Reverse Engineering of Imperceptible Adversarial Image Perturbations Y Gong, Y Yao, Y Li, Y Zhang, X Liu, X Lin, S Liu ICLR 2022, 2022 | 26* | 2022 |
Less is More: Data Pruning for Faster Adversarial Training Y Li, P Zhao, X Lin, B Kailkhura, R Goldhahn AAAI's Workshop on Artificial Intelligence Safety: SafeAI 2023, 2023 | 9 | 2023 |
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models Y Li, Y Zhang, S Liu, X Lin arXiv preprint arXiv:2409.19128, 2024 | 3 | 2024 |
Neural architecture search for adversarial robustness via learnable pruning Y Li, P Zhao, R Ding, T Zhou, Y Fei, X Xu, X Lin Frontiers in High Performance Computing 2, 1301384, 2024 | 3 | 2024 |
Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed H Cheng, P Zhao, Y Li, X Lin, J Diffenderfer, R Goldhahn, B Kailkhura arXiv preprint arXiv:2209.12839, 2022 | 1 | 2022 |
HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates L Lu, Y Li, Y Wang, W Wang, W Jiang arXiv preprint arXiv:2502.07160, 2025 | | 2025 |