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ORCIDQin Lin 0001
Person information
- affiliation: University of Houston, Cullen College of Engineering, Department of Engineering Technology and the Department of Electrical and Computer Engineering, Houston, TX, USA
- affiliation: Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
- affiliation: Cleveland State University, Department of Electrical Engineering and Computer Science, Cleveland, OH, USA
- affiliation (PhD 2019): Delft University of Technology, Department of Intelligent Systems, Delft, The Netherlands
Other persons with the same name
- Qin Lin — disambiguation page
- Qin Lin 0002
![[0000-0002-2310-027X]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-2310-027X")
— Guangdong Medical University, School of Biomedical Engineering, School of Information Engineering, China - Qin Lin 0003 — Tencent Inc., Tencent Hunyuan, China
- Qin Lin 0004 — ByteDance, Hangzhou, China
- Qin Lin 0005 — Tongji University School of Medicine, Research Center for Translational Medicine, Department of Pathology and Pathophysiology, China
- Qin Lin 0006 — East China Normal University, School of Business Administration, Faculty of Economics and Management, Shanghai, China
- Qin Lin 0007 — Donghua University, College of Information Science and Technology, Shanghai, China
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2020 – today
- 2025
[c18]Dvij Kalaria, Qin Lin, John M. Dolan:
Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning. IROS 2025: 2345-2351- [i17]Fan Zhang, Jinfeng Chen, Joseph J. B. Mvogo Ahanda, Hanz Richter, Ge Lv, Bin Hu, Qin Lin:
Disturbance Compensation for Safe Kinematic Control of Robotic Systems with Closed Architecture. CoRR abs/2512.05292 (2025) - 2024
- [j7]Miao Yu, Qin Lin, Ge Lv:
Safety Augmentation for Volitional Human Locomotion via Lower-Limb Exoskeletons: A Case Study. IEEE Control. Syst. Lett. 8: 778-783 (2024) - [j6]Jinfeng Chen, Fan Zhang, Bin Hu, Qin Lin:
Quadrotor Fault-Tolerant Control at High Speed: A Model-Based Extended State Observer for Mismatched Disturbance Rejection Approach. IEEE Control. Syst. Lett. 8: 2895-2900 (2024) - [j5]Dvij Kalaria, Qin Lin, John M. Dolan:
Delay-Aware Robust Control for Safe Autonomous Driving and Racing. IEEE Trans. Intell. Transp. Syst. 25(7): 7140-7150 (2024) - [c17]Fan Zhang, Jinfeng Chen, Yu Hu, Zhiqiang Gao, Ge Lv, Qin Lin:
Disturbance Rejection-Guarded Learning for Vibration Suppression of Two-Inertia Systems. CASE 2024: 3418-3424 - [c16]Dvij Kalaria, Qin Lin, John M. Dolan:
Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine. ICRA 2024: 10443-10449 - [i16]Fan Zhang, Jinfeng Chen, Yu Hu, Zhiqiang Gao, Ge Lv, Qin Lin:
Disturbance Rejection-Guarded Learning for Vibration Suppression of Two-Inertia Systems. CoRR abs/2404.10240 (2024) - [i15]Dvij Kalaria, Qin Lin, John M. Dolan:
Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning. CoRR abs/2410.06570 (2024) - 2023
- [c15]Srujan Deolasee, Qin Lin, Jialun Li, John M. Dolan:
Spatio-temporal Motion Planning for Autonomous Vehicles with Trapezoidal Prism Corridors and Bézier Curves. ACC 2023: 3207-3214 - [c14]Jinfeng Chen, Zhiqiang Gao, Qin Lin:
Robust Control Barrier Functions for Safe Control Under Uncertainty Using Extended State Observer and Output Measurement. CDC 2023: 8477-8482 - [c13]Colman McGuan, Chansu Yu, Qin Lin:
Towards Low-Barrier Cybersecurity Research and Education for Industrial Control Systems. ISI 2023: 1-6 - [i14]Dvij Kalaria, Qin Lin, John M. Dolan:
Towards Safety Assured End-to-End Vision-Based Control for Autonomous Racing. CoRR abs/2303.02267 (2023) - [i13]Dvij Kalaria, Qin Lin, John M. Dolan:
Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine. CoRR abs/2303.08235 (2023) - [i12]Dvij Kalaria, Qin Lin, John M. Dolan:
Towards Optimal Head-to-head Autonomous Racing with Curriculum Reinforcement Learning. CoRR abs/2308.13491 (2023) - [i11]Jinfeng Chen, Zhiqiang Gao, Qin Lin:
Robust Control Barrier Functions for Safe Control Under Uncertainty Using Extended State Observer and Output Measurement. CoRR abs/2308.13943 (2023) - [i10]Colman McGuan, Chansu Yu, Qin Lin:
Towards Low-Barrier Cybersecurity Research and Education for Industrial Control Systems. CoRR abs/2308.16769 (2023) - 2022
- [j4]Qin Lin, Stefan Mitsch, André Platzer, John M. Dolan:
Safe and Resilient Practical Waypoint-Following for Autonomous Vehicles. IEEE Control. Syst. Lett. 6: 1574-1579 (2022) - [c12]Emanuel Munoz, Dvij Kalaria, Qin Lin, John M. Dolan:
Online Adaptive Compensation for Model Uncertainty Using Extreme Learning Machine-based Control Barrier Functions. IROS 2022: 10959-10966 - [c11]Jialun Li, Xiaojia Xie, Qin Lin, Jianping He, John M. Dolan:
Motion Planning by Search in Derivative Space and Convex Optimization with Enlarged Solution Space. IROS 2022: 13500-13507 - [c10]Dvij Kalaria, Qin Lin, John M. Dolan:
Delay-aware Robust Control for Safe Autonomous Driving. IV 2022: 1565-1571 - [i9]Dvij Kalaria, Qin Lin, John M. Dolan:
Delay-aware Robust Control for Safe Autonomous Driving and Racing. CoRR abs/2208.13856 (2022) - [i8]Srujan Deolasee, Qin Lin, Jialun Li, John M. Dolan:
Spatio-temporal Motion Planning for Autonomous Vehicles with Trapezoidal Prism Corridors and Bézier Curves. CoRR abs/2209.15150 (2022) - 2021
- [j3]Shivesh Khaitan, Qin Lin, John M. Dolan:
Safe Planning and Control Under Uncertainty for Self-Driving. IEEE Trans. Veh. Technol. 70(10): 9826-9837 (2021) - [c9]Omid Jahanmahin, Qin Lin, Yanjun Pan, John M. Dolan:
Jerk-Minimized CILQR for Human-Like Driving on Two-Lane Roadway. IV 2021: 1282-1289 - [i7]Dvij Kalaria, Qin Lin, John M. Dolan:
Delay-aware Robust Control for Safe Autonomous Driving. CoRR abs/2109.07101 (2021) - 2020
- [c8]Qin Lin, Wenshuo Wang, Yihuan Zhang, John M. Dolan:
Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile. ACC 2020: 3965-3970 - [c7]Yanjun Pan, Qin Lin, Het Shah, John M. Dolan:
Safe Planning for Self-Driving Via Adaptive Constrained ILQR. IROS 2020: 2377-2383 - [c6]Qin Lin, Xin Chen, Aman Khurana, John M. Dolan:
ReachFlow: An Online Safety Assurance Framework for Waypoint-Following of Self-driving Cars. IROS 2020: 6627-6632 - [c5]Qin Lin, Sicco Verwer, John M. Dolan:
Safety Verification of a Data-driven Adaptive Cruise Controller. IV 2020: 2146-2151 - [i6]Yanjun Pan, Qin Lin, Het Shah, John M. Dolan:
Safe Planning for Self-Driving Via Adaptive Constrained ILQR. CoRR abs/2003.02757 (2020) - [i5]Shivesh Khaitan, Qin Lin, John M. Dolan:
Safe planning and control under uncertainty for self-driving. CoRR abs/2010.11063 (2020)
2010 – 2019
- 2019
- [j2]Qin Lin, Yihuan Zhang, Sicco Verwer, Jun Wang:
MOHA: A Multi-Mode Hybrid Automaton Model for Learning Car-Following Behaviors. IEEE Trans. Intell. Transp. Syst. 20(2): 790-796 (2019) - [c4]Qin Lin, Sicco Verwer, Robert E. Kooij, Aditya Mathur:
Using Datasets from Industrial Control Systems for Cyber Security Research and Education. CRITIS 2019: 122-133 - [i4]Qin Lin, Wenshuo Wang, Yihuan Zhang, John M. Dolan:
Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile. CoRR abs/1910.12969 (2019) - [i3]Qin Lin, Sicco Verwer, John M. Dolan:
Learning a Safety Verifiable Adaptive Cruise Controller from Human Driving Data. CoRR abs/1910.13526 (2019) - 2018
- [j1]Yihuan Zhang, Qin Lin, Jun Wang, Sicco Verwer, John M. Dolan:
Lane-Change Intention Estimation for Car-Following Control in Autonomous Driving. IEEE Trans. Intell. Veh. 3(3): 276-286 (2018) - [c3]Qin Lin, Sridhar Adepu, Sicco Verwer, Aditya Mathur:
TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems. AsiaCCS 2018: 525-536 - 2017
- [c2]Gaetano Pellegrino, Qin Lin, Christian A. Hammerschmidt, Sicco Verwer:
Learning behavioral fingerprints from Netflows using Timed Automata. IM 2017: 308-316 - [i2]Xiaoran Liu, Qin Lin, Sicco Verwer, Dmitri Jarnikov:
Anomaly Detection in a Digital Video Broadcasting System Using Timed Automata. CoRR abs/1705.09650 (2017) - 2016
- [c1]Gaetano Pellegrino, Christian A. Hammerschmidt, Qin Lin, Sicco Verwer:
Learning Deterministic Finite Automata from Infinite Alphabets. ICGI 2016: 120-131 - [i1]Christian Albert Hammerschmidt, Sicco Verwer, Qin Lin, Radu State:
Interpreting Finite Automata for Sequential Data. CoRR abs/1611.07100 (2016)
Coauthor Index
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