| A foundation model for atomistic materials chemistry I Batatia, P Benner, Y Chiang, AM Elena, DP Kovács, J Riebesell, ... arXiv preprint arXiv:2401.00096, 2023 | 224 | 2023 |
| Glit: Neural architecture search for global and local image transformer B Chen, P Li, C Li, B Li, L Bai, C Lin, M Sun, J Yan, W Ouyang Proceedings of the IEEE/CVF International Conference on Computer Vision, 12-21, 2021 | 128 | 2021 |
| Designing bert for convolutional networks: Sparse and hierarchical masked modeling K Tian, Y Jiang, Q Diao, C Lin, L Wang, Z Yuan arXiv preprint arXiv:2301.03580, 2023 | 127 | 2023 |
| Graph inductive biases in transformers without message passing L Ma, C Lin, D Lim, A Romero-Soriano, PK Dokania, M Coates, P Torr, ... International Conference on Machine Learning, 23321-23337, 2023 | 114 | 2023 |
| Online hyper-parameter learning for auto-augmentation strategy C Lin, M Guo, C Li, X Yuan, W Wu, J Yan, D Lin, W Ouyang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 107 | 2019 |
| Improving one-shot nas by suppressing the posterior fading X Li, C Lin, C Li, M Sun, W Wu, J Yan, W Ouyang Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2020 | 90 | 2020 |
| Am-lfs: Automl for loss function search C Li, X Yuan, C Lin, M Guo, W Wu, J Yan, W Ouyang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 90 | 2019 |
| Detr for crowd pedestrian detection M Lin, C Li, X Bu, M Sun, C Lin, J Yan, W Ouyang, Z Deng arXiv preprint arXiv:2012.06785, 2020 | 72 | 2020 |
| Improving auto-augment via augmentation-wise weight sharing K Tian, C Lin, M Sun, L Zhou, J Yan, W Ouyang Advances in Neural Information Processing Systems 33, 19088-19098, 2020 | 57 | 2020 |
| Evolving search space for neural architecture search Y Ci, C Lin, M Sun, B Chen, H Zhang, W Ouyang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 54 | 2021 |
| Psvit: Better vision transformer via token pooling and attention sharing B Chen, P Li, B Li, C Li, L Bai, C Lin, M Sun, J Yan, W Ouyang arXiv preprint arXiv:2108.03428, 2021 | 47 | 2021 |
| Once quantization-aware training: High performance extremely low-bit architecture search M Shen, F Liang, R Gong, Y Li, C Li, C Lin, F Yu, J Yan, W Ouyang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 46 | 2021 |
| Bn-nas: Neural architecture search with batch normalization B Chen, P Li, B Li, C Lin, C Li, M Sun, J Yan, W Ouyang Proceedings of the IEEE/CVF international conference on computer vision, 307-316, 2021 | 45 | 2021 |
| Inception convolution with efficient dilation search J Liu, C Li, F Liang, C Lin, M Sun, J Yan, W Ouyang, D Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 45 | 2021 |
| Computation reallocation for object detection F Liang, C Lin, R Guo, M Sun, W Wu, J Yan, W Ouyang arXiv preprint arXiv:1912.11234, 2019 | 40 | 2019 |
| Synaptic strength for convolutional neural network C Lin, Z Zhong, W Wei, J Yan advances in neural information processing systems 31, 2018 | 37 | 2018 |
| Powering one-shot topological nas with stabilized share-parameter proxy R Guo, C Lin, C Li, K Tian, M Sun, L Sheng, J Yan European conference on computer vision, 625-641, 2020 | 21 | 2020 |
| A continuous mapping for augmentation design K Tian, C Lin, SN Lim, W Ouyang, P Dokania, P Torr Advances in Neural Information Processing Systems 34, 13732-13743, 2021 | 5 | 2021 |
| Locr: Location-guided transformer for optical character recognition Y Sun, D Zhou, C Lin, C He, W Ouyang, HS Zhong arXiv preprint arXiv:2403.02127, 2024 | 4 | 2024 |
| Towards Flexible, Efficient, and Effective Tensor Product Networks N Wang, C Lin, M Bronstein, P Torr NeurIPS 2023 GLFrontier Workshop, 2023 | 2 | 2023 |
