Peng Sun
Orcid: 0000-0001-8356-1329Affiliations:
- Duke Kunshan University, Jiangsu, China
- University of Ottawa, Canada (former)
According to our database1,
Peng Sun
authored at least 82 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models.
ACM Comput. Surv., July, 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
Memory-enhanced spatial-temporal encoding framework for industrial anomaly detection system.
Expert Syst. Appl., 2024
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks.
CoRR, 2024
Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks.
CoRR, 2024
The evolution of detection systems and their application for intelligent transportation systems: From solo to symphony.
Comput. Commun., 2024
Guidelines for Parameter Selection in Traffic Light Control Methods Using Reinforcement Learning: Insights from Empirical Studies.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024
SK-SVR-CNN: A Hybrid Approach for Traffic Flow Prediction with Signature PDE Kernel and Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Communications, 2024
Towards Quantification of Covid-19 Intervention Policies from Machine Learning-based Time Series Forecasting Approaches.
Proceedings of the IEEE International Conference on Communications, 2024
Align Before Collaborate: Mitigating Feature Misalignment for Robust Multi-agent Perception.
Proceedings of the Computer Vision - ECCV 2024, 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
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 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
Poster: Towards Accurate and Fast Federated Learning in End-Edge-Cloud Orchestrated Networks.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
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
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
IEEE Access, 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
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
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
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
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
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
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
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
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
Ad Hoc Networks, 2018
Proceedings of the 8th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, 2018
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
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
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the 13th International Conference on Distributed Computing in Sensor Systems, 2017
2016
Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access, 2016
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016
2015
IEEE Wirel. Commun. Lett., 2015
2014