| 2026 | KSEM | Dynamic Elastic Weight Consolidation for Continual Learning in Spiking Neural Networks. | Junxiu Liu, Puyang Li, Qiang Fu, Yuling Luo, Sheng Qin, Xue Ouyang |
| 2026 | KSEM | Deep Learning Networks Based on Fusion Model for EEG-fNIRS Multimodal Learning Confusion in Online Class. | Junxiu Liu, Jin Zeng, Xue Ouyang, Qiang Fu, Sheng Qin, Yuling Luo |
| 2026 | SACMAT | An Adaptive Image Reversible Data Hiding Scheme based on Differential Evolution. | Yuling Luo, Yeqing Xiong, Qiang Fu, Junxiu Liu, Sheng Qin, Xue Ouyang |
| 2025 | ICICS | Privacy-Preserving Framework for k-Modes Clustering Based on Personalized Local Differential Privacy. | Yuling Luo, Zhangrui Wang, Xue Ouyang, Siyuan Zu, Qiang Fu, Sheng Qin, Junxiu Liu |
| 2025 | TrustCom | Compacting Side-Channel Measurements With Peak-Anchor-Based Alignment. | Yuling Luo, Minjiao Pei, Shunsheng Zhang, Xue Ouyang, Qiang Fu, Sheng Qin, Junxiu Liu |
| 2024 | HPCC | FAdagrad: Adaptive federated learning with differential privacy. | Yuling Luo, Ziyan Pan, Qiang Fu, Sheng Qin |
| 2024 | IJCNN | A watermark-based framework to actively protect deep neural networks. | Yuling Luo, Yuanze Li, Shunsheng Zhang, Junxiu Liu, Sheng Qin |
| 2023 | HPCC | Alzheimer's Disease Detection Model Based on Multimodal Data Early Fusion of Medical Neuroimaging. | Shangxiao Wu, Sheng Qin, Kaiyang Wang, Su Yang, Shiqi Zhang |
| 2023 | ICONIP | Encrypted-SNN: A Privacy-Preserving Method for Converting Artificial Neural Networks to Spiking Neural Networks. | Xiwen Luo, Qiang Fu, Sheng Qin, Kaiyang Wang |
| 2021 | HPCC | A Highly Efficient Profiled Power Analysis Attack Based on Power Leakage Fitting. | Yuanzhi Li, Shanshan Xu, Yuling Luo, Sheng Qin, Shunsheng Zhang, Min Su |
| 2020 | MICCAI | CMS-UNet: Cardiac Multi-task Segmentation in MRI with a U-Shaped Network. | Weisheng Li, Linhong Wang, Sheng Qin |