Kuang Xu
Associate Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering
Operations, Information & Technology
Bio
Kuang Xu is an Associate Professor of Operations, Information and Technology at Stanford Graduate School of Business, and Associate Professor by courtesy with the Electrical Engineering Department, Stanford University. Born in Suzhou, China, he received the B.S. degree in Electrical Engineering (2009) from the University of Illinois at Urbana-Champaign, and the Ph.D. degree in Electrical Engineering and Computer Science (2014) from the Massachusetts Institute of Technology.
His research primarily focuses on understanding fundamental properties and design principles of large-scale stochastic systems using tools from probability theory and optimization, with applications in queueing networks, healthcare, privacy and machine learning. He received First Place in the INFORMS George E. Nicholson Student Paper Competition (2011), the Best Paper Award, as well as the Kenneth C. Sevcik Outstanding Student Paper Award at ACM SIGMETRICS (2013), and the ACM SIGMETRICS Rising Star Research Award (2020). He currently serves as an Associate Editor for Operations Research and Management Science.
Academic Appointments
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Associate Professor, Operations, Information & Technology
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Associate Professor (By courtesy), Electrical Engineering
Administrative Appointments
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Associate Editor, Management Science (2021 - Present)
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Associate Editor, Operations Research (2018 - Present)
Honors & Awards
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Rising Star Research Award, ACM SIGMETRICS (2020)
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Best Paper Award, SIGMETRICS Conference (2013)
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Kenneth C. Sevcik Outstanding Student Paper Award, SIGMETRICS Conference (2013)
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First Place, George E. Nicholson Student Paper Competition, INFORMS (2011)
Professional Education
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Ph.D., Massachusetts Institute of Technology, Electrical Engineering and Computer Science (2014)
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S.M., Massachusetts Institute of Technology, Electrical Engineering and Computer Science (2011)
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B.S., University of Illinois at Urbana-Champaign, Electrical Engineering (2009)
2024-25 Courses
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Independent Studies (4)
- Doctoral Practicum in Research
OIT 699 (Aut, Win, Spr, Sum) - Doctoral Practicum in Teaching
OIT 698 (Aut, Win, Spr, Sum) - Individual Research
GSBGEN 390 (Aut, Win, Spr) - PhD Directed Reading
ACCT 691, FINANCE 691, MGTECON 691, MKTG 691, OB 691, OIT 691, POLECON 691 (Aut, Win, Spr, Sum)
- Doctoral Practicum in Research
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Prior Year Courses
2023-24 Courses
- AI and Data Science: Strategy, Management and Entrepreneurship
OIT 351 (Win) - Optimization and Simulation Modeling - Accelerated
OIT 247 (Aut)
2022-23 Courses
- Data Science: Management, Strategy and Innovation
OIT 551 (Spr) - Optimization and Simulation Modeling - Accelerated
OIT 247 (Aut)
2021-22 Courses
- AI and Data Science: Strategy, Management and Entrepreneurship
All Publications
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Experimenting in Equilibrium
MANAGEMENT SCIENCE
2021; 67 (11): 6694-6715
View details for DOI 10.1287/mnsc.2020.3844
View details for Web of Science ID 000719120400004
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Private Sequential Learning
OPERATIONS RESEARCH
2021; 69 (5): 1575-1590
View details for DOI 10.1287/opre.2020.2021
View details for Web of Science ID 000709734600013
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Temporal concatenation for Markov decision processes
PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES
2021
View details for DOI 10.1017/S0269964821000206
View details for Web of Science ID 000779204100001
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Optimal query complexity for private sequential learning against eavesdropping
MICROTOME PUBLISHING. 2021
View details for Web of Science ID 000659893802075
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Learner-Private Convex Optimization
JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2021
View details for Web of Science ID 000768182701061
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Reinforcement with Fading Memories
MATHEMATICS OF OPERATIONS RESEARCH
2020; 45 (4): 1258–88
View details for DOI 10.1287/moor.2019.1031
View details for Web of Science ID 000582125800004
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Information and Memory in Dynamic Resource Allocation
OPERATIONS RESEARCH
2020; 68 (6): 1698–1715
View details for DOI 10.1287/opre.2019.1940
View details for Web of Science ID 000587642300005
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No Detectable Surge in SARS-CoV-2 Transmission Attributable to the April 7, 2020 Wisconsin Election.
American journal of public health
2020: e1–e2
Abstract
The April 7, 2020, Wisconsin election produced a large natural experiment to help understand the transmission risks of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of April 14, 2020, 1 551 711 total votes were cast (https://bit.ly/2yWPhlF),1 and 1 138 491 absentee ballots were returned as of April 21, 2020,1 suggesting that approximately 413 220 people voted in person. Waiting times in Milwaukee averaged 1.5 to 2 hours.2 Poll workers had surgical masks and latex gloves, hand sanitizer was made available to voters, isopropyl alcohol wipes were used to clean voting equipment, and painting tape and signs were used to facilitate social distancing.1 (Am J Public Health. Published online ahead of print June 18, 2020: e1-e2. doi:10.2105/AJPH.2020.305770).
View details for DOI 10.2105/AJPH.2020.305770
View details for PubMedID 32552029
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On the Capacity of Information Processing Systems
Operations Research
2018
View details for DOI 10.1287/opre.2017.1680
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Query Complexity of Bayesian Private Learning
NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2018
View details for Web of Science ID 000461823302044
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Delay-Predictability Trade-offs in Reaching a Secret Goal
Operations Research
2018
View details for DOI 10.1287/opre.2017.1682
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Flexible Queueing Architectures
Operations Research
2017; 65 (5)
View details for DOI 10.1287/opre.2017.1620
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Using Future Information to Reduce Waiting Times in the Emergency Department via Diversion
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
2016; 18 (3): 314-331
View details for DOI 10.1287/msom.2015.0573
View details for Web of Science ID 000379760400002
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Necessity of Future Information in Admission Control
OPERATIONS RESEARCH
2015; 63 (5): 1213-1226
View details for DOI 10.1287/opre.2015.1406
View details for Web of Science ID 000364162300014
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THE OPTIMAL ADMISSION THRESHOLD IN OBSERVABLE QUEUES WITH STATE DEPENDENT PRICING
PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES
2014; 28 (1): 101-119
View details for DOI 10.1017/S0269964813000351
View details for Web of Science ID 000339622600007
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Queuing with future information
The Annals of Applied Probability
2014; 24 (5): 2091-2142
View details for DOI 10.1214/13-AAP973
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On the Power of (Even a Little) Resource Pooling
Stochastic Systems
2012; 2 (1): 1-66
View details for DOI 10.1287/11-SSY033
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Self-synchronizing properties of CSMA wireless multi-hop networks
ACM Sigmetrics
2010
View details for DOI 10.1145/1811039.1811048
- On the capacity of information processing systems 29th Annual Conference on Learning Theory (COLT) 2016: 1292–97