Xue Lin

Associate Professor, Electrical and Computer Engineering, Northeastern University

Joined

February 2018

Names

Xue Lin

Emails

****@northeastern.edu (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

Associate Professor

Electrical and Computer Engineering, Northeastern University (neu.edu)

2023 – Present

Assistant Professor

Electrical and Computer Engineering, Northeastern University (neu.edu)

2017 – 2023

Advisors, Relations & Conflicts

Coauthor

Sijia Liu

2017 – Present

Family

Yanzhi Wang

2012 – Present

PhD Advisee

Siyue Wang

2017 – 2022

PhD Advisee

Mengshu Sun

2017 – 2022

PhD Advisee

Kaidi Xu

2018 – 2021

PhD Advisee

Pu Zhao

2016 – 2021

PhD Advisor

Massoud Pedram

2011 – 2016

Expertise

Deep learning-efficient inference

Present

Adversarial attacks of deep learning

Present

Publications

ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms
Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia
- 29 Sept 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge
Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Generating Realistic Physical Adversarial Examplesby Patch Transformer Network
Quanfu Fan, Kaidi Xu, Chun-Fu Chen, Sijia Liu, Gaoyuan Zhang, David Daniel Cox, Xue Lin
- 29 Sept 2021 (modified: 13 Feb 2023)
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone
Reverse Engineering of Imperceptible Adversarial Image Perturbations
Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J Zico Kolter
- Published: 21 Jun 2021, Last Modified: 30 Dec 2025
- ICML 2021 Workshop AML Poster
- Readers: Everyone
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J Zico Kolter
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Spotlight
- Readers: Everyone
Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications
Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang
- 2021 (modified: 04 Nov 2022)
- ASP-DAC 2021
- Readers: Everyone
Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations
Hao Cheng, Kaidi Xu, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn
- 2021 (modified: 06 Jan 2026)
- CoRR 2021
- Readers: Everyone
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
- 2021 (modified: 04 Nov 2022)
- CoRR 2021
- Readers: Everyone

View all 52 publications

Co-Authors

View all 122 co-authors