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Yeping Hu
Yeping Hu
Research Scientist @ Lawrence Livermore National Laboratory | Ph.D. @ UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Probabilistic prediction of vehicle semantic intention and motion
Y Hu, W Zhan, M Tomizuka
2018 IEEE Intelligent Vehicles Symposium (IV), 307-313, 2018
1562018
Interaction-aware decision making with adaptive strategies under merging scenarios
Y Hu, A Nakhaei, M Tomizuka, K Fujimura
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
632019
Generic tracking and probabilistic prediction framework and its application in autonomous driving
J Li, W Zhan, Y Hu, M Tomizuka
IEEE Transactions on Intelligent Transportation Systems 21 (9), 3634-3649, 2019
502019
Multi-modal probabilistic prediction of interactive behavior via an interpretable model
Y Hu, W Zhan, L Sun, M Tomizuka
2019 IEEE Intelligent Vehicles Symposium (IV), 557-563, 2019
492019
A framework for probabilistic generic traffic scene prediction
Y Hu, W Zhan, M Tomizuka
2018 21st International Conference on Intelligent Transportation Systems …, 2018
432018
Interpretable modelling of driving behaviors in interactive driving scenarios based on cumulative prospect theory
L Sun, W Zhan, Y Hu, M Tomizuka
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 4329-4335, 2019
402019
Scenario-transferable semantic graph reasoning for interaction-aware probabilistic prediction
Y Hu, W Zhan, M Tomizuka
IEEE Transactions on Intelligent Transportation Systems, 2022
352022
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
Y Hu, X Jia, M Tomizuka, W Zhan
2022 International Conference on Robotics and Automation (ICRA), 7806-7813, 2022
292022
Towards a fatality-aware benchmark of probabilistic reaction prediction in highly interactive driving scenarios
W Zhan, L Sun, Y Hu, J Li, M Tomizuka
2018 21st International Conference on Intelligent Transportation Systems …, 2018
262018
Transferable and adaptable driving behavior prediction
L Wang, Y Hu, L Sun, W Zhan, M Tomizuka, C Liu
arXiv preprint arXiv:2202.05140, 2022
252022
Generic prediction architecture considering both rational and irrational driving behaviors
Y Hu, L Sun, M Tomizuka
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3539-3546, 2019
252019
Interaction-aware decision making
Y Hu, AN Sarvedani, M Tomizuka, K Fujimura
US Patent 11,093,829, 2021
212021
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction
L Wang, Y Hu, L Sun, W Zhan, M Tomizuka, C Liu
35th Conference on Neural Information Processing Systems (NeurIPS 2021 …, 2021
202021
Safe and feasible motion generation for autonomous driving via constrained policy net
W Zhan, J Li, Y Hu, M Tomizuka
IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017
142017
Generalizability analysis of graph-based trajectory predictor with vectorized representation
J Lu, W Zhan, M Tomizuka, Y Hu
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
62022
Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction
L Wang, Y Hu, C Liu
36th AAAI Conference on Artificial Intelligence 2022, Workshop on Human …, 2021
52021
Analyzing and enhancing closed-loop stability in reactive simulation
WJ Chang, Y Hu, C Li, W Zhan, M Tomizuka
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
22022
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation
WJ Chang, C Tang, C Li, Y Hu, M Tomizuka, W Zhan
arXiv preprint arXiv:2303.13830, 2023
12023
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach
J Lu, W Zhan, M Tomizuka, Y Hu
arXiv preprint arXiv:2403.06086, 2024
2024
Graph Learning in Physical-informed Mesh-reduced Space for Real-world Dynamic Systems
Y Hu, B Lei, VM Castillo
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
2023
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