Lei Peng

Orcid: 0000-0002-0124-140X

Affiliations:
  • Chinese Academy of Sciences, Autonomous Driving Technology, Shenzhen, China
  • University of Electronic Science and Technology of China, Department of Computer Science, China (PhD 2009)


According to our database1, Lei Peng authored at least 30 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Probabilistic Model-Based Reinforcement Learning Unmanned Surface Vehicles Using Local Update Sparse Spectrum Approximation.
IEEE Trans. Ind. Informatics, February, 2024

Toward Directed Spatiotemporal Graph: A New Idea for Heterogeneous Traffic Prediction.
IEEE Intell. Transp. Syst. Mag., 2024

Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability.
CoRR, 2024

Efficient Collaborative Multi-Agent Driving via Cross-Attention and Concise Communication.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
Large-Scale Parking Data Prediction: From A Graph Coarsening Perspective.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Efficient Large-Scale Parking Data Prediction Based on Parking Zone Division.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

TEDGCN: Asymmetric Spatiotemporal GNN for Heterogeneous Traffic Prediction.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Filtered Probabilistic Model Predictive Control-Based Reinforcement Learning for Unmanned Surface Vehicles.
IEEE Trans. Ind. Informatics, 2022

Limited Sensing and Deep Data Mining: A New Exploration of Developing City-Wide Parking Guidance Systems.
IEEE Intell. Transp. Syst. Mag., 2022

Exploration of Adaptive Energy Optimization for 5G Roadside Unit.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Sensing Intrusion Detection for Automatic Driving System based on Scene Semantic Centroid.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Data-Driven Probabilistic Model of Magneto-Rheological Damper for Intelligent Vehicles using Gaussian Processes.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Research and Practice on the Construction of Connected Vehicle in the Greater Bay Area under the Smart City.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Integrated Prediction of Regional Traffic Situation Based on Multi-Task Spatial-Temporal Network.
Proceedings of the IECON 2021, 2021

2020
Integration of FOC With DFVC for Interior Permanent Magnet Synchronous Machine Drives.
IEEE Access, 2020

Customized Parking Data Generation based on Multi-conditional GAN.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
ParkingRank-D: A Spatial-temporal Ranking Model of Urban Parking Lots in City-wide Parking Guidance System.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

MMSE-based Optimized Transfer Strategy for Transfer Prediction of Parking Data.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Crowd-parking: A New Idea of Parking Guidance Based on Crowdsourcing of Parking Location Information from Automobiles.
Proceedings of the IECON 2019, 2019

Combining Deep Gaussian Process and Rule-Based Method for Decision-Making in Self-Driving Simulation with Small Data.
Proceedings of the 15th International Conference on Computational Intelligence and Security, 2019

2018
Exploration on Spatiotemporal Data Repairing of Parking Lots Based on Recurrent GANs.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

FLOPS: An Efficient and High-precision Prediction on Available Parking Spaces in a Long Time-span.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

SAW: A Hybrid Prediction Model for Parking Occupancy Under the Environment of Lacking Real-Time Data.
Proceedings of the IECON 2018, 2018

Parking rank: A novel method of parking lots sorting and recommendation based on public information.
Proceedings of the IEEE International Conference on Industrial Technology, 2018

Application of DCGAN in Data Repair of Parking Lots.
Proceedings of the IEEE International Conference on Information and Automation, 2018

2017
Real-Time parking guidance model based on stackelberg game.
Proceedings of the IEEE International Conference on Information and Automation, 2017

ACPP: An effective privacy preserving scheme for precise location sharing in internet of vehicles.
Proceedings of the IEEE International Conference on Information and Automation, 2017

2016
Searching parking spaces in urban environments based on non-stationary Poisson process analysis.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2013
Threat on Physical Layer Security: Side Channel vs. Wiretap Channel.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

2008
A fast and adaptive ICA algorithm with its application to fetal electrocardiogram extraction.
Appl. Math. Comput., 2008


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