Xiaojun Lin's Research

Research

My research interests are in the analysis, control, and optimization of communication networks and cyber-physical systems. I am particularly interested in understanding the fundamental limits of networked systems and in designing practical algorithms that can greatly improve their performance. The following is a list of the problems that I have recently studied. Towards the end of the list are a few items that I studied in the past.

Ongoing or Recent Projects

Partial Index and Reinforcement Learning
Overfitting and Generalization of Machine Learning Models
Low-Overhead Wireless Control Algorithms for 5G and Beyond
Online Algorithms for Computer Networks and Cyber-Physical Systems

Pricing and Decentralized Control for Power Grid Operations
Learning-based Control for Large and Complex Networked Systems
Graph Matching and Graph Neural Networks

Older Projects

Data-Guided Design and Control of Large and Complex Networks
Achieving both High-Throughput and Low-Delay via Low-Complexity Wireless Control Algorithms
Supporting Delay-Sensitive Applications on Next Generation Packet-Based Wireless Networks
Lifetime Maximization and Delay Minimization for Low Duty-Cycled Wireless Sensor Networks
Cross-layer Design and Low-Complexity Scheduling Algorithms for Multihop Wireless Netwroks
Simplification of Network Dynamics in Large Systems
An Optimization-Based Approach to Quality-of-Service Routing in High-Bandwidth Networks
The Fundamental Capicity-Delay Tradeoff for Large Mobile Wireless Networks
Fast Resource Allocation Algorithms with Network Coding
Provably Assurable Ad Hoc Networks under Byzantine Malicious Behaviors
Video-streaming over Peer-to-Peer Networks