RAILS: A robust adversarial immune-inspired learning system R Wang, T Chen, SM Lindsly, CM Stansbury, A Rehemtulla, I Rajapakse, ... IEEE Access 10, 22061-22078, 2022 | 6 | 2022 |
Ask: Adversarial soft k-nearest neighbor attack and defense R Wang, T Chen, P Yao, S Liu, I Rajapakse, AO Hero IEEE Access 10, 103074-103088, 2022 | 4 | 2022 |
Beta diffusion M Zhou, T Chen, Z Wang, H Zheng Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Learning to jump: Thinning and thickening latent counts for generative modeling T Chen, M Zhou International Conference on Machine Learning, 5367-5382, 2023 | 3 | 2023 |
Immuno-mimetic deep neural networks (immuno-net) R Wang, T Chen, S Lindsly, C Stansbury, I Rajapakse, A Hero arXiv preprint arXiv:2107.02842, 2021 | 3 | 2021 |
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts T Chen, Y Liu, Z Wang, J Yuan, Q You, H Yang, M Zhou arXiv preprint arXiv:2312.01408, 2023 | 2 | 2023 |
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference S Yang, T Chen, M Zhou arXiv preprint arXiv:2402.08265, 2024 | 1 | 2024 |
Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements R Wang, T Chen, Z Xu, P Gao 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1656-1660, 2021 | | 2021 |
Deep Adversarially-Enhanced k-Nearest Neighbors R Wang, T Chen, A Hero arXiv preprint arXiv:2108.06797, 2021 | | 2021 |