Privacy-Preserving Split Learning via Patch Shuffling over Transformers. - Dixi Yao; Liyao Xiang; Hengyuan Xu; Hangyu Ye; Yingqi Chen (ICDM, 2022)

Shuffled Transformer for Privacy-Preserving Split Learning. - Hengyuan Xu; Liyao Xiang; Hangyu Ye; Dixi Yao; Pengzhi Chu; Baochun Li (CoRR, 2023)

Permutation Equivariance of Transformers and its Applications. - Hengyuan Xu; Liyao Xiang; Hangyu Ye; Dixi Yao; Pengzhi Chu; Baochun Li (CVPR, 2024)

FedFQ: Federated Learning with Fine-Grained Quantization. - Haowei Li; Weiying Xie; Hangyu Ye; Jitao Ma; Shuran Ma; Yunsong Li 001 (CoRR, 2024)

MiniTracker: Large-Scale Sensitive Information Tracking in Mini Apps. - Wei Li 254; Borui Yang; Hangyu Ye; Liyao Xiang; Qingxiao Tao; Xinbing Wang; Chenghu Zhou (IEEE Trans. Dependable Secur. Comput., 2024)

Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection. - Jitao Ma; Weiying Xie; Hangyu Ye; Daixun Li; Leyuan Fang (AAAI, 2025)

AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent. - Hangyu Ye; Weiying Xie; Yunsong Li 001; Leyuan Fang (AAAI, 2025)

FedCS: Coreset Selection for Federated Learning. - Chenhe Hao; Weiying Xie; Daixun Li; Haonan Qin; Hangyu Ye; Leyuan Fang; Yunsong Li 001 (CVPR, 2025)

RS-IML: Federated Intrinsic Mask Learning on Remote Sensing Image Interpretation. - Hangyu Ye; Weiying Xie; Xin Zhang 092; Yibing Lu; Yunsong Li 001; Leyuan Fang (IEEE Trans. Geosci. Remote. Sens., 2025)