Xin Huang

Orcid: 0000-0002-9733-6242

Affiliations:

Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Lab, Cambridge, MA, USA

According to our database¹, Xin Huang authored at least 21 papers between 2014 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

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PhD thesis

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Bibliography

2023

GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving.

[BibT_eX]

[DOI]

IROS, 2023

2022

Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection.

[BibT_eX]

[DOI]

CoRR, 2022

Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures.

[BibT_eX]

[DOI]

Auton. Robots, 2022

InterSim: Interactive Traffic Simulation via Explicit Relation Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

TIP: Task-Informed Motion Prediction for Intelligent Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Trajectory Prediction with Linguistic Representations.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

TIP: Task-Informed Motion Prediction for Intelligent Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Contingency-Aware Intersection System for Autonomous and Human-Driven Vehicles with Bounded Risk.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2021

Risk Conditioned Neural Motion Planning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

An Anytime Algorithm for Chance Constrained Stochastic Shortest Path Problems and Its Application to Aircraft Routing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures.

[BibT_eX]

[DOI]

Allen Wang

Xin Huang

Ashkan Jasour

Brian Charles Williams

Proceedings of the Robotics: Science and Systems XVI, 2020

2019

Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling.

[BibT_eX]

[DOI]

CoRR, 2019

Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018

Hybrid Risk-Aware Conditional Planning with Applications in Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2014

A Computational Focus For Robotics Education.

[BibT_eX]

[DOI]

Proceedings of the 2014 AAAI Spring Symposia, 2014

Xin Huang

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