Ruofan Liu

According to our database, Ruofan Liu authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models.

Xiwen Teoh, Yun Lin, Ruofan Liu, Zhiyong Huang, Jin Song Dong

Proceedings of the 33rd USENIX Security Symposium, 2024

Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List.

Ruofan Liu, Yun Lin, Xiwen Teoh, Gongshen Liu, Zhiyong Huang, Jin Song Dong

Proceedings of the 33rd USENIX Security Symposium, 2024

2023

FGO-ILNS: Tightly Coupled Multi-Sensor Integrated Navigation System Based on Factor Graph Optimization for Autonomous Underwater Vehicle.

Jiangbo Song, Wanqing Li, Ruofan Liu, Xiangwei Zhu

CoRR, 2023

Knowledge Expansion and Counterfactual Interaction for Reference-Based Phishing Detection.

Ruofan Liu, Yun Lin, Yifan Zhang, Penn Han Lee, Jin Song Dong

Proceedings of the 32nd USENIX Security Symposium, 2023

On Transfer Learning for Naive Brain Computer Interface Users.

Ruofan Liu, Satyam Kumar, Hussein Alawieh, Evan Carnahan, José del R. Millán

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 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

Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 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

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2023

DeepArc: Modularizing Neural Networks for the Model Maintenance.

Xiaoning Ren, Yun Lin, Yinxing Xue, Ruofan Liu, Jun Sun, Zhiyong Feng, Jin Song Dong

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

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

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach.

Ruofan Liu, Yun Lin, Xianglin Yang, Siang Hwee Ng, Dinil Mon Divakaran, Jin Song Dong

Proceedings of the 31st USENIX Security Symposium, 2022

Context-aware Risk Degree Prediction for Smartphone Zombies.

Erwin Wu, Chen-Chieh Liao, Ruofan Liu, Hideki Koike

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Posters, Vancouver BC Canada, August 7, 2022

Synchronized Hand Difference Visualization for Piano Learning.

Ruofan Liu, Erwin Wu, Chen-Chieh Liao, Hayato Nishioka, Shinichi Furuya, Hideki Koike

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Posters, Vancouver BC Canada, August 7, 2022

Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective.

Ruofan Liu, Yun Lin, Xianglin Yang, Jin Song Dong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training.

Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training.

Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages.

Yun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng, Qing Zhou Chan, Yiwen Lu, Yuxuan Si, Fan Zhang, Jin Song Dong

Proceedings of the 30th USENIX Security Symposium, 2021