Peng Chen

Orcid: 0000-0002-8076-8989

Affiliations:
  • Beihang University, School of Transportation Science and Engineering, Beijing, China


According to our database1, Peng Chen authored at least 56 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Risk-Tolerant On-Site Dispatch for Autonomous Mining Truck Fleets With Uncertain Failure Signs.
IEEE Trans. Intell. Transp. Syst., May, 2026

Learning Rollout from Sampling: An R1-Style Tokenized Traffic Simulation Model.
IEEE Robotics Autom. Lett., May, 2026

Cooperative Motion Planning for Multiple Autonomous Mining Trucks in Dumping Area of Open-Pit Mines.
IEEE Trans. Veh. Technol., March, 2026

Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model.
CoRR, March, 2026

Parking Trajectory Planning for Autonomous Mining Trucks: A Global Optimal Method Based on Divide-and-Conquer Strategy.
IEEE Trans. Veh. Technol., February, 2026

Multi-modal vehicle trajectory prediction via hierarchical attention and raster-vector maps encoding in unstructured road environments.
Eng. Appl. Artif. Intell., 2026

2025
Real-Time Cooperative Trajectory Planning for Multiple CAVs at Unstructured Intersections: A Computational Optimal Control Approach.
IEEE Trans. Intell. Transp. Syst., November, 2025

Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning.
CoRR, November, 2025

SpecExit: Accelerating Large Reasoning Model via Speculative Exit.
CoRR, September, 2025

Tequila: Trapping-free Ternary Quantization for Large Language Models.
CoRR, September, 2025

SQLGovernor: An LLM-powered SQL Toolkit for Real World Application.
CoRR, September, 2025

Efficient Sampling-Based Trajectory Planning With Dual-Layer Probabilistic Intention Prediction for Autonomous Driving in Complex Intersections.
IEEE Trans. Veh. Technol., August, 2025

RailFusion: A Lidar-Camera Data Interaction Network for 3-D Railway Object Detection.
IEEE Trans. Intell. Transp. Syst., August, 2025

SiriusBI: A Comprehensive LLM-powered Solution for Data Analytics in Business Intelligence.
Proc. VLDB Endow., August, 2025

Reinforcement Learning-Based Adaptive Safety Tracking Controller for Autonomous Mining Trucks.
IEEE Trans. Veh. Technol., July, 2025

HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels.
CoRR, July, 2025

WaveCRNet: Wavelet Transform-Guided Learning for Semantic Segmentation in Adverse Railway Scenes.
IEEE Trans. Intell. Transp. Syst., June, 2025

Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material.
CoRR, June, 2025

Hybrid Path Tracking Control for Autonomous Trucks: Integrating Pure Pursuit and Deep Reinforcement Learning With Adaptive Look-Ahead Mechanism.
IEEE Trans. Intell. Transp. Syst., May, 2025

Adaptive Path-Tracking Controller Embedded With Reinforcement Learning and Preview Model for Autonomous Driving.
IEEE Trans. Veh. Technol., March, 2025

Real-Time Navigation of Unmanned Ground Vehicles in Complex Terrains With Enhanced Perception and Memory-Guided Strategies.
IEEE Trans. Veh. Technol., March, 2025

Anomaly Detection for Aircraft Control System Based on Prediction and Residual Estimation With Dual Temporal Convolutional Networks.
IEEE Trans. Instrum. Meas., 2025

Multilevel Health Monitoring of Autonomous Mining Trucks Under Complex Time-Varying Conditions.
IEEE Trans. Instrum. Meas., 2025

RailBEV: A Vision-Based Bird's-Eye-View Representation Network for 3-D Railway Object Detection.
IEEE Trans. Instrum. Meas., 2025

Oceanus: Enable SLO-Aware Vertical Autoscaling for Cloud-Native Streaming Services in Tencent.
Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

Leveraging Light-Weight Multi-Modal Large Model for UAV-Based Highway Inspection Systems.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

DataLab: A Unified Platform for LLM-Powered Business Intelligence.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024
Dynamic Origin-Destination Flow Imputation Using Feature-Based Transfer Learning.
IEEE Trans. Intell. Transp. Syst., November, 2024

A hierarchical control framework for alleviating network traffic bottleneck congestion using vehicle trajectory data.
J. Intell. Transp. Syst., November, 2024

An Integrated Framework of Lateral and Longitudinal Behavior Decision-Making for Autonomous Driving Using Reinforcement Learning.
IEEE Trans. Veh. Technol., July, 2024

Collaborative Trajectory Planning for Autonomous Mining Trucks: A Grouping and Prioritized Optimization Based Approach.
IEEE Trans. Veh. Technol., May, 2024

Trajectory Planning for Autonomous Driving in Unstructured Scenarios Based on Deep Learning and Quadratic Optimization.
IEEE Trans. Veh. Technol., April, 2024

Region-Based Hybrid Collaborative Perception for Connected Autonomous Vehicles.
IEEE Trans. Veh. Technol., March, 2024

Integration of Decision-Making and Motion Planning for Autonomous Driving Based on Double-Layer Reinforcement Learning Framework.
IEEE Trans. Veh. Technol., March, 2024

SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models.
CoRR, 2024

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition.
CoRR, 2024

A Truck Path Tracking Controller Based on Combined Pure Pursuit and Deep Reinforcement Learning.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Event-Triggered Mechanism-Based MPC for Path-Tracking Control of Four-Wheel Steering Vehicles.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Dual-Layer Path Planning for Unmanned Ground Vehicles Based on Probabilistic Roadmap and Proximal Policy Optimization.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

2023
A Secure Trajectory Planning Method for Connected Autonomous Vehicles at Mining Site.
Symmetry, November, 2023

RailDepth: A Self-Supervised Network for Railway Depth Completion Based on a Pooling-Guidance Mechanism.
IEEE Trans. Instrum. Meas., 2023

Towards General and Efficient Online Tuning for Spark.
Proc. VLDB Endow., 2023

Lateral Motion Control for Obstacle Avoidance in Autonomous Driving Based on Deep Reinforcement Learning.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Optimization-Based Trajectory Planning for Autonomous Driving at Mining Area with Irregular Boundary.
Proceedings of the International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023

2022
A Topology Guided Method for Rail-Track Detection.
IEEE Trans. Veh. Technol., 2022

FarNet: An Attention-Aggregation Network for Long-Range Rail Track Point Cloud Segmentation.
IEEE Trans. Intell. Transp. Syst., 2022

Object Classification Based on Enhanced Evidence Theory: Radar-Vision Fusion Approach for Roadside Application.
IEEE Trans. Instrum. Meas., 2022

2021
Semantic-Level Maneuver Sampling and Trajectory Planning for On-Road Autonomous Driving in Dynamic Scenarios.
IEEE Trans. Veh. Technol., 2021

A Particle Filter-Based Approach for Vehicle Trajectory Reconstruction Using Sparse Probe Data.
IEEE Trans. Intell. Transp. Syst., 2021

2020
Cycle-Based End of Queue Estimation at Signalized Intersections Using Low-Penetration-Rate Vehicle Trajectories.
IEEE Trans. Intell. Transp. Syst., 2020

Reliable shortest path finding in stochastic time-dependent road network with spatial-temporal link correlations: A case study from Beijing.
Expert Syst. Appl., 2020

2019
Modeling arterial travel time distribution by accounting for link correlations: a copula-based approach.
J. Intell. Transp. Syst., 2019

Trajectory Reconstruction Using Automated Vehicles Motion Detection Data: A Hybrid Approach Integrating Wiedemann Model and Cellular Automation.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

An Adaptive Control Method for Arterial Signal Coordination Based on Deep Reinforcement Learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
The α-reliable path problem in stochastic road networks with link correlations: A moment-matching-based path finding algorithm.
Expert Syst. Appl., 2018

2017
A hybrid deep learning approach for urban expressway travel time prediction considering spatial-temporal features.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017


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