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Thornton E212, 351 McCormick Rd

Xiaoxuan Yang

Assistant Professor
Contact
Location
Thornton E212, 351 McCormick Rd
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About

Xiaoxuan Yang’s research focuses on emerging nonvolatile memory technologies, robustness and reliability enhancement in processing-in-memory designs, and hardware accelerators for deep learning applications. Xiaoxuan Yang is an assistant professor in the Electrical and Computer Engineering at the University of Virginia. She was a postdoctoral researcher in the Robust Systems Group at Stanford University and a rising scholar research scientist in the Engineering School at the University of Virginia. She received her Ph.D. degree in Electrical and Computer Engineering from Duke University, M.S. degree in Electrical Engineering from the University of California, Los Angeles (UCLA), and B.S. degree in Electrical Engineering from Tsinghua University. Her research work won Third Place of ACM Student Research Competition SRC at International Conference on Computer-Aided Design (ICCAD) and the Best Research Award at ACM SIGDA Ph.D. Forum at Design Automation Conference (DAC). She has been selected as a Rising Star in EECS and an NSF iREDEFINE Fellow.

Education

Ph.D. Duke University

M.S. University of California, Los Angeles

B.S. Tsinghua University

Research Interests

In-Memory Computing
Hardware-Software Co-Design
Computer-Aided Design
Emerging Algorithm and Hardware

Selected Publications

Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design Xiaoxuan Yang, Zhangyang Wang, X Sharon Hu, Chris H Kim, Shimeng Yu, Miroslav Pajic, Rajit Manohar, Yiran Chen, Hai Helen Li
IEEE
ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-aware ReRAM-based In-Memory Training Systems Xiaoxuan Yang, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li
IEEE
Multi-objective optimization of ReRAM crossbars for robust DNN inferencing under stochastic noise Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Helen Li
IEEE
ReTransformer: ReRAM-based processing-in-memory architecture for transformer acceleration Xiaoxuan Yang, Bonan Yan, Hai Li, Yiran Chen
ACM
More Publications
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