Publications

31 results for Sijia Liu

Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
- - Shuai Zhang
  - Meng Weng
  - et al.
- 2023
- ICLR 2023
Visual Prompting for Adversarial Robustness
- - Aochuan Chen
  - Peter Lorenz
  - et al.
- 2022
- NeurIPS 2022
Foundational Robustness of Foundation Models
- - Pin-Yu Chen
  - Sijia Liu
  - et al.
- 2022
- NeurIPS 2022
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
- - Tianlong Chen
  - Zhenyu Zhang
  - et al.
- 2022
- ICML 2022
New Frontiers in Adversarial Machine Learning
- - Sijia Liu
  - Pin-Yu Chen
  - et al.
- 2022
- ICML 2022
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
- - Shuai Zhang
  - Meng Weng
  - et al.
- 2022
- ICLR 2022
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
- - Geng Yuan
  - Xialong Ma
  - et al.
- 2021
- NeurIPS 2021
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
- - Lijie Fan
  - Sijia Liu
  - et al.
- 2021
- NeurIPS 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
- - Shuai Zhang
  - Meng Weng
  - et al.
- 2021
- NeurIPS 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD
- - Chen Fan
  - Parikshit Ram
  - et al.
- 2021
- NeurIPS 2021