Ruofan Liu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Inter Subject Variability

Classifier Training

Top Venues

USENIX Security Symposium

SIGGRAPH Posters

Publications

Ruofan Liu, Yun Lin, Xiwen Teoh, Gongshen Liu, Zhiyong Huang, Jin Song Dong
Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List. USENIX Security Symposium (2024)
Xiwen Teoh, Yun Lin, Ruofan Liu, Zhiyong Huang, Jin Song Dong
PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models. USENIX Security Symposium (2024)
Ruofan Liu, Erwin Wu, Chen-Chieh Liao, Hayato Nishioka, Shinichi Furuya, Hideki Koike
PianoHandSync: An Alignment-based Hand Pose Discrepancy Visualization System for Piano Learning. CHI Extended Abstracts (2023)
Ruofan Liu, Erwin Wu, Chen-Chieh Liao, Hayato Nishioka, Shinichi Furuya, Hideki Koike
PianoSyncAR: Enhancing Piano Learning through Visualizing Synchronized Hand Pose Discrepancies in Augmented Reality. ISMAR (2023)
Jiangbo Song, Wanqing Li, Ruofan Liu, Xiangwei Zhu
FGO-ILNS: Tightly Coupled Multi-Sensor Integrated Navigation System Based on Factor Graph Optimization for Autonomous Underwater Vehicle. CoRR (2023)
Erwin Wu, Takashi Matsumoto, Chen-Chieh Liao, Ruofan Liu, Hidetaka Katsuyama, Yuki Inaba, Noriko Hakamada, Yusuke Yamamoto, Yusuke Ishige, Hideki Koike
SkiTech: An Alpine Skiing and Snowboarding Dataset of 3D Body Pose, Sole Pressure, and Electromyography. MMSports@MM (2023)
Ruofan Liu, Yun Lin, Yifan Zhang, Penn Han Lee, Jin Song Dong
Knowledge Expansion and Counterfactual Interaction for Reference-Based Phishing Detection. USENIX Security Symposium (2023)
Ruofan Liu, Satyam Kumar, Hussein Alawieh, Evan Carnahan, José del R. Millán
On Transfer Learning for Naive Brain Computer Interface Users. NER (2023)
Xiaoning Ren, Yun Lin, Yinxing Xue, Ruofan Liu, Jun Sun, Zhiyong Feng, Jin Song Dong
DeepArc: Modularizing Neural Networks for the Model Maintenance. ICSE (2023)
Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong
Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training. IJCAI (2022)
Ruofan Liu, Yun Lin, Xianglin Yang, Jin Song Dong
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective. NeurIPS (2022)
Erwin Wu, Chen-Chieh Liao, Ruofan Liu, Hideki Koike
Context-aware Risk Degree Prediction for Smartphone Zombies. SIGGRAPH Posters (2022)
Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training. AAAI (2022)
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 Symposium (2022)
Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training. CoRR (2022)
Ruofan Liu, Erwin Wu, Chen-Chieh Liao, Hayato Nishioka, Shinichi Furuya, Hideki Koike
Synchronized Hand Difference Visualization for Piano Learning. SIGGRAPH Posters (2022)
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 Symposium (2021)