| Tensor FISTA-Net for real-time snapshot compressive imaging X Han, B Wu, Z Shou, XY Liu, Y Zhang, L Kong Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10933 …, 2020 | 34 | 2020 |
| How to robustify black-box ml models? a zeroth-order optimization perspective Y Zhang, Y Yao, J Jia, J Yi, M Hong, S Chang, S Liu arXiv preprint arXiv:2203.14195, 2022 | 19 | 2022 |
| Reverse engineering of imperceptible adversarial image perturbations Y Gong, Y Yao, Y Li, Y Zhang, X Liu, X Lin, S Liu arXiv preprint arXiv:2203.14145, 2022 | 17 | 2022 |
| Text-visual prompting for efficient 2d temporal video grounding Y Zhang, X Chen, J Jia, S Liu, K Ding Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
| To generate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images... for now Y Zhang, J Jia, X Chen, A Chen, Y Zhang, J Liu, K Ding, S Liu arXiv preprint arXiv:2310.11868, 2023 | 13 | 2023 |
| Video synthesis via transform-based tensor neural network Y Zhang, XY Liu, B Wu, A Walid Proceedings of the 28th ACM International Conference on Multimedia, 2454-2462, 2020 | 13 | 2020 |
| On the robustness of deep learning-based mri reconstruction to image transformations J Jia, M Hong, Y Zhang, M Akçakaya, S Liu arXiv preprint arXiv:2211.04930, 2022 | 6 | 2022 |
| Dynamic updating of the knowledge base for a large-scale question answering system XY Liu, Y Zhang, Y Liao, L Jiang ACM Transactions on Asian and Low-Resource Language Information Processing …, 2020 | 6 | 2020 |
| Deepzero: Scaling up zeroth-order optimization for deep model training A Chen, Y Zhang, J Jia, J Diffenderfer, J Liu, K Parasyris, Y Zhang, ... arXiv preprint arXiv:2310.02025, 2023 | 5 | 2023 |
| Soul: Unlocking the power of second-order optimization for llm unlearning J Jia, Y Zhang, Y Zhang, J Liu, B Runwal, J Diffenderfer, B Kailkhura, ... arXiv preprint arXiv:2404.18239, 2024 | 4 | 2024 |
| Revisiting zeroth-order optimization for memory-efficient llm fine-tuning: A benchmark Y Zhang, P Li, J Hong, J Li, Y Zhang, W Zheng, PY Chen, JD Lee, W Yin, ... arXiv preprint arXiv:2402.11592, 2024 | 4 | 2024 |
| Data-model-circuit tri-design for ultra-light video intelligence on edge devices Y Zhang, AK Kamath, Q Wu, Z Fan, W Chen, Z Wang, S Chang, S Liu, ... Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023 | 4 | 2023 |
| Unlearncanvas: A stylized image dataset to benchmark machine unlearning for diffusion models Y Zhang, Y Zhang, Y Yao, J Jia, J Liu, X Liu, S Liu arXiv preprint arXiv:2402.11846, 2024 | 3 | 2024 |
| Selectivity drives productivity: efficient dataset pruning for enhanced transfer learning Y Zhang, Y Zhang, A Chen, J Liu, G Liu, M Hong, S Chang, S Liu Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models Y Zhang, X Chen, J Jia, Y Zhang, C Fan, J Liu, M Hong, K Ding, S Liu arXiv preprint arXiv:2405.15234, 2024 | 1 | 2024 |
| The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection M Jafari, Y Zhang, Y Zhang, S Liu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Sijia LiuMichigan State University & MIT-IBM Watson AI Lab在 msu.edu 的电子邮件经过验证
