caoyue10 AT gmail DOT com
Yue Cao is currently a PhD candidate in Institute of Information System and Engineering, School of Software, Tsinghua University, under supervision of Prof. Jianmin Wang and Prof. Mingsheng Long. He received his bachelor degree of Science majoring in Computer Software in Tsinghua University in July, 2014. His research interests are Deep Learning and Computer Vision.
Deep Learning to Hash baselines could be found at Github.
2018.07 Our two papers got accepted by ECCV and ACMMM 2018.
2018.02 Our two papers got accepted by CVPR 2018.
2017.11 Our paper "Unsupervised Domain Adaptation with Distribution Matching Machines" got accepted by AAAI 2018.
Spatial-Temporal Relation Networks for Multi-Object Tracking
Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu
Arxiv Tech Report, 2019 [PDF]
Transferable Representation Learning with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018 [PDF]
HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [PDF] [Code@Github]
Deep Visual-Semantic Quantization for Efficient Image Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 [PDF] [Code@Github]
Composite Correlation Quantization for Efficient Multimodal Retrieval
Mingsheng Long, Yue Cao, Jianmin Wang, Philip S. Yu
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016 [PDF][Code]
Deep Learning of Transferable Representation for Scalable Domain Adaptation
Mingsheng Long, Jianmin Wang, Yue Cao, Jiaguang Sun, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016 [PDF]
Deep Quantization Network for Efficient Image Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen
AAAI Conference on Artificial Intelligence (AAAI), 2016 [PDF] [Slides] [Code@Github] Oral
Tsinghua Top Grade Scholarship (清华大学特等奖学金) (10 graduates per year), 2018
Tsinghua Lin Feng Counsellor Prize (清华大学林枫辅导员奖) (10 graduates per year), 2018
Microsoft Research Asia PhD Fellowship, 2017
National Scholarship, Tsinghua University, 2016, 2017, 2018
SIGKDD Student Travel Award, 2016
Glodon Scholarship, Tsinghua University, 2015