Tao Han

Tao Han

University of North Carolina at Charlotte

H-index: 28

North America-United States

About Tao Han

Tao Han, With an exceptional h-index of 28 and a recent h-index of 22 (since 2020), a distinguished researcher at University of North Carolina at Charlotte, specializes in the field of Wireless System, AR/MR, Edge Computing, Immersive Computing, Machine Learning.

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

DeepMix: mobility-aware, lightweight, and hybrid 3D object detection for headsets

Distredge: Speeding up convolutional neural network inference on distributed edge devices

Towards secure and intelligent network slicing for 5g networks

NeuLens: spatial-based dynamic acceleration of convolutional neural networks on edge

Deep Reinforcement Learning for End-to-End Network Slicing: Challenges and Solutions

A survey on sleep mode techniques for ultra-dense networks in 5G and beyond

OnSlicing: online end-to-end network slicing with reinforcement learning

Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestration in Mobile Networks

Tao Han Information

University

Position

___

Citations(all)

3216

Citations(since 2020)

1930

Cited By

2150

hIndex(all)

28

hIndex(since 2020)

22

i10Index(all)

57

i10Index(since 2020)

42

Email

University Profile Page

Google Scholar

Tao Han Skills & Research Interests

Wireless System

AR/MR

Edge Computing

Immersive Computing

Machine Learning

Top articles of Tao Han

DeepMix: mobility-aware, lightweight, and hybrid 3D object detection for headsets

2022/6/27

Distredge: Speeding up convolutional neural network inference on distributed edge devices

2022/5/30

Towards secure and intelligent network slicing for 5g networks

IEEE Open Journal of the Computer Society

2022/3/24

NeuLens: spatial-based dynamic acceleration of convolutional neural networks on edge

2022/10/14

Deep Reinforcement Learning for End-to-End Network Slicing: Challenges and Solutions

IEEE Network

2022/8/1

A survey on sleep mode techniques for ultra-dense networks in 5G and beyond

Computer Networks

2021/12/24

OnSlicing: online end-to-end network slicing with reinforcement learning

2021/12/2

Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestration in Mobile Networks

2021/11/1

LiveMap: Real-Time Dynamic Map in Automotive Edge Computing

2021/5/10

FLeX: Trading Edge Computing Resources for Federated Learning via Blockchain

2021/5/10

DeepMix: A Real-time Adaptive Virtual Content Registration System with Intelligent Detection

2021/5/10

DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing

2020/12/7

EdgeSlice: Slicing wireless edge computing network with decentralized deep reinforcement learning

2020/11/1

Evaluation of Wireless Communication Networks on Secondary Control in Underwater Microgrid

2020/10/11

TrustServing: A Quality Inspection Sampling Approach for Remote DNN Services

2020/6/22

Learning-assisted secure end-to-end network slicing for cyber-physical systems

IEEE Network

2020/6/2

Distributed Video Analysis for Mobile Live Broadcasting Services

2020/5/25

FedVision: Federated Video Analytics With Edge Computing

IEEE Open Journal of the Computer Society

2020/5/21

See List of Professors in Tao Han University(University of North Carolina at Charlotte)

Co-Authors

H-index: 27
Gang Wu

Gang Wu

University of Electronic Science and Technology of China

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