| 2026 | ACL | Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language Models. | Hoang-Chau Luong, Lingwei Chen |
| 2025 | AAAI | 2-in-1 Phishing Detection via Large LM Distillation and Small LM Perturbation (Student Abstract). | Calvin Greenewald, Bradley Ashmore, Chien-Sing Poon, Lingwei Chen |
| 2025 | AAAI | AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks. | Shifu Hou, Rick Johnson, Ramandeep Makhija, Lingwei Chen, Yanfang Ye |
| 2025 | ICDM | xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion. | Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen |
| 2024 | ACML | Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation. | Shixiong Jing, Lingwei Chen, Dinghao Wu |
| 2024 | DASFAA | Leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs. | Bradley Ashmore, Lingwei Chen |
| 2024 | DASFAA | H | Shixiong Jing, Lingwei Chen, Quan Li, Dinghao Wu |
| 2024 | IJCNN | DOS-GNN: Dual-Feature Aggregations with Over-Sampling for Class-Imbalanced Fraud Detection On Graphs. | Shixiong Jing, Lingwei Chen, Quan Li, Dinghao Wu |
| 2023 | CIKM | HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs. | Bradley Ashmore, Lingwei Chen |
| 2023 | ECIR | Leveraging Comment Retrieval for Code Summarization. | Shifu Hou, Lingwei Chen, Mingxuan Ju, Yanfang Ye |
| 2023 | EMNLP | "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 |
| 2023 | ICDM | Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification. | Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu |
| 2023 | PAKDD | Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge. | Quan Li, Lingwei Chen, Yong Cai, Dinghao Wu |
| 2023 | WWW | Knowledge Distillation on Cross-Modal Adversarial Reprogramming for Data-Limited Attribute Inference. | Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu |
| 2023 | TrustCom | Code Execution Capability as a Metric for Machine Learning-Assisted Software Vulnerability Detection Models. | Daniel Grahn, Lingwei Chen, Junjie Zhang |
| 2022 | AAAI | ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing. | Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu |
| 2022 | ICICS | FuzzBoost: Reinforcement Compiler Fuzzing. | Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu |
| 2022 | IJCNN | Summarizing Source Code from Structure and Context. | Shifu Hou, Lingwei Chen, Yanfang Ye |
| 2022 | SIGIR | Distilling Knowledge on Text Graph for Social Media Attribute Inference. | Quan Li, Xiaoting Li, Lingwei Chen, Dinghao Wu |
| 2022 | SEKE | Ethereum Smart Contract Representation Learning for Robust Bytecode-Level Similarity Detection. | Zhenzhou Tian, Yaqian Huang, Jie Tian, Zhongmin Wang, Yanping Chen, Lingwei Chen |
| 2022 | SDM | Adversarially Reprogramming Pretrained Neural Networks for Data-limited and Cost-efficient Malware Detection. | Lingwei Chen, Xiaoting Li, Dinghao Wu |
| 2022 | SecureComm | Adversary for Social Good: Leveraging Attribute-Obfuscating Attack to Protect User Privacy on Social Networks. | Xiaoting Li, Lingwei Chen, Dinghao Wu |
| 2021 | CIKM | Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. | Lingwei Chen, Yujie Fan, Yanfang Ye |
| 2021 | IJCNN | Compare Network with Task-dependent Embeddings for Few-shot Learning. | Lingwei Chen, Ronghua Luo, Defu Zhang |
| 2021 | IJCNN | Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks. | Xiaoting Li, Lingwei Chen, Jinquan Zhang, James R. Larus, Dinghao Wu |
| 2021 | SDM | Turning Attacks into Protection: Social Media Privacy Protection Using Adversarial Attacks. | Xiaoting Li, Lingwei Chen, Dinghao Wu |
| 2020 | SEKE | Plagiarism Detection of Multi-threaded Programs using Frequent Behavioral Pattern Mining. | Qing Wang, Zhenzhou Tian, Cong Gao, Lingwei Chen |
| 2020 | SEKE | Towards Fine-Grained Compiler Identification with Neural Modeling. | Borun Xie, Zhenzhou Tian, Cong Gao, Lingwei Chen |
| 2019 | IJCAI | 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 |
| 2019 | IJCAI | 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 |
| 2018 | ACSAC | 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 |
| 2017 | ACSAC | SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks. | Lingwei Chen, Shifu Hou, Yanfang Ye |
| 2017 | APWEB | An Adversarial Machine Learning Model Against Android Malware Evasion Attacks. | Lingwei Chen, Shifu Hou, Yanfang Ye, Lifei Chen |
| 2017 | APWEB | Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection. | Shifu Hou, Lingwei Chen, Yanfang Ye, Lifei Chen |
| 2015 | WISE | Analyzing File-to-File Relation Network in Malware Detection. | Lingwei Chen, William Hardy, Yanfang Ye, Tao Li |
| 2008 | ICNC | Blind Image Restoration Using Divisional Regularization and Wavelet Technique. | Lingwei Chen, Xinyu Chen, Ping Guo |