Yun Raymond Fu

COE Distinguished Professor,  Electrical and Computer Engineering
Jointly Appointed,  Khoury College of Computer Sciences

Contact

Social Media

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

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

  • 2022 Member of Academia Europaea
  • 2018 ACM Distinguished Member
  • 2017 Faculty Fellow
  • Fellow of AAAS, 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.

SMILE lab

Selected Research Projects

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
Kevin Fu and Yun Raymond Fu

Faculty

Jan 31, 2023

Kevin Fu and Raymond Fu Elected AAAS Fellows

ECE/Khoury Professors Kevin Fu and Yun Raymond Fu were elected as American Association for the Advancement of Science 2022 Fellows in the Information, Computing & Communication section.

Faculty

Jan 24, 2023

Faculty and Staff Awards 2023

Congratulations to all the winners of the faculty and staff awards, and to everyone for their hard work and dedication during the 2022-2023 academic school year. COE Distinguished Faculty Award Yun Raymond Fu, ECE Auroop Ganguly, CEE Luke Landherr, ChE Sinan Müftü, MIE Mark Niedre, BioE Alison Nogueira, Co-op Nian Sun, ECE Constantinos Mavroidis Translational […]

raymond fu

Faculty

Nov 22, 2022

Detecting Pose Positions from Multi-Person Images

ECE/Khoury Professor Yun Raymond Fu was awarded a patent for “Multi-person pose estimation using skeleton prediction.”

Faculty

Nov 02, 2022

2022 Stanford University Annual Assessment of Author Citations

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 […]

Faculty

Jul 22, 2022

Six Engineering Spinouts Selected as Eddies Finalists

Six spinout companies that were created by engineering faculty have been selected as finalists for the Massachusetts Innovation Network’s innovation competition, The Eddies. Every year, the Massachusetts Innovation Network hosts its signature innovation competition, The Eddies. The Eddies (formerly known as NE Innovation Awards) is the oldest and longest running innovation competition in New England. […]

raymond fu

Faculty

Jul 01, 2022

Fu Elected Member of Academia Europaea

ECE/Khoury Professor Yun Raymond Fu was elected to be a Member of Academia Europaea (The Academy of Europe).

raymond fu

Faculty

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.”

Faculty

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 […]

raymond fu

Faculty

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.

raymond fu

Faculty

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.”

View All Related News