| Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation C Fan, J Liu, Y Zhang, E Wong, D Wei, S Liu 2024 International Conference on Learning Representations (ICLR 2024), 2023 | 290 | 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 European Conference on Computer Vision, 385-403, 2024 | 188 | 2024 |
| Revisiting and Advancing Fast Adversarial Training through the Lens of Bi-Level Optimization Y Zhang, G Zhang, P Khanduri, M Hong, S Chang, S Liu Proceedings of the 39th International Conference on Machine Learning, 26693 …, 2022 | 130 | 2022 |
| Understanding and improving visual prompting: A label-mapping perspective A Chen, Y Yao, PY Chen, Y Zhang, S Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 126 | 2023 |
| A pilot study of query-free adversarial attack against stable diffusion H Zhuang, Y Zhang, S Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 124 | 2023 |
| Revisiting zeroth-order optimization for memory-efficient llm fine-tuning Y Zhang, P Li, J Hong, J Li, Y Zhang, W Zheng, PY Chen, JD Lee, W Yin, ... The Forty-First International Conference on Machine Learning (ICML 2024), 2024 | 122* | 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 Advances in neural information processing systems 37, 36748-36776, 2024 | 120 | 2024 |
| Advancing Model Pruning via Bi-level Optimization Y Zhang, Y Yao, P Ram, P Zhao, T Chen, M Hong, Y Wang, S Liu Advances in Neural Information Processing Systems (NeurIPS), 2022 | 101 | 2022 |
| An introduction to bilevel optimization: Foundations and applications in signal processing and machine learning Y Zhang, P Khanduri, I Tsaknakis, Y Yao, M Hong, S Liu IEEE Signal Processing Magazine 41 (1), 38-59, 2024 | 95 | 2024 |
| 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, ... The 2024 Conference on Empirical Methods in Natural Language Processing …, 2024 | 91 | 2024 |
| 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 | 89 | 2023 |
| Unlearncanvas: Stylized image dataset for enhanced machine unlearning evaluation in diffusion models Y Zhang, C Fan, Y Zhang, Y Yao, J Jia, J Liu, G Zhang, G Liu, ... The Thirty-Eighth Annual Conference on Neural Information Processing Systems …, 2024 | 66* | 2024 |
| Robust mixture-of-expert training for convolutional neural networks Y Zhang, R Cai, T Chen, G Zhang, H Zhang, PY Chen, S Chang, Z Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 90-101, 2023 | 60 | 2023 |
| Fairness Reprogramming G Zhang*, Y Zhang*, Y Zhang, W Fan, Q Li, S Liu, S Chang (*Equal Contribution) Advances in Neural Information Processing Systems …, 2022 | 56 | 2022 |
| Wagle: Strategic weight attribution for effective and modular unlearning in large language models J Jia, J Liu, Y Zhang, P Ram, N Baracaldo, S Liu Advances in Neural Information Processing Systems 37, 55620-55646, 2024 | 39 | 2024 |
| Linearly constrained bilevel optimization: A smoothed implicit gradient approach P Khanduri, I Tsaknakis, Y Zhang, J Liu, S Liu, J Zhang, M Hong International Conference on Machine Learning, 16291-16325, 2023 | 36 | 2023 |
| Quarantine: Sparsity can uncover the trojan attack trigger for free T Chen*, Z Zhang*, Y Zhang*, S Chang, S Liu, Z Wang (*Equal Contribution) Proceedings of the IEEE/CVF Conference on Computer …, 2022 | 35 | 2022 |
| Textgrad: Advancing robustness evaluation in nlp by gradient-driven optimization B Hou, J Jia, Y Zhang, G Zhang, Y Zhang, S Liu, S Chang The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 33 | 2022 |
| Visual prompting upgrades neural network sparsification: A data-model perspective C Jin, T Huang, Y Zhang, M Pechenizkiy, S Liu, S Liu, T Chen Proceedings of the AAAI Conference on Artificial Intelligence 39 (4), 4111-4119, 2025 | 29 | 2025 |
| Towards llm unlearning resilient to relearning attacks: A sharpness-aware minimization perspective and beyond C Fan, J Jia, Y Zhang, A Ramakrishna, M Hong, S Liu arXiv preprint arXiv:2502.05374, 2025 | 29 | 2025 |
Sijia LiuRed Cedar Distinguished Associate Professor, Michigan State Univ.; Affiliate Prof., IBM ResearchVerified email at msu.edu
