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ORCIDXiao Li 0025
Person information
- affiliation: Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Lab, Cambridge, MA, USA
Other persons with the same name
- Xiao Li — disambiguation page
- Xiao Li 0001
![[0000-0001-9660-9053]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9660-9053")
— Southeast University, National Mobile Communications Research Laboratory, Nanjing, China - Xiao Li 0002 — Fudan University, Shanghai, China
- Xiao Li 0003 — Chongqing University, School of Construction Management and Real Estate, China
- Xiao Li 0004 — Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA
- Xiao Li 0005 — University of California, Department of Electrical and Computer Engineering, Davis, CA, USA
- Xiao Li 0006 — Facebook, Inc. (and 2 more)
- Xiao Li 0007 — Chinese Academy of Sciences, Xinjiang Technical Institute of Physics & Chemistry, Urumqi, China
- Xiao Li 0008 — Xidian University, School of Computer Science and Technology, Xidian Xi'an, China
- Xiao Li 0009 — Chinese University of Hong Kong, School of Data Science, Shenzhen, China (and 1 more)
- Xiao Li 0010 — Shandong University, Department of Pharmacy, Jinan, China (and 1 more)
- Xiao Li 0011 — Hebei University of Technology, School of Artificial Intelligence, Tianjin, China
- Xiao Li 0012 — Tianjin University, School of Electrical and Information Engineering, Tianjin Key Laboratory of Process Measurement and Control, China
- Xiao Li 0013 — Boston University, Department of Mechanical Engineering, Brookline, MA, USA
- Xiao Li 0014 — Nanjing University of Posts and Telecommunications, China
- Xiao Li 0015 — Texas A&M University, Department of Geography, College Station, TX, USA
- Xiao Li 0016 — Nankai University, School of Finance, Tianjin, China
- Xiao Li 0017 — National University of Defense Technology, College of Electronic Science, Changsha, China
- Xiao Li 0018 — Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China
- Xiao Li 0019 — Ningxia University, School of Physics and Electronic-Electrical Engineering, Yinchuan, China
- Xiao Li 0020 — Xi'an Jiaotong University, First Affiliated Hospital of Medical College / Institute of Organ Transplantation, China
- Xiao Li 0021 — NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, China (and 1 more)
- Xiao Li 0022 — University of California Berkeley, Department of Electrical Engineering and Computer Sciences, CA, USA
- Xiao Li 0023 — Dalian University of Technology, School of Mechanical Engineering, MoE Key Laboratory for Precision and Non-traditional Machining Technology, China
- Xiao Li 0024 — Northwestern Polytechnical University, School of Automation, Xi'an, China (and 1 more)
- Xiao Li 0026 — University of Michigan, Department of Electrical Engineering & Computer Science, Ann Arbor, MI, USA
- Xiao Li 0027 — University of Texas at Dallas, Department of Computer Science, Richardson, TX, USA (and 1 more)
- Xiao Li 0028 — Tsinghua University, Beijing, China
- Xiao Li 0029 — Roskilde University, Denmark
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2020 – today
- 2023
[j5]Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus:
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. IEEE Robotics Autom. Lett. 8(8): 4737-4744 (2023)- [j4]Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Makram Chahine, Alexander Amini, Xiao Li, Daniela Rus:
BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control. IEEE Trans. Robotics 39(3): 2289-2307 (2023) - [c5]Suzanna Jiwani, Xiao Li, Sertac Karaman, Daniela Rus:
Risk-Aware Neural Navigation From BEV Input for Interactive Driving. ICRA 2023: 5659-5665 - [i3]Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus:
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. CoRR abs/2305.14797 (2023) - 2022
- [j3]Xiao Li, Guy Rosman, Igor Gilitschenski, Brandon Araki, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus:
Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN). IEEE Robotics Autom. Lett. 7(2): 984-991 (2022) - [j2]Brandon Araki, Jeana Choi, Lillian Chin, Xiao Li, Daniela Rus:
Learning Policies by Learning Rules. IEEE Robotics Autom. Lett. 7(2): 1284-1291 (2022) - [c4]Yutong Ban, Xiao Li, Guy Rosman, Igor Gilitschenski, Ozanan R. Meireles, Sertac Karaman, Daniela Rus:
A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. ICRA 2022: 8992-8998 - 2021
- [j1]Xiao Li, Guy Rosman, Igor Gilitschenski, Cristian Ioan Vasile, Jonathan A. DeCastro, Sertac Karaman, Daniela Rus:
Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features. IEEE Robotics Autom. Lett. 6(2): 3459-3466 (2021) - [c3]Xiao Li, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus:
Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor. CoRL 2021: 1326-1335 - [c2]Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus:
The Logical Options Framework. ICML 2021: 307-317 - [i2]Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus:
The Logical Options Framework. CoRR abs/2102.12571 (2021) - [i1]Wei Xiao, Ramin M. Hasani, Xiao Li, Daniela Rus:
BarrierNet: A Safety-Guaranteed Layer for Neural Networks. CoRR abs/2111.11277 (2021) - 2020
- [c1]Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus:
Differentiable Logic Layer for Rule Guided Trajectory Prediction. CoRL 2020: 2178-2194
Coauthor Index
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