Sijia Liu
Michigan State University
H-index: 41
North America-United States
Top articles of Sijia Liu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization | Computational Optimization and Applications | Zichong Li Pin-Yu Chen Sijia Liu Songtao Lu Yangyang Xu | 2024/1 |
Rethinking Machine Unlearning for Large Language Models | arXiv preprint arXiv:2402.08787 | Sijia Liu Yuanshun Yao Jinghan Jia Stephen Casper Nathalie Baracaldo | 2024/2/13 |
How does promoting the minority fraction affect generalization? A theoretical study of one-hidden-layer neural network on group imbalance | IEEE Journal of Selected Topics in Signal Processing | Hongkang Li Shuai Zhang Yihua Zhang Meng Wang Sijia Liu | 2024/3/7 |
CryoRL: reinforcement learning enables efficient cryo-EM data collection | Quanfu Fan Yilai Li Yuguang Yao John Cohn Sijia Liu | 2024 | |
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with -Greedy Exploration | Advances in Neural Information Processing Systems | Shuai Zhang Hongkang Li Meng Wang Miao Liu Pin-Yu Chen | 2024/2/13 |
Zeroth-Order Machine Learning: Fundamental Principles and Emerging Applications in Foundation Models | Sijia Liu Tianlong Chen Zhangyang Wang Pin-Yu Chen Mingyi Hong | 2024/2/20 | |
Hide and Seek: How Does Watermarking Impact Face Recognition? | arXiv preprint arXiv:2404.18890 | Yuguang Yao Steven Grosz Sijia Liu Anil Jain | 2024/4/29 |
Beyond the gender gap in Japan: edited by Gill Steel, Ann Arbor, University of Michigan Press, 2020, 275 pp., RRP£ 20.00 (paperback), ISBN 978-0-47203-770-4 | Sijia Liu | 2024/2/9 | |
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models | arXiv preprint arXiv:2402.11846 | Yihua Zhang Yimeng Zhang Yuguang Yao Jinghan Jia Jiancheng Liu | 2024/2/19 |
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning | arXiv preprint arXiv:2404.18239 | Jinghan Jia Yihua Zhang Yimeng Zhang Jiancheng Liu Bharat Runwal | 2024/4/28 |
Detecting hybdrid-distance adversarial patches | 2024/1/16 | ||
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark | arXiv preprint arXiv:2402.11592 | Yihua Zhang Pingzhi Li Junyuan Hong Jiaxiang Li Yimeng Zhang | 2024/2/18 |
Elevating Visual Prompting in Transfer Learning Via Pruned Model Ensembles: No Retrain, No Pain | Brian Zhang Yuguang Yao Sijia Liu | 2024/4/14 | |
An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning | IEEE Signal Processing Magazine | Yihua Zhang Prashant Khanduri Ioannis Tsaknakis Yuguang Yao Mingyi Hong | 2024/1 |
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning | Advances in Neural Information Processing Systems | Yihua Zhang Yimeng Zhang Aochuan Chen Jiancheng Liu Gaowen Liu | 2023/12/9 |
Reverse Engineering of Deceptions on Machine-and Human-Centric Attacks | Foundations and Trends® in Privacy and Security | Yuguang Yao Xiao Guo Vishal Asnani Yifan Gong Jiancheng Liu | 2024/3/25 |
Patch-level routing in mixture-of-experts is provably sample-efficient for convolutional neural networks | Mohammed Nowaz Rabbani Chowdhury Shuai Zhang Meng Wang Sijia Liu Pin-Yu Chen | 2023/7/3 | |
A modified phase-field model for cohesive interface failure in quasi-brittle solids | International Journal of Mechanical Sciences | Sijia Liu Yunteng Wang Wei Wu | 2023/8/15 |
Data-model-circuit tri-design for ultra-light video intelligence on edge devices | Yimeng Zhang Akshay Karkal Kamath Qiucheng Wu Zhiwen Fan Wuyang Chen | 2023/1/16 | |
AutoVP: An Automated Visual Prompting Framework and Benchmark | arXiv preprint arXiv:2310.08381 | Hsi-Ai Tsao Lei Hsiung Pin-Yu Chen Sijia Liu Tsung-Yi Ho | 2023/10/12 |
Co-Authors
