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Shixiang Zhu

Assistant Professor

Carnegie Mellon University

United States

Research Interests

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About

Shixiang Zhu is an Assistant Professor at Carnegie Mellon University in the United States. His research encompasses data-driven optimization, spatio-temporal modeling, and anomaly detection, with a focus on applications in public health and energy systems. Recent publications include works on COVID-19 hotspot detection, traffic congestion modeling, and grid resilience against extreme weather.

Articles (11)

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2025

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2025

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2020

Collaborators (4)

Pascal Van Hentenryck

A. Russell Chandler III Chair and Professor

Georgia Institute of Technology

UNITED STATES

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Merve Bodur

University of Toronto

CANADA

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Ramteen Sioshansi

Ohio State University

UNITED STATES

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Yao Xie

Coca-Cola Foundation Chair Professor

Georgia Institute of Technology

UNITED STATES

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Shixiang Zhu

Research Interests

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Articles (11)

Quantifying Grid Resilience Against Extreme Weather Using Large-Scale Customer Power Outage Data

Call for Papers—INFORMS Journal on Data Science Virtual Special Issue on the Dual Edge of AI: Catalyzing and Challenging the Future of Energy Systems

Sequential Adversarial Anomaly Detection for One-Class Event Data

Spatio-Temporal Point Processes With Attention for Traffic Congestion Event Modeling

Data-Driven Optimization for Atlanta Police-Zone Design

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data

In Situ Transmission Electron Microscopy: Signal processing challenges and examples

Imitation Learning of Neural Spatio-Temporal Point Processes

High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S.

Imitation Learning of Neural Spatio-Temporal Point Processes

Investigating local oxidation processes in Fe thin films in a water vapor environment by in situ liquid cell TEM

Collaborators (4)

Pascal Van Hentenryck

Merve Bodur

Ramteen Sioshansi

Yao Xie

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