| Sketchmate: Deep hashing for million-scale human sketch retrieval P Xu, Y Huang, T Yuan, K Pang, YZ Song, T Xiang, TM Hospedales, Z Ma, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 140 | 2018 |
| Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning T Yuan, W Deng, J Tang, Y Tang, B Chen IEEE Computer Vision and Pattern Recognition (CVPR'2019), 2019 | 96 | 2019 |
| Bridging the gap between semantic segmentation and instance segmentation C Yin, J Tang, T Yuan, Z Xu, Y Wang IEEE Transactions on Multimedia 24, 4183-4196, 2021 | 30 | 2021 |
| An actor-critic-based transfer learning framework for experience-driven networking Z Xu, D Yang, J Tang, Y Tang, T Yuan, Y Wang, G Xue IEEE/ACM Transactions on Networking 29 (1), 360-371, 2020 | 22 | 2020 |
| Flow splitter: A deep reinforcement learning-based flow scheduler for hybrid optical-electrical data center network Y Tang, H Guo, T Yuan, X Gao, X Hong, Y Li, J Qiu, Y Zuo, J Wu IEEE Access 7, 129955-129965, 2019 | 20 | 2019 |
| Unsupervised adaptive hashing based on feature clustering T Yuan, W Deng, J Hu, Z An, Y Tang Neurocomputing 323, 373-382, 2019 | 20 | 2019 |
| Deep transfer network with 3D morphable models for face recognition Z An, W Deng, T Yuan, J Hu 2018 13th ieee international conference on automatic face & gesture …, 2018 | 17 | 2018 |
| OEHadoop: accelerate Hadoop applications by co-designing Hadoop with data center network Y Tang, H Guo, T Yuan, Q Wu, X Li, C Wang, X Gao, J Wu IEEE Access 6, 25849-25860, 2018 | 13 | 2018 |
| Non-differentiable saddle points and sub-optimal local minima exist for deep ReLU networks B Liu, Z Liu, T Zhang, T Yuan Neural Networks 144, 75-89, 2021 | 12 | 2021 |
| On learning semantic representations for large-scale abstract sketches P Xu, Y Huang, T Yuan, T Xiang, TM Hospedales, YZ Song, L Wang IEEE Transactions on Circuits and Systems for Video Technology 31 (9), 3366-3379, 2020 | 11 | 2020 |
| Effectively reconfigure the optical circuit switching layer topology in data center network by OCBridge Y Tang, H Guo, Y Zhu, T Yuan, X Gao, C Wang, J Wu Journal of Lightwave Technology 37 (3), 897-908, 2018 | 10 | 2018 |
| Effective*-flow schedule for optical circuit switching based data center networks: A comprehensive survey Y Tang, T Yuan, B Liu, C Xiao Computer Networks 197, 108321, 2021 | 9 | 2021 |
| Distortion minimization hashing T Yuan, W Deng, J Hu IEEE Access 5, 23425-23435, 2017 | 7 | 2017 |
| On learning semantic representations for million-scale free-hand sketches P Xu, Y Huang, T Yuan, T Xiang, TM Hospedales, YZ Song, L Wang arXiv preprint arXiv:2007.04101, 2020 | 4 | 2020 |
| ARPruning: An automatic channel pruning based on attention map ranking T Yuan, Z Li, B Liu, Y Tang, Y Liu Neural Networks 174, 106220, 2024 | 3 | 2024 |
| UCF-Crime Annotation: A Benchmark for Surveillance Video-and-Language Understanding T Yuan, X Zhang, K Liu, B Liu, J Jin, Z Jiao arXiv preprint arXiv:2309.13925, 2023 | 3 | 2023 |
| Deep Metric Learning by Exploring Confusing Triplet Embeddings for COVID-19 Medical Images Diagnosis T Yuan, L Dong, B Liu, J Huang, C Xiao Workshop on Healthcare AI and COVID-19, 1-10, 2022 | 3 | 2022 |
| Explainable federated medical image analysis through causal learning and blockchain J Mu, M Kadoch, T Yuan, W Lv, Q Liu, B Li IEEE Journal of Biomedical and Health Informatics, 2024 | 2 | 2024 |
| Compound label learning for affective image content analysis Q Zhang, T Yuan CAAI International Conference on Artificial Intelligence, 380-391, 2022 | 2 | 2022 |
| Supervised hashing with extreme learning machine T Yuan, W Deng, J Hu 2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017 | 2 | 2017 |
