| 2026 | ACL | Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety. | Can Jin, Rui Wu, Tong Che, Qixin Zhang, Hongwu Peng, Jiahui Zhao, Zhenting Wang, Wenqi Wei, Ligong Han, Zhao Zhang, Yuan Cao, Ruixiang Tang, Dimitris N. Metaxas |
| 2025 | ESORICS | On the Adversarial Robustness of Graph Neural Networks with Graph Reduction. | Kerui Wu, Ka-Ho Chow, Wenqi Wei, Lei Yu |
| 2025 | ICASSP | Unlocking Financial Statement Fraud Detection: Tracking Disclosure Changes via Representation Learning. | Yue Yu, Zhen Wu, Yanni Han, Zhuoqun Li, Wenqi Wei |
| 2025 | ICIS | Software Generation With LLMs: Privacy, Utility, and Cybersecurity Tensions. | Wenqi Wei, Xiang Li, Hseyin Tanriverdi |
| 2025 | SACMAT | MUBox: A Critical Evaluation Framework of Deep Machine Unlearning [Systematization of Knowledge Paper]. | Xiang Li, Wenqi Wei, Bhavani Thuraisingham |
| 2024 | ICDCS | Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. | Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei |
| 2024 | IJCAI | Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. | Ka-Ho Chow, Wenqi Wei, Lei Yu |
| 2024 | QCE | Scalable Circuit Cutting and Scheduling in a Resource-Constrained and Distributed Quantum System. | Shuwen Kan, Zefan Du, Miguel Palma, Samuel A. Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao |
| 2024 | WWW | ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. | Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu |
| 2024 | WACV | Adaptive Deep Neural Network Inference Optimization with EENet. | Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu |
| 2023 | CVPR | STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. | Ka-Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu |
| 2023 | ICDM | Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. | Yanzhao Wu, Ka-Ho Chow, Wenqi Wei, Ling Liu |
| 2023 | ICDM | Model Cloaking against Gradient Leakage. | Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu |
| 2022 | DSAA | Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition. | Chendong Zhao, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Haoqian Wang, Jing Xiao |
| 2021 | CVPR | Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. | Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka-Ho Chow, Wenqi Wei |
| 2021 | ICDCS | Gradient-Leakage Resilient Federated Learning. | Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar |
| 2021 | IJCNN | When Hearing the Voice, Who Will Come to Your Mind. | Zhenhou Hong, Jianzong Wang, Wenqi Wei, Jie Liu, Xiaoyang Qu, Bo Chen, Zihang Wei, Jing Xiao |
| 2021 | IJCNN | CACnet: Cube Attentional CNN for Automatic Speech Recognition. | Nan Zhang, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Ning Cheng, Jing Xiao |
| 2021 | Interspeech | Speech2Video: Cross-Modal Distillation for Speech to Video Generation. | Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao |
| 2020 | APWEB | Epidemic Guard: A COVID-19 Detection System for Elderly People. | Wenqi Wei, Jianzong Wang, Ning Cheng, Yuanxu Chen, Bao Zhou, Jing Xiao |
| 2020 | ESORICS | Understanding Object Detection Through an Adversarial Lens. | Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu |
| 2020 | ESORICS | A Framework for Evaluating Client Privacy Leakages in Federated Learning. | Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu |
| 2020 | EuroSys | LDP-Fed: federated learning with local differential privacy. | Stacey Truex, Ling Liu, Ka-Ho Chow, Mehmet Emre Gursoy, Wenqi Wei |
| 2020 | Interspeech | A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection. | Wenqi Wei, Jianzong Wang, Jiteng Ma, Ning Cheng, Jing Xiao |
| 2019 | MASS | Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. | Ling Liu, Wenqi Wei, Ka-Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu |
| 2018 | CCS | Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces. | Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei |
| 2018 | ICDCS | Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. | Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang |