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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Links

Online presence:

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Bibliography

2023
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction.
CoRR, 2023

P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving.
IROS, 2023

2022
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection.
CoRR, 2022

Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures.
Auton. Robots, 2022

InterSim: Interactive Traffic Simulation via Explicit Relation Modeling.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

TIP: Task-Informed Motion Prediction for Intelligent Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Trajectory Prediction with Linguistic Representations.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy.
IEEE Robotics Autom. Lett., 2021

TIP: Task-Informed Motion Prediction for Intelligent Systems.
CoRR, 2021

Contingency-Aware Intersection System for Autonomous and Human-Driven Vehicles with Bounded Risk.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2021

Risk Conditioned Neural Motion Planning.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling.
IEEE Robotics Autom. Lett., 2020

Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures.
Proceedings of the Robotics: Science and Systems XVI, 2020

2019
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling.
CoRR, 2019

Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections.
Proceedings of the International Conference on Robotics and Automation, 2019

Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018
Hybrid Risk-Aware Conditional Planning with Applications in Autonomous Vehicles.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2014
A Computational Focus For Robotics Education.
Proceedings of the 2014 AAAI Spring Symposia, 2014


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