Safe and feasible motion generation for autonomous driving via constrained policy net. - Wei Zhan; Jiachen Li 001; Yeping Hu; Masayoshi Tomizuka (IECON, 2017)

A Framework for Probabilistic Generic Traffic Scene Prediction. - Yeping Hu; Wei Zhan; Masayoshi Tomizuka (ITSC, 2018)

Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios. - Wei Zhan; Liting Sun; Yeping Hu; Jiachen Li 001; Masayoshi Tomizuka (ITSC, 2018)

Probabilistic Prediction of Vehicle Semantic Intention and Motion. - Yeping Hu; Wei Zhan; Masayoshi Tomizuka (Intelligent Vehicles Symposium, 2018)

Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios. - Yeping Hu; Alireza Nakhaei; Masayoshi Tomizuka; Kikuo Fujimura (IROS, 2019)

Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors. - Yeping Hu; Liting Sun; Masayoshi Tomizuka (ITSC, 2019)

Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory. - Liting Sun; Wei Zhan; Yeping Hu; Masayoshi Tomizuka (ITSC, 2019)

Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model. - Yeping Hu; Wei Zhan; Liting Sun; Masayoshi Tomizuka (IV, 2019)

Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model. - Yeping Hu; Wei Zhan; Masayoshi Tomizuka (CoRR, 2019)

Multi-agent Interactive Prediction under Challenging Driving Scenarios. - Weihao Xuan; Ruijie Ren; Yeping Hu (CoRR, 2019)

Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving. - Jiachen Li 001; Wei Zhan; Yeping Hu; Masayoshi Tomizuka (IEEE Trans. Intell. Transp. Syst., 2020)

Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction. - Letian Wang; Yeping Hu; Liting Sun; Wei Zhan; Masayoshi Tomizuka; Changliu Liu (CoRR, 2021)

Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction. - Letian Wang; Yeping Hu; Changliu Liu (CoRR, 2021)

Causal-based Time Series Domain Generalization for Vehicle Intention Prediction. - Yeping Hu; Xiaogang Jia; Masayoshi Tomizuka; Wei Zhan (ICRA, 2022)

Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation. - Juanwu Lu; Wei Zhan; Masayoshi Tomizuka; Yeping Hu (IROS, 2022)

Analyzing and Enhancing Closed-loop Stability in Reactive Simulation. - Wei-Jer Chang; Yeping Hu; Chenran Li; Wei Zhan; Masayoshi Tomizuka (ITSC, 2022)

Transferable and Adaptable Driving Behavior Prediction. - Letian Wang; Yeping Hu; Liting Sun; Wei Zhan; Masayoshi Tomizuka; Changliu Liu (CoRR, 2022)

Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction. - Yeping Hu; Wei Zhan; Masayoshi Tomizuka (IEEE Trans. Intell. Transp. Syst., 2022)

Graph Learning in Physical-informed Mesh-reduced Space for Real-world Dynamic Systems. - Yeping Hu; Bo Lei; Victor M. Castillo (KDD, 2023)

Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics. - Brian R. Bartoldson; Yeping Hu; Amar Saini; Jose Cadena; Yucheng Fu; Jie Bao; Zhijie Xu; Brenda Ng; Phan Nguyen (CoRR, 2023)

Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation. - Wei-Jer Chang; Chen Tang 001; Chenran Li; Yeping Hu; Masayoshi Tomizuka; Wei Zhan (IEEE Robotics Autom. Lett., 2023)

Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach. - Juanwu Lu; Wei Zhan; Masayoshi Tomizuka; Yeping Hu (AISTATS, 2024)

Comparative study of machine learning techniques for post-combustion carbon capture systems. - Yeping Hu; Bo Lei; Yash Girish Shah; Jose Cadena; Amar Saini; Grigorios Panagakos; Phan Nguyen (Frontiers Artif. Intell., 2024)

Accelerating computational fluid dynamics simulation of post-combustion carbon capture modeling with MeshGraphNets. - Bo Lei; Yucheng Fu; Jose Cadena; Amar Saini; Yeping Hu; Jie Bao; Zhijie Xu; Brenda Ng; Phan Nguyen (Frontiers Artif. Intell., 2024)

iLoc: An Adaptive, Efficient, and Robust Visual Localization System. - Peng Yin 001; Shiqi Zhao; Jing Wang 193; Ruohai Ge; Jianmin Ji; Yeping Hu; Huaping Liu 001; Jianda Han (IEEE Trans. Robotics, 2025)

Interpreting CFD Surrogates through Sparse Autoencoders. - Yeping Hu; Shusen Liu (CoRR, 2025)