Haoxin Wang

About Haoxin Wang

Haoxin Wang, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at University of North Carolina at Charlotte, specializes in the field of Edge Computing, Sustainable AI, AR/VR, Digital Twins.

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

CarbonCP: Carbon-Aware DNN Partitioning with Conformal Prediction for Sustainable Edge Intelligence

CrowdSourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing

Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices

Poster: Real-Time Object Substitution for Mobile Diminished Reality with Edge Computing

DeepEn2023: Energy Datasets for Edge Artificial Intelligence

Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges

DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks

Data Offloading Rate Determination Using Mean Field Games

Haoxin Wang Information

University

Position

The

Citations(all)

375

Citations(since 2020)

370

Cited By

42

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Haoxin Wang Skills & Research Interests

Edge Computing

Sustainable AI

AR/VR

Digital Twins

Top articles of Haoxin Wang

CarbonCP: Carbon-Aware DNN Partitioning with Conformal Prediction for Sustainable Edge Intelligence

arXiv preprint arXiv:2404.16970

2024/4/25

Wanxin Jin
Wanxin Jin

H-Index: 6

Haoxin Wang
Haoxin Wang

H-Index: 5

CrowdSourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing

IEEE Transactions on Vehicular Technology

2024/4/25

Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices

2023/12/6

Poster: Real-Time Object Substitution for Mobile Diminished Reality with Edge Computing

2023/12/6

Haoxin Wang
Haoxin Wang

H-Index: 5

DeepEn2023: Energy Datasets for Edge Artificial Intelligence

arXiv preprint arXiv:2312.00103

2023/11/30

Anik Mallik
Anik Mallik

H-Index: 2

Haoxin Wang
Haoxin Wang

H-Index: 5

Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges

2023/9/25

Dawei Chen
Dawei Chen

H-Index: 3

Haoxin Wang
Haoxin Wang

H-Index: 5

DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks

IEEE Transactions on Intelligent Transportation Systems

2023/8/1

Data Offloading Rate Determination Using Mean Field Games

2023/6/7

Confidence-based federated distillation for vision-based lane-centering

2023/6/4

EPAM: A predictive energy model for mobile AI

2023/5/28

Methods and Systems for Updating Perception Models Based on Geolocation Features

2023/5/18

Adaptive Delivery for High Definition Map Using A Multi-Arm Bandit Approach

2023/5/5

Dawei Chen
Dawei Chen

H-Index: 3

Haoxin Wang
Haoxin Wang

H-Index: 5

Metamobility: Connecting Future Mobility With the Metaverse

IEEE Vehicular Technology Magazine

2023/4/16

Systems and Methods for Maintaining a Service Session in an Automotive Edge Computing Environment

2023/3/2

Machine-Learning-Based Adaptive Threads Orchestrator Design In The MFG-Based Data Offloading Mechanism

2023/2/2

Time Efficient Offloading Optimization in Automotive Multi-access Edge Computing Networks Using Mean-Field Games

IEEE Transactions on Vehicular Technology

2023/1/14

Fair: Towards impartial resource allocation for intelligent vehicles with automotive edge computing

IEEE Transactions on Intelligent Vehicles

2023/1/6

Haoxin Wang
Haoxin Wang

H-Index: 5

EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing

arXiv preprint arXiv:2201.07973

2022/1/20

Systems and Methods for Scheduling Environment Perception-based Data Offloading for Numerous Connected Vehicles

2022/12/8

Poster: Enabling High-Fidelity and Real-Time Mobility Digital Twin with Edge Computing

2022/12/5

See List of Professors in Haoxin Wang University(University of North Carolina at Charlotte)

Co-Authors

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