Yifan Liao (廖一凡)

I'm the research assistant at NUS Research Institute in Chongqing, where I am supervised by Prof. Zhiyong Huang.

I obtained my M.Comp. in Artificial Intelligence at National University of Singapore (NUS), where I worked closely with Asso. Prof. Yun Lin and Prof. Jinsong Dong on my master dissertation project. Before Joining NUS, I received my B.Eng. in Mechanical Engineering at Chongqing University (CQU) in 2021

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Leading Research

I'm interested in AI4testing and Autonomous Driving testing. Most of my research is about detecting the anomalies targeting agents. Some projects are highlighted.

This project aims to detect and explain attack-induced anomalies in web applications by learning normal behavioral during runtime. We model the normal constraints with first-order logic, and generate executable Python scripts. By leveraging LLMs in the learning process, this approach enhances both the detection and explanation of anomalies.

This project addresses the need for a diversity-driven and explanation-oriented solution by introducing DivX, which enhances existing ADS fuzzers. It achieves this by discovering diversified failures across different driving scenarios and deriving actionable explanations. These explanations help summarize failure patterns, generate test cases, and provide runtime remedies to avoid potential accidents.