Yizhou Yu

Yizhou Yu is a full professor in the Department of Computer Science at the University of Hong Kong. He was first a tenure-track and then a tenured professor at University of Illinois, Urbana-Champaign (UIUC) for 12 years. He received his PhD degree in computer science from the computer vision group at University of California, Berkeley. He also holds a MS degree in applied mathematics and a BE degree in computer science and engineering from Zhejiang University. He is currently an IEEE fellow and ACM distinguished member.

Prof Yu has made important contributions to AI and visual computing, including computer graphics, computer vision, medical image analysis, and machine learning. He is a recipient of 2002 US National Science Foundation CAREER Award, ACCV 2018 Best Application Paper Award, ACM SCA 2011 and 2005 Best Paper Awards, and 1998 Microsoft Graduate Fellowship. Technologies co-invented by him have been frequently adopted by the film and healthcare industries. He has more than 100 publications in top international conferences and journals, including AAAI, CVPR, ICCV, MICCAI, SIGGRAPH, TOG, TMI and TPAMI. His current research interests include deep learning, computer vision, AI for medicine, and computer graphics.

Education

• PhD University of California, Berkeley (1996 — 2000)
• BE and MS Zhejiang University (1988 — 1994)

Selected Publications

Hong-Yu Zhou, Chixiang Lu, Sibei Yang, and Yizhou Yu, ConvNets vs. Transformers: Whose Visual Representations Are More Transferable?, ICCV Workshop on Deep Multi-Task Learning in Computer Vision, October 2021.

Gangming Zhao, Weifeng Ge, and Yizhou Yu, GraphFPN: Graph Feature Pyramid Network for Object Detection, IEEE International Conference on Computer Vision (ICCV), October 2021.

Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, and Yizhou Yu, Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection, IEEE International Conference on Computer Vision (ICCV), October 2021.

Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, and Yizhou Yu, ME-PCN: Point Completion Conditioned on Mask Emptiness, IEEE International Conference on Computer Vision (ICCV), October 2021.

Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, and Yizhou Yu, Multi-scale Matching Networks for Semantic Correspondence, IEEE International Conference on Computer Vision (ICCV), October 2021.

Haoyu Ma#, Xiangru Lin#, Zifeng Wu, and Yizhou Yu, Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.

Jichang Li, Guanbin Li, Yemin Shi, and Yizhou Yu, Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.

Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, and Yizhou Yu, I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.

Xiangru Lin, Guanbin Li, and Yizhou Yu, Scene-Intuitive Agent for Remote Embodied Visual Grounding, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.

Sibei Yang#, Meng Xia#, Guanbin Li, Hong-Yu Zhou, and Yizhou Yu, Bottom-Up Shift and Reasoning for Referring Image Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.

Sibei Yang, Guanbin Li, and Yizhou Yu, Relationship-Embedded Representation Learning for Grounding Referring Expressions, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 43, No 8, pp.2765-2779, 2021.

Gangming Zhao#, Chaowei Fang#, Guanbin Li, Licheng Jiao, and Yizhou Yu, Contralaterally Enhanced Networks for Thoracic Disease Detection, IEEE Transactions on Medical Imaging (TMI), Vol 40, No 9, pp.2428-2438, 2021.

Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, and Yizhou Yu, A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation, IEEE Transactions on Medical Imaging (TMI), Vol 40, No 8, pp.2042-2052, 2021.

Le Fang, Yu Wu, Chuan Wu, and Yizhou Yu, A Non-Intrusive Elderly Home Monitoring System, IEEE Internet of Things Journal (JIOT), Vol 8, No 4, pp.2603-2614, 2021.

Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, and Mingli Song, Neural Style Transfer: A Review, IEEE Transactions on Visualizationa and Computer Graphics, Vol 26, No 11, pp.3365-3385, 2020. [BibTex]

Sibei Yang, Guanbin Li, and Yizhou Yu, Propagating Over Phrase Relations for One-Stage Visual Grounding, European Conference on Computer Vision (ECCV), Glasgow, August 2020.

Sibei Yang, Guanbin Li, and Yizhou Yu, Graph-Structured Referring Expression Reasoning in The Wild (Oral Paper), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, June 2020.

Chaowei Fang, Guanbin Li, Xiaoguang Han, and Yizhou Yu, Self-Enhanced Convolutional Network for Facial Video Hallucination, IEEE Transactions on Image Processing, Vol 29, pp.3078-3090, 2020.

Mengyang Feng, Huchuan Lu, and Yizhou Yu, Residual Learning for Salient Object Detection, IEEE Transactions on Image Processing (TIP), Vol 29, pp.4696-4708, 2020.

Q Yu#, Y Wang#, S Huang, S Liu, Z Zhou, S Zhang, Z Zhao, Yizhou Yu, Y Yang, and S Ju, Multicenter cohort study demonstrates more consolidation in upper lungs on initial CT increases the risk of adverse clinical outcome in COVID-19 patients, Theranostics, Vol 10, No 12, pp.5641-5648, 2020.

Y-C Wang, H Luo, S Liu, S Huang, Z Zhou, Q Yu, S Zhang, Z Zhao, Yizhou Yu, Y Yang, D Wang, and S Ju, Dynamic evolution of COVID-19 on chest computed tomography: experience from Jiangsu Province of China, European Radiology, 2020.

S Zhang, J Xu, Y-C Chen, J Ma, Z Li, Y Wang, and Yizhou Yu, Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, October 2020.

P Gong#, Z Yin#, Y Wang, and Yizhou Yu, Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, October 2020.

Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, and Yizhou Yu, Context-Aware Semantic Inpainting, IEEE Transactions on Cybernetics (TCyb), Vol 49, No 12, pp.4398-4411, 2019.

Haofeng Li, Guanqi Chen, Guanbin Li, and Yizhou Yu, Motion Guided Attention for Video Salient Object Detection, International Conference on Computer Vision (ICCV), Seoul, October 2019.

Sibei Yang, Guanbin Li, and Yizhou Yu, Dynamic Graph Attention for Referring Expression Comprehension (Oral Paper), International Conference on Computer Vision (ICCV), Seoul, October 2019.

J Liu#, G Zhao#, Y Fei, M Zhang, Y Wang, and Yizhou Yu, Align, Attend and Locate: Chest X-ray Diagnosis via Contrast Induced Attention Network with Limited Supervision, International Conference on Computer Vision (ICCV), Seoul, October 2019.

Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, and Liang Lin, Facial Landmark Machines: A Backbone-Branches Architecture With Progressive Representation Learning, IEEE Transactions on Multimedia (TMM), Vol 21, No 9, pp.2248-2262, 2019.

Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, and Yizhou Yu, A Benchmark for Edge-Preserving Image Smoothing, IEEE Transactions on Image Processing (TIP), Vol 28, No 7, pp.3556-3570, 2019.

Sibei Yang, Guanbin Li, and Yizhou Yu, Cross-Modal Relationship Inference for Grounding Referring Expressions, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, June 2019.

Weifeng Ge#, Xiangru Lin#, and Yizhou Yu, Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, June 2019.

Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, and Yizhou Yu, Multi-Source Weak Supervision for Saliency Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, June 2019.

C Fang, G Li, C Pan, Y Li, and Yizhou Yu, Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, October 2019.

Z Li#, S Zhang#, J Zhang, K Huang, Y Wang, and Yizhou Yu, MVPNet: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, October 2019.

Wei Zhang, Guanbin Li, FuyuWang, Longjiang E, Yizhou Yu, Liang Lin, and Huiying Liang, Simultaneous Lung Field Detection and Segmentation for Pediatric ChestRadiographs, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, October 2019.

Chaowei Fang, Zicheng Liao, and Yizhou Yu, Piecewise Flat Embedding for Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 41, No 6, pp.1470-1485, 2019.

Kan Wu, Guanbin Li, Haofeng Li, Jianjun Zhang, and Yizhou Yu, Harvesting Visual Objects from Internet Images via Deep-Learning-Based Objectness Assessment, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol 15, No 3, pp.72:1-72:23, 2019.

Xiang He#, Sibei Yang#, Guanbin Li, Haofeng Li, Huiyou Chang, and Yizhou Yu, Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks, The 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, January 2019.