Research
I publish under the name Xu Kuang, cited as X. Kuang. Prior to June 2023, I published under the name Kuang Xu, cited as K. Xu.
Preprints
Journal Publications and Technical Reports
Conference Publications
Nonstationary Bandit Learning via Predictive Sampling
Yueyang Liu, Benjamin van Roy
Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS) 2023
Learner-Private Online Convex Optimization
Jiaming Xu, Dana (Xiaoqian) Yang
Proceedings of International Conference on Machine Learning (ICML) 2021
Optimal Query Complexity for Private Sequential Learning against Eavesdropping
Jiaming Xu, Dana (Xiaoqian) Yang
Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS) 2021
arXiv version
Information, Memory and Capacity in Dynamic Resource Allocation
Yuan Zhong
Proceedings of ACM SIGMETRICS, Phoenix, Arizona, June 2019
Extended technical report
Query Complexity of Bayesian Private Learning
Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), Montreal, December 2018
arXiv version
Private Sequential Learning
John N. Tsitsiklis, Zhi Xu
Proceedings of the Conference on Learning Theory (COLT), Stockholm, July 2018
Extended technical report | Talk
Reinforcement with Fading Memories
Se Young Yun
Proceedings of ACM SIGMETRICS, Irvine, California, June 2018
On the Capacity of Information Processing Systems
Laurent Massoulié
Proceedings of the Conference on Learning Theory (COLT), New York, June 2016
Extended technical report | Talk
Queueing System Topologies with Limited Flexibility
John N. Tsitsiklis
Proceedings of ACM SIGMETRICS, Pittsburgh, June 2013
Extended technical report
Best Paper Award and Kenneth C. Sevcik Outstanding Student Paper Award
On the Power of (even a little) Centralization in Distributed Processing
John N. Tsitsiklis
Proceedings of ACM SIGMETRICS, San Jose, June 2011
Self-Synchronizing Properties of CSMA Wireless Multi-hop Networks
Olivier Dousse, Patrick Thiran
Proceedings of ACM SIGMETRICS, New York, June 2010
PAPR Reduction for Beamforming OFDM via Constellation-Beam Modification
Douglas L. Jones
Proceedings of the 43rd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, November 2009
Promoting undergraduate research in ECE (PURE): Connecting undergraduates with graduate research mentors
Elizabeth Van Ruitenbeek
Proceedings of American Society for Engineering Education Conference & Exposition, June 2009
PURE program website | Illinois news coverage
Theses
On the Power of (even a little) Flexibility in Dynamic Resource Allocation
Ph.D. Thesis, Massachusetts Institute of Technology, June 2014
Recipient of 2014 Dimitris N. Chorafas Foundation Award
On the Power of Centralization in Distributed Processing
S.M. Thesis, Massachusetts Institute of Technology, June 2011
First Place, Ernst A. Guillemin Thesis Award for Best S.M. Thesis in Electrical Engineering
Modeling and Analysis of Peer-to-Peer (P2P) Live Video Streaming
Undergraduate Thesis, University of Illinois at Urbana-Champaign, May 2009
Other Manuscripts
Media on My Research
Kuang Xu: How to make (and keep) genetic data private?
The Future of Everything Podcast, Episode #163
New Research Suggests In-Person Voting May Be Less Risky Than Previously Thought
National Public Radio (NPR), April 2020
How risky is voting in person? Here's how to navigate your options during the pandemic
Public Broadcasting Service (PBS), 2020
#GetMePPE: Why fully equipping health care workers against coronavirus keeps us all safer
NBC News, March 2020
Model details
Using the vacant hotel rooms for coronavirus patients would help reduce the time for us to get back to normal
Business Insider, April 25, 2020
Model details
Talks
Information-centric thinking in stochastic modeling and decision-making
ACM SIGMETRICS Rising Star Research Award Lecture, 2020
Privacy sequential learning
COLT, 2018
On the capacity of information processing system
COLT, 2016
On the power of (even a little) resource pooling
Cornell ORIE Colloquium, 2013