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ORCIDYun Lin 0001
林云
Person information
- affiliation: Shanghai Jiao Tong University, China
- affiliation (former): National University of Singapore, School of Computing, Singapore
- unicode name: 林云
Other persons with the same name
- Yun Lin (aka: Lin Yun) — disambiguation page
- Yun Lin 0002
![[0000-0002-3020-5715]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3020-5715")
— North China University of Technology, School of Electronic Information Engineering, Beijing, China (and 1 more) - Yun Lin 0003 — University of South Florida, Tampa, FL, USA
- Yun Lin 0004 — Norwegian University of Science and Technology, Trondheim, Norway
- Yun Lin 0005 — Harbin Engineering University, College of Information and Communication Engineering, China
- Yun Lin 0006 — Central South University, School of Resources and Safety Engineering, Changsha, China
- Yun Lin 0007 — Norwegian University of Science and Technology, Trondheim, Norway
- Yun Lin 0009 — Chongqing University, School of Management Science and Real Estate, China (and 1 more)
- Yun Lin 0010 — Southeast University, School of Mechanical Engineering, Nanjing, China
- Yun Lin 0011 — University of Kentucky, Computer Science Department, Lexington, KY, USA
- Yun Lin 0012 — Chinese Academy of Sciences, Chengdu Institute of Computer Applications, Computer Control College, China
- Yun Lin 0013 — Chongqing University of Posts and Telecommunications, Chongqing Key Lab of Mobile Communications Technology, China
- Yun Lin 0014 — Institute of High Performance Computing, Fusionopolis, Singapore
Other persons with a similar name
- Chun-Yuen Lin
- Tzu-Yun Lin
- Yujun Lin (aka: Yu-Yun Lin) — disambiguation page
- Yun-Jou Lin
- Yun-Shao Lin
- Yun-Ting Lin
- Yun-Wei Lin
- Yun-Wen Lin
- Yun Hui Lin
- Yun Lung Lin
- show all similar names
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2020 – today
- 2024
[j7]Yuting Yang, Pei Huang, Juan Cao, Jintao Li, Yun Lin, Feifei Ma:
A prompt-based approach to adversarial example generation and robustness enhancement. Frontiers Comput. Sci. 18(4) (2024)- [c41]Xuezhi Song, Yijian Wu, Shuning Liu, Bihuan Chen, Yun Lin, Xin Peng:
C2D2: Extracting Critical Changes for Real-World Bugs with Dependency-Sensitive Delta Debugging. ISSTA 2024: 300-312 - [c40]Chenyan Liu, Yufan Cai, Yun Lin, Yuhuan Huang, Yunrui Pei, Bo Jiang, Ping Yang, Jin Song Dong, Hong Mei:
CoEdPilot: Recommending Code Edits with Learned Prior Edit Relevance, Project-wise Awareness, and Interactive Nature. ISSTA 2024: 466-478 - [c39]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 - [c38]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 - [c37]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: 2181-2192 - [i15]Nhat Minh Chung, Sensen Gao, Tuan-Anh Vu, Jie Zhang, Aishan Liu, Yun Lin, Jin Song Dong, Qing Guo:
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography. CoRR abs/2405.14169 (2024) - [i14]Yufan Cai, Zhe Hou, Xiaokun Luan, David Sanán, Yun Lin, Jun Sun, Jin Song Dong:
Towards Large Language Model Aided Program Refinement. CoRR abs/2406.18616 (2024) - [i13]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 abs/2407.02073 (2024) - [i12]Chenyan Liu, Yufan Cai, Yun Lin, Yuhuan Huang, Yunrui Pei, Bo Jiang, Ping Yang, Jin Song Dong, Hong Mei:
CoEdPilot: Recommending Code Edits with Learned Prior Edit Relevance, Project-wise Awareness, and Interactive Nature. CoRR abs/2408.01733 (2024) - [i11]Yakun Zhang, Chen Liu, Xiaofei Xie, Yun Lin, Jin Song Dong, Dan Hao, Lu Zhang:
LLM-based Abstraction and Concretization for GUI Test Migration. CoRR abs/2409.05028 (2024) - [i10]Qi Guo, Zhen Tian, Minghao Yao, Yong Qi, Saiyu Qi, Yun Lin, Jin Song Dong:
Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation. CoRR abs/2410.06848 (2024) - 2023
- [j6]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): 947-961 (2023) - [c36]Zhaoyu Liu, Kan Jiang, Zhe Hou, Yun Lin, Jin Song Dong:
Insight Analysis for Tennis Strategy and Tactics. ICDM 2023: 1169-1174 - [c35]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: 7-11 - [c34]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 - [c33]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: 1919-1929 - [c32]Mengyue Liu, Yun Lin, Jun Liu, Bohao Liu, Qinghua Zheng, Jin Song Dong:
B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning. KDD 2023: 1489-1500 - [c31]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: 2349-2360 - [c30]Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong:
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models. NeurIPS 2023 - [c29]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: 973-985 - [c28]Xiaoxue Ren, Xinyuan Ye, Yun Lin, Zhenchang Xing, Shuqing Li, Michael R. Lyu:
API-Knowledge Aware Search-Based Software Testing: Where, What, and How. ESEC/SIGSOFT FSE 2023: 1320-1332 - [c27]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 - 2022
- [j5]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: 111410 (2022) - [j4]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: 107936 (2022) - [c26]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 - [c25]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: 90-94 - [c24]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 - [c23]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: 314-326 - [c22]Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong:
Repairing Failure-inducing Inputs with Input Reflection. ASE 2022: 85:1-85:13 - [c21]Ruofan Liu, Yun Lin, Xianglin Yang, Jin Song Dong:
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective. NeurIPS 2022 - [c20]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: 1711-1715 - [c19]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 - [i9]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) - [i8]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 abs/2203.10714 (2022) - [i7]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 abs/2206.12227 (2022) - 2021
- [j3]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: 2447-2460 (2021) - [j2]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): 2421-2437 (2021) - [c18]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: 372-384 - [c17]Siqi Li, Yun Lin, Xiaofei Xie, Yuekang Li, Xiaohong Li, Weimin Ge, Yang Liu, Jin Song Dong:
A First Look at the Effect of Deep Learning in Coverage-guided Fuzzing. ASE 2021: 1186-1189 - [c16]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: 1068-1080 - [c15]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 - [i6]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 abs/2103.02371 (2021) - [i5]Xuezhi Song, Yun Lin, Siang Hwee Ng, Ping Yu, Xin Peng, Jin Song Dong:
Constructing Regression Dataset from Code Evolution History. CoRR abs/2109.12389 (2021) - [i4]Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong:
Generalizing Neural Networks by Reflecting Deviating Data in Production. CoRR abs/2110.02718 (2021) - 2020
- [c14]Qingze Hum, Wei Jin Tan, Shi Ying Tey, Latasha Lenus, Ivan Homoliak, Yun Lin, Jun Sun:
CoinWatch: A Clone-Based Approach For Detecting Vulnerabilities in Cryptocurrencies. Blockchain 2020: 17-25 - [c13]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: 274-275 - [c12]Tai D. Nguyen, Long H. Pham, Jun Sun, Yun Lin, Quang Tran Minh:
sFuzz: an efficient adaptive fuzzer for solidity smart contracts. ICSE 2020: 778-788 - [c11]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: 440-451 - [c10]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: 1029-1040 - [i3]Tai D. Nguyen, Long H. Pham, Jun Sun, Yun Lin, Quang Tran Minh:
sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts. CoRR abs/2004.08563 (2020) - [i2]Qingze Hum, Wei Jin Tan, Shi Ying Tey, Latasha Lenus, Ivan Homoliak, Yun Lin, Jun Sun:
CoinWatch: A Clone-Based Approach For Detecting Vulnerabilities in Cryptocurrencies. CoRR abs/2006.10280 (2020)
2010 – 2019
- 2019
- [j1]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): 2886-2927 (2019) - [c9]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: 718-728 - [i1]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 abs/1912.04466 (2019) - 2018
- [c8]Xinyu Wang, Jun Sun, Zhenbang Chen, Peixin Zhang, Jingyi Wang, Yun Lin:
Towards optimal concolic testing. ICSE 2018: 291-302 - [c7]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: 509-519 - 2017
- [c6]Yun Lin, Jun Sun, Yinxing Xue, Yang Liu, Jin Song Dong:
Feedback-based debugging. ICSE 2017: 393-403 - [c5]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: 394-404 - 2016
- [c4]Yun Lin, Xin Peng, Yuanfang Cai, Danny Dig, Diwen Zheng, Wenyun Zhao:
Interactive and guided architectural refactoring with search-based recommendation. SIGSOFT FSE 2016: 535-546 - 2015
- [c3]Yun Lin, Xin Peng, Zhenchang Xing, Diwen Zheng, Wenyun Zhao:
Clone-based and interactive recommendation for modifying pasted code. ESEC/SIGSOFT FSE 2015: 520-531 - 2014
- [c2]Yun Lin, Zhenchang Xing, Yinxing Xue, Yang Liu, Xin Peng, Jun Sun, Wenyun Zhao:
Detecting differences across multiple instances of code clones. ICSE 2014: 164-174 - [c1]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: 341-350
Coauthor Index
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