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Jun Wu
教授(任期付)
Professor(non-tenure-track) 教授(任期付)
,
Graduate School of Information, Production and Systems
Website
https://w-rdb.waseda.jp/html/100003146_en.html
h-index
6160
Citations
38
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2003
2024
Research activity per year
Overview
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Research output
(276)
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(6)
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Dive into the research topics where Jun Wu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Computer Science
Artificial Intelligence
48%
Attackers
13%
Backdoors
22%
Beyond 5G
16%
Big Data
26%
Blockchain
93%
Computation Offloading
13%
Computing Resource
23%
Decoding Performance
20%
Deep Reinforcement Learning
18%
Device-To-Device
16%
Differential Privacy
25%
Digital Twin
45%
Edge Computing
20%
Edge Intelligence
15%
Energy Efficiency
20%
Energy Efficient
39%
Experimental Result
17%
Federated Learning
79%
Fog Computing
50%
Incentive Mechanism
27%
Industrial Control System
14%
Industrial Internet of Things
26%
Intelligent Transportation System
29%
Internet of Things
100%
Internet of Vehicles
44%
Internet-Of-Things
20%
Knowledge-Sharing
17%
Machine Learning
16%
Memory Access
16%
Mobile Network
19%
Network Architecture
23%
Network Function Virtualization
24%
Posteriori Probability
19%
Privacy Preserving
68%
Privacy Protection
13%
Proposed Mechanism
15%
Quality of Service
46%
Reflecting Surface
15%
Resource Allocation
26%
Security Assessment
16%
Semisupervised Learning
13%
Sensor Networks
15%
Smart City
48%
Smart Grid
40%
Social Network
28%
Software-Defined Network
40%
Software-Defined Networking
38%
Unmanned Aerial Vehicle
13%
Wireless Sensor Network
42%
Keyphrases
6G Network Architecture
6%
Adversarial Samples
7%
Airbnb
8%
Artificial Intelligence Models
13%
Bias Mitigation
6%
Blockchain
18%
Computing Resources
7%
Convolutional Turbo Code
13%
Copyright
6%
Data Exchange
9%
Data Security
9%
Decoder
8%
Defense Resource Allocation
6%
Demand Incentive
6%
Device-to-device (D2D) Communication
6%
Device-to-device Communication
8%
Digital Twin Model
9%
Driving Event Detection
6%
Edge Computing
13%
Edge Intelligence
13%
Edge Resources
8%
Edge Storage
6%
Energy Efficiency
8%
Energy Internet
19%
Energy-efficient Resource Allocation
8%
Fatigue Detection
6%
Fronthaul Network
6%
Geographical Migration
13%
Industrial Control Systems
13%
Industrial Wireless Sensor Networks
13%
Intelligent Reflecting Surface
8%
Internet of Things
13%
Joint Protection
6%
Learning Dimensions
6%
Learning-based
8%
Malicious Node Detection
6%
Max-min Operator
10%
Multi-dimension Feature
6%
Quality of Service Provisioning
13%
Resource Allocation Problem
7%
Sharing Economy
13%
Software-defined Networking
21%
Spectral Efficiency
6%
Swarm Learning
13%
Traffic Control
7%
Traffic Forwarding
6%
Underlaying Cellular Networks
8%
Vehicular Edge
6%
Vulnerability
12%
Wireless Sensor Networks
19%