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20192023
most citedBenchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities

31 citations · 114 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.SE2023★ 31 cited

Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities

Xinyu Gao, Zhijie Wang, Yang Feng +3

Multi-Sensor Fusion (MSF) based perception systems have been the foundation in supporting many industrial applications and domains, such as self-driving cars, robotic arms, and unm…

cs.SE2023★ 11 cited

Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?

Bonan Kou, Shengmai Chen, Zhijie Wang +2

Large Language Models (LLMs) have recently been widely used for code generation. Due to the complexity and opacity of LLMs, little is known about how these models generate code. We…

cs.SE2023★ 4 cited

AutoRepair: Automated Repair for AI-Enabled Cyber-Physical Systems under Safety-Critical Conditions

Deyun Lyu, Jiayang Song, Zhenya Zhang +4

Cyber-Physical Systems (CPS) have been widely deployed in safety-critical domains such as transportation, power and energy. Recently, there comes an increasing demand in employing…

cs.SE2022★ 8 cited

An Empirical Study of AI Techniques in Mobile Applications

Yinghua Li, Xueqi Dang, Haoye Tian +5

The integration of artificial intelligence (AI) into mobile applications has significantly transformed various domains, enhancing user experiences and providing personalized servic…

cs.SE2021★ 24 cited

When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward

Jiayang Song, Deyun Lyu, Zhenya Zhang +3

Cyber-physical systems (CPS) have been broadly deployed in safety-critical domains, such as automotive systems, avionics, medical devices, etc. In recent years, Artificial Intellig…