| Gemini: a family of highly capable multimodal models Gemini_Team https://storage.googleapis.com/deepmind-media/gemini/gemini_1_report.pdf, 2024 | 3311* | 2024 |
| Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Y He, G Kang, X Dong, Y Fu, Y Yang International Joint Conference on Artificial Intelligence (IJCAI), 2018 | 1272 | 2018 |
| NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size X Dong, L Liu, K Musial, B Gabrys IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 | 1008* | 2021 |
| Searching for A Robust Neural Architecture in Four GPU Hours X Dong, Y Yang Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 774 | 2019 |
| A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification Y Lin, X Dong, L Zheng, Y Yan, Y Yang AAAI Conference on Artificial Intelligence (AAAI), 2019 | 606 | 2019 |
| Symbolic discovery of optimization algorithms X Chen, C Liang, D Huang, E Real, K Wang, H Pham, X Dong, T Luong, ... Advances in neural information processing systems 36, 49205-49233, 2023 | 470 | 2023 |
| Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning Y Wu, Y Lin, X Dong, Y Yan, W Ouyang, Y Yang Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 445 | 2018 |
| Style Aggregated Network for Facial Landmark Detection X Dong, Y Yan, W Ouyang, Y Yang Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 399 | 2018 |
| More is Less: A More Complicated Network with Less Inference Complexity X Dong, J Huang, Y Yang, S Yan Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 384 | 2017 |
| Network Pruning via Transformable Architecture Search X Dong, Y Yang Neural Information Processing Systems (NeurIPS), 2019 | 328 | 2019 |
| Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification R Quan, X Dong, Y Wu, L Zhu, Y Yang Proc. of IEEE International Conference on Computer Vision (ICCV), 2019 | 305 | 2019 |
| Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors X Dong, SI Yu, X Weng, SE Wei, Y Yang, Y Sheikh Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 248 | 2018 |
| Progressive Learning for Person Re-Identification with One Example Y Wu, Y Lin, X Dong, Y Yan, W Bian, Y Yang IEEE Transactions on Image Processing (TIP), 2019 | 228 | 2019 |
| One-Shot Neural Architecture Search via Self-Evaluated Template Network X Dong, Y Yang Proc. of IEEE International Conference on Computer Vision (ICCV), 2019 | 228 | 2019 |
| Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks Y He, X Dong, G Kang, Y Fu, C Yan, Y Yang IEEE Transactions on Cybernetics, 2019 | 206 | 2019 |
| Few-Example Object Detection with Model Communication X Dong, L Zheng, F Ma, Y Yang, D Meng IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 41 (7 …, 2019 | 204 | 2019 |
| Self-paced Co-training F Ma, D Meng, Q Xie, Z Li, X Dong International Conference on Machine Learning (ICML), 2275-2284, 2017 | 171 | 2017 |
| Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version RG Cirstea, C Guo, B Yang, T Kieu, X Dong, S Pan International Joint Conference on Artificial Intelligence (IJCAI), 2022 | 148 | 2022 |
| Doremi: Optimizing data mixtures speeds up language model pretraining SM Xie, H Pham, X Dong, N Du, H Liu, Y Lu, PS Liang, QV Le, T Ma, ... Advances in Neural Information Processing Systems 36, 69798-69818, 2023 | 143 | 2023 |
| Patchshuffle regularization G Kang, X Dong, L Zheng, Y Yang arXiv preprint arXiv:1707.07103, 2017 | 143 | 2017 |
Quoc V. LeResearch Scientist, GoogleAdresă de e-mail confirmată pe stanford.edu