Xuan (Silvia) Zhang

Associate Professor,  Electrical and Computer Engineering

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Research Focus

Artificial intelligence (AI) hardware, machine vision sensors, machine learning for electronic design automation, efficiency/security/privacy for autonomous systems, computer architecture, integrated circuits/VLSI design

Education

  • PhD, Electrical and Computer Engineering, Cornell, 2012

Honors & Awards

  • 2020 NSF CAREER Award

Research Overview

Artificial intelligence (AI) hardware, machine vision sensors, machine learning for electronic design automation, efficiency/security/privacy for autonomous systems, computer architecture, integrated circuits/VLSI design

Sensory AI Lab

We are interested in the design, optimization, and miniaturization of AI computing for intelligent physical platforms that exhibit autonomy. We work at the intersection of computer architecture, integrated circuits design and automation, and artificial intelligence (AI).

Sensory AI Lab

Selected Publications

  • Z. Dong, W. Cao, M. Zhang, D. Tao, Y. Chen, and X. Zhang, “CktGNN: Circuit graph neural network for electronic design automation,” in The Eleventh International Conference on Learning Representations (ICLR), 2023.
  • J. Gao, W. Cao, and X. Zhang, “RoSE: Robust analog circuit parameter optimization with sampling-efficient reinforcement learning,” in Design Automation Conference (DAC), 2023.
  • T. Ma, A. J. Boloor, X. Yang, W. Cao, P. Williams, N. Sun, A. Chakrabarti, and X. Zhang, “LeCA: In-sensor learned compressive acquisition for efficient machine vision on the edge,” in Proceedings of the 50th Annual International Symposium on Computer Architecture (ISCA), 2023.
  • T. Ma, Y. Feng, X. Zhang, and Y. Zhu, “CamJ: Enabling system-level energy modeling and architectural exploration for in-sensor visual computing,” in Proceedings of the 50th Annual International Symposium on Computer Architecture (ISCA), 2023.
Xuan (Silvia) Zhang

Faculty

Dec 19, 2023

New Faculty Spotlight: Xuan (Silvia) Zhang

Xuan (Silvia) Zhang joins the Electrical and Computer Engineering department in January 2024 as an Associate Professor.

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