Lingwei Chen - RankMe

84 papers A* 9A 6B 10C 6Journal 34Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing vulnerability detection by fusing code semantic features with LLM-generated explanations. Inf. Fusion Zhenzhou Tian, Minghao Li, Jiaze Sun, Yanping Chen, Lingwei Chen
2026	J	`jnl`	Learning to detect malicious bots in computer networks via heterophily-aware isotropic out-of-distribution detection. World Wide Web (WWW) Bradley Ashmore, Lingwei Chen
2026	J	`jnl`	Reparameterizing adversarial reprogramming in low-dimensional subspace for efficient software vulnerability detection. J. Inf. Secur. Appl. Hootan Alavizadeh, Lingwei Chen, Junjie Zhang
2026	J	`jnl`	Robust vulnerability detection with limited data via training-efficient adversarial reprogramming. Autom. Softw. Eng. Zhenzhou Tian, Chuang Zhang, Yunpeng Hui, Jiaze Sun, Yanping Chen, Lingwei Chen
2026	J	`jnl`	When fixes teach: Repair-aware contrastive learning for optimization-resilient binary vulnerability detection. J. Syst. Archit. Zhenzhou Tian, Jiale Zhao, Ming Fan, Jiaze Sun, Yanping Chen, Lingwei Chen
2026	J	`jnl`	Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language Models. CoRR Hoang-Chau Luong, Lingwei Chen
2025	A*	`conf`	2-in-1 Phishing Detection via Large LM Distillation and Small LM Perturbation (Student Abstract). AAAI Calvin Greenewald, Bradley Ashmore, Chien-Sing Poon, Lingwei Chen
2025	J	`jnl`	Accounting for temporal and spatial autocorrelation to examine the effects of climate change on vegetation greenness trend in China. Int. J. Appl. Earth Obs. Geoinformation Lingwei Chen, Likai Zhu, Cuiyutong Yang, Zizhen Dong, Rui Huang, Jijun Meng, Min Liu
2025	A*	`conf`	AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks. AAAI Shifu Hou, Rick Johnson, Ramandeep Makhija, Lingwei Chen, Yanfang Ye
2025	J	`jnl`	HardVD: High-capacity cross-modal adversarial reprogramming for data-efficient vulnerability detection. Inf. Sci. Zhenzhou Tian, Haojiang Li, Hanlin Sun, Yanping Chen, Lingwei Chen
2025	B	`conf`	ReLAD: Retrieval-Augmented LAtent Diffusion for Complex Aerial Image Generation. IEEE Big Data Douglas J. Townsell, Lingwei Chen, Mimi Xie, Chen Pan, Wen Zhang
2025	J	`jnl`	STARS: Semantics-Aware Text-guided Aerial Image Refinement and Synthesis. Comput. Vis. Image Underst. Douglas J. Townsell, Lingwei Chen, Mimi Xie, Chen Pan, Wen Zhang
2025	J	`jnl`	SolBERT: Advancing solidity smart contract similarity analysis via self-supervised pre-training and contrastive fine-tuning. Inf. Softw. Technol. Zhenzhou Tian, Yudong Teng, Xianqun Ke, Yanping Chen, Lingwei Chen
2025	J	`jnl`	Technological affordances and applications of chatbots for conversational skill interventions in autism: A scoping review. Educ. Inf. Technol. Peidi Gu, Fang Xu, Lingwei Chen, Zijie Ma, Madian Zhang, Yi Zhang
2025	J	`jnl`	Towards Robust and Accurate Stability Estimation of Local Surrogate Models in Text-based Explainable AI. CoRR Christopher Burger, Charles Walter, Thai Le, Lingwei Chen
2025	J	`jnl`	Towards cost-efficient vulnerability detection with cross-modal adversarial reprogramming. J. Syst. Softw. Zhenzhou Tian, Rui Qiu, Yudong Teng, Jiaze Sun, Yanping Chen, Lingwei Chen
2025	A*	`conf`	xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion. ICDM Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen
2025	J	`jnl`	xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion. CoRR Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen
2024	J	`jnl`	A coherence-improved and mass-balanced inflow turbulence generation method for large eddy simulation. J. Comput. Phys. Lingwei Chen, Chao Li, Jinghan Wang, Gang Hu, Yiqing Xiao
2024	—	`conf`	Advancing Chest X-ray Diagnostics via Multi-Modal Neural Networks with Attention. EMBC Douglas J. Townsell, Tanvi Banerjee, Lingwei Chen, Michael L. Raymer
2024	J	`jnl`	Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy. ACM Trans. Knowl. Discov. Data Xiaoting Li, Lingwei Chen, Dinghao Wu
2024	J	`jnl`	An empirical study on divergence of differently-sourced LLVM IRs. J. Comput. Lang. Zhenzhou Tian, Yuchen Gong, Chenhao Chang, Jiaze Sun, Yanping Chen, Lingwei Chen
2024	C	`conf`	Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation. ACML Shixiong Jing, Lingwei Chen, Dinghao Wu
2024	B	`conf`	DOS-GNN: Dual-Feature Aggregations with Over-Sampling for Class-Imbalanced Fraud Detection On Graphs. IJCNN Shixiong Jing, Lingwei Chen, Quan Li, Dinghao Wu
2024	J	`jnl`	Differential testing solidity compiler through deep contract manipulation and mutation. Softw. Qual. J. Zhenzhou Tian, Fanfan Wang, Yanping Chen, Lingwei Chen
2024	J	`jnl`	Enhancing Data-Limited Graph Neural Networks by Actively Distilling Knowledge from Large Language Models. CoRR Quan Li, Tianxiang Zhao, Lingwei Chen, Junjie Xu, Suhang Wang
2024	B	`conf`	Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models. IEEE Big Data Quan Li, Tianxiang Zhao, Lingwei Chen, Junjie Xu, Suhang Wang
2024	J	`jnl`	Enhancing vulnerability detection via AST decomposition and neural sub-tree encoding. Expert Syst. Appl. Zhenzhou Tian, Binhui Tian, Jiajun Lv, Yanping Chen, Lingwei Chen
2024	J	`jnl`	Function-Level Code Obfuscation Detection Through Self-Attention-Guided Multi-Representation Fusion. Int. J. Softw. Eng. Knowl. Eng. Zhenzhou Tian, Ruikang He, Hongliang Zhao, Lingwei Chen
2024	—	`conf`	H DASFAA (6) Shixiong Jing, Lingwei Chen, Quan Li, Dinghao Wu
2024	J	`jnl`	Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inference. CoRR Quan Li, Shixiong Jing, Lingwei Chen
2024	—	`conf`	HyperCell: Advancing Cell Type Classification with Hyperdimensional Computing. EMBC Hossein Mohammadi, Maziyar Baran Pouyan, Krishnaprasad Thirunarayan, Lingwei Chen
2024	—	`conf`	Leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs. DASFAA (6) Bradley Ashmore, Lingwei Chen
2023	A*	`conf`	"Are Your Explanations Reliable?" Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack. EMNLP Christopher Burger, Lingwei Chen, Thai Le
2023	J	`jnl`	Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy. CoRR Xiaoting Li, Lingwei Chen, Dinghao Wu
2023	J	`jnl`	Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Textual Classification Models via Adversarial Perturbation. CoRR Christopher Burger, Lingwei Chen, Thai Le
2023	—	`conf`	Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features. UbiSec Daniel Chong, Junjie Zhang, Nathaniel Boland, Lingwei Chen
2023	J	`jnl`	CVII: Enhancing Interpretability in Intelligent Sensor Systems via Computer Vision Interpretability Index. Sensors Hossein Mohammadi, Krishnaprasad Thirunarayan, Lingwei Chen
2023	B	`conf`	Code Execution Capability as a Metric for Machine Learning-Assisted Software Vulnerability Detection Models. TrustCom Daniel Grahn, Lingwei Chen, Junjie Zhang
2023	—	`conf`	Enhancing Rare Cell Type Identification in Single-Cell Data: An Innovative Gene Filtering Approach using Bipartite Cell-Gene Relation Graph. BHI Maziyar Baran Pouyan, Hossein Mohammadi, Hojjat Torabi Goudarzi, Krishnaprasad Thirunarayan, Lingwei Chen
2023	A	`conf`	HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs. CIKM Bradley Ashmore, Lingwei Chen
2023	—	`conf`	Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge. PAKDD (3) Quan Li, Lingwei Chen, Yong Cai, Dinghao Wu
2023	—	`conf`	Knowledge Distillation on Cross-Modal Adversarial Reprogramming for Data-Limited Attribute Inference. WWW (Companion Volume) Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu
2023	—	`conf`	Leveraging Comment Retrieval for Code Summarization. ECIR (2) Shifu Hou, Lingwei Chen, Mingxuan Ju, Yanfang Ye
2023	—	`conf`	Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. ICDH Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita
2023	J	`jnl`	Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. CoRR Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita
2023	A*	`conf`	Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification. ICDM Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu
2022	A*	`conf`	ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing. AAAI Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu
2022	A	`conf`	Adversarially Reprogramming Pretrained Neural Networks for Data-limited and Cost-efficient Malware Detection. SDM Lingwei Chen, Xiaoting Li, Dinghao Wu
2022	C	`conf`	Adversary for Social Good: Leveraging Attribute-Obfuscating Attack to Protect User Privacy on Social Networks. SecureComm Xiaoting Li, Lingwei Chen, Dinghao Wu
2022	A*	`conf`	Distilling Knowledge on Text Graph for Social Media Attribute Inference. SIGIR Quan Li, Xiaoting Li, Lingwei Chen, Dinghao Wu
2022	C	`conf`	Ethereum Smart Contract Representation Learning for Robust Bytecode-Level Similarity Detection. SEKE Zhenzhou Tian, Yaqian Huang, Jie Tian, Zhongmin Wang, Yanping Chen, Lingwei Chen
2022	C	`conf`	FuzzBoost: Reinforcement Compiler Fuzzing. ICICS Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu
2022	J	`jnl`	Landscape estimation of solidity version usage on Ethereum via version identification. Int. J. Intell. Syst. Zhenzhou Tian, Jie Tian, Zhongmin Wang, Yanping Chen, Hong Xia, Lingwei Chen
2022	B	`conf`	Summarizing Source Code from Structure and Context. IJCNN Shifu Hou, Lingwei Chen, Yanfang Ye
2021	A	`conf`	Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. CIKM Lingwei Chen, Yujie Fan, Yanfang Ye
2021	B	`conf`	Compare Network with Task-dependent Embeddings for Few-shot Learning. IJCNN Lingwei Chen, Ronghua Luo, Defu Zhang
2021	J	`jnl`	Fine-Grained Compiler Identification With Sequence-Oriented Neural Modeling. IEEE Access Zhenzhou Tian, Yaqian Huang, Borun Xie, Yanping Chen, Lingwei Chen, Dinghao Wu
2021	J	`jnl`	Pyramid Co-Attention Compare Network for Few-Shot Segmentation. IEEE Access Defu Zhang, Ronghua Luo, Xuebin Chen, Lingwei Chen
2021	A	`conf`	Turning Attacks into Protection: Social Media Privacy Protection Using Adversarial Attacks. SDM Xiaoting Li, Lingwei Chen, Dinghao Wu
2021	B	`conf`	Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks. IJCNN Xiaoting Li, Lingwei Chen, Jinquan Zhang, James R. Larus, Dinghao Wu
2020	—	`conf`	Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections. ECML/PKDD (3) Lingwei Chen, Xiaoting Li, Dinghao Wu
2020	J	`jnl`	Plagiarism Detection of Multi-Threaded Programs via Siamese Neural Networks. IEEE Access Zhenzhou Tian, Qing Wang, Cong Gao, Lingwei Chen, Dinghao Wu
2020	J	`jnl`	Plagiarism Detection of Multi-threaded Programs Using Frequent Behavioral Pattern Mining. Int. J. Softw. Eng. Knowl. Eng. Zhenzhou Tian, Qing Wang, Cong Gao, Lingwei Chen, Dinghao Wu
2020	C	`conf`	Plagiarism Detection of Multi-threaded Programs using Frequent Behavioral Pattern Mining. SEKE Qing Wang, Zhenzhou Tian, Cong Gao, Lingwei Chen
2020	C	`conf`	Towards Fine-Grained Compiler Identification with Neural Modeling. SEKE Borun Xie, Zhenzhou Tian, Cong Gao, Lingwei Chen
2019	J	`jnl`	Higher-order Weighted Graph Convolutional Networks. CoRR Songtao Liu, Lingwei Chen, Hanze Dong, Zihao Wang, Dinghao Wu, Zengfeng Huang
2019	A*	`conf`	Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection. IJCAI Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao
2019	A*	`conf`	iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. IJCAI Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu
2019	B	`conf`	iTrustSO: an intelligent system for automatic detection of insecure code snippets in stack overflow. ASONAM Lingwei Chen, Shifu Hou, Yanfang Ye, Thirimachos Bourlai, Shouhuai Xu, Liang Zhao
2018	J	`jnl`	AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection. CoRR Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao
2018	J	`jnl`	DeepAM: a heterogeneous deep learning framework for intelligent malware detection. Knowl. Inf. Syst. Yanfang Ye, Lingwei Chen, Shifu Hou, William Hardy, Xin Li
2018	B	`conf`	DroidEye: Fortifying Security of Learning-Based Classifier Against Adversarial Android Malware Attacks. ASONAM Lingwei Chen, Shifu Hou, Yanfang Ye, Shouhuai Xu
2018	A	`conf`	ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network. ACSAC Yanfang Ye, Shifu Hou, Lingwei Chen, Xin Li, Liang Zhao, Shouhuai Xu, Jiabin Wang, Qi Xiong
2017	—	`conf`	Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense. EISIC Lingwei Chen, Yanfang Ye, Thirimachos Bourlai
2017	—	`conf`	An Adversarial Machine Learning Model Against Android Malware Evasion Attacks. APWeb/WAIM Workshops Lingwei Chen, Shifu Hou, Yanfang Ye, Lifei Chen
2017	—	`conf`	Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection. APWeb/WAIM Workshops Shifu Hou, Lingwei Chen, Yanfang Ye, Lifei Chen
2017	B	`conf`	Deep Neural Networks for Automatic Android Malware Detection. ASONAM Shifu Hou, Aaron Saas, Lingwei Chen, Yanfang Ye, Thirimachos Bourlai
2017	—	`conf`	SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks. Australasian Conference on Artificial Intelligence Lingwei Chen, Yanfang Ye
2017	A	`conf`	SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks. ACSAC Lingwei Chen, Shifu Hou, Yanfang Ye
2016	—	`conf`	Automatic Detection of Helmet Uses for Construction Safety. WI Workshops Abu Hasnat Mohammad Rubaiyat, Tanjin Taher Toma, Masoumeh Kalantari Khandani, Syed Ashiqur Rahman, Lingwei Chen, Yanfang Ye, Christopher S. Pan
2015	—	`conf`	Analyzing File-to-File Relation Network in Malware Detection. WISE (1) Lingwei Chen, William Hardy, Yanfang Ye, Tao Li
2015	—	`conf`	Intelligent malware detection based on file relation graphs. ICSC Lingwei Chen, Tao Li, Melih Abdulhayoglu, Yanfang Ye
2008	—	`conf`	Blind Image Restoration Using Divisional Regularization and Wavelet Technique. ICNC (5) Lingwei Chen, Xinyu Chen, Ping Guo