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2020 – today
- 2024
[c15]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- [c14]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 - 2023
- [c13]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: 228:1-228:7 - [c12]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: 1008-1019 - [c11]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: 859-868 - [c10]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: 3-8 - [c9]Ruofan Liu, Satyam Kumar, Hussein Alawieh, Evan Carnahan, José del R. Millán:
On Transfer Learning for Naive Brain Computer Interface Users. NER 2023: 1-5 - [c8]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: 4139-4156 - [i2]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 abs/2310.14163 (2023) - 2022
- [c7]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: 5359-5366 - [c6]Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong:
Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training. IJCAI 2022: 4022-4028 - [c5]Ruofan Liu, Yun Lin, Xianglin Yang, Jin Song Dong:
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective. NeurIPS 2022 - [c4]Ruofan Liu, Erwin Wu, Chen-Chieh Liao, Hayato Nishioka, Shinichi Furuya, Hideki Koike:
Synchronized Hand Difference Visualization for Piano Learning. SIGGRAPH Posters 2022: 4:1-4:2 - [c3]Erwin Wu, Chen-Chieh Liao, Ruofan Liu, Hideki Koike:
Context-aware Risk Degree Prediction for Smartphone Zombies. SIGGRAPH Posters 2022: 48:1-48:2 - [c2]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: 1633-1650 - [i1]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 abs/2201.01155 (2022) - 2021
- [c1]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: 3793-3810
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