| Pre-trained image processing transformer H Chen, Y Wang, T Guo, C Xu, Y Deng, Z Liu, S Ma, C Xu, C Xu, W Gao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 1560 | 2021 |
| On positive-unlabeled classification in GAN T Guo, C Xu, J Huang, Y Wang, B Shi, C Xu, D Tao Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 58 | 2020 |
| Reinforced multi-label image classification by exploring curriculum S He, C Xu, T Guo, C Xu, D Tao Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 39 | 2018 |
| Robust student network learning T Guo, C Xu, S He, B Shi, C Xu, D Tao IEEE transactions on neural networks and learning systems 31 (7), 2455-2468, 2019 | 38 | 2019 |
| Learning student networks in the wild H Chen, T Guo, C Xu, W Li, C Xu, C Xu, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 31 | 2021 |
| Adversarial robustness through disentangled representations S Yang, T Guo, Y Wang, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3145-3153, 2021 | 28 | 2021 |
| Learning student networks with few data S Kong, T Guo, S You, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4469-4476, 2020 | 13 | 2020 |
| Learning from bad data via generation T Guo, C Xu, B Shi, C Xu, D Tao NeurIPS 2019, 2019 | 10 | 2019 |
| PanGu-: Enhancing Language Model Architectures via Nonlinearity Compensation Y Wang, H Chen, Y Tang, T Guo, K Han, Y Nie, X Wang, H Hu, Z Bai, ... arXiv preprint arXiv:2312.17276, 2023 | 5 | 2023 |
| Smooth deep image generator from noises T Guo, C Xu, B Shi, C Xu, D Tao Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3731-3738, 2019 | 5 | 2019 |
| Optimizing Latent Distributions for Non-Adversarial Generative Networks. T Guo, C Xu, B Shi, C Xu, D Tao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 3 | 2020 |
| Deep Plug-and-Play Clustering with Unknown Number of Clusters A Xiao, H Chen, T Guo, Q Zhang, Y Wang Transactions on Machine Learning Research, 2022 | 2 | 2022 |
| PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference X Wang, H Chen, T Guo, Y Wang Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Data-free distillation of language model by text-to-text transfer Z Bai, X Liu, H Hu, T Guo, Q Zhang, Y Wang arXiv preprint arXiv:2311.01689, 2023 | 1 | 2023 |
| Towards Higher Ranks via Adversarial Weight Pruning Y Tian, H Chen, T Guo, C Xu, Y Wang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation X Ma, Y Wang, H Liu, T Guo, Y Wang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models Y Nie, W He, K Han, Y Tang, T Guo, F Du, Y Wang arXiv preprint arXiv:2312.00674, 2023 | | 2023 |
| Supplementary Material of On Positive-Unlabeled Classification in GAN T Guo, C Xu, J Huang, Y Wang, B Shi, C Xu, D Tao | | |
Chang XuUniversity of SydneyVerified email at sydney.edu.au
