Yun Lin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 47

Top Topics

Static Analysis

Top Venues

ESEC/SIGSOFT FSE

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)
Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Yun Lin, Jin Song Dong
A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction. WWW (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)
Qi Guo, Minghao Yao, Zhen Tian, Saiyu Qi, Yong Qi, Yun Lin, Jin Song Dong
Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations. CoRR (2024)
Yufan Cai, Zhe Hou, Xiaokun Luan, David Sanán, Yun Lin, Jun Sun, Jin Song Dong
Towards Large Language Model Aided Program Refinement. CoRR (2024)
Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective. KDD (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)
Mengyue Liu, Yun Lin, Jun Liu, Bohao Liu, Qinghua Zheng, Jin Song Dong
-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning. KDD (2023)
Jin Song Dong, Kan Jiang, Zhaoyu Liu, Chen Dong, Zhe Hou, Rajdeep Singh Hundal, Jingyu Guo, Yun Lin
Sports Analytics Using Probabilistic Model Checking and Deep Learning. ICECCS (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)
Xuezhi Song, Yijian Wu, Junming Cao, Bihuan Chen, Yun Lin, Zhengjie Lu, Dingji Wang, Xin Peng
BugMiner: Automating Precise Bug Dataset Construction by Code Evolution History Mining. ASE (2023)
Xianglin Yang, Yun Lin, Yifan Zhang, Linpeng Huang, Jin Song Dong, Hong Mei
DeepDebugger: An Interactive Time-Travelling Debugging Approach for Deep Classifiers. ESEC/SIGSOFT FSE (2023)
Yao Zhang, Xiaofei Xie, Yi Li, Yun Lin, Sen Chen, Yang Liu, Xiaohong Li
Demystifying Performance Regressions in String Solvers. IEEE Trans. Software Eng. 49 (3) (2023)
Zhaoyu Liu, Kan Jiang, Zhe Hou, Yun Lin, Jin Song Dong
Insight Analysis for Tennis Strategy and Tactics. ICDM (2023)
Xuezhi Song, Yun Lin, Yijian Wu, Yifan Zhang, Siang Hwee Ng, Xin Peng, Jin Song Dong, Hong Mei
RegMiner: mining replicable regression dataset from code repositories. ESEC/SIGSOFT FSE (2022)
Yunkai Liang, Yun Lin, Xuezhi Song, Jun Sun, Zhiyong Feng, Jin Song Dong
gDefects4DL: A Dataset of General Real-World Deep Learning Program Defects. ICSE-Companion (2022)
Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong
Repairing Failure-inducing Inputs with Input Reflection. ASE (2022)
Yuting Yang, Pei Huang, Juan Cao, Jintao Li, Yun Lin, Jin Song Dong, Feifei Ma, Jian Zhang
A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement. CoRR (2022)
Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong
Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training. IJCAI (2022)
Jiaming Ye, Mingliang Ma, Yun Lin, Lei Ma, Yinxing Xue, Jianjun Zhao
Vulpedia: Detecting vulnerable ethereum smart contracts via abstracted vulnerability signatures. J. Syst. Softw. 192 (2022)
Ruofan Liu, Yun Lin, Xianglin Yang, Jin Song Dong
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective. NeurIPS (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)
Xuezhi Song, Yun Lin, Siang Hwee Ng, Yijian Wu, Xin Peng, Jin Song Dong, Hong Mei
RegMiner: towards constructing a large regression dataset from code evolution history. ISSTA (2022)
Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Zhe Hou, Yan Xiao, Yun Lin, Jin Song Dong
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective. CoRR (2022)
Qian Li, Qingyuan Hu, Saiyu Qi, Yong Qi, Di Wu, Yun Lin, Jin Song Dong
Stochastic Ghost Batch for Self-distillation with Dynamic Soft Label. Knowl. Based Syst. 241 (2022)
Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong
Generalizing Neural Networks by Reflecting Deviating Data in Production. CoRR (2021)
Yun Lin, You Sheng Ong, Jun Sun, Gordon Fraser, Jin Song Dong
Graph-based seed object synthesis for search-based unit testing. ESEC/SIGSOFT FSE (2021)
Qian Li, Yong Qi, Qingyuan Hu, Saiyu Qi, Yun Lin, Jin Song Dong
Adversarial Adaptive Neighborhood With Feature Importance-Aware Convex Interpolation. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Yan Xiao, Ivan Beschastnikh, David S. Rosenblum, Changsheng Sun, Sebastian G. Elbaum, Yun Lin, Jin Song Dong
Self-Checking Deep Neural Networks in Deployment. ICSE (2021)
Yan Xiao, Ivan Beschastnikh, David S. Rosenblum, Changsheng Sun, Sebastian G. Elbaum, Yun Lin, Jin Song Dong
Self-Checking Deep Neural Networks in Deployment. CoRR (2021)
Haijun Wang, Yun Lin, Zijiang Yang, Jun Sun, Yang Liu, Jin Song Dong, Qinghua Zheng, Ting Liu
Explaining Regressions via Alignment Slicing and Mending. IEEE Trans. Software Eng. 47 (11) (2021)
Xuezhi Song, Yun Lin, Siang Hwee Ng, Ping Yu, Xin Peng, Jin Song Dong
Constructing Regression Dataset from Code Evolution History. CoRR (2021)
Tai D. Nguyen, Long H. Pham, Jun Sun, Yun Lin, Quang Tran Minh
sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts. CoRR (2020)
Yun Lin, Jun Sun, Gordon Fraser, Ziheng Xiu, Ting Liu, Jin Song Dong
Recovering fitness gradients for interprocedural Boolean flags in search-based testing. ISSTA (2020)
Jiaming Ye, Mingliang Ma, Yun Lin, Yulei Sui, Yinxing Xue
Clairvoyance: cross-contract static analysis for detecting practical reentrancy vulnerabilities in smart contracts. ICSE (Companion Volume) (2020)
Yinxing Xue, Mingliang Ma, Yun Lin, Yulei Sui, Jiaming Ye, Tianyong Peng
Cross-Contract Static Analysis for Detecting Practical Reentrancy Vulnerabilities in Smart Contracts. ASE (2020)
Tai D. Nguyen, Long H. Pham, Jun Sun, Yun Lin, Quang Tran Minh
sFuzz: an efficient adaptive fuzzer for solidity smart contracts. ICSE (2020)
Haijun Wang, Xiaofei Xie, Shang-Wei Lin, Yun Lin, Yuekang Li, Shengchao Qin, Yang Liu, Ting Liu
Locating vulnerabilities in binaries via memory layout recovering. ESEC/SIGSOFT FSE (2019)
Yinxing Xue, Jiaming Ye, Mingliang Ma, Lei Ma, Yi Li, Haijun Wang, Yun Lin, Tianyong Peng, Yang Liu
Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules. CoRR (2019)
Pardeep Kumar, Yun Lin, Guangdong Bai, Andrew Paverd, Jin Song Dong, Andrew P. Martin
Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues. IEEE Commun. Surv. Tutorials 21 (3) (2019)
Yun Lin, Jun Sun, Lyly Tran, Guangdong Bai, Haijun Wang, Jin Song Dong
Break the dead end of dynamic slicing: localizing data and control omission bug. ASE (2018)
Xinyu Wang, Jun Sun, Zhenbang Chen, Peixin Zhang, Jingyi Wang, Yun Lin
Towards optimal concolic testing. ICSE (2018)
Yun Lin, Jun Sun, Yinxing Xue, Yang Liu, Jin Song Dong
Feedback-based debugging. ICSE (2017)
Yun Lin, Guozhu Meng, Yinxing Xue, Zhenchang Xing, Jun Sun, Xin Peng, Yang Liu, Wenyun Zhao, Jin Song Dong
Mining implicit design templates for actionable code reuse. ASE (2017)
Yun Lin, Xin Peng, Yuanfang Cai, Danny Dig, Diwen Zheng, Wenyun Zhao
Interactive and guided architectural refactoring with search-based recommendation. SIGSOFT FSE (2016)
Yun Lin, Xin Peng, Zhenchang Xing, Diwen Zheng, Wenyun Zhao
Clone-based and interactive recommendation for modifying pasted code. ESEC/SIGSOFT FSE (2015)
Yun Lin, Zhenchang Xing, Xin Peng, Yang Liu, Jun Sun, Wenyun Zhao, Jin Song Dong
Clonepedia: Summarizing Code Clones by Common Syntactic Context for Software Maintenance. ICSME (2014)
Yun Lin, Zhenchang Xing, Yinxing Xue, Yang Liu, Xin Peng, Jun Sun, Wenyun Zhao
Detecting differences across multiple instances of code clones. ICSE (2014)