Xue "Shelley" Lin

Assistant Professor,  Electrical and Computer Engineering
Affiliated Faculty,  Khoury College of Computer Sciences



  • 320 Dana
  • 617.373.4030

Research Focus

Robust and Secure Machine Learning; Deep Learning on the Edge; Cyber-Physical Systems


Joined the Electrical & Computer Engineering department in January 2017.


  • 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.

High Energy-Efficiency & Performance System Lab

We develop efficient, performant, and robust deep learning algorithms and systems for various applications.

High Energy-Efficiency & Performance System Lab

Selected Research Projects

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


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.

abstract photo of women doctor pointing to tablet with medical imagery around it


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 […]

Photo of Xue Lin


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.

Photo of Xue Lin


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.

steering wheel and dashboard of self-driving car


Oct 01, 2020

Assuring that Self-Driving Cars are Accessible to Those with Disabilities

ECE Assistant Professor Xue “Shelley” Lin is working with the algorithms in self-driving vehicles to ensure that they will be accessible to those with disabilities.

David Kaeli, Yanzhi Wang, Xue Lin, and Devesh Tiwari


Sep 16, 2020

Using a Heterogeneous Multi-GPU Cluster to Support Exploration at Scale

ECE Professor David Kaeli and Assistant Professors Yanzhi Wang, Xue Lin, and Devesh Tiwari were awarded a $570K NSF grant for the “Acquisition of a Heterogeneous Multi-GPU Cluster to Support Exploration at Scale.”


Aug 24, 2020

ECE Team won First Place in ISLPED 2020 Design Contest

ECE Assistant Professors Yanzhi Wang and Xue Lin and their graduate students were part of a collaborative Northeastern University and College of William and Mary team that won first place at the design contest at ISLPED 2020 for their demonstration titled, “CoCoPIE: A Framework of Compression-Compilation Co-design Towards Ultra-High Energy Efficiency and Real Time DNN Inference on Mobile Devices.”

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