Yeping Hu
Orcid: 0000-0002-2990-3102
According to our database1,
Yeping Hu
authored at least 23 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Comparative study of machine learning techniques for post-combustion carbon capture systems.
Frontiers Artif. Intell., 2024
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 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
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
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-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
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
2018
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
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