OSA and SPIE, a Lifetime Distinguished Member of ACM, Lifetime Senior 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 and CEO of AI startup 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
- 2018 ACM Distinguished Member
- 2017 Faculty Fellow
- Fellow of IEEE, IAPR, OSA and SPIE
- ACM Future of Computing Academy Member
- Army Research Office Young Investigator Award
- Office of Naval Research Young Investigator Award
- IEEE CIS Outstanding Early Career 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
SMILE Lab
SMILE lab focuses on the frontier research of Artificial Intelligence, especially Machine Learning, Computer Vision and Data Mining. Our research is driven by the explosion of real-world diverse and massive data from the Internet, social media, sensor, personal or publicly available texts, photos, audios and videos.
Selected Research Projects
- EAGER: Vision-Based Activity Forecasting by Mining Temporal Causalities
- – Principal Investigator, National Science Foundation
- Deeply Learned Visual Commonsense and Its Applications
- – Principal Investigator, Samsung Global Research Outreach
- Deep Structures Boosted Self-Organized Behavior Pattern Learning for Anomaly Detection
- – Principal Investigator, Office of Naval Research
Department Research Areas
Selected Publications
- Jiang, Songyao, Tao, Zhiqiang, Fu, Yun (2021). Geometrically Editable Face Image Translation With Adversarial Networks. IEEE Transactions on Image Processing, 30,2771-2783. 10.1109/TIP.2021.3052084
- Li, Jun, Liu, Hongfu, Tao, Zhiqiang, Zhao, Handong, Fu, Yun (2021). Learnable Subspace Clustering. IEEE Transactions on Neural Networks, ,1-15. 10.1109/TNNLS.2020.3040379
- Liu, Hongfu, Li, Jun, Wu, Yue, Fu, Yun (2021). Clustering with Outlier Removal. IEEE Transactions on Knowledge and Data Engineering, 33(6),2369-2379. 10.1109/TKDE.2019.2954317
- Wang, Qianqian, Ding, Zhengming, Tao, Zhiqiang, Gao, Quanxue, Fu, Yun (2021). Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency. IEEE Transactions on Image Processing, 30,1771-1783. 10.1109/TIP.2020.3048626
- Xu, Yihao, Zhang, Xianzhe, Fu, Yun, Liu, Yongmin (2021). Interfacing photonics with artificial intelligence: an innovative design strategy for photonic structures and devices based on artificial neural networks. Photonics Research, 9(4),B135. 10.1364/PRJ.417693
- Zhang, Yulun, Tian, Yapeng, Kong, Yu, Zhong, Bineng, Fu, Yun (2021). Residual Dense Network for Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(7),2480-2495. 10.1109/TPAMI.2020.2968521
- Chen, Shuhan, Tan, Xiuli, Wang, Ben, Lu, Huchuan, Hu, Xuelong, Fu, Yun (2020). Reverse Attention-Based Residual Network for Salient Object Detection. IEEE Transactions on Image Processing, 29,3763-3776. 10.1109/TIP.2020.2965989
- Jiang, Shuhui, Wang, Zhaowen, Hertzmann, Aaron, Jin, Hailin, Fu, Yun (2020). Visual Font Pairing. IEEE Transactions on Multimedia, 22(8),2086-2097. 10.1109/TMM.2019.2952266
- Kong, Yu, Tao, Zhiqiang, Fu, Yun (2020). Adversarial Action Prediction Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(3),539-553. 10.1109/TPAMI.2018.2882805
- Li, Kunpeng, Kong, Yu, Fu, Yun (2020). Visual Object Tracking via Multi-Stream Deep Similarity Learning Networks. IEEE Transactions on Image Processing, 29,3311-3320. 10.1109/TIP.2019.2959249
- Li, Kunpeng, Wu, Ziyan, Peng, Kuan-Chuan, Ernst, Jan, Fu, Yun (2020). Guided Attention Inference Network. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(12),2996-3010. 10.1109/TPAMI.2019.2921543
- Lu, Changsheng, Xia, Siyu, Shao, Ming, Fu, Yun (2020). Arc-support Line Segments Revisited: An Efficient High-quality Ellipse Detection. IEEE Transactions on Image Processing, 29,768-781. 10.1109/TIP.2019.2934352
- Sun, Gan, Cong, Yang, Wang, Qianqian, Zhong, Bineng, Fu, Yun (2020). Representative Task Self-Selection for Flexible Clustered Lifelong Learning. IEEE Transactions on Neural Networks, ,1-15. 10.1109/TNNLS.2020.3042500
- Sun, Gan, Cong, Yang, Wang, Qianqian, Li, Jun, Fu, Yun (2020). Lifelong Spectral Clustering. Proceedings of the AAAI Conference on Artificial Intelligence, 34(04),5867-5874. 10.1609/AAAI.V34I04.6045
- Tao, Zhiqiang, Liu, Hongfu, Li, Sheng, Ding, Zhengming, Fu, Yun (2020). Marginalized Multiview Ensemble Clustering. IEEE Transactions on Neural Networks, 31(2),600-611. 10.1109/TNNLS.2019.2906867
- Tian, Yi, Kong, Yu, Ruan, Qiuqi, An, Gaoyun, Fu, Yun (2020). Aligned Dynamic-Preserving Embedding for Zero-Shot Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology, 30(6),1597-1612. 10.1109/TCSVT.2019.2908487
- Wang, Lichen, Liu, Yunyu, Qin, Can, Sun, Gan, Fu, Yun (2020). Dual Relation Semi-Supervised Multi-Label Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 34(04),6227-6234. 10.1609/AAAI.V34I04.6089
- Yin, Yu, Robinson, Joseph, Zhang, Yulun, Fu, Yun (2020). Joint Super-Resolution and Alignment of Tiny Faces. Proceedings of the AAAI Conference on Artificial Intelligence, 34(07),12693-12700. 10.1609/AAAI.V34I07.6962
- H. Liu, Z.G. Tao, Y. Fu, Partition Level Constrained Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, 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
- 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
Jan 24, 2022
Fu Receives Acorn Innovation Fund Award
ECE/Khoury Professor Yun Raymond Fu received an Acorn Innovation Fund Award for his project “Pathfind: AI Driven Remote Motion Tracking by Light-Weight Deep Learning.”
Dec 23, 2021
COE Professors Selected in Stanford University List of Top 2% Scientists Worldwide
The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2 percent of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes […]
Dec 16, 2021
ECE Wins NVIDIA CCS Best Student Paper Award
ECE Professor Y. Raymond Fu and his computer engineering students Songyao Jiang, PhD’22, Hongfu Liu, PhD’18, and Yue Wu, PhD’19, received the “NVIDIA CCS Best Student Paper Award” from IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2021.
Dec 02, 2021
Funding for New Open-set Domain Adaptation Method
ECE/Khoury Professor Yun Raymond Fu received $100K from the Cisco Research University Funding Committee for his project on “Self-debiased Open-set Domain Adaptation.”
Oct 01, 2021
PhD Spotlight: Alexandria Will-Cole, PhD’23 – Electrical Engineering
Advised by Nian Sun, Professor of Electrical and Computer Engineering Alexandria Will-Cole, PhD’23, electrical engineering, joined Professor Nian X. Sun’s Advanced Materials and Microsystems Lab in 2019 to pursue a PhD in Electrical Engineering at Northeastern University. Prior to her doctoral studies, she completed her MS in Materials Science and Engineering from Drexel University and […]
Oct 01, 2021
PhD Spotlight: Yulun Zhang, PhD’21 – Computer Engineering
Advised by Yun Raymond Fu, Professor of Electrical and Computer Engineering After completing an MS in Control Engineering at Tsinghua University, Yulun Zhang, PhD’21, computer engineering, joined the Department of Electrical and Computer Engineering PhD program at Northeastern University in 2017, working in the Synergetic Media Learning Lab, advised by Professor Yun Raymond Fu. The […]
May 11, 2021
Just What the Doctor Ordered
Human beings are some of the most complex systems in the world, and responses to illness, disease, and impairments manifest in countless different ways. When it comes to making sure that your system stays up and running, healthcare professionals typically have their own deep well of knowledge—but the addition of artificial intelligence tools offers unprecedented […]
Apr 21, 2021
Fu Receives Funding Towards Image and Video Analysis
ECE/Khoury Professor Yun Raymond Fu received a $50K Adobe Faculty Research Award, a $60K NEC Faculty Research Gift, and a $40K Picsart AI Research (PAIR) Faculty Research Gift that will be used towards his research on image and video processing and analysis.
Mar 29, 2021
SMILE Lab Wins 1st at Conference on Computer Vision and Pattern Recognition
ECE/Khoury Professor Yun Raymond Fu’s SMILE lab won first prize for both the RGB and RGB-D competition tracks of the CVPR21 International Sign Language Challenge.
Mar 15, 2021
Fu Receives Adobe Data Science Research Award
ECE/Khoury Professor Yun Raymond Fu received a $50K 2021 Adobe Data Science Research Award for his proposal on “Time-Aware Causal Embedding for Personalized Digital Marketing.”