Xue "Shelley" Lin

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

Contact

Office

  • 320 Dana
  • 617.373.4030

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

  • Faculty Fellow Award, 2024
  • 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

Faculty

Feb 01, 2024

Faculty and Staff Awards 2024

The College of Engineering recognized faculty and staff at the annual faculty and staff awards event and thanked everyone for their hard work and dedication in support of our students, college, and university during the 2023-2024 academic year. View award recipients and photo gallery.

Faculty

Dec 07, 2023

2023 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% 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 those […]

Xue “Shelley” Lin

Faculty

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 $600,000 NSF grant for “Toward Efficient and Robust Dynamic Scene Understanding Based on Visual Correspondences.”

Faculty

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 […]

Xue “Shelley” Lin

Faculty

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 […]

Faculty

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 […]

PhD

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

Faculty

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

Faculty

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

Faculty

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 […]

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