| 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 | 726 | 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 | 655 | 2019 |
| Accurate medium-range global weather forecasting with 3D neural networks K Bi, L Xie, H Zhang, X Chen, X Gu, Q Tian Nature 619 (7970), 533-538, 2023 | 97 | 2023 |
| 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 | 87 | 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 | 82 | 2017 |
| 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 | 77 | 2021 |
| 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 | 71 | 2021 |
| 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 | 57 | 2022 |
| 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 | 57 | 2019 |
| Circumventing outliers of autoaugment with knowledge distillation L Wei, A Xiao, L Xie, X Zhang, X Chen, Q Tian European Conference on Computer Vision, 608-625, 2020 | 53 | 2020 |
| 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 | 51 | 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 | 50 | 2019 |
| Gold-nas: Gradual, one-level, differentiable K Bi, L Xie, X Chen, L Wei, Q Tian arXiv preprint arXiv:2007.03331, 2020 | 39 | 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 | 36 | 2018 |
| 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 | 32 | 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 | 23 | 2016 |
| 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 | 18 | 2021 |
| Multi-gait recognition using hypergraph partition X Chen, J Xu, J Weng Machine Vision and Applications 28, 117-127, 2017 | 18 | 2017 |
| Heterogeneous contrastive learning: Encoding spatial information for compact visual representations X Huo, L Xie, L Wei, X Zhang, X Chen, H Li, Z Yang, W Zhou, H Li, Q Tian IEEE Transactions on Multimedia 24, 4224-4235, 2021 | 10 | 2021 |
| Cyclic CNN: image classification with multiscale and multilocation contexts X Chen, L Xie, J Wu, Q Tian IEEE Internet of Things Journal 8 (9), 7466-7475, 2020 | 10 | 2020 |
Qi Tian, Chief Scientist in Artificial Intel...Huawei CloudVerified email at huawei.com
