3 citations · 5 across the 7 of their papers we have counts for
8 papers
Verification and Forward Invariance of Control Barrier Functions for Differential-Algebraic Systems
Hongchao Zhang, Mohamad H. Kazma, Meiyi Ma +2
Differential-algebraic equations (DAEs) arise in power networks, chemical processes, and multibody systems, where algebraic constraints encode physical conservation laws. The safet…
Probabilistic Robustness Analysis in High Dimensional Space: Application to Semantic Segmentation Network
Navid Hashemi, Samuel Sasaki, Diego Manzanas Lopez +4
Semantic segmentation networks (SSNs) are central to safety-critical applications such as medical imaging and autonomous driving, where robustness under uncertainty is essential. H…
LogiDebrief: A Signal-Temporal Logic based Automated Debriefing Approach with Large Language Models Integration
Zirong Chen, Ziyan An, Jennifer Reynolds +3
Emergency response services are critical to public safety, with 9-1-1 call-takers playing a key role in ensuring timely and effective emergency operations. To ensure call-taking pe…
Combining LLMs with Logic-Based Framework to Explain MCTS
Ziyan An, Xia Wang, Hendrik Baier +6
In response to the lack of trust in Artificial Intelligence (AI) for sequential planning, we design a Computational Tree Logic-guided large language model (LLM)-based natural langu…
Large Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities
Yimo Yan, Yejia Liao, Guanhao Xu +13
The rapid rise of Large Language Models (LLMs) is transforming traffic and transportation research, with significant advancements emerging between the years 2023 and 2025 -- a peri…
LOGSAFE: Logic-Guided Verification for Trustworthy Federated Time-Series Learning
Dung Thuy Nguyen, Ziyan An, Taylor T. Johnson +2
This paper introduces LOGSAFE, a defense mechanism for federated learning in time series settings, particularly within cyber-physical systems. It addresses poisoning attacks by mov…
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic
Ziyan An, Hendrik Baier, Abhishek Dubey +2
Monte Carlo tree search (MCTS) is one of the most capable online search algorithms for sequential planning tasks, with significant applications in areas such as resource allocation…
Formal Logic Enabled Personalized Federated Learning Through Property Inference
Ziyan An, Taylor T. Johnson, Meiyi Ma
Recent advancements in federated learning (FL) have greatly facilitated the development of decentralized collaborative applications, particularly in the domain of Artificial Intell…