| Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling K Tian, Y Jiang, Q Diao, C Lin, L Wang, Z Yuan International Conference on Learning Representations 2023 (ICLR, Spotlight), 2023 | 54 | 2023 |
| 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 (NeurIPS, poster), 2020 | 43 | 2020 |
| 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 (ECCV, poster), 2020 | 19 | 2020 |
| Masked Molecule Modeling: A New Paradigm of Molecular Representation Learning for Chemistry Understanding J He, K Tian, S Luo, Y Min, S Zheng, Y Shi, D He, H Liu, N Yu, L Wang, ... | 4 | 2022 |
| Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket Z Zhou, K Che, W Fang, K Tian, Y Zhu, S Yan, Y Tian, L Yuan arXiv preprint arXiv:2401.02020, 2024 | 3 | 2024 |
| A Continuous Mapping For Augmentation Design K Tian, C Lin, SN Lim, W Ouyang, P Dokania, P Torr Advances in Neural Information Processing Systems (NeurIPS, poster), 2021 | 3 | 2021 |
| Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction K Tian, Y Jiang, Z Yuan, B Peng, L Wang arXiv preprint arXiv:2404.02905, 2024 | | 2024 |
| Unitention: Attend a sample to the dataset K Tian, L Chi, Y Jiang, C Lin, Y Tang, S Bai, Z Yuan, H Zhao | | 2023 |
| Nonlinear Signal Classification based on Wavelet Transform and Deep Belief Network K Hu, H Li, S Xu, K Tian, T Xu, D Zhao Journal of Physics: Conference Series 1948 (1), 012029, 2021 | | 2021 |
Chen LinTorr Vision Group, University of OxfordVerified email at eng.ox.ac.uk
