Yue Cao 曹越

Visual Computing Group
Microsoft Research Asia

caoyue10 AT gmail DOT com

Short Bio

Yue Cao is currently a researcher in Microsoft Research Asia, headed by Baining Guo and closely collaborated with Han Hu, Zheng Zhang and Steve Lin. Prior to that, he received both B.S. degree and Ph.D. degree from the School of Software, Tsinghua University with highest honors, under supervision of Prof. Jianmin Wang and Prof. Mingsheng Long in 2014 and 2019. During his Ph.D. study, he was a research intern in MSRA between 2018 and 2019, mentored by Jifeng Dai.


If you are interested in the internship, and joint Ph.D. program on deep learning, please drop me an email.

2020.09 Our PIC on unsupervised learning and Reppoints V2 got accepted by NeurIPS 2020, congrats!

2020.07 Three papers got accepted by ECCV 2020 with one spotlight, congrats!

2019.11 Our work on multi-modality pre-training (VL-BERT) was reviewed by Bill Gates and accepted by ICLR 2020.

2019.10 Our paper GCNet won the Best Paper Award at ICCV 2019 Neural Architects Workshop!

Selected Publications [Full List] [Google Scholar]

(Interns or Students, *Equal Contribution)

  1. Parametric Instance Classification for Unsupervised Visual Feature Learning
    Yue Cao*, Zhenda Xie*, Bin Liu*, Yutong Lin, Zheng Zhang, Han Hu
    Neural Information Processing Systems (NeurIPS), 2020 [PDF] [Post@Synced]

  2. VL-BERT: Pre-training of Generic Visual-Linguistic Representations
    Weijie Su*, Xizhou Zhu*, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai
    International Conference on Learning Representations (ICLR), 2020 [PDF] [Code@Github] [Post@Synced]

  3. GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
    Yue Cao*, Jiarui Xu*, Steve Lin, Fangyun Wei, Han Hu
    International Conference on Computer Vision Workshop (ICCVW), 2019
    [PDF] [Code@Github] [Code@mmdet] [Post@Synced] Best Paper Award

  4. 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]

  5. 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]

  6. 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]

  7. 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]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018 [PDF]

Honors and Awards

Professional Services

PC Member | Reviewer