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!
(†Interns or Students, *Equal Contribution)
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]
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]
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
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]
PC Member | Reviewer