Yuexin Li

I am a full-time research assistant at NUS-NCS Joint Laboratory for Cyber Security. I obtained my M.Comp. in Artificial Intelligence at National University of Singapore (NUS), where I worked closely with Asst. Prof. Bryan Hooi on my master dissertation project.

Before NUS, I received my B.Eng. in Computer Science and Technology at South China University of Technology (SCUT) in 2021, where I did research on evolutionary algorithms and urban computing under Prof. Zhi-Hui Zhan. I was fortunate to be a visiting student to University College London (UCL) in 2019 and University of California, Berkeley (UC Berkeley) in 2020.

Email: yuexinli [AT] comp [DOT] nus [DOT] edu [DOT] sg

CV / LinkedIn / Google Scholar / Github

Research

My current research interests mainly include explainable phishing detection and learning on graphs. Specifically, I am exploring how to introduce multimodal knowledge graphs into phishing detection via multimodal machine learning models. I am also working on efficient graph learning, such as few-shot learning on text-attributed graphs.

News

[2022/08] I joined NUS-NCS Joint Laboratory for Cyber Security as a full-time Research Assistant!

Publications

	KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection Yuexin Li, Chengyu Huang, Shumin Deng, Mei Lin Lock, Tri Cao, Nay Oo, Bryan Hooi, Hoon Wei Lim ArXiv 2024 (Under Review) KnowPhish Construction KnowPhish Detector Webpage Spider cite We propose 1) KnowPhish, a large-scale multimodal brand knowledge base that can be integrated with any reference-based phishing detector (RBPD) in a plug-and-play manner, and 2) KnowPhish Detector (KPD), a multimodal RBPD to detect phishing webpages with or without logos.
	Prompt-Based Zero-and Few-Shot Node Classification: A Multimodal Approach Yuexin Li, Bryan Hooi ArXiv 2023 (Preliminary Work) code cite TBD
	Spatial-Temporal Graph Neural Network Framework with Multi-source Local and Global Information Fusion for Traffic Flow Forecasting Yuexin Li, Jianyu Li, Zijia Wang, Zhihui Zhan CCF Conference on Computer Supported Cooperative Work and Social Computing (CCSCW) 2021 code cite A generic spatial-temporal deep learning framework that mines spatial-temporal features locally and globally.
	Cloudde-based Distributed Differential Evolution for Solving Dynamic Optimization Problems Yuexin Li, Zhihui Zhan, Hu Jin, Jun Zhang International Conference on Intelligent Control and Information Processing (ICICIP) 2019 code cite A message passing interface (MPI) based distributed multi-population differential evolution (DE) algorithm with adaptive migration strategy (AMS).

Honors

[2020/06] Hongping Changqing Student Innovation Scholarship (RMB 2,000)
[2019/12] SCUT First-class Scholarship (RMB 4,000, Top 10%)
[2019/11] National 2nd Prize of Contemporary Undergraduate Mathematical Contest in Modeling (Top 3%).
[2018/12] SCUT First-class Scholarship (RMB 4,000, Top 10%)

Service

[202x/xx] Working on it. I am still new here.

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