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2020 – today
- 2025
[j14]Zhenzhou Tian
, Haojiang Li, Hanlin Sun, Yanping Chen, Lingwei Chen:
HardVD: High-capacity cross-modal adversarial reprogramming for data-efficient vulnerability detection. Inf. Sci. 686: 121370 (2025)- 2024
- [j13]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): 121865 (2024) - [j12]Zhenzhou Tian, Ruikang He, Hongliang Zhao, Lingwei Chen:
Function-Level Code Obfuscation Detection Through Self-Attention-Guided Multi-Representation Fusion. Int. J. Softw. Eng. Knowl. Eng. 34(4): 651-673 (2024) - [j11]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: 112706 (2024) - [j10]Zhenzhou Tian, Fanfan Wang, Yanping Chen, Lingwei Chen:
Differential testing solidity compiler through deep contract manipulation and mutation. Softw. Qual. J. 32(2): 765-790 (2024) - [j9]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): 46:1-46:24 (2024) - [j8]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: 101289 (2024) - [c42]Bradley Ashmore, Lingwei Chen:
Leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs. DASFAA (6) 2024: 68-83 - [c41]Shixiong Jing, Lingwei Chen, Quan Li, Dinghao Wu:
H2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations. DASFAA (6) 2024: 342-352 - [c40]Shixiong Jing, Lingwei Chen, Quan Li, Dinghao Wu:
DOS-GNN: Dual-Feature Aggregations with Over-Sampling for Class-Imbalanced Fraud Detection On Graphs. IJCNN 2024: 1-8 - [i7]Quan Li, Shixiong Jing, Lingwei Chen:
Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inference. CoRR abs/2401.06802 (2024) - [i6]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 abs/2407.13989 (2024) - 2023
- [j7]Hossein Mohammadi, Krishnaprasad Thirunarayan, Lingwei Chen:
CVII: Enhancing Interpretability in Intelligent Sensor Systems via Computer Vision Interpretability Index. Sensors 23(24): 9893 (2023) - [c39]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: 1-5 - [c38]Bradley Ashmore, Lingwei Chen:
HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs. CIKM 2023: 3728-3732 - [c37]Shifu Hou, Lingwei Chen, Mingxuan Ju, Yanfang Ye:
Leveraging Comment Retrieval for Code Summarization. ECIR (2) 2023: 439-447 - [c36]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: 12831-12844 - [c35]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: 208-216 - [c34]Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu:
Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification. ICDM 2023: 1115-1120 - [c33]Quan Li, Lingwei Chen, Yong Cai, Dinghao Wu:
Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge. PAKDD (3) 2023: 204-215 - [c32]Daniel Grahn, Lingwei Chen, Junjie Zhang:
Code Execution Capability as a Metric for Machine Learning-Assisted Software Vulnerability Detection Models. TrustCom 2023: 1606-1613 - [c31]Daniel Chong, Junjie Zhang, Nathaniel Boland, Lingwei Chen:
Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features. UbiSec 2023: 450-461 - [c30]Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu:
Knowledge Distillation on Cross-Modal Adversarial Reprogramming for Data-Limited Attribute Inference. WWW (Companion Volume) 2023: 65-68 - [i5]Christopher Burger, Lingwei Chen, Thai Le:
Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Textual Classification Models via Adversarial Perturbation. CoRR abs/2305.12351 (2023) - [i4]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 abs/2305.19373 (2023) - [i3]Xiaoting Li, Lingwei Chen, Dinghao Wu:
Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy. CoRR abs/2306.02488 (2023) - 2022
- [j6]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): 450-477 (2022) - [c29]Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu:
ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing. AAAI 2022: 12559-12565 - [c28]Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu:
FuzzBoost: Reinforcement Compiler Fuzzing. ICICS 2022: 359-375 - [c27]Shifu Hou, Lingwei Chen, Yanfang Ye:
Summarizing Source Code from Structure and Context. IJCNN 2022: 1-8 - [c26]Lingwei Chen, Xiaoting Li, Dinghao Wu:
Adversarially Reprogramming Pretrained Neural Networks for Data-limited and Cost-efficient Malware Detection. SDM 2022: 693-701 - [c25]Xiaoting Li, Lingwei Chen, Dinghao Wu:
Adversary for Social Good: Leveraging Attribute-Obfuscating Attack to Protect User Privacy on Social Networks. SecureComm 2022: 710-728 - [c24]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: 513-518 - [c23]Quan Li, Xiaoting Li, Lingwei Chen, Dinghao Wu:
Distilling Knowledge on Text Graph for Social Media Attribute Inference. SIGIR 2022: 2024-2028 - 2021
- [j5]Zhenzhou Tian, Yaqian Huang, Borun Xie, Yanping Chen, Lingwei Chen, Dinghao Wu:
Fine-Grained Compiler Identification With Sequence-Oriented Neural Modeling. IEEE Access 9: 49160-49175 (2021) - [j4]Defu Zhang, Ronghua Luo, Xuebin Chen, Lingwei Chen:
Pyramid Co-Attention Compare Network for Few-Shot Segmentation. IEEE Access 9: 137249-137259 (2021) - [c22]Lingwei Chen, Yujie Fan, Yanfang Ye:
Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. CIKM 2021: 2935-2939 - [c21]Lingwei Chen, Ronghua Luo, Defu Zhang:
Compare Network with Task-dependent Embeddings for Few-shot Learning. IJCNN 2021: 1-7 - [c20]Xiaoting Li, Lingwei Chen, Jinquan Zhang, James R. Larus, Dinghao Wu:
Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks. IJCNN 2021: 1-8 - [c19]Xiaoting Li, Lingwei Chen, Dinghao Wu:
Turning Attacks into Protection: Social Media Privacy Protection Using Adversarial Attacks. SDM 2021: 208-216 - 2020
- [j3]Zhenzhou Tian, Qing Wang, Cong Gao, Lingwei Chen, Dinghao Wu:
Plagiarism Detection of Multi-Threaded Programs via Siamese Neural Networks. IEEE Access 8: 160802-160814 (2020) - [j2]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): 1667-1688 (2020) - [c18]Lingwei Chen, Xiaoting Li, Dinghao Wu:
Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections. ECML/PKDD (3) 2020: 412-428 - [c17]Qing Wang, Zhenzhou Tian, Cong Gao, Lingwei Chen:
Plagiarism Detection of Multi-threaded Programs using Frequent Behavioral Pattern Mining. SEKE 2020: 293-298 - [c16]Borun Xie, Zhenzhou Tian, Cong Gao, Lingwei Chen:
Towards Fine-Grained Compiler Identification with Neural Modeling. SEKE 2020: 305-310
2010 – 2019
- 2019
- [c15]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: 1097-1104 - [c14]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: 2272-2278 - [c13]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: 4150-4156 - [i2]Songtao Liu, Lingwei Chen, Hanze Dong, Zihao Wang, Dinghao Wu, Zengfeng Huang:
Higher-order Weighted Graph Convolutional Networks. CoRR abs/1911.04129 (2019) - 2018
- [j1]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): 265-285 (2018) - [c12]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: 542-552 - [c11]Lingwei Chen, Shifu Hou, Yanfang Ye, Shouhuai Xu:
DroidEye: Fortifying Security of Learning-Based Classifier Against Adversarial Android Malware Attacks. ASONAM 2018: 782-789 - [i1]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 abs/1811.01027 (2018) - 2017
- [c10]Lingwei Chen, Shifu Hou, Yanfang Ye:
SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks. ACSAC 2017: 362-372 - [c9]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: 31-42 - [c8]Lingwei Chen, Shifu Hou, Yanfang Ye, Lifei Chen:
An Adversarial Machine Learning Model Against Android Malware Evasion Attacks. APWeb/WAIM Workshops 2017: 43-55 - [c7]Shifu Hou, Aaron Saas, Lingwei Chen, Yanfang Ye, Thirimachos Bourlai:
Deep Neural Networks for Automatic Android Malware Detection. ASONAM 2017: 803-810 - [c6]Lingwei Chen, Yanfang Ye:
SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks. Australasian Conference on Artificial Intelligence 2017: 76-89 - [c5]Lingwei Chen, Yanfang Ye, Thirimachos Bourlai:
Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense. EISIC 2017: 99-106 - 2016
- [c4]Abu Hasnat Mohammad Rubaiyat, Tanjin Taher 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: 135-142 - 2015
- [c3]Lingwei Chen, Tao Li, Melih Abdulhayoglu, Yanfang Ye:
Intelligent malware detection based on file relation graphs. ICSC 2015: 85-92 - [c2]Lingwei Chen, William Hardy, Yanfang Ye, Tao Li:
Analyzing File-to-File Relation Network in Malware Detection. WISE (1) 2015: 415-430
2000 – 2009
- 2008
- [c1]Lingwei Chen, Xinyu Chen, Ping Guo:
Blind Image Restoration Using Divisional Regularization and Wavelet Technique. ICNC (5) 2008: 476-480
Coauthor Index
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last updated on 2024-10-30 21:32 CET by the dblp team
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