Using Formal Concept Analysis to Identify Negative Correlations in Gene Expression Data. - Xudong Tu; Yuanliang Wang; Maolan Zhang; Jinchuan Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

TrustGAT: Sparse Trust Data Mining with Graph Attention for Mobile Social Networks. - Maolan Zhang; Di Xiao 001 (MDM, 2023)

Privacy-Enhanced Efficient Image Reconstruction: When Compressed Sensing Meets Meta-Learning. - Di Xiao 001; Lian Wang; Maolan Zhang (MSN, 2024)

CFMVOR: Federated Multi-view 3D Object Recognition Based on Compressed Learning. - Di Xiao 001; Meng Zhang; Maolan Zhang; Lvjun Chen (PRCV (13), 2024)

Data Privacy-Preserving and Communication Efficient Federated Multilinear Compressed Learning. - Di Xiao 001; Zhuyan Yang; Maolan Zhang; Lvjun Chen (TrustCom, 2024)

Privacy-Preserving Multi-Soft Biometrics through Generative Adversarial Networks with Chaotic Encryption. - Hongying Zheng; Hongdie Li; Di Xiao 001; Maolan Zhang (TrustCom, 2024)

Secure and efficient federated learning via novel multi-party computation and compressed sensing. - Lvjun Chen; Di Xiao 001; Zhuyang Yu; Maolan Zhang (Inf. Sci., 2024)

Manipulable, reversible and diversified de-identification via face identity disentanglement. - Di Xiao 001; Jingdong Xia; Min Li 021; Maolan Zhang (Multim. Tools Appl., 2024)

Federated Cross-Client Collaborative Filtering with Tensor Compressive Learning. - Maolan Zhang; Di Xiao 001; Lvjun Chen; Jindong Xia; Zhuyan Yang (ICASSP, 2025)

Communication-privacy-accuracy trade-offs in federated learning for non-IID data with shuffle model. - Di Xiao 001; Xinchun Fan; Lvjun Chen; Min Li 021; Maolan Zhang (Knowl. Based Syst., 2025)

Compressive Sensing-Based HDR-Like Image Encryption and Artifact-Mitigated Reconstruction. - Maolan Zhang; Di Xiao 001; Hui Huang 008; Yu Ren; Xinchun Fan (Circuits Syst. Signal Process., 2025)