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

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

Faculty

Feb 26, 2024

Northeastern Among Top 100 Universities for Utility Patents

Northeastern University, recognized for its excellence in innovation and entrepreneurship, has once again been named one of the top 100 universities worldwide for securing utility patents by the National Academy of Inventors.

raymond fu

Faculty

Jan 22, 2024

Fu Receives IEEE 2024 Edward J. McCluskey Technical Achievement Award

ECE/Khoury Professor Yun Raymond Fu is the recipient of the 2024 Edward J. McCluskey Technical Achievement Award, a prestigious recognition bestowed by the IEEE Computer Society for innovative and impactful contributions to representation learning, computer vision, face, and gesture recognition.

raymond fu

Faculty

Dec 12, 2023

Fu Elected as Member of the European Academy of Sciences and Arts

ECE/Khoury Professor Yun Raymond Fu was elected as a member of the European Academy of Sciences and Arts in the Technical and Environmental Sciences class. The Academy’s mission is to stimulate cross-disciplinary collaboration between reputable scientists of all disciplines, leading artists, and practitioners of governance. New members are received formally at the annual Festive Session […]

raymond fu

Faculty

Dec 12, 2023

Fu Named National Academy of Inventors Fellow

ECE/Khoury Professor Yun Raymond Fu was selected as a Fellow of the National Academy of Inventors (NAI). Election as an Academy Fellow is the highest professional distinction awarded solely to inventors. The 2023 class of Fellows will be honored and presented their medals by a senior United States Patent and Trademark Office (USPTO) official at […]

Faculty

Dec 07, 2023

2023 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% 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 those […]

Spotlight Story

Oct 13, 2023

PhD Spotlight: Yu Yin, PhD’23, Computer Engineering

Yu Yin began her PhD program in computer engineering at Northeastern in 2019, advised by distinguished professor Yun Raymond Fu. Having completed her PhD i n2023, she is now an assistant professor of computer and data sciences at Case Western Reserve University’s School of Engineering.

raymond fu

Faculty

Jun 26, 2023

Explainable Anomaly Detection

ECE/Khoury Professor Yun Raymond Fu received a $540K AFOSR grant to address video anomaly detection through deep learning and perturbation techniques.

raymond fu

Faculty

May 16, 2023

Enhancing Face Recognition with Frontal Face Synthesis

ECE/Khoury Professor Yun Raymond Fu was awarded a patent for “Frontal face synthesis from low-resolution images.”

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 […]

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