| Adversarially robust neural architectures M Dong, Y Li, Y Wang, C Xu arXiv preprint arXiv:2009.00902, 2020 | 38 | 2020 |
| Adversarial recurrent time series imputation S Yang, M Dong, Y Wang, C Xu IEEE Transactions on Neural Networks and Learning Systems 34 (4), 1639-1650, 2020 | 35 | 2020 |
| Neural architecture search in a proxy validation loss landscape Y Li, M Dong, Y Wang, C Xu International Conference on Machine Learning, 5853-5862, 2020 | 30 | 2020 |
| An empirical study of adder neural networks for object detection X Chen, C Xu, M Dong, C Xu, Y Wang Advances in Neural Information Processing Systems 34, 6894-6905, 2021 | 19 | 2021 |
| Towards stable and robust addernets M Dong, Y Wang, X Chen, C Xu Advances in Neural Information Processing Systems 34, 13255-13265, 2021 | 12 | 2021 |
| AMD: Autoregressive Motion Diffusion B Han, H Peng, M Dong, Y Ren, Y Shen, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2022-2030, 2024 | 9 | 2024 |
| Dual focal loss for calibration L Tao, M Dong, C Xu International Conference on Machine Learning, 33833-33849, 2023 | 9 | 2023 |
| Skeleton-based human motion prediction with privileged supervision M Dong, C Xu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 9 | 2022 |
| On Retrospecting Human Dynamics with Attention. M Dong, C Xu IJCAI, 708-714, 2019 | 9 | 2019 |
| Random normalization aggregation for adversarial defense M Dong, X Chen, Y Wang, C Xu Advances in Neural Information Processing Systems 35, 33676-33688, 2022 | 8 | 2022 |
| Boosting semi-supervised semantic segmentation with probabilistic representations H Xie, C Wang, M Zheng, M Dong, S You, C Fu, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 37 (3), 2938-2946, 2023 | 6 | 2023 |
| Adversarial robustness via random projection filters M Dong, C Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| A benchmark study on calibration L Tao, Y Zhu, H Guo, M Dong, C Xu arXiv preprint arXiv:2308.11838, 2023 | 4 | 2023 |
| Neural architecture search via proxy validation Y Li, M Dong, Y Wang, C Xu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7595-7610, 2022 | 4 | 2022 |
| Spatial-channel token distillation for vision mlps Y Li, X Chen, M Dong, Y Tang, Y Wang, C Xu International Conference on Machine Learning, 12685-12695, 2022 | 4 | 2022 |
| Neural architecture search for wide spectrum adversarial robustness Z Cheng, Y Li, M Dong, X Su, S You, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 442-451, 2023 | 3 | 2023 |
| Calibrating a deep neural network with its predecessors L Tao, M Dong, D Liu, C Sun, C Xu arXiv preprint arXiv:2302.06245, 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 |
| Crafting Efficient Neural Graph of Large Entropy. M Dong, H Chen, Y Wang, C Xu IJCAI, 2244-2250, 2019 | 3 | 2019 |
| Spatial–temporal attention-based human dynamics retrospection M Dong, C Xu IEEE Access 7, 107300-107310, 2019 | 3 | 2019 |
