| A survey on vision transformer K Han, Y Wang, H Chen, X Chen, J Guo, Z Liu, Y Tang, A Xiao, C Xu, ... TPAMI 2022, 2020 | 2357* | 2020 |
| SCOP: Scientific Control for Reliable Neural Network Pruning Y Tang, Y Wang, Y Xu, D Tao, C Xu, C Xu, C Xu NeurIPS 2020, 2020 | 184 | 2020 |
| Source-Free Domain Adaptation via Distribution Estimation N Ding, Y Xu, Y Tang, C Xu, Y Wang, D Tao CVPR 2022, 7212-7222, 2022 | 125 | 2022 |
| Manifold regularized dynamic network pruning Y Tang, Y Wang, Y Xu, Y Deng, C Xu, D Tao, C Xu CVPR 2021, 2021 | 118 | 2021 |
| Renas: Relativistic evaluation of neural architecture search Y Xu, Y Wang, K Han, S Jui, C Xu, Q Tian, C Xu CVPR 2021, oral, 2019 | 97 | 2019 |
| A semi-supervised assessor of neural architectures Y Tang, Y Wang, Y Xu, H Chen, B Shi, C Xu, C Xu, Q Tian, C Xu CVPR 2020, 1810-1819, 2020 | 75 | 2020 |
| Multi-Positive and Unlabeled Learning. Y Xu, C Xu, C Xu, D Tao IJCAI, 3182-3188, 2017 | 72 | 2017 |
| Positive-unlabeled compression on the cloud Y Xu, Y Wang, H Chen, K Han, C Xu, D Tao, C Xu NeurIPS 2019, 2019 | 63 | 2019 |
| Training binary neural networks through learning with noisy supervision K Han, Y Wang, Y Xu, C Xu, E Wu, C Xu ICML 2020, 4017-4026, 2020 | 59 | 2020 |
| Learning frequency domain approximation for binary neural networks Y Xu, K Han, C Xu, Y Tang, C Xu, Y Wang NeurIPS 2021, oral, 2021 | 57 | 2021 |
| Kernel based progressive distillation for adder neural networks Y Xu, C Xu, X Chen, W Zhang, C Xu, Y Wang NeurIPS 2020, spotlight, 2020 | 50 | 2020 |
| Beyond dropout: Feature map distortion to regularize deep neural networks Y Tang, Y Wang, Y Xu, B Shi, C Xu, C Xu, C Xu AAAI 2020 34 (04), 5964-5971, 2020 | 40 | 2020 |
| A survey on visual transformer. arXiv 2020 K Han, Y Wang, H Chen, X Chen, J Guo, Z Liu, Y Tang, A Xiao, C Xu, ... arXiv preprint arXiv:2012.12556, 2022 | 28 | 2022 |
| Federated learning with positive and unlabeled data X Lin, H Chen, Y Xu, C Xu, X Gui, Y Deng, Y Wang International Conference on Machine Learning, 13344-13355, 2022 | 21 | 2022 |
| VEGA: Towards an End-to-End Configurable AutoML Pipeline B Wang, H Xu, J Zhang, C Chen, X Fang, Y Xu, N Kang, L Hong, C Jiang, ... arXiv preprint arXiv:2011.01507, 2020 | 15 | 2020 |
| BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons Y Xu, X Chen, Y Wang NeurIPS 2022 (Spotlight), 2022 | 6 | 2022 |
| Dc-nas: Divide-and-conquer neural architecture search Y Wang, Y Xu, D Tao arXiv preprint arXiv:2005.14456, 2020 | 6 | 2020 |
| Fdvit: Improve the hierarchical architecture of vision transformer Y Xu, C Li, D Li, X Sheng, F Jiang, L Tian, A Sirasao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Neural architecture tuning with policy adaptation Y Li, M Dong, Y Xu, Y Wang, C Xu Neurocomputing 485, 196-204, 2022 | 3 | 2022 |
| Full-stack filters to build minimum viable cnns K Han, Y Wang, Y Xu, C Xu, D Tao, C Xu arXiv preprint arXiv:1908.02023, 2019 | 3 | 2019 |
Yunhe Wang (王云鹤)Research Scientist, Senior IEEE Member, Huawei TechnologiesVerified email at huawei.com
