Lingwei Chen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 55

Top Topics

Malware Detection

Top Venues

Publications

Lingwei Chen, Chao Li, Jinghan Wang, Gang Hu, Yiqing Xiao
A coherence-improved and mass-balanced inflow turbulence generation method for large eddy simulation. J. Comput. Phys. 498 (2024)
Quan Li, Tianxiang Zhao, Lingwei Chen, Junjie Xu, Suhang Wang
Enhancing Data-Limited Graph Neural Networks by Actively Distilling Knowledge from Large Language Models. CoRR (2024)
Xiaoting Li, Lingwei Chen, Dinghao Wu
Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Zhenzhou Tian, Yuchen Gong, Chenhao Chang, Jiaze Sun, Yanping Chen, Lingwei Chen
An empirical study on divergence of differently-sourced LLVM IRs. J. Comput. Lang. 81 (2024)
Quan Li, Shixiong Jing, Lingwei Chen
Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inference. CoRR (2024)
Zhenzhou Tian, Fanfan Wang, Yanping Chen, Lingwei Chen
Differential testing solidity compiler through deep contract manipulation and mutation. Softw. Qual. J. 32 (2) (2024)
Zhenzhou Tian, Binhui Tian, Jiajun Lv, Yanping Chen, Lingwei Chen
Enhancing vulnerability detection via AST decomposition and neural sub-tree encoding. Expert Syst. Appl. 238 (Part B) (2024)
Maziyar Baranpouyan, Hossein Mohammadi, Hojjat Torabi Goudarzi, Krishnaprasad Thirunarayan, Lingwei Chen
Enhancing Rare Cell Type Identification in Single-Cell Data: An Innovative Gene Filtering Approach using Bipartite Cell-Gene Relation Graph. BHI (2023)
Bradley Ashmore, Lingwei Chen
HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs. CIKM (2023)
Daniel Chong, Junjie Zhang, Nathaniel Boland, Lingwei Chen
Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features. UbiSec (2023)
Christopher Burger, Lingwei Chen, Thai Le
Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Textual Classification Models via Adversarial Perturbation. CoRR (2023)
Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu
Knowledge Distillation on Cross-Modal Adversarial Reprogramming for Data-Limited Attribute Inference. WWW (Companion Volume) (2023)
Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. ICDH (2023)
Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. CoRR (2023)
Daniel Grahn, Lingwei Chen, Junjie Zhang
Code Execution Capability as a Metric for Machine Learning-Assisted Software Vulnerability Detection Models. TrustCom (2023)
Hossein Mohammadi, Krishnaprasad Thirunarayan, Lingwei Chen
CVII: Enhancing Interpretability in Intelligent Sensor Systems via Computer Vision Interpretability Index. Sensors 23 (24) (2023)
Christopher Burger, Lingwei Chen, Thai Le
"Are Your Explanations Reliable?" Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack. EMNLP (2023)
Xiaoting Li, Lingwei Chen, Dinghao Wu
Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy. CoRR (2023)
Quan Li, Lingwei Chen, Yong Cai, Dinghao Wu
Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge. PAKDD (3) (2023)
Shifu Hou, Lingwei Chen, Mingxuan Ju, Yanfang Ye
Leveraging Comment Retrieval for Code Summarization. ECIR (2) (2023)
Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu
Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification. ICDM (2023)
Lingwei Chen, Xiaoting Li, Dinghao Wu
Adversarially Reprogramming Pretrained Neural Networks for Data-limited and Cost-efficient Malware Detection. SDM (2022)
Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu
FuzzBoost: Reinforcement Compiler Fuzzing. ICICS (2022)
Xiaoting Li, Lingwei Chen, Dinghao Wu
Adversary for Social Good: Leveraging Attribute-Obfuscating Attack to Protect User Privacy on Social Networks. SecureComm (2022)
Zhenzhou Tian, Yaqian Huang, Jie Tian, Zhongmin Wang, Yanping Chen, Lingwei Chen
Ethereum Smart Contract Representation Learning for Robust Bytecode-Level Similarity Detection. SEKE (2022)
Shifu Hou, Lingwei Chen, Yanfang Ye
Summarizing Source Code from Structure and Context. IJCNN (2022)
Zhenzhou Tian, Jie Tian, Zhongmin Wang, Yanping Chen, Hong Xia, Lingwei Chen
Landscape estimation of solidity version usage on Ethereum via version identification. Int. J. Intell. Syst. 37 (1) (2022)
Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu
ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing. AAAI (2022)
Quan Li, Xiaoting Li, Lingwei Chen, Dinghao Wu
Distilling Knowledge on Text Graph for Social Media Attribute Inference. SIGIR (2022)
Lingwei Chen, Yujie Fan, Yanfang Ye
Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. CIKM (2021)
Zhenzhou Tian, Yaqian Huang, Borun Xie, Yanping Chen, Lingwei Chen, Dinghao Wu
Fine-Grained Compiler Identification With Sequence-Oriented Neural Modeling. IEEE Access 9 (2021)
Xiaoting Li, Lingwei Chen, Jinquan Zhang, James Larus, Dinghao Wu
Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks. IJCNN (2021)
Lingwei Chen, Ronghua Luo, Defu Zhang
Compare Network with Task-dependent Embeddings for Few-shot Learning. IJCNN (2021)
Defu Zhang, Ronghua Luo, Xuebin Chen, Lingwei Chen
Pyramid Co-Attention Compare Network for Few-Shot Segmentation. IEEE Access 9 (2021)
Xiaoting Li, Lingwei Chen, Dinghao Wu
Turning Attacks into Protection: Social Media Privacy Protection Using Adversarial Attacks. SDM (2021)
Borun Xie, Zhenzhou Tian, Cong Gao, Lingwei Chen
Towards Fine-Grained Compiler Identification with Neural Modeling. SEKE (2020)
Lingwei Chen, Xiaoting Li, Dinghao Wu
Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections. ECML/PKDD (3) (2020)
Qing Wang, Zhenzhou Tian, Cong Gao, Lingwei Chen
Plagiarism Detection of Multi-threaded Programs using Frequent Behavioral Pattern Mining. SEKE (2020)
Zhenzhou Tian, Qing Wang, Cong Gao, Lingwei Chen, Dinghao Wu
Plagiarism Detection of Multi-threaded Programs Using Frequent Behavioral Pattern Mining. Int. J. Softw. Eng. Knowl. Eng. 30 (11&12) (2020)
Zhenzhou Tian, Qing Wang, Cong Gao, Lingwei Chen, Dinghao Wu
Plagiarism Detection of Multi-Threaded Programs via Siamese Neural Networks. IEEE Access 8 (2020)
Songtao Liu, Lingwei Chen, Hanze Dong, Zihao Wang, Dinghao Wu, Zengfeng Huang
Higher-order Weighted Graph Convolutional Networks. CoRR (2019)
Lingwei Chen, Shifu Hou, Yanfang Ye, Thirimachos Bourlai, Shouhuai Xu, Liang Zhao
iTrustSO: an intelligent system for automatic detection of insecure code snippets in stack overflow. ASONAM (2019)
Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection. IJCAI (2019)
Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. IJCAI (2019)
Yanfang Ye, Shifu Hou, Lingwei Chen, Xin Li, Liang Zhao, Shouhuai Xu, Jiabin Wang, Qi Xiong
ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network. ACSAC (2018)
Yanfang Ye, Lingwei Chen, Shifu Hou, William Hardy, Xin Li
DeepAM: a heterogeneous deep learning framework for intelligent malware detection. Knowl. Inf. Syst. 54 (2) (2018)
Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao
AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection. CoRR (2018)
Lingwei Chen, Shifu Hou, Yanfang Ye, Shouhuai Xu
DroidEye: Fortifying Security of Learning-Based Classifier Against Adversarial Android Malware Attacks. ASONAM (2018)
Lingwei Chen, Yanfang Ye, Thirimachos Bourlai
Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense. EISIC (2017)
Lingwei Chen, Yanfang Ye
SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks. Australasian Conference on Artificial Intelligence (2017)
Shifu Hou, Aaron Saas, Lingwei Chen, Yanfang Ye, Thirimachos Bourlai
Deep Neural Networks for Automatic Android Malware Detection. ASONAM (2017)
Lingwei Chen, Shifu Hou, Yanfang Ye, Lifei Chen
An Adversarial Machine Learning Model Against Android Malware Evasion Attacks. APWeb/WAIM Workshops (2017)
Lingwei Chen, Shifu Hou, Yanfang Ye
SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks. ACSAC (2017)
Shifu Hou, Lingwei Chen, Yanfang Ye, Lifei Chen
Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection. APWeb/WAIM Workshops (2017)
Abu Hasnat Mohammad Rubaiyat, Tanjin T. Toma, Masoumeh Kalantari Khandani, Syed Ashiqur Rahman, Lingwei Chen, Yanfang Ye, Christopher S. Pan
Automatic Detection of Helmet Uses for Construction Safety. WI Workshops (2016)
Lingwei Chen, William Hardy, Yanfang Ye, Tao Li
Analyzing File-to-File Relation Network in Malware Detection. WISE (1) (2015)
Lingwei Chen, Tao Li, Melih Abdulhayoglu, Yanfang Ye
Intelligent malware detection based on file relation graphs. ICSC (2015)
Lingwei Chen, Xinyu Chen, Ping Guo
Blind Image Restoration Using Divisional Regularization and Wavelet Technique. ICNC (5) (2008)