Lingwei Chen

According to our database, Lingwei Chen authored at least 52 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing vulnerability detection via AST decomposition and neural sub-tree encoding.

Zhenzhou Tian, Binhui Tian, Jiajun Lv, Yanping Chen, Lingwei Chen

Expert Syst. Appl., March, 2024

Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy.

Xiaoting Li, Lingwei Chen, Dinghao Wu

ACM Trans. Knowl. Discov. Data, February, 2024

A coherence-improved and mass-balanced inflow turbulence generation method for large eddy simulation.

Lingwei Chen, Chao Li, Jinghan Wang, Gang Hu, Yiqing Xiao

J. Comput. Phys., February, 2024

Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inference.

Quan Li, Shixiong Jing, Lingwei Chen

CoRR, 2024

2023

CVII: Enhancing Interpretability in Intelligent Sensor Systems via Computer Vision Interpretability Index.

Hossein Mohammadi, Krishnaprasad Thirunarayan, Lingwei Chen

Sensors, December, 2023

Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Textual Classification Models via Adversarial Perturbation.

Christopher Burger, Lingwei Chen, Thai Le

CoRR, 2023

Knowledge Distillation on Cross-Modal Adversarial Reprogramming for Data-Limited Attribute Inference.

Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features.

Daniel Chong, Junjie Zhang, Nathaniel Boland, Lingwei Chen

Proceedings of the Ubiquitous Security, 2023

Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge.

Quan Li, Lingwei Chen, Yong Cai, Dinghao Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification.

Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure.

Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita

Proceedings of the IEEE International Conference on Digital Health, 2023

"Are Your Explanations Reliable?" Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack.

Christopher Burger, Lingwei Chen, Thai Le

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Leveraging Comment Retrieval for Code Summarization.

Shifu Hou, Lingwei Chen, Mingxuan Ju, Yanfang Ye

Proceedings of the Advances in Information Retrieval, 2023

HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs.

Bradley Ashmore, Lingwei Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enhancing Rare Cell Type Identification in Single-Cell Data: An Innovative Gene Filtering Approach using Bipartite Cell-Gene Relation Graph.

Maziyar Baranpouyan, Hossein Mohammadi, Hojjat Torabi Goudarzi, Krishnaprasad Thirunarayan, Lingwei Chen

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022

Landscape estimation of solidity version usage on Ethereum via version identification.

Zhenzhou Tian, Jie Tian, Zhongmin Wang, Yanping Chen, Hong Xia, Lingwei Chen

Int. J. Intell. Syst., 2022

Distilling Knowledge on Text Graph for Social Media Attribute Inference.

Quan Li, Xiaoting Li, Lingwei Chen, Dinghao Wu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Ethereum Smart Contract Representation Learning for Robust Bytecode-Level Similarity Detection.

Zhenzhou Tian, Yaqian Huang, Jie Tian, Zhongmin Wang, Yanping Chen, Lingwei Chen

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

Adversary for Social Good: Leveraging Attribute-Obfuscating Attack to Protect User Privacy on Social Networks.

Xiaoting Li, Lingwei Chen, Dinghao Wu

Proceedings of the Security and Privacy in Communication Networks, 2022

Adversarially Reprogramming Pretrained Neural Networks for Data-limited and Cost-efficient Malware Detection.

Lingwei Chen, Xiaoting Li, Dinghao Wu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Summarizing Source Code from Structure and Context.

Shifu Hou, Lingwei Chen, Yanfang Ye

Proceedings of the International Joint Conference on Neural Networks, 2022

FuzzBoost: Reinforcement Compiler Fuzzing.

Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu

Proceedings of the Information and Communications Security - 24th International Conference, 2022

ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing.

Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Pyramid Co-Attention Compare Network for Few-Shot Segmentation.

Defu Zhang, Ronghua Luo, Xuebin Chen, Lingwei Chen

IEEE Access, 2021

Fine-Grained Compiler Identification With Sequence-Oriented Neural Modeling.

Zhenzhou Tian, Yaqian Huang, Borun Xie, Yanping Chen, Lingwei Chen, Dinghao Wu

IEEE Access, 2021

Turning Attacks into Protection: Social Media Privacy Protection Using Adversarial Attacks.

Xiaoting Li, Lingwei Chen, Dinghao Wu

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks.

Xiaoting Li, Lingwei Chen, Jinquan Zhang, James R. Larus, Dinghao Wu

Proceedings of the International Joint Conference on Neural Networks, 2021

Compare Network with Task-dependent Embeddings for Few-shot Learning.

Lingwei Chen, Ronghua Luo, Defu Zhang

Proceedings of the International Joint Conference on Neural Networks, 2021

Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection.

Lingwei Chen, Yujie Fan, Yanfang Ye

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Plagiarism Detection of Multi-threaded Programs Using Frequent Behavioral Pattern Mining.

Zhenzhou Tian, Qing Wang, Cong Gao, Lingwei Chen, Dinghao Wu

Int. J. Softw. Eng. Knowl. Eng., 2020

Plagiarism Detection of Multi-Threaded Programs via Siamese Neural Networks.

Zhenzhou Tian, Qing Wang, Cong Gao, Lingwei Chen, Dinghao Wu

IEEE Access, 2020

Towards Fine-Grained Compiler Identification with Neural Modeling.

Borun Xie, Zhenzhou Tian, Cong Gao, Lingwei Chen

Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

Plagiarism Detection of Multi-threaded Programs using Frequent Behavioral Pattern Mining.

Qing Wang, Zhenzhou Tian, Cong Gao, Lingwei Chen

Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections.

Lingwei Chen, Xiaoting Li, Dinghao Wu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Higher-order Weighted Graph Convolutional Networks.

Songtao Liu, Lingwei Chen, Hanze Dong, Zihao Wang, Dinghao Wu, Zengfeng Huang

CoRR, 2019

Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection.

Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow.

Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

iTrustSO: an intelligent system for automatic detection of insecure code snippets in stack overflow.

Lingwei Chen, Shifu Hou, Yanfang Ye, Thirimachos Bourlai, Shouhuai Xu, Liang Zhao

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

DeepAM: a heterogeneous deep learning framework for intelligent malware detection.

Yanfang Ye, Lingwei Chen, Shifu Hou, William Hardy, Xin Li

Knowl. Inf. Syst., 2018

AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection.

Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao

CoRR, 2018

DroidEye: Fortifying Security of Learning-Based Classifier Against Adversarial Android Malware Attacks.

Lingwei Chen, Shifu Hou, Yanfang Ye, Shouhuai Xu

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network.

Yanfang Ye, Shifu Hou, Lingwei Chen, Xin Li, Liang Zhao, Shouhuai Xu, Jiabin Wang, Qi Xiong

Proceedings of the 34th Annual Computer Security Applications Conference, 2018

2017

Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense.

Lingwei Chen, Yanfang Ye, Thirimachos Bourlai

Proceedings of the European Intelligence and Security Informatics Conference, 2017

SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks.

Lingwei Chen, Yanfang Ye

Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

Deep Neural Networks for Automatic Android Malware Detection.

Shifu Hou, Aaron Saas, Lingwei Chen, Yanfang Ye, Thirimachos Bourlai

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection.

Shifu Hou, Lingwei Chen, Yanfang Ye, Lifei Chen

Proceedings of the Web and Big Data, 2017

An Adversarial Machine Learning Model Against Android Malware Evasion Attacks.

Lingwei Chen, Shifu Hou, Yanfang Ye, Lifei Chen

Proceedings of the Web and Big Data, 2017

SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks.

Lingwei Chen, Shifu Hou, Yanfang Ye

Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

2016

Automatic Detection of Helmet Uses for Construction Safety.

Abu Hasnat Mohammad Rubaiyat, Tanjin Taher Toma, Masoumeh Kalantari Khandani, Syed Ashiqur Rahman, Lingwei Chen, Yanfang Ye, Christopher S. Pan

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

2015

Analyzing File-to-File Relation Network in Malware Detection.

Lingwei Chen, William Hardy, Yanfang Ye, Tao Li

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Intelligent malware detection based on file relation graphs.

Lingwei Chen, Tao Li, Melih Abdulhayoglu, Yanfang Ye

Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

2008

Blind Image Restoration Using Divisional Regularization and Wavelet Technique.

Lingwei Chen, Xinyu Chen, Ping Guo

Proceedings of the Fourth International Conference on Natural Computation, 2008