Jie Cheng

Orcid: 0000-0002-1507-0074

Affiliations:
  • Hong Kong University of Science and Technology (HKUST), Robotics Institute, Sai Kung, Hong Kong


According to our database1, Jie Cheng authored at least 23 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning.
CoRR, May, 2025

2024
IR-STP: Enhancing Autonomous Driving With Interaction Reasoning in Spatio-Temporal Planning.
IEEE Trans. Intell. Transp. Syst., August, 2024

LHPF: Look back the History and Plan for the Future in Autonomous Driving.
CoRR, 2024

PlanScope: Learning to Plan Within Decision Scope Does Matter.
CoRR, 2024

RiskMap: A Unified Driving Context Representation for Autonomous Motion Planning in Urban Driving Environment.
CoRR, 2024

PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving.
CoRR, 2024

Efficient Global Navigational Planning in 3D Structures based on Point Cloud Tomography.
CoRR, 2024

Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion".
CoRR, 2024

RiskMap: A Unified Driving Context Representation for Autonomous Motion Planning in Urban Driving Environment.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024

A Generic Trajectory Planning Method for Constrained All-Wheel-Steering Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Rethinking Imitation-based Planners for Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions.
CoRR, 2023

Rethinking Imitation-based Planner for Autonomous Driving.
CoRR, 2023

Velocity Field: An Informative Traveling Cost Representation for Trajectory Planning.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

FCUS: Traffic Rule-Aware Vehicle Trajectory Forecasting Using Continuous Unlikelihood and Signal Temporal Logic Feature.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Efficient Speed Planning for Autonomous Driving in Dynamic Environment With Interaction Point Model.
IEEE Robotics Autom. Lett., 2022

Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement.
CoRR, 2022

MPNP: Multi-Policy Neural Planner for Urban Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation.
IEEE Robotics Autom. Mag., 2021

2020
Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak.
CoRR, 2020


  Loading...