Yun Raymond Fu

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.

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

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