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EXPLORE NORTHEASTERN

Xue "Shelley" Lin

Assistant Professor,  Electrical and Computer Engineering

Contact

Office

  • 320 Dana
  • 617.373.4030

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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
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.

Photo of Xue Lin

Faculty

Sep 17, 2019

Protecting Autonomous Systems From Adversarial Attacks

ECE Assistant Professor Xue “Shelley” Lin is the PI of a $500K NSF grant, in collaboration with Alfred Chen from the University of California Irvine, for the “Design of Secured Autonomous Cyber-Physical Systems Against Adversarial Machine Learning Attacks.”

Faculty

Jul 11, 2019

$1.2M NSF Grant to Secure Deep Neural Networks

ECE Professor Yunsi Fei, Assistant Professor Xue (Shelley) Lin, and Khoury Associate Professor Thomas Wahl were awarded a $1.2M NSF grant for “Protecting Confidentiality and Integrity of Deep Neural Networks against Side-Channel and Fault Attacks”.

Faculty

Jun 05, 2019

Lin to Lead $1.2M Grant to Reduce DNN Computation and Storage Requirements

ECE Assistant Professor Xue (Shelley) Lin will lead a $1.2M NSF grant, in collaboration with ECE Professor Miriam Leeser and Massoud Pedram from the University of Southern California, on developing “A Unified Software/Hardware Framework of DNN Computation and Storage Reduction Using ADMM”.

Faculty

Sep 14, 2017

Lin & Kaeli to Work on $800K NSF Grant Collaboration

ECE Assistant Professor Xue Lin and Professor David Kaeli in collaboration with CUNY City College received an $800K NSF grant to develop “A Framework of Simultaneous Acceleration and Storage Reduction on Deep Neural Networks Using Structured Matrices”.

Faculty

Jan 20, 2017

New Faculty Spotlight: Xue Lin

Xue Lin joins the Electrical & Computer Engineering department in January 2017 as an Assistant Professor.

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