Yeping Hu

Orcid: 0000-0002-2990-3102

According to our database1, Yeping Hu authored at least 22 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach.
CoRR, 2024

2023
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation.
IEEE Robotics Autom. Lett., September, 2023

Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics.
CoRR, 2023

Graph Learning in Physical-informed Mesh-reduced Space for Real-world Dynamic Systems.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction.
IEEE Trans. Intell. Transp. Syst., 2022

Transferable and Adaptable Driving Behavior Prediction.
CoRR, 2022

Analyzing and Enhancing Closed-loop Stability in Reactive Simulation.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Causal-based Time Series Domain Generalization for Vehicle Intention Prediction.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction.
CoRR, 2021

Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction.
CoRR, 2021

2020
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2020

2019
Multi-agent Interactive Prediction under Challenging Driving Scenarios.
CoRR, 2019

Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model.
CoRR, 2019

Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Probabilistic Prediction of Vehicle Semantic Intention and Motion.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

A Framework for Probabilistic Generic Traffic Scene Prediction.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Safe and feasible motion generation for autonomous driving via constrained policy net.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017


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