| 2026 | AAAI | Modulation-Based Backdoors: Leveraging Amplitude and Frequency Patterns to Attack Speaker Recognition. | Hanbo Cai, Pengcheng Zhang, Yan Xiao, De Li, Hanting Chu, Ying Luo |
| 2026 | AAAI | Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels. | Qiyu Li, Xianxian Li, De Li, Jinyan Wang |
| 2026 | AAAI | DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew. | Zhou Tan, De Li, Yirui Huang, Duanshu Fang, Jia-Li Yin, Xiaolei Liu, Songze Li, Shouling Ji |
| 2025 | CGI | Remote Sensing Cross-Domain Semantic Segmentation for Unknown Class Detection in Real-World Scenarios. | Ke Liu, De Li, Jin-Chun Piao |
| 2025 | ICONIP | PFMF-Net: Progressive Feedback Network with Multi-feature for Image Tampering Localization. | Shihao Lu, De Li, Xun Jin, Xian Yang |
| 2024 | ISPA | RLGNN: Robust Graph Neural Networks with Noisy Label Learning. | Haodong Qian, De Li, Qiyu Li, Jinyan Wang |
| 2023 | ICANN | GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection. | Yangyou Ning, Jinyan Wang, De Li, Dongqi Yan, Xianxian Li |
| 2023 | ICPADS | Relaxed Graph Semi-Supervised Contrastive Learning for Node Classification. | Qiyu Li, Xianxian Li, Haodong Qian, De Li, Jinyan Wang |
| 2023 | ICTAI | Node Classification in Graph Neural Networks under Dual Consistency. | Qiyu Li, Xianxian Li, De Li, Jinyan Wang |
| 2023 | TrustCom | Robustness and Privacy for Green Learning under Noisy Labels. | De Li, Tiange Xia, Qiyu Li, Xianxian Li, Jinyan Wang |
| 2022 | TrustCom | A Green Neural Network with Privacy Preservation and Interpretability. | De Li, Hongyan Zheng, Zeming Gan, Xianxian Li, Jinyan Wang |
| 2021 | TrustCom | Adaptive Clipping Bound of Deep Learning with Differential Privacy. | Yuhang Hu, De Li, Zhou Tan, Xianxian Li, Jinyan Wang |
| 2021 | TrustCom | Differential Privacy Preservation in Adaptive K-Nets Clustering. | Xiaohong Liu, Hanbo Cai, De Li, Xianxian Li, Jinyan Wang |
| 2020 | CIS | SLFB-CNN: An interpretable neural network privacy protection framework. | De Li, Yuhang Hu, Jinyan Wang |
| 2020 | TrustCom | Differential Privacy Preservation in Interpretable Feedforward-Designed Convolutional Neural Networks. | De Li, Jinyan Wang, Zhou Tan, Xianxian Li, Yuhang Hu |
| 2018 | PDCAT | Research on Image Content Authentication Algorithm of Semi-fragile Watermarking for Adaptive Embedding Based on Characteristic of Image. | Shan Yang, Liang Chen, De Li |
| 2018 | PDCAT | Flash Animation Watermarking Algorithm Based on SWF Tag Attributes. | YiAn Zuo, ZhiXun Zheng, De Li |