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Qin 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
— 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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