Publications

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

2023


  1. 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 2023
  2. arxiv
    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. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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

2022


  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