Xue "Shelley" Lin
Associate Professor, Electrical and Computer Engineering
Affiliated Faculty, Khoury College of Computer Sciences
Contact
- xue.lin@northeastern.edu
- 360 Huntington Avenue
Boston, Massachusetts 02115
Office
- 320 Dana
- 617.373.4030
Related Links
Research Focus
Robust and Secure Machine Learning; Deep Learning on the Edge; Cyber-Physical Systems
About
Joined the Electrical & Computer Engineering department in January 2017.
Education
- PhD, University of Southern California, 2016
Honors & Awards
- Semifinalist in Inclusive Design Challenge of U.S. Department of Transportation (in collaboration with U Maine Team), 2021
- $1M DARPA Grant for Intelligent Diagnosis for Machine and Human-Centric Adversaries, 2020
- Seed Grant for Combining Real-Time Deep Learning and Human-Vehicle Collaboration Techniques in Autonomous Vehicles to Assist Older and Visually Impaired Passengers from Northeastern and U Maine Joint Seed Program, 2020
- 1st Place in ISLPED 2020 Design Contest, 2020
Research Overview
Robust and Secure Machine Learning; Deep Learning on the Edge; Cyber-Physical Systems
Dr. Lin’s research work has been recognized by several NSF awards and supported by Air Force Research Lab, Office of Naval Research, Lawrence Livermore National Lab, DARPA, and U.S. Department of Transportation. She got the best paper award at ISVLSI 2014, the top paper award at CLOUD 2014, the best technical poster award at NDSS 2020, the spotlight paper at ECCV 2020, the 1st place at ISLPED 2020 Design Contest, Stage I cash prize award in DOT’s Inclusive Design Challenge, the oral paper at CVPR 2021, and the best paper award at Hardware Aware Efficient Training Workshop@ICLR 2021.
Selected Research Projects
- Toward Efficient and Robust Dynamic Scene Understanding Based on Visual Correspondences
- – Principal Investigator, National Science Foundation
- Intelligent Diagnosis for Machine and Human-Centric Adversaries
- – Principal Investigator, Defense Advanced Research Projects Agency
- ADMM-NN: A Unified Software/Hardware Framework of DNN Computation and Storage Reduction Using ADMM
- – Principal Investigator, National Science Foundation
- Protecting Confidentiality and Integrity of Deep Neural Networks against Side-Channel and Fault Attacks
- – Co-Principal Investigator, National Science Foundation
- SecureNN: Design of Secured Autonomous Cyber-Physical Systems Against Adversarial Machine Learning Attacks
- – Principal Investigator, National Science Foundation
Department Research Areas
Selected Publications
- Niu, Wei, Li, Zhengang, Ma, Xiaolong, Dong, Peiyan, Zhou, Gang, Qian, Xuehai, Lin, Xue, Wang, Yanzhi, Ren, Bin (2021). GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity. IEEE Transactions on Pattern Analysis and Machine Intelligence. 10.1109/TPAMI.2021.3089687
- Ma, Xiaolong, Lin, Sheng, Ye, Shaokai, He, Zhezhi, Zhang, Linfeng, Yuan, Geng, Tan, Sia H., Li, Zhengang, Fan, Deliang, Qian, Xuehai, Lin, Xue, Ma, Kaisheng, Wang, Yanzhi (2021). Non-Structured DNN Weight Pruning–Is It Beneficial in Any Platform?. IEEE Transactions on Neural Networks and Learning Systems. 10.1109/TNNLS.2021.3063265
- Zhang, Tianyun, Ye, Shaokai, Feng, Xiaoyu, Ma, Xiaolong, Zhang, Kaiqi, Li, Zhengang, Tang, Jian, Liu, Sijia, Lin, Xue, Liu, Yongpan, Fardad, Makan, Wang, Yanzhi (2021). StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. IEEE Transactions on Neural Networks and Learning Systems. 10.1109/TNNLS.2020.3045153
Jul 31, 2023
Using Visual Correspondences to See the World in Motion
ECE Associate Professor Xue “Shelley” Lin, in collaboration with Khoury Assistant Professor Huaizu Jiang, was awarded a $600K NSF grant for “Toward Efficient and Robust Dynamic Scene Understanding Based on Visual Correspondences.”
Nov 02, 2022
2022 Stanford University Annual Assessment of Author Citations
The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2 percent of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes […]
Aug 18, 2022
Lin Wins U.S. DOT Inclusive Design Challenge Stage II
ECE Assistant Professor Xue “Shelley” Lin, together with Prof. Nicholas Giudice and Prof. Richard Corey at U Maine, and Prof. Stacy Doore at Colby College, became a Finalist Awardee and will receive $300k for winning the prize in the second phase of the national 2022 Inclusive Design Challenge from U.S. Department of Transportation. They created […]
Dec 23, 2021
COE Professors Selected in Stanford University List of Top 2% Scientists Worldwide
The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2 percent of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes […]
Aug 11, 2021
ECE PhD Student Wins 2021 VNN-COMP Award
Kaidi Xu, PhD’21, computer engineering, from Assistant Professor Xue “Shelley” Lin’s lab, got the Top Highest Score Award and Category Winner during the 2nd International Verification of Neural Networks Competition (VNN-COMP’21) at the 33rd International Conference on Computer-Aided Verification. The work was done in collaboration with researchers from CMU, Columbia University, and UCLA.
May 11, 2021
Just What the Doctor Ordered
Human beings are some of the most complex systems in the world, and responses to illness, disease, and impairments manifest in countless different ways. When it comes to making sure that your system stays up and running, healthcare professionals typically have their own deep well of knowledge—but the addition of artificial intelligence tools offers unprecedented […]
Jan 07, 2021
$1M DARPA Grant for Intelligent Diagnosis for Machine and Human-Centric Adversaries
ECE Assistant Professor Xue “Shelley” Lin, in collaboration with Michigan State University Professors Xiaoming Liu and Sijia Liu, received $1M funding from DARPA for their project titled Intelligent Diagnosis for Machine and Human-Centric Adversaries.
Jan 07, 2021
Lin Wins U.S. DOT Inclusive Design Challenge
Assistant Professor Xue “Shelley” Lin, electrical and computer engineering, in collaboration with University of Maine Professor Nicholas Giudice, won the U.S. Department of Transportation’s (DOT) Inclusive Design Challenge for their project “Autonomous Vehicle Assistant (Ava): Ride-Hailing and Localization for the Future of Accessible Mobility” and received a $300K Stage I cash prize and advanced to […]
Dec 16, 2020
ECE PhD Student Won 1st Place for Best Presentation at WISE 2020
Computer Engineering PhD student Siyue Wang is the 1st place winner of the best presentation in the Fourth Workshop for Women in Hardware and Systems Security (WISE 2020). She presented her recent work on “Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks” with her advisor Assistant Professor Shelley Xue Lin.
Oct 16, 2020
COE Faculty Awarded Seed Funding in Collaboration with University of Maine
BioE Assistant Professors Jiahe Li and Mingyang Lu, ECE Professor & Chair Srinivas Tadigadapa, ECE Assistant Professors Sarah Ostadabbas and Xue “Shelley” Lin, and ECE Associate Research Scientist Ataur Katebi were among the faculty chosen for five competitive collaborative research projects with the University of Maine in the areas of artificial intelligence, earth and climate sciences, health and life sciences, manufacturing, and marine sciences.