Tengchan Zeng

About Tengchan Zeng

Tengchan Zeng, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Virginia Polytechnic Institute and State University, specializes in the field of Wireless communications, Machine Learning, URLLC, Autonomous Systems, Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Convergence of communications, control, and machine learning for secure and autonomous vehicle navigation

Optimized Strategies for Big Data Offloading in Vehicular Ad-Hoc Networks

Distributed Multi-Task Machine Learning for Traffic Prediction

Federated learning on the road: Autonomous controller design for connected and autonomous vehicles

Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)

Joint Communication, Control, and Learning for Connected and Autonomous Vehicles

Federated Learning for Collaborative Controller Design of Connected and Autonomous Vehicles

Performance Analysis of Aircraft-to-Ground Communication Networks in Urban Air Mobility (UAM)

Tengchan Zeng Information

University

Position

___

Citations(all)

594

Citations(since 2020)

546

Cited By

183

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Tengchan Zeng Skills & Research Interests

Wireless communications

Machine Learning

URLLC

Autonomous Systems

Optimization

Top articles of Tengchan Zeng

Convergence of communications, control, and machine learning for secure and autonomous vehicle navigation

IEEE Wireless Communications

2024/2/5

Optimized Strategies for Big Data Offloading in Vehicular Ad-Hoc Networks

2023/6/20

Distributed Multi-Task Machine Learning for Traffic Prediction

2022/12/29

Federated learning on the road: Autonomous controller design for connected and autonomous vehicles

IEEE Transactions on Wireless Communications

2022/6/24

Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)

IEEE Transactions on Wireless Communications

2023/3/20

Joint Communication, Control, and Learning for Connected and Autonomous Vehicles

2021/7/19

Tengchan Zeng
Tengchan Zeng

H-Index: 7

Federated Learning for Collaborative Controller Design of Connected and Autonomous Vehicles

2021/12/14

Performance Analysis of Aircraft-to-Ground Communication Networks in Urban Air Mobility (UAM)

2021 IEEE Global Communications Conference (GLOBECOM)

2021

Multi-Task Federated Learning for Traffic Prediction and Its Application to Route Planning

IEEE Intelligent Vehicles Symposium

2021

Federated learning in the sky: Joint power allocation and scheduling with UAV swarms

2020 IEEE International Conference on Communications (ICC)

2020/2/19

See List of Professors in Tengchan Zeng University(Virginia Polytechnic Institute and State University)

Co-Authors

academic-engine