Lu Feng

Lu Feng

University of Virginia

H-index: 17

North America-United States

About Lu Feng

Lu Feng, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of Cyber-Physical Systems, Formal Methods.

His recent articles reflect a diverse array of research interests and contributions to the field:

Safe POMDP Online Planning among Dynamic Agents via Adaptive Conformal Prediction

GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces

Characterizing Advanced Heart Failure Risk and HemodyNAmic Phenotypes using Interpretable Machine Learning

A Framework for the Unsupervised Inference of Relations Between Sensed Object Spatial Distributions and Robot Behaviors

Trust-Aware Motion Planning for Human-Robot Collaboration under Distribution Temporal Logic Specifications

Explainable multi-agent reinforcement learning for temporal queries

Safe POMDP Online Planning via Shielding

Formal methods in unmanned aerial vehicle swarm control for wildfire detection and monitoring

Lu Feng Information

University

Position

Assistant Professor of Computer Science

Citations(all)

958

Citations(since 2020)

704

Cited By

425

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

30

i10Index(since 2020)

23

Email

University Profile Page

University of Virginia

Google Scholar

View Google Scholar Profile

Lu Feng Skills & Research Interests

Cyber-Physical Systems

Formal Methods

Top articles of Lu Feng

Title

Journal

Author(s)

Publication Date

Safe POMDP Online Planning among Dynamic Agents via Adaptive Conformal Prediction

arXiv preprint arXiv:2404.15557

Shili Sheng

Pian Yu

David Parker

Marta Kwiatkowska

Lu Feng

2024/4/23

GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces

Advances in Neural Information Processing Systems

Josephine Lamp

Mark Derdzinski

Christopher Hannemann

Joost Van der Linden

Lu Feng

...

2024/2/13

Characterizing Advanced Heart Failure Risk and HemodyNAmic Phenotypes using Interpretable Machine Learning

American Heart Journal

Josephine Lamp

Yuxin Wu

Steven Lamp

Prince Afriyie

Nicholas Ashur

...

2024/2/7

A Framework for the Unsupervised Inference of Relations Between Sensed Object Spatial Distributions and Robot Behaviors

Christopher Morse

Lu Feng

Matthew Dwyer

Sebastian Elbaum

2023/5/29

Trust-Aware Motion Planning for Human-Robot Collaboration under Distribution Temporal Logic Specifications

arXiv preprint arXiv:2310.01163

Pian Yu

Shuyang Dong

Shili Sheng

Lu Feng

Marta Kwiatkowska

2023/10/2

Explainable multi-agent reinforcement learning for temporal queries

arXiv preprint arXiv:2305.10378

Kayla Boggess

Sarit Kraus

Lu Feng

2023/5/17

Safe POMDP Online Planning via Shielding

arXiv preprint arXiv:2309.10216

Shili Sheng

David Parker

Lu Feng

2023/9/19

Formal methods in unmanned aerial vehicle swarm control for wildfire detection and monitoring

Negin Moghadasi

Amar Kulkarni

Dustin Crayton

Robert Grissom

James H Lambert

...

2023/4/17

Distributional Probabilistic Model Checking

arXiv preprint arXiv:2309.05584

Ingy Elsayed-Aly

David Parker

Lu Feng

2023/9/11

A Formal Method for the Analysis of the Veteran’s Ebenefits’ Website

Giovanna Camacho

Matthew Bolton

Jingan Peng

Prashanth Wagle

Lu Feng

2023

Introduction to the Special Issue on Runtime Verification

International Journal on Software Tools for Technology Transfer

Lu Feng

Dana Fisman

2023/8

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

arXiv preprint arXiv:2306.06801

Josephine Lamp

Yuxin Wu

Steven Lamp

Prince Afriyie

Kenneth Bilchick

...

2023/6/11

Logic-based reward shaping for multi-agent reinforcement learning

arXiv preprint arXiv:2206.08881

Ingy ElSayed-Aly

Lu Feng

2022/6/17

Planning for automated vehicles with human trust

ACM Transactions on Cyber-Physical Systems

Shili Sheng

Erfan Pakdamanian

Kyungtae Han

Ziran Wang

John Lenneman

...

2022/11/5

Multi-Objective Controller Synthesis with Uncertain Human Preferences

Shenghui Chen

Kayla Boggess

David Parker

Lu Feng

2022/5/4

A study on learning and simulating personalized car-following driving style

Shili Sheng

Erfan Pakdamanian

Kyungtae Han

Ziran Wang

Lu Feng

2022/10/8

Systemic arterial pulsatility index (SAPi) predicts adverse outcomes in advanced heart failure patients

Heart and vessels

Sula Mazimba

Hunter Mwansa

Khadijah Breathett

Jarred E Strickling

Kajal Shah

...

2022/10

Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving

Erfan Pakdamanian

Erzhen Hu

Shili Sheng

Sarit Kraus

Seongkook Heo

...

2022/9/17

Toward Policy Explanations for Multi-Agent Reinforcement Learning

arXiv preprint arXiv:2204.12568

Kayla Boggess

Sarit Kraus

Lu Feng

2022/4/26

Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems

arXiv preprint arXiv:2211.15413

Maryam Bagheri

Josephine Lamp

Xugui Zhou

Lu Feng

Homa Alemzadeh

2022/11/23

See List of Professors in Lu Feng University(University of Virginia)

Co-Authors

H-index: 124
John Stankovic

John Stankovic

University of Virginia

H-index: 75
Insup Lee

Insup Lee

University of Pennsylvania

H-index: 75
Marta Kwiatkowska

Marta Kwiatkowska

University of Oxford

H-index: 59
David Parker

David Parker

University of Birmingham

H-index: 54
Oleg Sokolsky

Oleg Sokolsky

University of Pennsylvania

H-index: 40
Ezio Bartocci

Ezio Bartocci

Technische Universität Wien

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