Yun Raymond Fu
(he/him)
Professor, Interdisciplinary with College of Engineering
Research interests
- Machine learning
- Computational intelligence
- Big data mining
- Computer vision
- Pattern recognition
- Cyber-physical systems
Education
- PhD in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
- MS in Statistics, University of Illinois at Urbana-Champaign
- BEng in Information Engineering, Xi'an Jiaotong University — China
Biography
Yun Raymond Fu is a professor in the College of Engineering and the Khoury College of Computer Sciences at Northeastern University, based in Boston.
Fu's research interests include machine learning, computational intelligence, big data mining, computer vision, pattern recognition, and cyber-physical systems. He has published extensively in leading journals, books and book chapters, and international conferences and workshops, and serves as associate editor, chair, program committee member, and reviewer for many of these same venues and publications.
Fu is also a successful serial entrepreneur for technology commercialization. He was founder and president of Giaran, a spinoff from Northeastern University that focused on developing neural network-based augmented reality and facial image processing technologies. It was acquired by the global cosmetic firm Shiseido in 2017.
Fu has received seven young investigator awards from NAE, ONR, ARO, IEEE, INNS, UIUC, and the Grainger Foundation. He also holds nine best paper awards from IEEE, IAPR, SPIE, and SIAM. In addition, he has received many major industrial research awards from Google, Samsung, Zebra, Adobe, and Mathworks. Fu is currently an associate editor of the IEEE Transactions on Image Processing. He is a fellow of AAAS, IEEE, IAPR, OSA, SPIE, and AAIA; a Lifetime Distinguished Member of ACM, and a Lifetime Senior Member of AAAI and the Institute of Mathematical Statistics. He is also a member of the ACM Future of Computing Academy, Global Young Academy, AAAS, and INNS.
Recent publications
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Rewrite the Stars
Citation: Xu Ma , Xiyang Dai, Yue Bai, Yizhou Wang , Yun Fu . (2024). Rewrite the Stars CVPR, 5694-5703. https://doi.org/10.1109/CVPR52733.2024.00544 -
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering
Citation: Zaid Khan , Yun Fu . (2024). Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering CVPR, 10854-10863. https://doi.org/10.1109/CVPR52733.2024.01032 -
SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution
Citation: Xiaotong Luo, Yuan Xie , Yanyun Qu, Yun Fu . (2024). SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution AAAI, 4017-4025. https://doi.org/10.1609/aaai.v38i5.28195 -
Adaptive Trajectory Prediction via Transferable GNN
Citation: Yi Xu , Lichen Wang, Yizhou Wang , Yun Fu . (2022). Adaptive Trajectory Prediction via Transferable GNN CVPR, 6510-6521. https://doi.org/10.1109/CVPR52688.2022.00641 -
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution
Citation: Bin Sun , Yulun Zhang, Songyao Jiang, Yun Fu . (2023). Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution AAAI, 2375-2383. https://ojs.aaai.org/index.php/AAAI/article/view/25333 -
Layout Representation Learning with Spatial and Structural Hierarchies
Citation: Yue Bai, Dipu Manandhar, Zhaowen Wang, John P. Collomosse, Yun Fu . (2023). Layout Representation Learning with Spatial and Structural Hierarchies AAAI, 206-214. https://ojs.aaai.org/index.php/AAAI/article/view/25092 -
NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation
Citation: Yu Yin, Kamran Ghasedi, HsiangTao Wu, Jiaolong Yang, Xin Tong , Yun Fu . (2023). NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation CVPR, 8539-8548. https://doi.org/10.1109/CVPR52729.2023.00825 -
Real-Time Neural Light Field on Mobile Devices
Citation: Junli Cao, Huan Wang, Pavlo Chemerys, Vladislav Shakhrai, Ju Hu, Yun Fu , Denys Makoviichuk, Sergey Tulyakov, Jian Ren. (2023). Real-Time Neural Light Field on Mobile Devices CVPR, 8328-8337. https://doi.org/10.1109/CVPR52729.2023.00805 -
AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution
Citation: Xiaotong Luo, Zekun Ai, Qiuyuan Liang, Ding Liu, Yuan Xie , Yanyun Qu, Yun Fu . (2024). AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution AAAI, 4009-4016. https://doi.org/10.1609/aaai.v38i5.28194 -
Towards Layer-wise Image Vectorization
Citation: Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun , Valerii Filev, Nikita Orlov, Yun Fu , Humphrey Shi. (2022). Towards Layer-wise Image Vectorization CVPR, 16293-16302. https://doi.org/10.1109/CVPR52688.2022.01583 -
Learning to Learn across Diverse Data Biases in Deep Face Recognition
Citation: Chang Liu , Xiang Yu , Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu . (2022). Learning to Learn across Diverse Data Biases in Deep Face Recognition CVPR, 4062-4072. https://doi.org/10.1109/CVPR52688.2022.00404 -
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts
Citation: Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu , Tomas Pfister. (2022). Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts AAAI, 1341-1349. https://ojs.aaai.org/index.php/AAAI/article/view/20022
