Chengzhang Li
Computer Science · The Ohio State University
Publications
59
Citations
797
Est. group size
~2
Recurring co-author estimate
Active years
16
Publishing since 2011
This researcher works on wireless networks and mobile computing, focusing on how to schedule data transmissions so that information stays fresh and reliable, particularly in 5G and Internet-of-Things systems. Related work covers beamforming (a technique for directing wireless signals) in 5G millimeter-wave systems, radar signal processing, and edge computing reliability. A few outlier papers touch on unrelated topics such as museum exhibition design and retail data aggregation, suggesting some collaborative or interdisciplinary side projects.
Publication output rose sharply from 2017 to a peak around 2021-2022, then settled into a steady pace of roughly 6-8 papers per year through 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Study on the exhibition design of red museums based on semiotics-taking the Marshal Ye Jianying Museum as an example keywords
IET conference proceedings. · 2026
- Eywa: A General Framework for Scheduler Design in AoI Optimization
IEEE Internet of Things Journal · 2025
- Real-Time MU-MIMO Beamforming With Limited Channel Samples in 5G Networks
IEEE Transactions on Mobile Computing · 2025
- Flexible Data Aggregation for Prediction and Decision Making with Contextual Information: Applications in Retailing
SSRN Electronic Journal · 2025
- A Real-Time Super-Resolution DoA Estimation Algorithm for Automotive Radar Sensor
IEEE Sensors Journal · 2024
- Pistis: A Scheduler to Achieve Ultra Reliability for URLLC Traffic in 5G O-RAN
IEEE Internet of Things Journal · 2024
- Aequitas: A 5G Scheduler for Minimizing Outdated Information in IoT Networks
IEEE Internet of Things Journal · 2024
- ReDBeam: Real-time MU-MIMO Beamforming with Limited CSI Data Samples
2024
- Scheduling With Soft Age-of-Information Deadlines
IEEE Internet of Things Journal · 2024
- Enhancing Resilience in Mobile Edge Computing Under Processing Uncertainty
IEEE Journal on Selected Areas in Communications · 2023
- Modeling and Optimization of Channel Allocation for PAL and GAA Users in the CBRS Band
IEEE Transactions on Cognitive Communications and Networking · 2023
- Eywa: A General Approach for Scheduler Design in AoI Optimization
2023
- Mostly Beneficial Clustering: Aggregating Data for Operational Decision Making
arXiv (Cornell University) · 2023
- Age of Critical Information: Optimizing Data Freshness Based on Content Criticality
2023
- Scheduling With Age of Information Guarantee
IEEE/ACM Transactions on Networking · 2022
- IEEE Internet of Things Journal×8
- IEEE Transactions on Mobile Computing×5
- arXiv (Cornell University)×3
- IEEE/ACM Transactions on Networking×2
- IET conference proceedings.×2
- Jiayu Pan
Computer Science · The Ohio State University
- Md Kamran Chowdhury Shisher
Computer Science · Purdue University West Lafayette
- Vishrant Tripathi
Computer Science · Purdue University West Lafayette
- Kwang Taik Kim
Computer Science · Purdue University West Lafayette
- Sunjung Kang
Computer Science · 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 19, 2026.
Claim or correct this profile