Lu Feng

Orcid: 0000-0002-4651-8441

Affiliations:
  • University of Virginia, School of Engineering and Applied Science, Charlottesville, VA, USA
  • University of Oxford, UK (PhD 2014)


According to our database1, Lu Feng authored at least 65 papers between 2010 and 2024.

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Bibliography

2024
Safe POMDP Online Planning Among Dynamic Agents via Adaptive Conformal Prediction.
IEEE Robotics Autom. Lett., November, 2024

DP-RuL: Differentially-Private Rule Learning for Clinical Decision Support Systems.
CoRR, 2024

Distributional Probabilistic Model Checking.
Proceedings of the NASA Formal Methods - 16th International Symposium, 2024

ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Trust-Aware Motion Planning for Human-Robot Collaboration under Distribution Temporal Logic Specifications.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Safe POMDP Online Planning via Shielding.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Artifact for: Distributional Probabilistic Model Checking.
Dataset, September, 2023

Artifact for: Distributional Probabilistic Model Checking.
Dataset, September, 2023

Introduction to the Special Issue on Runtime Verification.
Int. J. Softw. Tools Technol. Transf., August, 2023

CARNA: Characterizing Advanced heart failure Risk and hemodyNAmic phenotypes using learned multi-valued decision diagrams.
CoRR, 2023

Formal Methods in Unmanned Aerial Vehicle Swarm Control for Wildfire Detection and Monitoring.
Proceedings of the IEEE International Systems Conference, 2023

GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explainable Multi-Agent Reinforcement Learning for Temporal Queries.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Framework for the Unsupervised Inference of Relations Between Sensed Object Spatial Distributions and Robot Behaviors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems.
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022
Planning for Automated Vehicles with Human Trust.
ACM Trans. Cyber Phys. Syst., 2022

Logic-based Reward Shaping for Multi-Agent Reinforcement Learning.
CoRR, 2022

A Study on Learning and Simulating Personalized Car-Following Driving Style.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Toward Policy Explanations for Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Objective Controller Synthesis with Uncertain Human Preferences.
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving.
Proceedings of the AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Seoul, Republic of Korea, September 17, 2022

2021
Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems.
ACM Trans. Embed. Comput. Syst., 2021

A Novel Spatial-Temporal Specification-Based Monitoring System for Smart Cities.
IEEE Internet Things J., 2021

A Graduate Curriculum in Cyber-Physical Systems.
IEEE Des. Test, 2021

Toward Formal Methods for Smart Cities.
Computer, 2021

MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Trust-based route planning for automated vehicles.
Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

A smart city simulation platform with uncertainty.
Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Safe Multi-Agent Reinforcement Learning via Shielding.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Probabilistic Conditional System Invariant Generation with Bayesian Inference.
CoRR, 2020

Towards Personalized Explanation of Robotic Planning via User Feedback.
CoRR, 2020

CityPM: Predictive Monitoring with Logic-Calibrated Uncertainty for Smart Cities.
CoRR, 2020

Predictive monitoring with uncertainty for deep learning enabled smart cities: poster abstract.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Transparent Robotic Planning via Contrastive Explanations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

SaSTL: Spatial Aggregation Signal Temporal Logic for Runtime Monitoring in Smart Cities.
Proceedings of the 11th ACM/IEEE International Conference on Cyber-Physical Systems, 2020

Toward Minimum Startle After Take-Over Request: A Preliminary Study of Physiological Data.
Proceedings of the Adjunct Proceedings of the 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2020

2019
Determining Timing Parameters for the Code Generation from Platform-Independent Timed Models.
ACM Trans. Cyber Phys. Syst., 2019

EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles.
CoRR, 2019

Runtime Monitoring of Real time Safety Requirements in Smart Cities.
CoRR, 2019

Performance Modeling and Verification of Load Balancing in Cloud Systems Using Formal Methods.
Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems Workshops, 2019

A Case Study of Trust on Autonomous Driving.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors.
Proceedings of the Computational Methods in Systems Biology, 2019

2018
The Effect of Whole-Body Haptic Feedback on Driver's Perception in Negotiating a Curve.
CoRR, 2018

Attack-Resilient Sensor Fusion for Cooperative Adaptive Cruise Control.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

DAMON: A Data Authenticity Monitoring System for Diabetes Management.
Proceedings of the 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation, 2018

Counterexamples for Robotic Planning Explained in Structured Language.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Cityresolver: a decision support system for conflict resolution in smart cities.
Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018

2017
Runtime Monitoring of Safety and Performance Requirements in Smart Cities.
Proceedings of the 1st ACM Workshop on the Internet of Safe Things, 2017

2016
Synthesis of Human-in-the-Loop Control Protocols for Autonomous Systems.
IEEE Trans Autom. Sci. Eng., 2016

Human-interpretable diagnostic information for robotic planning systems.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
Towards Assurance for Plug & Play Medical Systems.
Proceedings of the Computer Safety, Reliability, and Security, 2015

Platform-Specific Code Generation from Platform-Independent Timed Models.
Proceedings of the 2015 IEEE Real-Time Systems Symposium, 2015

A Data-Driven Behavior Modeling and Analysis Framework for Diabetic Patients on Insulin Pumps.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Controller synthesis for autonomous systems interacting with human operators.
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015

Platform-specific timing verification framework in model-based implementation.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014
On learning assumptions for compositional verification of probabilistic systems.
PhD thesis, 2014

A Safety Argument Strategy for PCA Closed-Loop Systems: A Preliminary Proposal.
Proceedings of the 5th Workshop on Medical Cyber-Physical Systems, 2014

Exploring the twin peaks using probabilistic verification techniques.
Proceedings of the 4th International Workshop on Twin Peaks of Requirements and Architecture, 2014

2013
A Modal Specification Approach for On-Demand Medical Systems.
Proceedings of the Foundations of Health Information Engineering and Systems, 2013

Assuring the safety of on-demand medical cyber-physical systems.
Proceedings of the 1st IEEE International Conference on Cyber-Physical Systems, 2013

2011
Automated Learning of Probabilistic Assumptions for Compositional Reasoning.
Proceedings of the Fundamental Approaches to Software Engineering, 2011

Learning-Based Compositional Verification for Synchronous Probabilistic Systems.
Proceedings of the Automated Technology for Verification and Analysis, 2011

2010
Compositional Verification of Probabilistic Systems Using Learning.
Proceedings of the QEST 2010, 2010


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