| CNNpack: Packing Convolutional Neural Networks in the Frequency Domain. Y Wang, C Xu, S You, D Tao, C Xu NIPS 1, 3, 2016 | 119 | 2016 |
| The seventh visual object tracking vot2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 113 | 2019 |
| Learning from multiple teacher networks S You, C Xu, C Xu, D Tao Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 94 | 2017 |
| GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet S You, T Huang, M Yang, F Wang, C Qian, C Zhang The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020 | 31 | 2020 |
| Privileged multi-label learning S You, C Xu, Y Wang, C Xu, D Tao IJCAI 2017, 2017 | 29 | 2017 |
| DCT inspired feature transform for image retrieval and reconstruction Y Wang, M Shi, S You, C Xu IEEE Transactions on Image Processing 25 (9), 4406-4420, 2016 | 26 | 2016 |
| DCT regularized extreme visual recovery Y Wang, C Xu, S You, C Xu, D Tao IEEE Transactions on Image Processing 26 (7), 3360-3371, 2017 | 24 | 2017 |
| Learning with single-teacher multi-student S You, C Xu, C Xu, D Tao Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 11 | 2018 |
| Reborn filters: Pruning convolutional neural networks with limited data Y Tang, S You, C Xu, J Han, C Qian, B Shi, C Xu, C Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5972-5980, 2020 | 10 | 2020 |
| Bringing giant neural networks down to earth with unlabeled data Y Tang, S You, C Xu, B Shi, C Xu arXiv preprint arXiv:1907.06065, 2019 | 10 | 2019 |
| On the learnability of quantum neural networks Y Du, MH Hsieh, T Liu, S You, D Tao arXiv preprint arXiv:2007.12369, 2020 | 9 | 2020 |
| ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding Y Yang, H Li, S You, F Wang, C Qian, Z Lin Advances in neural information processing systems (NeurIPS), 2020, 2020 | 8 | 2020 |
| Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers Y Du, T Huang, S You, MH Hsieh, D Tao arXiv preprint arXiv:2010.10217, 2020 | 6 | 2020 |
| Learning student networks with few data S Kong, T Guo, S You, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4469-4476, 2020 | 6 | 2020 |
| Streaming label learning for modeling labels on the fly S You, C Xu, Y Wang, C Xu, D Tao arXiv preprint arXiv:1604.05449, 2016 | 5 | 2016 |
| Reinforced molecule generation with heterogeneous states F Shi, S You, C Xu 2019 IEEE International Conference on Data Mining (ICDM), 548-557, 2019 | 4 | 2019 |
| Fast compressive phase retrieval under bounded noise H Zhang, S You, Z Lin, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 4 | 2017 |
| Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space S Du, S You, X Li, J Wu, F Wang, C Qian, C Zhang Advances in Neural Information Processing Systems (NeurIPS) 2020, 2020 | 3 | 2020 |
| Parts for the whole: the dct norm for extreme visual recovery Y Wang, C Xu, S You, D Tao, C Xu arXiv preprint arXiv:1604.05451, 2016 | 3 | 2016 |
| Locally Free Weight Sharing for Network Width Search X Su, S You, T Huang, F Wang, C Qian, C Zhang, C Xu International Conference on Learning Representations (ICLR 2021 Spotlight), 2021 | 2 | 2021 |
Chang XuSenior Lecturer, University of SydneyVerified email at sydney.edu.au
