Yu Wang

Yu Wang

Duke University

H-index: 16

North America-United States

About Yu Wang

Yu Wang, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Duke University, specializes in the field of autonomy, machine learning, formal methods, robotics, cyber-physical systems.

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

Spatial-logic-aware weakly supervised learning for flood mapping on earth imagery

Foundation models for spatiotemporal tasks in the physical world

Learning optimal strategies for temporal tasks in stochastic games

On the uniqueness of solution for the Bellman equation of LTL objectives

Statistical verification of traffic systems with expected differential privacy

Attack-resilient supervisory control of discrete-event systems: A finite-state transducer approach

Spatial knowledge-infused hierarchical learning: An application in flood mapping on earth imagery

Infusing spatial knowledge into deep learning for earth science: A hydrological application

Yu Wang Information

University

Position

___

Citations(all)

853

Citations(since 2020)

711

Cited By

366

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

24

i10Index(since 2020)

20

Email

University Profile Page

Duke University

Google Scholar

View Google Scholar Profile

Yu Wang Skills & Research Interests

autonomy

machine learning

formal methods

robotics

cyber-physical systems

Top articles of Yu Wang

Title

Journal

Author(s)

Publication Date

Spatial-logic-aware weakly supervised learning for flood mapping on earth imagery

Proceedings of the AAAI Conference on Artificial Intelligence

Zelin Xu

Tingsong Xiao

Wenchong He

Yu Wang

Zhe Jiang

...

2024/3/24

Foundation models for spatiotemporal tasks in the physical world

Zhe Jiang

Yu Wang

Zelin Xu

2024

Learning optimal strategies for temporal tasks in stochastic games

IEEE Transactions on Automatic Control

Alper Kamil Bozkurt

Yu Wang

Michael M Zavlanos

Miroslav Pajic

2024/4/18

On the uniqueness of solution for the Bellman equation of LTL objectives

arXiv preprint arXiv:2404.05074

Zetong Xuan

Alper Kamil Bozkurt

Miroslav Pajic

Yu Wang

2024/4/7

Statistical verification of traffic systems with expected differential privacy

Mark Yen

Geir E Dullerud

Yu Wang

2023

Attack-resilient supervisory control of discrete-event systems: A finite-state transducer approach

IEEE Open Journal of Control Systems (OJ-CSYS)

Yu Wang

Alper Kamil Bozkurt

Nathan Smith

Miroslav Pajic

2023

Spatial knowledge-infused hierarchical learning: An application in flood mapping on earth imagery

Zelin Xu

Tingsong Xiao

Wenchong He

Yu Wang

Zhe Jiang

2023/11/13

Infusing spatial knowledge into deep learning for earth science: A hydrological application

Zelin Xu

Tingsong Xiao

Wenchong He

Yu Wang

Zhe Jiang

2023/10/28

Rigorous evaluation of computer processors with statistical model checking

Filip Mazurek

Arya Tschand

Yu Wang

Miroslav Pajic

Daniel Sorin

2023/10/28

Lightweight verification of hyperproperties

Oyendrila Dobe

Stefan Schupp

Ezio Bartocci

Borzoo Bonakdarpour

Axel Legay

...

2023/10/19

Learning monotone dynamics by neural networks

Yu Wang

Qitong Gao

Miroslav Pajic

2022/6/6

Learning-based vulnerability analysis of cyber-physical systems

Amir Khazraei

Spencer Hallyburton

Qitong Gao

Yu Wang

Miroslav Pajic

2022

Differentially private algorithms for statistical verification of cyber-physical systems

IEEE Open Journal of Control Systems

Yu Wang

Hussein Sibai

Mark Yen

Sayan Mitra

Geir E Dullerud

2022/9/15

Probabilistic conformance for cyber-physical systems

Yu Wang

Mojtaba Zarei

Borzoo Bonakdarpoor

Miroslav Pajic

2021/5/19

Verifying stochastic hybrid systems with temporal logic specifications via model reduction

ACM Transactions on Embedded Computing Systems (TECS)

Yu Wang

Nima Roohi

Matthew West

Mahesh Viswanathan

Geir E Dullerud

2021/11/15

Statistical model checking for hyperproperties

Yu Wang

Siddhartha Nalluri

Borzoo Bonakdarpour

Miroslav Pajic

2021/6/21

Reinforcement learning with temporal logic constraints for partially-observable Markov decision processes

IFAC-PapersOnLine

Bengt Lennartson

Qing-Shan Jia

2020/1/1

Model-free learning of safe yet effective controllers

Alper Kamil Bozkurt

Yu Wang

Miroslav Pajic

2021

Secure planning against stealthy attacks via model-free reinforcement learning

Alper Kamil Bozkurt

Yu Wang

Miroslav Pajic

2021

Model-free reinforcement learning for stochastic games with linear temporal logic objectives

Alper Kamil Bozkurt

Yu Wang

Michael M Zavlanos

Miroslav Pajic

2021/5/30

See List of Professors in Yu Wang University(Duke University)

Co-Authors

H-index: 69
Magnus Egerstedt

Magnus Egerstedt

Georgia Institute of Technology

H-index: 41
Mahesh Viswanathan

Mahesh Viswanathan

University of Illinois at Urbana-Champaign

H-index: 40
Michael M. Zavlanos

Michael M. Zavlanos

Duke University

H-index: 37
Miroslav Pajic

Miroslav Pajic

Duke University

H-index: 35
Sayan Mitra

Sayan Mitra

University of Illinois at Urbana-Champaign

H-index: 28
Sibin Mohan

Sibin Mohan

University of Illinois at Urbana-Champaign

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