(^†Interns or Students, *Equal Contribution)

1. VL-BERT: Pre-training of Generic Visual-Linguistic Representations
   Weijie Su*^†, Xizhou Zhu*^†, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai
   Arxiv Tech Report, 2019 [PDF]

2. GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
   Yue Cao*, Jiarui Xu*, Stephen Lin, Fangyun Wei, Han Hu
   International Conference on Computer Vision Workshop on Neural Architects (ICCVW), 2019 [PDF] [Code] [Code@mmdet]

3. Spatial-Temporal Relation Networks for Multi-Object Tracking
   Jiarui Xu^†, Yue Cao, Zheng Zhang, Han Hu
   International Conference on Computer Vision (ICCV), 2019 [PDF]

4. Max-Margin Hamming Hashing
   Rong Kang^†, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
   International Conference on Computer Vision (ICCV), 2019 [PDF]

5. Deep Triplet Quantization
   Bin Liu^†, Yue Cao, Mingsheng Long, Jianmin Wang
   ACM Multimedia Conference (ACMMM), 2018 [PDF] [Code@Github] Oral

6. Cross-Modal Hamming Hashing
   Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang
   Europe Conference on Computer Vision (ECCV), 2018 [PDF]

7. 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]

8. 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]

9. 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]

10. Unsupervised Domain Adaptation with Distribution Matching Machines
    Yue Cao, Mingsheng Long, Jianmin Wang
    AAAI Conference on Artificial Intelligence (AAAI), 2018 [PDF]

11. 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]

12. 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]

13. 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]

14. 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]

15. 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]

16. 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

17. 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]

18. 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

19. 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]

20. Cleaning Timestamps with Temporal Constraints
    Shaoxu Song, Yue Cao, Jianmin Wang
    International Conference on Very Large Data Bases (VLDB), 2016 [PDF] Oral

21. 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]