Liting Sun
Orcid: 0000-0001-8167-0900
According to our database1,
Liting Sun
authored at least 74 papers
between 2013 and 2023.
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Bibliography
2023
A novel framework for extracting moment-based fingerprint features in specific emitter identification.
EURASIP J. Adv. Signal Process., December, 2023
2022
A Radar Signal Deinterleaving Method Based on Semantic Segmentation with Neural Network.
IEEE Trans. Signal Process., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Sensors, 2022
Robustness of Deep Learning-Based Specific Emitter Identification under Adversarial Attacks.
Remote. Sens., 2022
IEEE Internet Things J., 2022
IEEE Commun. Lett., 2022
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships.
CoRR, 2022
Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the American Control Conference, 2022
Proceedings of the 4th International Conference on Advanced Information Science and System, 2022
2021
Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks.
IEEE Robotics Autom. Lett., 2021
Socially-Compatible Behavior Design of Autonomous Vehicles With Verification on Real Human Data.
IEEE Robotics Autom. Lett., 2021
IEEE Robotics Autom. Lett., 2021
IEEE Robotics Autom. Lett., 2021
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction.
CoRR, 2021
CoRR, 2021
A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning.
CoRR, 2021
Negotiation-Aware Reachability-Based Safety Verification for AutonomousDriving in Interactive Scenarios.
CoRR, 2021
Practical Fractional-Order Variable-Gain Super-Twisting Control with Application to Wafer Stages of Photolithography Systems.
CoRR, 2021
Precise Motion Control of Wafer Stages via Adaptive Neural Network and Fractional-Order Super-Twisting Algorithm.
CoRR, 2021
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning.
CoRR, 2021
Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data.
CoRR, 2021
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
Dual Extended Kalman Filter Based State and Parameter Estimator for Model-Based Control in Autonomous Vehicles.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
Proceedings of the 2021 American Control Conference, 2021
Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DOF Industrial Manipulators.
Proceedings of the 2021 American Control Conference, 2021
Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Local Loop Shaping for Rejecting Band-Limited Disturbances in Nonminimum-Phase Systems With Application to Laser Beam Steering for Additive Manufacturing.
IEEE Trans. Control. Syst. Technol., 2020
IEEE Signal Process. Lett., 2020
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning With Application to Autonomous Driving.
IEEE Robotics Autom. Lett., 2020
Towards Efficient Human-Robot Collaboration With Robust Plan Recognition and Trajectory Prediction.
IEEE Robotics Autom. Lett., 2020
CoRR, 2020
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
A Game-Theoretic Strategy-Aware Interaction Algorithm with Validation on Real Traffic Data.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Analyzing the Suitability of Cost Functions for Explaining and Imitating Human Driving Behavior based on Inverse Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Experimental Evaluation of Human Motion Prediction Toward Safe and Efficient Human Robot Collaboration.
Proceedings of the 2020 American Control Conference, 2020
2019
Intelligent and High-Performance Behavior Design of Autonomous Systems via Learning, Optimization and Control.
PhD thesis, 2019
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.
CoRR, 2019
Towards Better Human Robot Collaboration with Robust Plan Recognition and Trajectory Prediction.
CoRR, 2019
SEABIG: A Deep Learning-Based Method for Location Prediction in Pedestrian Semantic Trajectories.
IEEE Access, 2019
A Position-Based Friction Error Model and Its Application to Parameter Identification.
IEEE Access, 2019
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
2018
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning.
CoRR, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Distributed and cooperative optimization-based iterative learning control for large-scale building temperature regulation.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017
2016
Proceedings of the 2016 American Control Conference, 2016
Optimization-based constrained iterative learning control with application to building temperature control systems.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016
2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Robust principal component analysis for iterative learning control of precision motion systems with non-repetitive disturbances.
Proceedings of the American Control Conference, 2015
2014
IEEE Trans. Vis. Comput. Graph., 2014
2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Communication Systems and Networks, 2013