Wenchao Li

Wenchao Li

Boston University

H-index: 30

North America-United States

About Wenchao Li

Wenchao Li, With an exceptional h-index of 30 and a recent h-index of 22 (since 2020), a distinguished researcher at Boston University, specializes in the field of Trustworthy AI, Cyber-Physical Systems, Formal Methods, Machine Learning.

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

Reglo: Provable neural network repair for global robustness properties

Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning

DeLF: Designing Learning Environments with Foundation Models

Secure Control of Connected and Automated Vehicles Using Trust-Aware Robust Event-Triggered Control Barrier Functions

Dormant Neural Trojans

Polar-express: Efficient and precise formal reachability analysis of neural-network controlled systems

Universal Trojan Signatures in Reinforcement Learning

Verification and Design of Robust and Safe Neural Network-enabled Autonomous Systems

Wenchao Li Information

University

Position

Assistant Professor

Citations(all)

2722

Citations(since 2020)

1606

Cited By

1741

hIndex(all)

30

hIndex(since 2020)

22

i10Index(all)

44

i10Index(since 2020)

37

Email

University Profile Page

Google Scholar

Wenchao Li Skills & Research Interests

Trustworthy AI

Cyber-Physical Systems

Formal Methods

Machine Learning

Top articles of Wenchao Li

Reglo: Provable neural network repair for global robustness properties

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning

arXiv preprint arXiv:2402.17217

2024/2/27

DeLF: Designing Learning Environments with Foundation Models

arXiv preprint arXiv:2401.08936

2024/1/17

Wenchao Li
Wenchao Li

H-Index: 19

Secure Control of Connected and Automated Vehicles Using Trust-Aware Robust Event-Triggered Control Barrier Functions

arXiv preprint arXiv:2401.02306

2024/1/4

Dormant Neural Trojans

2023/12/15

Panagiota Kiourti
Panagiota Kiourti

H-Index: 2

Wenchao Li
Wenchao Li

H-Index: 19

Polar-express: Efficient and precise formal reachability analysis of neural-network controlled systems

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2023/11/8

Universal Trojan Signatures in Reinforcement Learning

2023/10/28

Verification and Design of Robust and Safe Neural Network-enabled Autonomous Systems

2023/9/26

Merging control in mixed traffic with safety guarantees: a safe sequencing policy with optimal motion control

2023/9/24

Ehsan Sabouni
Ehsan Sabouni

H-Index: 0

Wenchao Li
Wenchao Li

H-Index: 19

Trust-aware resilient control and coordination of connected and automated vehicles

2023/9/24

Optimal control of connected automated vehicles with event-triggered control barrier functions: a test bed for safe optimal merging

Automatica

2024/4/1

ovla: Neural Network Ownership Verification using Latent Watermarks

arXiv preprint arXiv:2306.13215

2023/6/15

Wenchao Li
Wenchao Li

H-Index: 19

PAGAR: Imitation Learning with Protagonist Antagonist Guided Adversarial Reward

arXiv preprint arXiv:2306.01731

2023/6/2

Weichao Zhou
Weichao Zhou

H-Index: 2

Wenchao Li
Wenchao Li

H-Index: 19

Safety-Assured Design and Adaptation of Connected and Autonomous Vehicles

2023/3/27

Hola robots: Mitigating plan-deviation attacks in multi-robot systems with co-observations and horizon-limiting announcements

arXiv preprint arXiv:2301.10704

2023/1/25

Byzantine resilience at swarm scale: A decentralized blocklist protocol from inter-robot accusations

arXiv preprint arXiv:2301.06977

2023/1/17

Evaluations of cyber attacks on cooperative control of connected and autonomous vehicles at bottleneck points

Symposium on Vehicles Security and Privacy (VehicleSec) 2023

2023/1

Sound and Complete Neural Network Repair with Minimality and Locality Guarantees

2022

Wenchao Li
Wenchao Li

H-Index: 19

Polar: A polynomial arithmetic framework for verifying neural-network controlled systems

2022

A tool for neural network global robustness certification and training

arXiv preprint arXiv:2208.07289

2022/8/15

See List of Professors in Wenchao Li University(Boston University)

Co-Authors

academic-engine