| 2026 | AAAI | MOBA: A Material-Oriented Backdoor Attack Against LiDAR-Based 3D Object Detection Systems. | Saket Sanjeev Chaturvedi, Gaurav Bagwe, Lan Emily Zhang, Pan He, Xiaoyong Yuan |
| 2026 | WACV | Marshaled Learning: Bridging Large Neural Networks with Memory-Constrained Trusted Execution Environments in Federated Learning. | Shiwei Ding, Xiaoyong Yuan, Zhenlin Wang, Lan Emily Zhang, Giuseppe Ateniese |
| 2025 | EMNLP | Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks. | Gaurav Bagwe, Saket S. Chaturvedi, Xiaolong Ma, Xiaoyong Yuan, Kuang-Ching Wang, Lan Zhang |
| 2025 | EMNLP | AIP: Subverting Retrieval-Augmented Generation via Adversarial Instructional Prompt. | Saket S. Chaturvedi, Gaurav Bagwe, Lan Zhang, Xiaoyong Yuan |
| 2025 | IJCNN | You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models. | Shiwei Ding, Lan Zhang, Zhenlin Wang, Giuseppe Ateniese, Xiaoyong Yuan |
| 2024 | IJCAI | BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. | Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan |
| 2024 | WACV | PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks. | Shiwei Ding, Lan Zhang, Miao Pan, Xiaoyong Yuan |
| 2023 | GLOBECOM | Prompt-Based Transceiver Cooperation for Semantic Communications with Domain-Incremental Background Knowledge. | Lan Zhang, Madhureeta Das, Yao Sun, Dusit Niyato, Xiaoyong Yuan |
| 2023 | ICDCS | Distributed Pruning Towards Tiny Neural Networks in Federated Learning. | Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu |
| 2023 | ICMLA | Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. | Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan, Lan Zhang |
| 2022 | GLOBECOM | Shapley Explainer - An Interpretation Method for GNNs Used in SDN. | Chuanhuang Li, Jiali Lou, Shiyuan Liu, Zebin Chen, Xiaoyong Yuan |
| 2022 | ICDCS | FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models. | Lan Zhang, Dapeng Wu, Xiaoyong Yuan |
| 2022 | ICPR | Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection. | Saket S. Chaturvedi, Lan Zhang, Xiaoyong Yuan |
| 2021 | SecureComm | Towards Stealing Deep Neural Networks on Mobile Devices. | Shashank Reddy Danda, Xiaoyong Yuan, Bo Chen |
| 2020 | INFOCOM | Adaptive Adversarial Attack on Scene Text Recognition. | Xiaoyong Yuan, Pan He, Xiaolin Li, Dapeng Wu |
| 2020 | SecureComm | Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-supervised Neural Networks. | Xiaoyong Yuan, Lei Ding, Malek Ben Salem, Xiaolin Li, Dapeng Wu |
| 2019 | AAAI | Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. | Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li |
| 2017 | DASC | Intelligent Perioperative System: Towards Real-Time Big Data Analytics in Surgery Risk Assessment. | Zheng Feng, Rajendra Rana Bhat, Xiaoyong Yuan, Daniel Freeman, Tezcan Baslanti, Azra Bihorac, Xiaolin Li |
| 2017 | SmartComp | PhD Forum: Deep Learning-Based Real-Time Malware Detection with Multi-Stage Analysis. | Xiaoyong Yuan |
| 2017 | SmartComp | DeepDefense: Identifying DDoS Attack via Deep Learning. | Xiaoyong Yuan, Chuanhuang Li, Xiaolin Li |
| 2016 | BigData | DeepSky: Identifying Absorption Bumps via Deep Learning. | Xiaoyong Yuan, Min Li, Sudeep Gaddam, Xiaolin Li, Yinan Zhao, Jingzhe Ma, Jian Ge |
| 2015 | COMPSAC | An Analysis on Availability Commitment and Penalty in Cloud SLA. | Xiaoyong Yuan, Ying Li, Tong Jia, Tiancheng Liu, Zhonghai Wu |
| 2014 | CloudCom | Dependability Analysis on Open Stack IaaS Cloud: Bug Anaysis and Fault Injection. | Xiaoyong Yuan, Ying Li, Zhonghai Wu, Tiancheng Liu |
| 2014 | NPC | Scheduling Cloud Platform Managed Live-Migration Operations to Minimize the Makespan. | Xiaoyong Yuan, Ying Li, Yanqi Wang, Kewei Sun |