Detecting differences across multiple instances of code clones. - Yun Lin 001; Zhenchang Xing; Yinxing Xue; Yang Liu 003; Xin Peng 001; Jun Sun 001; Wenyun Zhao (ICSE, 2014)

Clonepedia: Summarizing Code Clones by Common Syntactic Context for Software Maintenance. - Yun Lin 001; Zhenchang Xing; Xin Peng 001; Yang Liu 003; Jun Sun 001; Wenyun Zhao; Jin Song Dong 001 (ICSME, 2014)

Clone-based and interactive recommendation for modifying pasted code. - Yun Lin 001; Xin Peng 001; Zhenchang Xing; Diwen Zheng; Wenyun Zhao (ESEC/SIGSOFT FSE, 2015)

Interactive and guided architectural refactoring with search-based recommendation. - Yun Lin 001; Xin Peng 001; Yuanfang Cai; Danny Dig; Diwen Zheng; Wenyun Zhao (SIGSOFT FSE, 2016)

Feedback-based debugging. - Yun Lin 001; Jun Sun 001; Yinxing Xue; Yang Liu 003; Jinsong Dong 001 (ICSE, 2017)

Mining implicit design templates for actionable code reuse. - Yun Lin 001; Guozhu Meng; Yinxing Xue; Zhenchang Xing; Jun Sun 001; Xin Peng 001; Yang Liu 003; Wenyun Zhao; Jin Song Dong 001 (ASE, 2017)

Towards optimal concolic testing. - Xinyu Wang 001; Jun Sun 001; Zhenbang Chen; Peixin Zhang 001; Jingyi Wang 004; Yun Lin 001 (ICSE, 2018)

Break the dead end of dynamic slicing: localizing data and control omission bug. - Yun Lin 001; Jun Sun 001; Lyly Tran; Guangdong Bai; Haijun Wang 002; Jin Song Dong 001 (ASE, 2018)

Locating vulnerabilities in binaries via memory layout recovering. - Haijun Wang 002; Xiaofei Xie; Shang-Wei Lin 001; Yun Lin 001; Yuekang Li; Shengchao Qin; Yang Liu 003; Ting Liu 002 (ESEC/SIGSOFT FSE, 2019)

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues. - Pardeep Kumar 001; Yun Lin 001; Guangdong Bai; Andrew Paverd; Jin Song Dong 001; Andrew P. Martin (IEEE Commun. Surv. Tutorials, 2019)

Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules. - Yinxing Xue; Jiaming Ye; Mingliang Ma; Lei Ma 003; Yi Li 008; Haijun Wang 002; Yun Lin 001; Tianyong Peng; Yang Liu 003 (CoRR, 2019)

CoinWatch: A Clone-Based Approach For Detecting Vulnerabilities in Cryptocurrencies. - Qingze Hum; Wei Jin Tan; Shi Ying Tey; Latasha Lenus; Ivan Homoliak; Yun Lin 001; Jun Sun 001 (Blockchain, 2020)

sFuzz: an efficient adaptive fuzzer for solidity smart contracts. - Tai D. Nguyen; Long H. Pham; Jun Sun 001; Yun Lin 001; Quang Tran Minh 001 (ICSE, 2020)

Clairvoyance: cross-contract static analysis for detecting practical reentrancy vulnerabilities in smart contracts. - Jiaming Ye; Mingliang Ma; Yun Lin 001; Yulei Sui; Yinxing Xue (ICSE (Companion Volume), 2020)

Recovering fitness gradients for interprocedural Boolean flags in search-based testing. - Yun Lin 001; Jun Sun 001; Gordon Fraser 001; Ziheng Xiu; Ting Liu 002; Jin Song Dong 001 (ISSTA, 2020)

Cross-Contract Static Analysis for Detecting Practical Reentrancy Vulnerabilities in Smart Contracts. - Yinxing Xue; Mingliang Ma; Yun Lin 001; Yulei Sui; Jiaming Ye; Tianyong Peng (ASE, 2020)

Self-Checking Deep Neural Networks in Deployment. - Yan Xiao 002; Ivan Beschastnikh; David S. Rosenblum; Changsheng Sun; Sebastian G. Elbaum; Yun Lin 001; Jin Song Dong 001 (ICSE, 2021)

A First Look at the Effect of Deep Learning in Coverage-guided Fuzzing. - Siqi Li; Yun Lin 001; Xiaofei Xie; Yuekang Li; Xiaohong Li 001; Weimin Ge; Yang Liu 003; Jin Song Dong 001 (ASE, 2021)

Graph-based seed object synthesis for search-based unit testing. - Yun Lin 001; You Sheng Ong; Jun Sun 001; Gordon Fraser 001; Jin Song Dong 001 (ESEC/SIGSOFT FSE, 2021)

Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages. - Yun Lin 001; Ruofan Liu; Dinil Mon Divakaran; Jun Yang Ng; Qing Zhou Chan; Yiwen Lu; Yuxuan Si; Fan Zhang; Jin Song Dong 001 (USENIX Security Symposium, 2021)

Constructing Regression Dataset from Code Evolution History. - Xuezhi Song; Yun Lin 001; Siang Hwee Ng; Ping Yu; Xin Peng 001; Jin Song Dong 001 (CoRR, 2021)

Generalizing Neural Networks by Reflecting Deviating Data in Production. - Yan Xiao 002; Yun Lin 001; Ivan Beschastnikh; Changsheng Sun; David S. Rosenblum; Jin Song Dong 001 (CoRR, 2021)

Adversarial Adaptive Neighborhood With Feature Importance-Aware Convex Interpolation. - Qian Li 024; Yong Qi; Qingyuan Hu; Saiyu Qi; Yun Lin 001; Jin Song Dong 001 (IEEE Trans. Inf. Forensics Secur., 2021)

Explaining Regressions via Alignment Slicing and Mending. - Haijun Wang 002; Yun Lin 001; Zijiang Yang 006; Jun Sun 001; Yang Liu 003; Jin Song Dong 001; Qinghua Zheng; Ting Liu 002 (IEEE Trans. Software Eng., 2021)

DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training. - Xianglin Yang; Yun Lin 001; Ruofan Liu; Zhenfeng He; Chao Wang; Jin Song Dong 001; Hong Mei 001 (AAAI, 2022)

gDefects4DL: A Dataset of General Real-World Deep Learning Program Defects. - Yunkai Liang; Yun Lin 001; Xuezhi Song; Jun Sun 001; Zhiyong Feng 002; Jin Song Dong 001 (ICSE-Companion, 2022)

Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training. - Xianglin Yang; Yun Lin 001; Ruofan Liu; Jin Song Dong 001 (IJCAI, 2022)

RegMiner: towards constructing a large regression dataset from code evolution history. - Xuezhi Song; Yun Lin 001; Siang Hwee Ng; Yijian Wu; Xin Peng 001; Jin Song Dong 001; Hong Mei 001 (ISSTA, 2022)

Repairing Failure-inducing Inputs with Input Reflection. - Yan Xiao 002; Yun Lin 001; Ivan Beschastnikh; Changsheng Sun; David S. Rosenblum; Jin Song Dong 001 (ASE, 2022)

Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective. - Ruofan Liu; Yun Lin 001; Xianglin Yang; Jin Song Dong 001 (NeurIPS, 2022)

RegMiner: mining replicable regression dataset from code repositories. - Xuezhi Song; Yun Lin 001; Yijian Wu; Yifan Zhang; Siang Hwee Ng; Xin Peng 001; Jin Song Dong 001; Hong Mei 001 (ESEC/SIGSOFT FSE, 2022)

Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach. - Ruofan Liu; Yun Lin 001; Xianglin Yang; Siang Hwee Ng; Dinil Mon Divakaran; Jin Song Dong 001 (USENIX Security Symposium, 2022)

A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement. - Yuting Yang 002; Pei Huang 002; Juan Cao 001; Jintao Li 001; Yun Lin 001; Jin Song Dong 001; Feifei Ma; Jian Zhang 001 (CoRR, 2022)

Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective. - Mark Huasong Meng; Guangdong Bai; Sin Gee Teo; Zhe Hou; Yan Xiao 002; Yun Lin 001; Jin Song Dong 001 (CoRR, 2022)

Vulpedia: Detecting vulnerable ethereum smart contracts via abstracted vulnerability signatures. - Jiaming Ye; Mingliang Ma; Yun Lin 001; Lei Ma 003; Yinxing Xue; Jianjun Zhao 001 (J. Syst. Softw., 2022)

Stochastic Ghost Batch for Self-distillation with Dynamic Soft Label. - Qian Li 024; Qingyuan Hu; Saiyu Qi; Yong Qi; Di Wu 062; Yun Lin 001; Jin Song Dong 001 (Knowl. Based Syst., 2022)

Insight Analysis for Tennis Strategy and Tactics. - Zhaoyu Liu; Kan Jiang; Zhe Hou; Yun Lin 001; Jin Song Dong 001 (ICDM, 2023)

Sports Analytics Using Probabilistic Model Checking and Deep Learning. - Jin Song Dong 001; Kan Jiang; Zhaoyu Liu; Chen Dong; Zhe Hou; Rajdeep Singh Hundal; Jingyu Guo; Yun Lin 001 (ICECCS, 2023)

DeepArc: Modularizing Neural Networks for the Model Maintenance. - Xiaoning Ren; Yun Lin 001; Yinxing Xue; Ruofan Liu; Jun Sun 001; Zhiyong Feng 002; Jin Song Dong 001 (ICSE, 2023)

BugMiner: Automating Precise Bug Dataset Construction by Code Evolution History Mining. - Xuezhi Song; Yijian Wu; Junming Cao; Bihuan Chen 001; Yun Lin 001; Zhengjie Lu; Dingji Wang; Xin Peng 001 (ASE, 2023)

B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning. - Mengyue Liu; Yun Lin 001; Jun Liu 002; Bohao Liu; Qinghua Zheng; Jin Song Dong 001 (KDD, 2023)

Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective. - Jihong Wang 003; Minnan Luo; Jundong Li; Yun Lin 001; Yushun Dong; Jin Song Dong 001; Qinghua Zheng (KDD, 2023)

On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models. - Yufan Cai; Yun Lin 001; Chenyan Liu; Jinglian Wu; Yifan Zhang; Yiming Liu; Yeyun Gong; Jin Song Dong 001 (NeurIPS, 2023)

API-Knowledge Aware Search-Based Software Testing: Where, What, and How. - Xiaoxue Ren; Xinyuan Ye; Yun Lin 001; Zhenchang Xing; Shuqing Li 001; Michael R. Lyu (ESEC/SIGSOFT FSE, 2023)

DeepDebugger: An Interactive Time-Travelling Debugging Approach for Deep Classifiers. - Xianglin Yang; Yun Lin 001; Yifan Zhang; Linpeng Huang; Jin Song Dong 001; Hong Mei 001 (ESEC/SIGSOFT FSE, 2023)

Knowledge Expansion and Counterfactual Interaction for Reference-Based Phishing Detection. - Ruofan Liu; Yun Lin 001; Yifan Zhang; Penn Han Lee; Jin Song Dong 001 (USENIX Security Symposium, 2023)

Demystifying Performance Regressions in String Solvers. - Yao Zhang 019; Xiaofei Xie; Yi Li 008; Yun Lin 001; Sen Chen 001; Yang Liu 003; Xiaohong Li 001 (IEEE Trans. Software Eng., 2023)

CoEdPilot: Recommending Code Edits with Learned Prior Edit Relevance, Project-wise Awareness, and Interactive Nature. - Chenyan Liu; Yufan Cai; Yun Lin 001; Yuhuan Huang; Yunrui Pei; Bo Jiang; Ping Yang; Jin Song Dong 001; Hong Mei 001 (ISSTA, 2024)

C2D2: Extracting Critical Changes for Real-World Bugs with Dependency-Sensitive Delta Debugging. - Xuezhi Song; Yijian Wu; Shuning Liu; Bihuan Chen 001; Yun Lin 001; Xin Peng 001 (ISSTA, 2024)

Revisiting the Conflict-Resolving Problem from a Semantic Perspective. - Jinhao Dong; Jun Sun 001; Yun Lin 001; Yedi Zhang; Murong Ma; Jin Song Dong 001; Dan Hao 001 (ASE, 2024)

Detecting and Explaining Anomalies Caused by Web Tamper Attacks via Building Consistency-based Normality. - Yifan Liao; Ming Xu 006; Yun Lin 001; Xiwen Teoh; Xiaofei Xie; Ruitao Feng; Frank Liaw; Hongyu Zhang 002; Jin Song Dong 001 (ASE, 2024)

Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List. - Ruofan Liu; Yun Lin 001; Xiwen Teoh; Gongshen Liu; Zhiyong Huang; Jin Song Dong 001 (USENIX Security Symposium, 2024)

PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models. - Xiwen Teoh; Yun Lin 001; Ruofan Liu; Zhiyong Huang; Jin Song Dong 001 (USENIX Security Symposium, 2024)

A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction. - Yudai Pan; Jun Liu 002; Tianzhe Zhao; Lingling Zhang 005; Yun Lin 001; Jin Song Dong 001 (WWW, 2024)

Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography. - Nhat Minh Chung; Sensen Gao; Tuan-Anh Vu; Jie Zhang 002; Aishan Liu; Yun Lin 001; Jin Song Dong 001; Qing Guo 005 (CoRR, 2024)

Towards Large Language Model Aided Program Refinement. - Yufan Cai; Zhe Hou; Xiaokun Luan; David Sanán; Yun Lin 001; Jun Sun 001; Jin Song Dong 001 (CoRR, 2024)

Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations. - Qi Guo; Minghao Yao; Zhen Tian; Saiyu Qi; Yong Qi; Yun Lin 001; Jin Song Dong 001 (CoRR, 2024)

LLM-based Abstraction and Concretization for GUI Test Migration. - Yakun Zhang 001; Chen Liu 041; Xiaofei Xie; Yun Lin 001; Jin Song Dong 001; Dan Hao 001; Lu Zhang 023 (CoRR, 2024)

Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation. - Qi Guo; Zhen Tian; Minghao Yao; Yong Qi; Saiyu Qi; Yun Lin 001; Jin Song Dong 001 (CoRR, 2024)

AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions. - Xinchen Wang; Pengfei Gao; Xiangxin Meng; Chao Peng 002; Ruida Hu; Yun Lin 001; Cuiyun Gao 001 (CoRR, 2024)

Defending LVLMs Against Vision Attacks through Partial-Perception Supervision. - Qi Zhou 012; Tianlin Li; Qing Guo 005; Dongxia Wang 002; Yun Lin 001; Yang Liu 003; Jin Song Dong 001 (CoRR, 2024)

A prompt-based approach to adversarial example generation and robustness enhancement. - Yuting Yang 002; Pei Huang 002; Juan Cao 001; Jintao Li 001; Yun Lin 001; Feifei Ma (Frontiers Comput. Sci., 2024)

Introduction to the Special Collection from PRDC 2023. - Zhe Hou; Yun Lin 001 (Formal Aspects Comput., 2024)

F3Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos. - Zhaoyu Liu; Kan Jiang; Murong Ma; Zhe Hou; Yun Lin 001; Jin Song Dong 001 (ICLR, 2025)

AEGIS: An Agent-based Framework for Bug Reproduction from Issue Descriptions. - Xinchen Wang; Pengfei Gao; Xiangxin Meng; Chao Peng 002; Ruida Hu; Yun Lin 001; Cuiyun Gao 001 (SIGSOFT FSE Companion, 2025)

Automated Program Refinement: Guide and Verify Code Large Language Model with Refinement Calculus. - Yufan Cai; Zhe Hou; David Sanán; Xiaokun Luan; Yun Lin 001; Jun Sun 001; Jin Song Dong 001 (Proc. ACM Program. Lang., 2025)

GUIPilot: A Consistency-Based Mobile GUI Testing Approach for Detecting Application-Specific Bugs. - Ruofan Liu; Xiwen Teoh; Yun Lin 001; Guanjie Chen; Ruofei Ren; Denys Poshyvanyk; Jin Song Dong 001 (Proc. ACM Softw. Eng., 2025)

CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift. - Jiongchi Yu; Xiaofei Xie; Qiang Hu; Bowen Zhang; Ziming Zhao 008; Yun Lin 001; Lei Ma 003; Ruitao Feng; Frank Liauw (Proc. ACM Softw. Eng., 2025)

F3Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos. - Zhaoyu Liu; Kan Jiang; Murong Ma; Zhe Hou; Yun Lin 001; Jin Song Dong 001 (CoRR, 2025)

On the Account Security Risks Posed by Password Strength Meters. - Ming Xu 006; Weili Han; Jitao Yu; Jing Liu; Xinyi Zhang; Yun Lin 001; Jin Song Dong 001 (CoRR, 2025)

PiMRef: Detecting and Explaining Ever-evolving Spear Phishing Emails with Knowledge Base Invariants. - Ruofan Liu; Yun Lin 001; Silas Yeo Shuen Yu; Xiwen Teoh; Zhenkai Liang; Jin Song Dong 001 (CoRR, 2025)

Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling. - Pengfei Gao; Zhao Tian; Xiangxin Meng; Xinchen Wang; Ruida Hu; Yuanan Xiao; Yizhou Liu; Zhao Zhang; Junjie Chen; Cuiyun Gao 001; Yun Lin 001; Yingfei Xiong 004; et al. (CoRR, 2025)