Existence of random attractors for weakly dissipative plate equations with memory and additive white noise. - Xiaoying Shen; Qiaozhen Ma (Comput. Math. Appl., 2017)

Secure Remote Sensing Image Registration Based on Compressed Sensing in Cloud Setting. - Zhanqiang Liu; Licheng Wang; Xianmin Wang; Xiaoying Shen; Lixiang Li 001 (IEEE Access, 2019)

Cryptographic primitives in blockchains. - Licheng Wang; Xiaoying Shen; Jing Li 045; Jun Shao 001; Yixian Yang (J. Netw. Comput. Appl., 2019)

A Multivariate Public Key Encryption Scheme With Equality Test. - Xiaoying Shen; Licheng Wang; Huijun Zhu; Yuan Liu 013 (IEEE Access, 2020)

New Constructions of Identity-Based Dual Receiver Encryption from Lattices. - Yuan Liu 013; Licheng Wang; Xiaoying Shen; Lixiang Li 001 (Entropy, 2020)

Space-Efficient Key-Policy Attribute-Based Encryption from Lattices and Two-Dimensional Attributes. - Yuan Liu 013; Licheng Wang; Xiaoying Shen; Lixiang Li 001; Dezhi An (Secur. Commun. Networks, 2020)

Location privacy-preserving in online taxi-hailing services. - Xiaoying Shen; Licheng Wang; Qingqi Pei; Yuan Liu 013; Miaomiao Li 003 (Peer-to-Peer Netw. Appl., 2021)

Sentiment Analysis of Chinese Paintings Based on Lightweight Convolutional Neural Network. - Jianying Bian; Xiaoying Shen (Wirel. Commun. Mob. Comput., 2021)

A Violation Information Recognition Method of Live-Broadcasting Platform Based on Machine Learning Technology. - Xiaoying Shen; Chao Yuan (Wirel. Commun. Mob. Comput., 2021)

A College Student Behavior Analysis and Management Method Based on Machine Learning Technology. - Xiaoying Shen; Chao Yuan (Wirel. Commun. Mob. Comput., 2021)

Group public key encryption supporting equality test without bilinear pairings. - Xiaoying Shen; Baocang Wang; Licheng Wang; Pu Duan; Benyu Zhang (Inf. Sci., 2022)

PLDP-FL: Federated Learning with Personalized Local Differential Privacy. - Xiaoying Shen; Hang Jiang; Yange Chen; Baocang Wang; Le Gao (Entropy, 2023)

Communication-Efficient and Privacy-Preserving Verifiable Aggregation for Federated Learning. - Kaixin Peng; Xiaoying Shen; Le Gao; Baocang Wang; Yichao Lu (Entropy, 2023)

Privacy-preserving multi-party deep learning based on homomorphic proxy re-encryption. - Xiaoying Shen; Xue Luo; Feng Yuan; Baocang Wang; Yange Chen; Dianhua Tang; Le Gao (J. Syst. Archit., 2023)

A Privacy-Preserving Ride-Matching Scheme Without a Trusted Third-Party Server. - Xiaoying Shen; Zhen Wang; Baocang Wang; Licheng Wang; Qingqi Pei (IEEE Syst. J., 2023)

Verifiable Privacy-Preserving Federated Learning Under Multiple Encrypted Keys. - Xiaoying Shen; Xue Luo; Feng Yuan; Baocang Wang; Yange Chen; Dianhua Tang; Le Gao (IEEE Internet Things J., 2024)