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Yeping Hu
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2020 – today
- 2025
- [j6]Peng Yin, Shiqi Zhao, Jing Wang, Ruohai Ge, Jianmin Ji, Yeping Hu, Huaping Liu, Jianda Han:
iLoc: An Adaptive, Efficient, and Robust Visual Localization System. IEEE Trans. Robotics 41: 2709-2726 (2025) - 2024
- [j5]Yeping Hu, Bo Lei
, Yash Girish Shah, Jose Cadena, Amar Saini, Grigorios Panagakos
, Phan Nguyen
:
Comparative study of machine learning techniques for post-combustion carbon capture systems. Frontiers Artif. Intell. 7 (2024) - [j4]Bo Lei, Yucheng Fu, Jose Cadena, Amar Saini, Yeping Hu, Jie Bao, Zhijie Xu, Brenda Ng, Phan Nguyen:
Accelerating computational fluid dynamics simulation of post-combustion carbon capture modeling with MeshGraphNets. Frontiers Artif. Intell. 7 (2024) - [c13]Juanwu Lu, Wei Zhan, Masayoshi Tomizuka, Yeping Hu:
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach. AISTATS 2024: 4717-4725 - [i19]Juanwu Lu, Wei Zhan, Masayoshi Tomizuka, Yeping Hu:
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach. CoRR abs/2403.06086 (2024) - 2023
- [j3]Wei-Jer Chang
, Chen Tang
, Chenran Li
, Yeping Hu
, Masayoshi Tomizuka
, Wei Zhan
:
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation. IEEE Robotics Autom. Lett. 8(9): 5432-5439 (2023) - [c12]Yeping Hu
, Bo Lei
, Victor M. Castillo
:
Graph Learning in Physical-informed Mesh-reduced Space for Real-world Dynamic Systems. KDD 2023: 4166-4174 - [i18]Wei-Jer Chang, Chen Tang, Chenran Li, Yeping Hu, Masayoshi Tomizuka, Wei Zhan:
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation. CoRR abs/2303.13830 (2023) - [i17]Brian R. Bartoldson
, Yeping Hu, Amar Saini, Jose Cadena, Yucheng Fu, Jie Bao, Zhijie Xu, Brenda Ng, Phan Nguyen
:
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics. CoRR abs/2304.00338 (2023) - 2022
- [j2]Yeping Hu
, Wei Zhan
, Masayoshi Tomizuka
:
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction. IEEE Trans. Intell. Transp. Syst. 23(12): 23212-23230 (2022) - [c11]Yeping Hu, Xiaogang Jia, Masayoshi Tomizuka, Wei Zhan:
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction. ICRA 2022: 7806-7813 - [c10]Juanwu Lu
, Wei Zhan, Masayoshi Tomizuka, Yeping Hu:
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation. IROS 2022: 13430-13437 - [c9]Wei-Jer Chang, Yeping Hu, Chenran Li, Wei Zhan, Masayoshi Tomizuka:
Analyzing and Enhancing Closed-loop Stability in Reactive Simulation. ITSC 2022: 3665-3672 - [i16]Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu:
Transferable and Adaptable Driving Behavior Prediction. CoRR abs/2202.05140 (2022) - [i15]Juanwu Lu, Wei Zhan, Masayoshi Tomizuka, Yeping Hu:
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation. CoRR abs/2208.03578 (2022) - [i14]Wei-Jer Chang, Yeping Hu, Chenran Li, Wei Zhan, Masayoshi Tomizuka:
Analyzing and Enhancing Closed-loop Stability in Reactive Simulation. CoRR abs/2208.04559 (2022) - 2021
- [i13]Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu:
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction. CoRR abs/2111.00788 (2021) - [i12]Yeping Hu, Xiaogang Jia, Masayoshi Tomizuka, Wei Zhan:
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction. CoRR abs/2112.02093 (2021) - [i11]Letian Wang, Yeping Hu, Changliu Liu:
Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction. CoRR abs/2112.06129 (2021) - 2020
- [j1]Jiachen Li
, Wei Zhan, Yeping Hu
, Masayoshi Tomizuka
:
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 21(9): 3634-3649 (2020) - [i10]Yeping Hu, Wei Zhan, Masayoshi Tomizuka:
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction. CoRR abs/2004.03053 (2020)
2010 – 2019
- 2019
- [c8]Yeping Hu, Alireza Nakhaei, Masayoshi Tomizuka, Kikuo Fujimura:
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios. IROS 2019: 151-158 - [c7]Yeping Hu, Liting Sun, Masayoshi Tomizuka:
Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors. ITSC 2019: 3539-3546 - [c6]Liting Sun, Wei Zhan, Yeping Hu, Masayoshi Tomizuka:
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory. ITSC 2019: 4329-4335 - [c5]Yeping Hu, Wei Zhan, Liting Sun, Masayoshi Tomizuka:
Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model. IV 2019: 557-563 - [i9]Yeping Hu, Wei Zhan, Masayoshi Tomizuka:
Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model. CoRR abs/1903.09381 (2019) - [i8]Yeping Hu, Alireza Nakhaei, Masayoshi Tomizuka, Kikuo Fujimura:
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios. CoRR abs/1904.06025 (2019) - [i7]Liting Sun, Wei Zhan, Yeping Hu, Masayoshi Tomizuka:
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory. CoRR abs/1907.08707 (2019) - [i6]Yeping Hu, Liting Sun, Masayoshi Tomizuka:
Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors. CoRR abs/1907.10170 (2019) - [i5]Jiachen Li, Wei Zhan, Yeping Hu, Masayoshi Tomizuka:
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving. CoRR abs/1908.09031 (2019) - [i4]Weihao Xuan, Ruijie Ren, Yeping Hu:
Multi-agent Interactive Prediction under Challenging Driving Scenarios. CoRR abs/1909.10737 (2019) - 2018
- [c4]Yeping Hu, Wei Zhan, Masayoshi Tomizuka:
A Framework for Probabilistic Generic Traffic Scene Prediction. ITSC 2018: 2790-2796 - [c3]Wei Zhan, Liting Sun, Yeping Hu, Jiachen Li, Masayoshi Tomizuka:
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios. ITSC 2018: 3274-3280 - [c2]Yeping Hu, Wei Zhan, Masayoshi Tomizuka:
Probabilistic Prediction of Vehicle Semantic Intention and Motion. Intelligent Vehicles Symposium 2018: 307-313 - [i3]Yeping Hu, Wei Zhan, Masayoshi Tomizuka:
Probabilistic Prediction of Vehicle Semantic Intention and Motion. CoRR abs/1804.03629 (2018) - [i2]Wei Zhan, Liting Sun, Yeping Hu, Jiachen Li, Masayoshi Tomizuka:
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios. CoRR abs/1809.03478 (2018) - [i1]Yeping Hu, Wei Zhan, Masayoshi Tomizuka:
A Framework for Probabilistic Generic Traffic Scene Prediction. CoRR abs/1810.12506 (2018) - 2017
- [c1]Wei Zhan, Jiachen Li, Yeping Hu, Masayoshi Tomizuka:
Safe and feasible motion generation for autonomous driving via constrained policy net. IECON 2017: 4588-4593
Coauthor Index

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last updated on 2025-05-05 00:30 CEST by the dblp team
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