Xianxian Li

发表

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

Qingyun Sun, Hao Peng, Jinyan Wang, 2022, 2210.00538.

Differential Privacy Preservation in Adaptive K-Nets Clustering

Jinyan Wang, Xianxian Li, Xiaohong Liu, 2021, 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).

Efficient and traceable data sharing for the Internet of Things in smart cities

Peng Liu, Wangjie Qiu, Chunpei Li, 2022, Comput. Electr. Eng..

Backdoor Attacks against Deep Neural Networks by Personalized Audio Steganography

Peng Liu, Xianxian Li, Chuanjia Yao, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Differentially private ensemble learning for classification

Jing Liu, Xianxian Li, Jinyan Wang, 2021, Neurocomputing.

A two-phase random forest with differential privacy

Jinyan Wang, Xianxian Li, Quanmin Wei, 2022, Applied Intelligence.

One-step spectral rotation clustering for imbalanced high-dimensional data

Yonghua Zhu, Xianxian Li, Guoqiu Wen, 2021, Inf. Process. Manag..

Social Network Anonymization via Local-perturbing Approach

Peng Liu, Shan Lin, Xianxian Li, 2018 .

A Local-Perturbation Anonymizing Approach to Preserving Community Structure in Released Social Networks

Peng Liu, Shan Lin, Xianxian Li, 2016, QSHINE.

Local differential privacy for social network publishing

Peng Liu, Li-e Wang, Xianxian Li, 2020, Neurocomputing.

VMInsight: Hardware Virtualization-Based Process Security Monitoring System

Jianxin Li, Bo Li, Xianxian Li, 2011, 2011 International Conference on Network Computing and Information Security.

POI Recommendation with Federated Learning and Privacy Preserving in Cross Domain Recommendation

Xianxian Li, Li-e Wang, Peng Liu, 2021, IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

A Personalized Privacy Preserving Method for Publishing Social Network Data

Peng Liu, Xianxian Li, Jia Jiao, 2014, TAMC.

DP-AP: Differential Privacy-Preserving Affinity Propagation Clustering

Jinyan Wang, Xianxian Li, Xiaohong Liu, 2020, 2020 IEEE 14th International Conference on Big Data Science and Engineering (BigDataSE).

Groupchain: A Blockchain Model with Privacy-preservation and Supervision

Dongchen Li, Xianxian Li, Peng Liu, 2020 .

Robust Image Hashing With Ring Partition and Invariant Vector Distance

Shichao Zhang, Zhenjun Tang, Xianquan Zhang, 2016, IEEE Transactions on Information Forensics and Security.

Beh-Raft-Chain: A Behavior-Based Fast Blockchain Protocol for Complex Networks

Victor C. M. Leung, Xianxian Li, Wei Cai, 2020, IEEE Transactions on Network Science and Engineering.

Personalized Federated Learning with Semisupervised Distillation

Yuan Liang, Xianxian Li, Li-e Wang, 2021, Security and Communication Networks.

Injecting Differential Privacy in Rules Extraction of Rough Set

Peng Liu, Li-e Wang, Xianxian Li, 2018, Proceedings of the 2nd International Conference on Healthcare Science and Engineering.

Top-k closed co-occurrence patterns mining with differential privacy over multiple streams

Jiawen Qin, Chen Liu, Xianxian Li, 2020, Future Gener. Comput. Syst..

A Hybrid Algorithm for Privacy Preserving Social Network Publication

Peng Liu, Lei Cui, Xianxian Li, 2014, ADMA.

A Clustering-Based Bipartite Graph Privacy-Preserving Approach for Sharing High-Dimensional Data

Lie Wang, Xianxian Li, Xianxian Li, 2014, Int. J. Softw. Eng. Knowl. Eng..

FedMBC: Personalized federated learning via mutually beneficial collaboration

Xianxian Li, Li-e Wang, Y. Gong, 2023, Comput. Commun..

Differential Privacy Preservation in Interpretable Feedforward-Designed Convolutional Neural Networks

Jinyan Wang, Xianxian Li, De Li, 2020, 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).

DBS: Blockchain-Based Privacy-Preserving RBAC in IoT

Xianxian Li, Zhenkui Shi, Jie Li, 2021, QSHINE.

AIC-GNN: Adversarial information completion for graph neural networks

Jinyan Wang, Xingcheng Fu, Xianxian Li, 2023, Inf. Sci..

ESVSSE: Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption

Kai Zhu, Fu Xuemei, Shi Zhenkui, 2022, IEEE Transactions on Knowledge and Data Engineering.

GCBlock: A Grouping and Coding Based Storage Scheme for Blockchain System

Xianxian Li, Peng Liu, Zhenkui Shi, 2020, IEEE Access.

Heterogeneous graph neural network with semantic-aware differential privacy guarantees

Qingyun Sun, Hao Peng, Jinyan Wang, 2023, Knowledge and Information Systems.

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

Qingyun Sun, Hao Peng, Jinyan Wang, 2022, 2022 IEEE International Conference on Data Mining (ICDM).