Xiaojun Lin
Engineering · Purdue University West Lafayette
Publications
200
Citations
4,905
Est. group size
~1
Recurring co-author estimate
Active years
27
Publishing since 2000
Xiaojun Lin's research focuses on the design and analysis of networked systems, including wireless and cloud-edge networks, resource allocation and scheduling algorithms, and control methods for smart grids and energy systems. Much of the work combines mathematical optimization, online learning, and control theory to improve efficiency and robustness in areas like federated learning, edge computing, demand response, and wireless scheduling. The publication record also includes some titles on unrelated topics (e.g., biomaterials, dynamical systems, robotic vehicle control), which may reflect collaborations outside the core research area.
Publication output has fluctuated over the last decade, with a peak in 2019 and a general decline in recent years, averaging about 6-7 papers per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Index Policies for RMAB Problems with Varying Capacity and Global State Dependency
2026
- Poster: Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding
2026
- Scheduling cloud–edge federated learning under demand response with carbon neutrality
Computer Networks · 2026
- Toward Cost-Efficient Online Transfer Learning in Distributed Cloud-Edge Networks
IEEE Transactions on Networking · 2025
- Path tracking of autonomous driving robotic vehicle based on improved model predictive control
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 2025
- Online learning-based feedforward-feedback control for path tracking of driving robot-vehicle
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 2025
- Engineering cell membrane-camouflaged COF-based nanosatellite for enhanced tumor-targeted photothermal chemoimmunotherapy
Biomaterials · 2024
- Toward Market-Assisted AI: Cloud Inference for Streamed Data via Model Ensembles From Auctions
IEEE Transactions on Networking · 2024
- On the Active-Time Condition for Partial Indexability and Application to Heterogeneous-Channel AoI Minimization
2024
- Robust Low-Overhead Control of DER Reactive Power Under Adversarial Attacks and Uncertainty
2024
- Code-Based English Models Surprising Performance on Chinese QA Pair Extraction Task
arXiv (Cornell University) · 2024
- The entropy formula of shrinking target problem in nonautonomous dynamical systems
Dynamical Systems · 2024
- A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes
IEEE Transactions on Circuits and Systems for Video Technology · 2023
- The Effect of Symmetry on the De-Anonymizability of Social Networks
IEEE Transactions on Information Theory · 2023
- Toward Sustainable AI: Federated Learning Demand Response in Cloud-Edge Systems via Auctions
2023
- arXiv (Cornell University)×15
- IEEE/ACM Transactions on Networking×4
- IEEE Transactions on Smart Grid×3
- IEEE Transactions on Networking×3
- IEEE Transactions on Information Theory×2
- Ness B. Shroff
Engineering · The Ohio State University
- Xiaojun Lin
Engineering · Purdue University West Lafayette
- Mung Chiang
Engineering · Purdue University West Lafayette
- Atilla Eryılmaz
Engineering · The Ohio State University
- Irem Koprulu
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile