Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages. - Yun Lin 001; Ruofan Liu; Dinil Mon Divakaran; Jun Yang Ng; Qing Zhou Chan; Yiwen Lu; Yuxuan Si; Fan Zhang; Jin Song Dong 001 (USENIX Security Symposium, 2021)

DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training. - Xianglin Yang; Yun Lin 001; Ruofan Liu; Zhenfeng He; Chao Wang; Jin Song Dong 001; Hong Mei 001 (AAAI, 2022)

Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training. - Xianglin Yang; Yun Lin 001; Ruofan Liu; Jin Song Dong 001 (IJCAI, 2022)

Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective. - Ruofan Liu; Yun Lin 001; Xianglin Yang; Jin Song Dong 001 (NeurIPS, 2022)

Synchronized Hand Difference Visualization for Piano Learning. - Ruofan Liu; Erwin Wu; Chen-Chieh Liao; Hayato Nishioka; Shinichi Furuya; Hideki Koike (SIGGRAPH Posters, 2022)

Context-aware Risk Degree Prediction for Smartphone Zombies. - Erwin Wu; Chen-Chieh Liao; Ruofan Liu; Hideki Koike (SIGGRAPH Posters, 2022)

Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach. - Ruofan Liu; Yun Lin 001; Xianglin Yang; Siang Hwee Ng; Dinil Mon Divakaran; Jin Song Dong 001 (USENIX Security Symposium, 2022)

PianoHandSync: An Alignment-based Hand Pose Discrepancy Visualization System for Piano Learning. - Ruofan Liu; Erwin Wu; Chen-Chieh Liao; Hayato Nishioka; Shinichi Furuya; Hideki Koike (CHI Extended Abstracts, 2023)

DeepArc: Modularizing Neural Networks for the Model Maintenance. - Xiaoning Ren; Yun Lin 001; Yinxing Xue; Ruofan Liu; Jun Sun 001; Zhiyong Feng 002; Jin Song Dong 001 (ICSE, 2023)

PianoSyncAR: Enhancing Piano Learning through Visualizing Synchronized Hand Pose Discrepancies in Augmented Reality. - Ruofan Liu; Erwin Wu; Chen-Chieh Liao; Hayato Nishioka; Shinichi Furuya; Hideki Koike (ISMAR, 2023)

SkiTech: An Alpine Skiing and Snowboarding Dataset of 3D Body Pose, Sole Pressure, and Electromyography. - Erwin Wu; Takashi Matsumoto; Chen-Chieh Liao; Ruofan Liu; Hidetaka Katsuyama; Yuki Inaba; Noriko Hakamada; Yusuke Yamamoto; Yusuke Ishige; Hideki Koike (MMSports@MM, 2023)

On Transfer Learning for Naive Brain Computer Interface Users. - Ruofan Liu; Satyam Kumar 001; Hussein Alawieh; Evan Carnahan; José del R. Millán (NER, 2023)

Knowledge Expansion and Counterfactual Interaction for Reference-Based Phishing Detection. - Ruofan Liu; Yun Lin 001; Yifan Zhang; Penn Han Lee; Jin Song Dong 001 (USENIX Security Symposium, 2023)

FGO-ILNS: Tightly Coupled Multi-Sensor Integrated Navigation System Based on Factor Graph Optimization for Autonomous Underwater Vehicle. - Jiangbo Song; Wanqing Li 005; Ruofan Liu; Xiangwei Zhu (CoRR, 2023)

PianoKeystroke-EMG: Piano Hand Muscle Electromyography Estimation from Easily Accessible Piano Keystroke. - Ruofan Liu; Yichen Peng; Takanori Oku; Erwin Wu; Shinichi Furuya; Hideki Koike (SIGGRAPH Asia Posters, 2024)

Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List. - Ruofan Liu; Yun Lin 001; Xiwen Teoh; Gongshen Liu; Zhiyong Huang; Jin Song Dong 001 (USENIX Security Symposium, 2024)

PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models. - Xiwen Teoh; Yun Lin 001; Ruofan Liu; Zhiyong Huang; Jin Song Dong 001 (USENIX Security Symposium, 2024)

PiaMuscle: Improving Piano Skill Acquisition by Cost-effectively Estimating and Visualizing Activities of Miniature Hand Muscles. - Ruofan Liu; Yichen Peng; Takanori Oku; Chen-Chieh Liao; Erwin Wu; Shinichi Furuya; Hideki Koike (CHI, 2025)

GUIPilot: A Consistency-Based Mobile GUI Testing Approach for Detecting Application-Specific Bugs. - Ruofan Liu; Xiwen Teoh; Yun Lin 001; Guanjie Chen; Ruofei Ren; Denys Poshyvanyk; Jin Song Dong 001 (Proc. ACM Softw. Eng., 2025)

PiMRef: Detecting and Explaining Ever-evolving Spear Phishing Emails with Knowledge Base Invariants. - Ruofan Liu; Yun Lin 001; Silas Yeo Shuen Yu; Xiwen Teoh; Zhenkai Liang; Jin Song Dong 001 (CoRR, 2025)