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, Multimodal Learning and Large Scale Similarity Search.
Deep Learning, Multimodal Learning, Large Scale Similarity Search
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.
Journal Articles
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 (accepted)
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
Conference Proceedings
Cross-Modal Hamming Hashing
Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang
Europe Conference on Computer Vision (ECCV), 2018 [PDF]
Deep Triplet Quantization
Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang
ACM Multimedia Conference (ACMMM), 2018 (oral) [PDF] [Code@Github]
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 Cauchy Hashing for Hamming Space Retrieval
Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[PDF] [Code@Github]
Unsupervised Domain Adaptation with Distribution Matching Machines
Yue Cao, Mingsheng Long, Jianmin Wang
AAAI Conference on Artificial Intelligence (AAAI), 2018
[PDF]
Correlation Hashing Network for Efficient Cross-Modal Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
28th British Machine Vision Conference (BMVC), 2017
[PDF]
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]
Collective Deep Quantization for Efficient Cross-Modal Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
AAAI Conference on Artificial Intelligence (AAAI), 2017
[PDF] [Code@Github]
Deep Visual-Semantic Hashing for Cross-Modal Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016 [PDF]
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]
Correlation Autoencoder Hashing for Supervised Cross-Modal Search
Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
ACM International Conference on Multimedia Retrieval (ICMR), 2016
[PDF] [Slides] (oral)
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)
Deep Hashing Network for Efficient Similarity Retrieval
Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
AAAI Conference on Artificial Intelligence (AAAI), 2016
[PDF] [Code@Github]
Cleaning Timestamps with Temporal Constraints
Shaoxu Song, Yue Cao, Jianmin Wang
International Conference on Very Large Data Bases (VLDB), 2016
[PDF] (oral)
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan
International Conference on Machine Learning (ICML), 2015
[PDF] [Code@Github]
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