Publications by categories in reversed chronological order. * denotes equal contribution.


  1. preprint
    UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models
    Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Xiaoming Liu, and Sijia Liu
    In arXiv preprint arXiv:2402.11846 Feb 2024
  2. ICML’24
    Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
    Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, and 3 more authors
    In arXiv preprint arXiv:2402.11592 Feb 2024
  3. ICLR’24
    SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
    Chongyu Fan, Jiancheng Liu, Yihua Zhang, Dennis Wei, Eric Wong, and Sijia Liu
    In arxiv 2310.12508 Oct 2024
  4. ICLR‘24
    DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
    Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, and Sijia Liu
    In arxiv 2310.02025 Oct 2024


  1. preprint
    To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
    Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, and Sijia Liu
    In arxiv 2310.11868 Oct 2023
    An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
    Yihua Zhang, Prashant Khanduri, Ioannis Tsaknakis, Yuguang Yao, Mingyi Hong, and Sijia Liu
    In arxiv 2308.00788 Aug 2023
  3. NeurIPS’23
    Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
    Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, and Sijia Liu
    In Thirty-seventh Conference on Neural Information Processing Systems Aug 2023
  4. ICCV’23
    Robust Mixture-of-Expert Training for Convolutional Neural Networks
    Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, and Sijia Liu
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Oct 2023
  5. ICML’23
    Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach
    Prashant Khanduri, Ioannis Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, and Mingyi Hong
    In Proceedings of the 40th International Conference on Machine Learning Oct 2023
    Robustness-Preserving Lifelong Learning Via Dataset Condensation
    Jinghan Jia, Yihua Zhang, Dogyoon Song, Sijia Liu, and Alfred Hero
    In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Oct 2023
  7. CVPRW’23
    A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion
    Haomin Zhuang, Yihua Zhang, and Sijia Liu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops Jun 2023
  8. CVPR’23
    Understanding and Improving Visual Prompting: A Label-Mapping Perspective
    Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, and Sijia Liu
    In The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 Jun 2023
  9. ICLR’23
    TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
    Bairu Hou, Jinghan Jia*, Yihua Zhang*, Guanhua Zhang*, Yang Zhang, Sijia Liu, and Shiyu Chang
    In Eleventh International Conference on Learning Representations Jun 2023
  10. ICLR’23
    What Is Missing in IRM Training and Evaluation? Challenges and Solutions
    Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush Varshney, and Sijia Liu
    In Eleventh International Conference on Learning Representations Jun 2023


  1. NeurIPS’22
    Advancing Model Pruning via Bi-level Optimization
    Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, and Sijia Liu
    In Thirty-sixth Conference on Neural Information Processing Systems Jun 2022
  2. NeurIPS’22
    Fairness Reprogramming
    Guanhua Zhang*, Yihua Zhang*, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, and Shiyu Chang
    In Thirty-sixth Conference on Neural Information Processing Systems Jun 2022
  3. UAI’22
    Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
    Gaoyuan Zhang*, Songtao Lu*, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, and Sijia Liu
    In Uncertainty in Artificial Intelligence Jun 2022
  4. ICML’22
    Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
    Yihua Zhang*, Guanhua Zhang*, Prashant Khanduri, Mingyi Hong, Shiyu Chang, and Sijia Liu
    In Proceedings of the 39th International Conference on Machine Learning Jun 2022
  5. CVPR’22
    Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
    Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu Chang, Sijia Liu, and Zhangyang Wang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Jun 2022