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ORCIDXin Huang 0018
Person information
- affiliation: Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Lab, Cambridge, MA, USA
Other persons with the same name
- Xin Huang — disambiguation page
- Xin Huang 0001
![[0000-0002-3650-0301]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3650-0301")
— Hong Kong Baptist University, Hong Kong (and 2 more) - Xin Huang 0002 — Wuhan University, School of Remote Sensing and Information Engineering, China (and 1 more)
- Xin Huang 0003 — University of California at Riverside, Department of Electrical and Computer Engineering, CA, USA
- Xin Huang 0004 — Technical University of Denmark, Lyngby, Denmark
- Xin Huang 0005 — Taiyuan University of Technology, China (and 3 more)
- Xin Huang 0006 — Peking University, Institute of Computer Science and Technology, Beijing, China
- Xin Huang 0007 — Northeast Electric Power University, School of Electrical Engineering, Jilin, China
- Xin Huang 0008 — CYAN, Petaluma, CA, USA (and 2 more)
- Xin Huang 0009 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Xin Huang 0010 — Shanghai Jiao Tong University, Shanghai Jiao Tong University, China
- Xin Huang 0011 — Massachusetts Institute of Technology, Cambridge, MA, USA
- Xin Huang 0012 — Florida International University, Miami, FL, USA
- Xin Huang 0013 — Tongji University, Department of Computer Science and Technology, Shanghai, China
- Xin Huang 0014 — Xi'an Jiaotong University, School of Mechanical Engineering, Xi'an, China
- Xin Huang 0015 — Anshan Normal University, School of Mathematics and Information Science, China (and 1 more)
- Xin Huang 0016 — Harbin Institute of Technology, Research Institute of Electronic Engineering Technology, Harbin, China
- Xin Huang 0017 — Northwest University, College of Urban and Environmental Science, Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an, China
- Xin Huang 0019 — Nanjing University, Software Institute, State Key Laboratory of Novel Software Technology, China
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Journal Articles
- 2022
[j3]Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams:
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures. Auton. Robots 46(1): 269-282 (2022)- 2021
- [j2]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. IEEE Robotics Autom. Lett. 6(3): 4433-4440 (2021) - 2020
- [j1]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman:
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. IEEE Robotics Autom. Lett. 5(4): 5089-5096 (2020)
Conference and Workshop Papers
- 2022
- [c11]Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman:
Trajectory Prediction with Linguistic Representations. ICRA 2022: 2868-2875 - [c10]Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA 2022: 2906-2912 - [c9]Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
TIP: Task-Informed Motion Prediction for Intelligent Vehicles. IROS 2022: 11432-11439 - 2021
- [c8]Sungkweon Hong, Sang Uk Lee, Xin Huang, Majid Khonji, Rashid Alyassi, Brian C. Williams:
An Anytime Algorithm for Chance Constrained Stochastic Shortest Path Problems and Its Application to Aircraft Routing. ICRA 2021: 475-481 - [c7]Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian C. Williams:
Risk Conditioned Neural Motion Planning. IROS 2021: 9057-9063 - [c6]Rashid Alyassi, Majid Khonji, Xin Huang, Sungkweon Hong, Jorge Dias:
Contingency-Aware Intersection System for Autonomous and Human-Driven Vehicles with Bounded Risk. SSRR 2021: 84-91 - 2020
- [c5]Allen Wang, Xin Huang, Ashkan Jasour, Brian Charles Williams:
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures. Robotics: Science and Systems 2020 - 2019
- [c4]Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams:
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. ICAPS 2019: 214-222 - [c3]Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman:
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. ICRA 2019: 9718-9724 - 2018
- [c2]Xin Huang, Ashkan Jasour, Matthew Deyo, Andreas G. Hofmann, Brian C. Williams:
Hybrid Risk-Aware Conditional Planning with Applications in Autonomous Vehicles. CDC 2018: 3608-3614 - 2014
- [c1]Zachary Dodds, Kristina Ming, Christopher Eriksen, Shih-Chieh Hsiung, Xin Huang, Zakkai Davidson:
A Computational Focus For Robotics Education. AAAI Spring Symposia 2014
Informal and Other Publications
- 2023
- [i12]Justin Lidard, Oswin So, Yanxia Zhang, Jonathan A. DeCastro, Xiongyi Cui, Xin Huang, Yen-Ling Kuo, John J. Leonard, Avinash Balachandran, Naomi Ehrich Leonard, Guy Rosman:
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. CoRR abs/2305.17600 (2023) - 2022
- [i11]Majid Khonji, Rashid Alyassi, Wolfgang Merkt, Areg Karapetyan, Xin Huang, Sungkweon Hong, Jorge Dias, Brian C. Williams:
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection. CoRR abs/2210.01766 (2022) - 2021
- [i10]Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian Charles Williams:
Risk Conditioned Neural Motion Planning. CoRR abs/2108.01851 (2021) - [i9]Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams:
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures. CoRR abs/2109.09975 (2021) - [i8]Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. CoRR abs/2110.02344 (2021) - [i7]Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
TIP: Task-Informed Motion Prediction for Intelligent Systems. CoRR abs/2110.08750 (2021) - [i6]Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman:
Trajectory Prediction with Linguistic Representations. CoRR abs/2110.09741 (2021) - 2020
- [i5]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. CoRR abs/2003.08003 (2020) - [i4]Allen Wang, Xin Huang, Ashkan Jasour, Brian C. Williams:
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures. CoRR abs/2005.13458 (2020) - 2019
- [i3]Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman:
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. CoRR abs/1901.05105 (2019) - [i2]Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams:
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. CoRR abs/1904.02341 (2019) - [i1]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. CoRR abs/1911.12736 (2019)
Coauthor Index
aka: Brian Charles Williams
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