Peng Sun

Orcid: 0000-0001-8356-1329

Affiliations:
  • Duke Kunshan University, Jiangsu, China
  • University of Ottawa, Canada (former)


According to our database1, Peng Sun authored at least 69 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
LEHA: A novel lightweight efficient and highly accurate lane departure warning system.
Multim. Tools Appl., March, 2024

AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System.
IEEE Trans. Ind. Informatics, February, 2024

A novel hierarchical distributed vehicular edge computing framework for supporting intelligent driving.
Ad Hoc Networks, February, 2024

2023
Robust COVID-19 vaccination control in a multi-city dynamic transmission network: A novel reinforcement learning-based approach.
J. Netw. Comput. Appl., October, 2023

A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks.
Comput. Commun., September, 2023

Average age upon decisions with truncated HARQ and optimization in the finite blocklength regime.
Comput. Commun., September, 2023

ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting.
CoRR, 2023

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks.
CoRR, 2023

What2comm: Towards Communication-efficient Collaborative Perception via Feature Decoupling.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Novel Robust Reinforcement Learning-based Dependent Task Offloading Algorithm for Mobile Edge Intelligence.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Novel Multi-Factor Aware Online Scheduling Method for Improving Vehicular Edge Computing Efficiency.
Proceedings of the IEEE International Conference on Communications, 2023

A Novel Efficient Multi-View Traffic-Related Object Detection Framework.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Novel Reinforcement Learning-Based Cooperative Traffic Signal System Through Max-Pressure Control.
IEEE Trans. Veh. Technol., 2022

FECO: An Efficient Deep Reinforcement Learning-Based Fuel-Economic Traffic Signal Control Scheme.
IEEE Trans. Sustain. Comput., 2022

A Novel Two-Mode QoS-Aware Mobile Charger Scheduling Method for Achieving Sustainable Wireless Sensor Networks.
IEEE Trans. Sustain. Comput., 2022

A novel cloud-based traffic aware data routing protocol for smart connected vehicles.
Computing, 2022

A Novel Mixed Method of Machine Learning Based Models in Vehicular Traffic Flow Prediction.
Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems on International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2022

Average Age Upon Decisions of Wireless Networks with Truncated HARQ in the Finite Blocklength Regime.
Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems on International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2022

MF-Net: A Novel Few-shot Stylized Multilingual Font Generation Method.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

CU-DRL: A Novel Deep Reinforcement Learning-assisted Offloading Scheme for Supporting Vehicular Edge Computing.
Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

A Novel Distributed Task Scheduling Framework for Supporting Vehicular Edge Intelligence.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

A Novel Time Efficient Machine Learning-based Traffic Flow Prediction Method for Large Scale Road Network.
Proceedings of the IEEE International Conference on Communications, 2022

Towards A Practical Pedestrian Detection Method for Supporting Autonomous Driving.
Proceedings of the IEEE International Conference on Communications, 2022

SFL: A High-precision Traffic Flow Predictor for Supporting Intelligent Transportation Systems.
Proceedings of the IEEE Global Communications Conference, 2022

2021
A Novel VANET-Assisted Traffic Control for Supporting Vehicular Cloud Computing.
IEEE Trans. Intell. Transp. Syst., 2021

A Novel Joint Optimization Method Based on Mobile Data Collection for Wireless Rechargeable Sensor Networks.
IEEE Trans. Green Commun. Netw., 2021

AI-assisted data dissemination methods for supporting intelligent transportation systems†.
Internet Technol. Lett., 2021

Design of Algorithms and Protocols for Underwater Acoustic Wireless Sensor Networks.
ACM Comput. Surv., 2021

Security Enhancing Method in Vehicular Networks by Exploiting the Accurate Traffic Flow Prediction.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Toward The Design of An Efficient Transparent Traffic Environment Based on Vehicular Edge Computing.
Proceedings of the IEEE Global Communications Conference, 2021

A Novel Machine Learning-Assisted Policy Recommendation Method on COVID-19 Vaccination Campaign.
Proceedings of the 25th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2021

2020
DACON: A Novel Traffic Prediction and Data-Highway-Assisted Content Delivery Protocol for Intelligent Vehicular Networks.
IEEE Trans. Sustain. Comput., 2020

An Energy-Efficient Proactive Handover Scheme for Vehicular Networks Based on Passive RSU Detection.
IEEE Trans. Sustain. Comput., 2020

Efficient Green Protocols for Sustainable Wireless Sensor Networks.
IEEE Trans. Sustain. Comput., 2020

Machine Learning-Based Models for Real-time Traffic Flow Prediction in Vehicular Networks.
IEEE Netw., 2020

SSGRU: A novel hybrid stacked GRU-based traffic volume prediction approach in a road network.
Comput. Commun., 2020

Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems.
Comput. Networks, 2020

Empirical Study and Analysis of the Impact of Traffic Flow Control at Road Intersections on Vehicle Energy Consumption.
Proceedings of the 18th ACM International Symposium on Mobility Management and Wireless Access, 2020

Challenges and Potential Solutions for Designing A Practical Pedestrian Detection Framework for Supporting Autonomous Driving.
Proceedings of the 18th ACM International Symposium on Mobility Management and Wireless Access, 2020

A Novel Joint Data Gathering and Wireless Charging Scheme for Sustainable Wireless Sensor Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

A Delay-Based Deep Learning Approach for Urban Traffic Volume Prediction.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

A Novel Internet-of-Vehicles Assisted Collaborative Low-visible Pedestrian Detection Approach.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Unmanned aerial vehicle-assisted energy-efficient data collection scheme for sustainable wireless sensor networks.
Comput. Networks, 2019

A Novel Travel-Delay Aware Short-Term Vehicular Traffic Flow Prediction Scheme for VANET.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

TVDR: A Novel Traffic Volume Aware Data Routing Protocol for Vehicular Networks.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

A Queueing Model-Assisted Traffic Conditions Estimation Scheme for Supporting Vehicular Edge Computing.
Proceedings of the 30th IEEE Annual International Symposium on Personal, 2019

Challenges of Designing Computer Vision-Based Pedestrian Detector for Supporting Autonomous Driving.
Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2019

A Hybrid Stacked Traffic Volume Prediction Approach for a Sparse Road Network.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

A Novel Data Collector Path Optimization Method for Lifetime Prolonging in Wireless Sensor Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

A Novel Cloudlet-Dwell-Time Estimation Method for Assisting Vehicular Edge Computing Applications.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Modeling and Analysis of Coverage Degree and Target Detection for Autonomous Underwater Vehicle-Based System.
IEEE Trans. Veh. Technol., 2018

A Novel Hierarchical Two-Tier Node Deployment Strategy for Sustainable Wireless Sensor Networks.
IEEE Trans. Sustain. Comput., 2018

Performance modeling and analysis of a UAV path planning and target detection in a UAV-based wireless sensor network.
Comput. Networks, 2018

Connectivity and coverage based protocols for wireless sensor networks.
Ad Hoc Networks, 2018

An Energy-efficient UAV-based Data Aggregation Protocol in Wireless Sensor Networks.
Proceedings of the 8th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, 2018

A Service Slicing Strategy with QoS for LTE-based Cellular Networks.
Proceedings of the 14th ACM International Symposium on QoS and Security for Wireless and Mobile Networks, 2018

An Energy-Efficient Node Deployment Strategy for Energy Harvesting-aided Wireless Sensor Networks.
Proceedings of the 14th ACM International Symposium on QoS and Security for Wireless and Mobile Networks, 2018

A Novel Proactive Handover Scheme for Achieving Energy-Efficient Vehicular Networks.
Proceedings of the 14th ACM International Symposium on QoS and Security for Wireless and Mobile Networks, 2018

A Fast Vehicular Traffic Flow Prediction Scheme Based on Fourier and Wavelet Analysis.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Analysis of Underwater Target Detection Probability by Using Autonomous Underwater Vehicles.
Proceedings of the 13th ACM Symposium on QoS and Security for Wireless and Mobile Networks, 2017

Theoretical analysis of the target detection rules for the UAV-based wireless sensor networks.
Proceedings of the IEEE International Conference on Communications, 2017

A Novel Passive Road Side Unit Detection Scheme in Vehicular Networks.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Theoretical Analysis of the Area Coverage in a UAV-based Wireless Sensor Network.
Proceedings of the 13th International Conference on Distributed Computing in Sensor Systems, 2017

2016
Integrated Connectivity and Coverage Techniques for Wireless Sensor Networks.
Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access, 2016

Random node failures and wireless networks connectivity: A novel recovery scheme.
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016

2015
Random Node Failures and Wireless Networks Connectivity: Theoretical Analysis.
IEEE Wirel. Commun. Lett., 2015

2014
A QoS aware joint design for wireless mesh networks.
Wirel. Networks, 2014


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