Ruofan Liu

20 papers A* 10Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive DOA Estimation Method Based on Frequency Agile Radar With Joint Transmit-Receive Processing.
IEEE Trans. Signal Process.
Ruofan Liu, Bo Jiu, Danlei Xu, Youlin Fan, Hongwei Liu
2025 A* conf
Are CAPTCHAs Still Bot-hard? Generalized Visual CAPTCHA Solving with Agentic Vision Language Model.
USENIX Security Symposium
Xiwen Teoh, Yun Lin, Siqi Li, Ruofan Liu, Avi Sollomoni, Yaniv Harel, Jin Song Dong
2025 J jnl
DRIP: Defending Prompt Injection via De-instruction Training and Residual Fusion Model Architecture.
CoRR
Ruofan Liu, Yun Lin, Jin Song Dong
2025 J jnl
GUIPilot: A Consistency-Based Mobile GUI Testing Approach for Detecting Application-Specific Bugs.
Proc. ACM Softw. Eng.
Ruofan Liu, Xiwen Teoh, Yun Lin, Guanjie Chen, Ruofei Ren, Denys Poshyvanyk, Jin Song Dong
2025 J jnl
GUIPilot: A Consistency-based Mobile GUI Testing Approach for Detecting Application-specific Bugs.
CoRR
Ruofan Liu, Xiwen Teoh, Yun Lin, Guanjie Chen, Ruofei Ren, Denys Poshyvanyk, Jin Song Dong
2025 — conf
Impact of Prompt Strategies on Large Language Models' Translation Quality: An Empirical Analysis of ChatGPT's Performance Across Text Types.
ICAIE
Ruofan Liu, Jiaxin Lin, Zirun Gan, Yushi Jia
2025 J jnl
PiMRef: Detecting and Explaining Ever-evolving Spear Phishing Emails with Knowledge Base Invariants.
CoRR
Ruofan Liu, Yun Lin, Silas Yeo Shuen Yu, Xiwen Teoh, Zhenkai Liang, Jin Song Dong
2025 J jnl
Tightly Coupled RTK-Visual-Inertial Integration With a Novel Sliding Ambiguity Window Optimization Framework.
IEEE Trans. Intell. Transp. Syst.
Chufeng Duan, Ruofan Liu, Nan Li, Shengquan Li, Quan Tang, Zhiqiang Dai, Xiangwei Zhu
2024 A* conf
Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List.
USENIX Security Symposium
Ruofan Liu, Yun Lin, Xiwen Teoh, Gongshen Liu, Zhiyong Huang, Jin Song Dong
2024 A* conf
PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models.
USENIX Security Symposium
Xiwen Teoh, Yun Lin, Ruofan Liu, Zhiyong Huang, Jin Song Dong
2023 A* conf
DeepArc: Modularizing Neural Networks for the Model Maintenance.
ICSE
Xiaoning Ren, Yun Lin, Yinxing Xue, Ruofan Liu, Jun Sun, Zhiyong Feng, Jin Song Dong
2023 J jnl
FGO-ILNS: Tightly Coupled Multi-Sensor Integrated Navigation System Based on Factor Graph Optimization for Autonomous Underwater Vehicle.
CoRR
Jiangbo Song, Wanqing Li, Ruofan Liu, Xiangwei Zhu
2023 A* conf
Knowledge Expansion and Counterfactual Interaction for Reference-Based Phishing Detection.
USENIX Security Symposium
Ruofan Liu, Yun Lin, Yifan Zhang, Penn Han Lee, Jin Song Dong
2023 — conf
On Transfer Learning for Naive Brain Computer Interface Users.
NER
Ruofan Liu, Satyam Kumar, Hussein Alawieh, Evan Carnahan, José del R. Millán
2022 A* conf
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective.
NeurIPS
Ruofan Liu, Yun Lin, Xianglin Yang, Jin Song Dong
2022 A* conf
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training.
AAAI
Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei
2022 J jnl
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training.
CoRR
Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei
2022 A* conf
Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach.
USENIX Security Symposium
Ruofan Liu, Yun Lin, Xianglin Yang, Siang Hwee Ng, Dinil Mon Divakaran, Jin Song Dong
2022 A* conf
Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training.
IJCAI
Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong
2021 A* conf
Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages.
USENIX Security Symposium
Yun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng, Qing Zhou Chan, Yiwen Lu, Yuxuan Si, Fan Zhang, Jin Song Dong