| Pc-darts: Partial channel connections for memory-efficient architecture search Y Xu, L Xie, X Zhang, X Chen, GJ Qi, Q Tian, H Xiong arXiv preprint arXiv:1907.05737, 2019 | 619 | 2019 |
| Progressive differentiable architecture search: Bridging the depth gap between search and evaluation X Chen, L Xie, J Wu, Q Tian Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 571 | 2019 |
| Hydrothermal syntheses of gold nanocrystals: from icosahedral to its truncated form J Xu, S Li, J Weng, X Wang, Z Zhou, K Yang, M Liu, X Chen, Q Cui, M Cao, ... Advanced Functional Materials 18 (2), 277-284, 2008 | 119 | 2008 |
| Multi-gait recognition based on attribute discovery X Chen, J Weng, W Lu, J Xu IEEE transactions on pattern analysis and machine intelligence 40 (7), 1697-1710, 2017 | 85 | 2017 |
| Deep manifold learning combined with convolutional neural networks for action recognition X Chen, J Weng, W Lu, J Xu, J Weng IEEE transactions on neural networks and learning systems 29 (9), 3938-3952, 2017 | 72 | 2017 |
| Weight-sharing neural architecture search: A battle to shrink the optimization gap L Xie, X Chen, K Bi, L Wei, Y Xu, L Wang, Z Chen, A Xiao, J Chang, ... ACM Computing Surveys (CSUR) 54 (9), 1-37, 2021 | 60 | 2021 |
| Progressive darts: Bridging the optimization gap for nas in the wild X Chen, L Xie, J Wu, Q Tian International Journal of Computer Vision 129, 638-655, 2021 | 59 | 2021 |
| Formation of poly (L, D-lactide) spheres with controlled size by direct dialysis M Liu, Z Zhou, X Wang, J Xu, K Yang, Q Cui, X Chen, M Cao, J Weng, ... Polymer 48 (19), 5767-5779, 2007 | 55 | 2007 |
| Data augmentation revisited: Rethinking the distribution gap between clean and augmented data Z He, L Xie, X Chen, Y Zhang, Y Wang, Q Tian arXiv preprint arXiv:1909.09148, 2019 | 50 | 2019 |
| Gait recognition based on capsule network Z Xu, W Lu, Q Zhang, Y Yeung, X Chen Journal of Visual Communication and Image Representation 59, 159-167, 2019 | 46 | 2019 |
| Stabilizing darts with amended gradient estimation on architectural parameters K Bi, C Hu, L Xie, X Chen, L Wei, Q Tian arXiv preprint arXiv:1910.11831, 2019 | 43 | 2019 |
| Circumventing outliers of autoaugment with knowledge distillation L Wei, A Xiao, L Xie, X Zhang, X Chen, Q Tian Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 42 | 2020 |
| Feedback weight convolutional neural network for gait recognition H Wu, J Weng, X Chen, W Lu Journal of visual communication and image representation 55, 424-432, 2018 | 33 | 2018 |
| Syntheses, properties and electrochemical activity of carbon microtubes modified with amino groups X Wang, X Liu, L Lai, S Li, J Weng, Z Zhou, Q Cui, X Chen, M Cao, ... Advanced Functional Materials 18 (12), 1809-1823, 2008 | 32 | 2008 |
| Gold-nas: Gradual, one-level, differentiable K Bi, L Xie, X Chen, L Wei, Q Tian arXiv preprint arXiv:2007.03331, 2020 | 31 | 2020 |
| Latency-aware differentiable neural architecture search Y Xu, L Xie, X Zhang, X Chen, B Shi, Q Tian, H Xiong arXiv preprint arXiv:2001.06392, 2020 | 30 | 2020 |
| Uncooperative gait recognition: Re-ranking based on sparse coding and multi-view hypergraph learning X Chen, J Xu Pattern Recognition 53, 116-129, 2016 | 22 | 2016 |
| Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast K Bi, L Xie, H Zhang, X Chen, X Gu, Q Tian arXiv preprint arXiv:2211.02556, 2022 | 18 | 2022 |
| Multi-gait recognition using hypergraph partition X Chen, J Xu, J Weng Machine Vision and Applications 28, 117-127, 2017 | 18 | 2017 |
| Fitting the search space of weight-sharing nas with graph convolutional networks X Chen, L Xie, J Wu, L Wei, Y Xu, Q Tian Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7064-7072, 2021 | 13 | 2021 |
Qi Tian, Chief Scientist in Artificial Intel...Huawei Cloud在 huawei.com 的电子邮件经过验证
