activity
20142024
most citedLTLf satisfiability checking

5 citations · 12 across the 8 of their papers we have counts for

collaborators

9 papers

cs.AI2024

On-the-fly Synthesis for LTL over Finite Traces: An Efficient Approach that Counts

Shengping Xiao, Yongkang Li, Shufang Zhu +4

We present an on-the-fly synthesis framework for Linear Temporal Logic over finite traces (LTLf) based on top-down deterministic automata construction. Existing approaches rely on…

cs.CV2024

CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection

Jiayi Zhu, Qing Guo, Felix Juefei-Xu +3

Co-salient object detection (CoSOD) aims to identify the common and salient (usually in the foreground) regions across a given group of images. Although achieving significant progr…

cs.CV20242 cited

Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective

Yihao Huang, Kaiyuan Yu, Qing Guo +5

In recent years, LiDAR-camera fusion models have markedly advanced 3D object detection tasks in autonomous driving. However, their robustness against common weather corruption such…

cs.SE20244 cited

Experimenting a New Programming Practice with LLMs

Simiao Zhang, Jiaping Wang, Guoliang Dong +3

The recent development on large language models makes automatically constructing small programs possible. It thus has the potential to free software engineers from low-level coding…

cs.LG20231 cited

Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework

Simiao Zhang, Jitao Bai, Menghong Guan +4

Machine learning is widely used to make decisions with societal impact such as bank loan approving, criminal sentencing, and resume filtering. How to ensure its fairness while main…

cs.SE2023

FREPA: An Automated and Formal Approach to Requirement Modeling and Analysis in Aircraft Control Domain

Jincao Feng, Weikai Miao, Hanyue Zheng +8

Formal methods are promising for modeling and analyzing system requirements. However, applying formal methods to large-scale industrial projects is a remaining challenge. The indus…