Xue "Shelley" Lin

Assistant Professor,  Electrical and Computer Engineering

Contact

Office

  • 320 Dana
  • 617.373.4030

Related Links

Research Focus

Adversarial machine learning; deep learning acceleration and hardware implementation; cyber-physical systems

About

Joined the Electrical & Computer Engineering department in January 2017.

Education

  • PhD, University of Southern California, 2016

Research Overview

Adversarial machine learning; deep learning acceleration and hardware implementation; cyber-physical systems

Department Research Areas

Selected Publications

  • P. Zhao, S. Liu, Y.Wang, X. Lin, An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks, Proceedings of ACM Multimedia (ACM MM), 2018
  • S. Wang, X. Wang, P. Zhao, D.Kaeli, P. Chin, X.Lin, Defensive Dropout for Hardening Deep Neural Networks Under Adversarial Attacks ,Proceedings of International Conference on Computer Aided Design (ICCAD), 2018
  • Y. Wang, C. Ding, G. Yuan, S.Liao, Z. Li, X. Ma, B. Yuan, X.Qian, J. Tang, Q. Qiu, X.Lin, Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework, Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), 2018
  • Mengshu Sun, Yuankun Xue, Paul Bogdan, Jian Tang, Yanzhi Wang, and Xue Lin, Hierarchical and Hybrid Energy Storage Devices in Data Centers: Architecture, Control and Provisioning, PLOS ONE, 2018
  • Q. Xie, X. Lin, Y. Wang, S. Chen, Performance Comparisons Between 7nm Finfet and Conventional Bulk CMOS Standard Cell Libraries, IEEE Transaction Circuits and Systems II, 62(8), 2015, 761-765
  • Y. Wang, X. Lin, M. Pedram, A Near-Optimal Model-Based Control Algorithm for Households Equipped with Residential Photovoltaic Power Generation and Energy Storage Systems, IEEE Transaction Sustainable Energy, 2015, 1-10
  • X. Lin, Y. Wang, Q. Xie, M. Pedram, Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment, IEEE Transaction Services Computing, 8(2), 2014, 175-186
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 won in the U.S. DOT Inclusive Design Challenge

ECE Assistant Professor Xue “Shelley” Lin, 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 will receive a $300K Stage I cash prize and advance to Stage II […]

Students

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.

Faculty

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.

Faculty

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.

Faculty

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.”

Faculty

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.”

Photo of Xue Lin

Faculty

Feb 27, 2020

Lin Receives Best Poster Award at NDSS 2020

ECE Assistant Professor Xue (Shelley) Lin collaborative work with University of California Irvine on, “Security of Deep Learning based Lane Keeping Assistance Systems under Physical-World Adversarial Attack”, received the Best Technical Poster Award at Network and Distributed System Security Symposium (NDSS) 2020, a premier conference on cyber-security.

swirly t-shirt design

Faculty

Nov 15, 2019

Finding Deep Neural Network Vulnerabilities

ECE Assistant Professor Xue “Shelley” Lin designed a t-shirt to prevent a deep neural network from detecting it, which will allow them to improve the security of the systems.

Faculty

Nov 07, 2019

This Trippy T-Shirt Makes You Invisible to AI

ECE Assistant Professor Xue “Shelley” Lin’s design of a t-shirt which prevents an AI from detecting it was featured in Vice’s article “This Trippy T-Shirt Makes You Invisible to AI“

View All Related News