Welcome to Liu Ruofan, 刘若凡’s homepage

My name is Liu Ruofan, I obtained my Bachelor in National University of Singapore Statistics major. I am now a second year CS PhD candidate under the supervision of Prof. Dong Jin Song and mentored by Prof. Lin Yun. My research interest is AI’s application in cybersecurity.

Publications

• Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong. Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training. IJCAI 2022, code, website.
• Ruofan Liu, Yun Lin, Xianglin Yang, Siang Hwee Ng, Dinil Mon Divakaran, Jin Song Dong. Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach (USENIX Security 2022), pdf, website, code.
• Xianglin Yang#, Yun Lin#, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, and Hong Mei. DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training. AAAI 2022. pdf, website, video, code.
• Yun Lin#, Ruofan Liu#, Dinil Mon Divakaran, Jun Yang Ng, Qing Zhou Chan, Yiwen Lu, Yuxuan Si, Fan Zhang, Jin Song Dong. Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages (USENIX Security 2021), pdf, video, website, code.

Awards

• NUS SoC Research Achievement Award in 2021/2022 Sem 1
• Top 1 student in NUS Statistics Batch 2020
• Lijen Industrial Development Medal (Best Academic Exercise/Projects in the Discipline) in Academic Year 2019
• NTUC Medal in Academic Year 2019
• Saw Swee Hock Gold Medal in Academic Year 2019
• SNAS Award 2020 (Singapore National Academy of Science)

Contacts

• Email: e0134091[at]u[dot]nus[dot]edu
• Github page: https://github.com/lindsey98/
• Google Scholar: https://scholar.google.com/citations?user=g2M2UwsAAAAJ&hl=en
• LinkedIn: www.linkedin.com/in/ruofanliu