| Chainqueen: A real-time differentiable physical simulator for soft robotics Y Hu, J Liu, A Spielberg, JB Tenenbaum, WT Freeman, J Wu, D Rus, ... ICRA 2019, 2019 | 308 | 2019 |
| Model sparsity can simplify machine unlearning J Jia, J Liu, P Ram, Y Yao, G Liu, Y Liu, P Sharma, S Liu NeurIPS 2023 (Spotlight), 2023 | 94* | 2023 |
| 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 ICLR 2024 (Spotlight), 2024 | 85 | 2024 |
| 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 ECCV 2024, 2024 | 56 | 2024 |
| Deep portrait image completion and extrapolation X Wu, RL Li, FL Zhang, JC Liu, J Wang, A Shamir, SM Hu IEEE Transactions on Image Processing 29, 2344-2355, 2019 | 51 | 2019 |
| DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training A Chen, Y Zhang, J Jia, J Diffenderfer, J Liu, K Parasyris, Y Zhang, ... ICLR 2024, 2024 | 34 | 2024 |
| 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 NeurIPS 2024 Dataset and Benchmark, 2024 | 26 | 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, ... EMNLP 2024, 2024 | 25 | 2024 |
| Delving deep into coarse-to-fine framework for facial landmark localization X Chen, E Zhou, Y Mo, J Liu, Z Cao CVPR Workshop 2017, 2017 | 23 | 2017 |
| 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 NeurIPS 2024, 2024 | 20 | 2024 |
| Challenging forgets: Unveiling the worst-case forget sets in machine unlearning C Fan, J Liu, A Hero, S Liu ECCV 2024, 2024 | 15 | 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 NeurIPS 2023, 2023 | 5 | 2023 |
| Reverse Engineering of Deceptions on Machine-and Human-Centric Attacks Y Yao, X Guo, V Asnani, Y Gong, J Liu, X Lin, X Liu, S Liu Foundations and Trends® in Privacy and Security 6 (2), 53-152, 2024 | 4 | 2024 |
| Complex Locomotion Skill Learning via Differentiable Physics J Liu, Y Fang, M Zhang, J Zhang, Y Ma, M Li, Y Hu, C Jiang, T Liu arXiv preprint arXiv:2206.02341, 2021 | 3 | 2021 |
| Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Y Yao, J Liu, Y Gong, X Liu, Y Wang, X Lin, S Liu WACV 2025, 2025 | 1 | 2025 |
| 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 NeurIPS 2024, 2024 | 1 | 2024 |
| Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification C Sun, R Wang, Y Zhang, J Jia, J Liu, G Liu, S Liu, Y Yan arXiv preprint arXiv:2412.16780, 2024 | | 2024 |
| Towards Universal Mesh Movement Networks M Zhang, C Wang, S Kramer, JG Wallwork, S Li, J Liu, X Chen, ... NeurIPS 2024 (Spotlight), 2024 | | 2024 |
| Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning C Fan, J Liu, L Lin, J Jia, R Zhang, S Mei, S Liu arXiv preprint arXiv:2410.07163, 2024 | | 2024 |
Sijia LiuMichigan State University & MIT-IBM Watson AI LabEmail verificata su msu.edu