Optimizing the BitTorrent performance using an adaptive peer selection strategy. - Kun Huang 003; Li-e Wang 001; Dafang Zhang 001; Yongwei Liu (Future Gener. Comput. Syst., 2008)

An Activeness-Based Seed Choking Algorithm for Enhancing BitTorrent's Robustness. - Kun Huang 003; Dafang Zhang 001; Li-e Wang 001 (GPC, 2009)

Personalized Privacy Protection for Transactional Data. - Li-e Wang 001; Xianxian Li (ADMA, 2014)

A Clustering-Based Bipartite Graph Privacy-Preserving Approach for Sharing High-Dimensional Data. - Li-e Wang 001; Xianxian Li (Int. J. Softw. Eng. Knowl. Eng., 2014)

A Hybrid Optimization Approach for Anonymizing Transactional Data. - Li-e Wang 001; Xianxian Li (ICA3PP (Workshops and Symposiums), 2015)

社会网络分析软件研究 (Study of Social Network Analysis Software). - Peng Liu 044; Xianxian Li; Li-e Wang 001 (计算机科学, 2015)

A Sensitivity-Adaptive ρ-Uncertainty Model for Set-Valued Data. - Liuhua Chen; Shenghai Zhong; Li-e Wang 001; Xianxian Li (Financial Cryptography, 2016)

Transparent Link: A Framework of Anonymizing MSA-Dataset Based on Probabilistic Graphical Model. - Li-e Wang 001; Yameng Guo; Xianxian Li (BigDataService, 2017)

Anonymizing approach to resist label-neighborhood attacks in dynamic releases of social networks. - Xiaoyi Hu; Li-e Wang 001; Jiaqi Tang 004; Cong Lei; Peng Liu 044; Xianxian Li (Healthcom, 2017)

Randomized Perturbation for Privacy-Preserving Social Network Data Publishing. - Peng Liu 044; Li-e Wang 001; Xianxian Li (ICBK, 2017)

Partial k-Anonymity for Privacy-Preserving Social Network Data Publishing. - Peng Liu 044; Yan Bai; Lie Wang 001; Xianxian Li (Int. J. Softw. Eng. Knowl. Eng., 2017)

移动商务推荐系统中的一种基于P2P的隐私保护策略 (P2P-based Privacy Protection Strategy in Mobile-commerce Recommender System). - Lie Wang 001; Yuanxin Xu; Xianxian Li; Peng Liu 044 (计算机科学, 2017)

A Hierarchical k-Anonymous Technique of Graphlet Structural Perception in Social Network Publishing. - Dongran Yu; Huaxing Zhao; Li-e Wang 001; Peng Liu 044; Xianxian Li (MSPN, 2018)

A graph-based multifold model for anonymizing data with attributes of multiple types. - Li-e Wang 001; Xianxian Li (Comput. Secur., 2018)

M-generalization for multipurpose transactional data publication. - Xianxian Li; Peipei Sui; Yan Bai; Li-E Wang 001 (Frontiers Comput. Sci., 2018)

Information Entropy Differential Privacy: A Differential Privacy Protection Data Method Based on Rough Set Theory. - Xianxian Li; Chunfeng Luo; Peng Liu 044; Li-e Wang 001 (DASC/PiCom/DataCom/CyberSciTech, 2019)

Secure Data Propagation in Edge-Cloud Orchestrated Computing Paradigms: Statistcs and Taxonomy. - Feng Yu 006; Xixian Li; Huimin Zhang; Li-e Wang 001 (CBD, 2020)

A Control Task Assignment Algorithm based on sub-graph isomorphism. - Feng Yu 006; Xixian Li; Huimin Zhang; Li-e Wang 001 (CBD, 2020)

Groupchain: A Blockchain Model with Privacy-preservation and Supervision. - Chunpei Li; Li-e Wang 001; Qingting Xu; Dongchen Li; Peng Liu 044; Xianxian Li (HP3C, 2020)

A Privacy Preserving Method for Publishing Set-valued Data and Its Correlative Social Network. - Li-e Wang 001; Shan Lin; Yan Bai; Sang-Yoon Chang; Xianxian Li; Peng Liu 044 (ICC, 2020)

GCBlock: A Grouping and Coding Based Storage Scheme for Blockchain System. - Bin Qu; Li-e Wang 001; Peng Liu 044; Zhenkui Shi; Xianxian Li (IEEE Access, 2020)

Local differential privacy for social network publishing. - Peng Liu 044; Yuanxin Xu; Quan Jiang; Yuwei Tang; Yameng Guo; Li-e Wang 001; Xianxian Li (Neurocomputing, 2020)

POI Recommendation with Federated Learning and Privacy Preserving in Cross Domain Recommendation. - Li-e Wang 001; Yihui Wang; Yan Bai; Peng Liu 044; Xianxian Li (INFOCOM Workshops, 2021)

Beh-Raft-Chain: A Behavior-Based Fast Blockchain Protocol for Complex Networks. - Li-e Wang 001; Yan Bai; Quan Jiang; Victor C. M. Leung; Wei Cai 002; Xianxian Li (IEEE Trans. Netw. Sci. Eng., 2021)

Next POI Recommendation with Neighbor and Location Popularity. - Xianxian Li; Tianran Liu; Li-e Wang 001; Zhigang Sun; Huachang Zeng (ICONIP (2), 2022)

Resource allocation for MEC system with multi-users resource competition based on deep reinforcement learning approach. - Bin Qu; Yan Bai; Yul Chu; Li-e Wang 001; Feng Yu 006; Xianxian Li (Comput. Networks, 2022)

Precise sensitivity recognizing, privacy preserving, knowledge graph-based method for trajectory data publication. - Xianxian Li; Bing Cai; Li-e Wang 001; Lei Lei (Frontiers Comput. Sci., 2022)

Secure and Trusted Copyright Protection for Educational Data on Redactable Blockchains. - Li-e Wang 001; Yi Wei; Peng Liu 044; Xianxian Li (ICPADS, 2023)

CRCC: Collaborative Relation Context Consistency on the Knowledge Graph for Recommender Systems (S). - Li-E Wang 001; Huachang Zeng; Shenghan Li; Xianxian Li; Shengda Zhuo; Jiahua Xie; Bin Qu; Zhigang Sun; Tianran Liu (SEKE, 2023)

A Data Middleware for Obtaining Trusted Price Data for Blockchain. - Youquan Xian; Xueying Zeng; Lianghaojie Zhou; Boyi Wang; Li-e Wang 001; Peng Liu 044 (CoRR, 2023)

FedMBC: Personalized federated learning via mutually beneficial collaboration. - Yanxia Gong; Xianxian Li; Li-e Wang 001 (Comput. Commun., 2023)

A multi-scale graph embedding method via multiple corpora. - Zhigang Sun; Li-e Wang 001; Jinyong Sun (Neurocomputing, 2023)

MuKGB-CRS: Guarantee privacy and authenticity of cross-domain recommendation via multi-feature knowledge graph integrated blockchain. - Li-e Wang 001; Yuelan Qi; Yan Bai; Zhigang Sun; Dongcheng Li 002; Xianxian Li (Inf. Sci., 2023)

FedISMH: Federated Learning Via Inference Similarity for Model Heterogeneous. - Yongdong Li; Li-e Wang 001; Zhigang Sun; Xianxian Li; Hengtong Chang; Jinke Xu; Caiyi Lin (IEEE Big Data, 2024)

Dual Contrastive Learning and Dual Bi-directional Transformer Encoders for Sequential Recommendations. - Li-e Wang 001; Hengtong Chang; Rongwen Wei; Xianxian Li; Zhigang Sun; Yongdong Li; Yi Wei; Linghui Meng (CSCWD, 2024)

Multi-perspective Information and Multi-task Contrastive Learning for Sequential Recommendations. - Li-e Wang 001; Rongwen Wei; Hengtong Chang; Xianxian Li; Zhigang Sun; Tianran Liu (CSCWD, 2024)

SpanMRC: Query with Entity Length for MRC-Based Named Entity Recognition. - Hao Wu; Xianxian Li; Peng Liu 044; Li-e Wang 001; Danping Yang; Aoxiang Zhou (ICIC (LNAI 4), 2024)

Higher-order Semantic-aware Adaptive Graph Contrastive Learning. - Xianxian Li; Jiayue Zeng; Zhigang Sun; Li-e Wang 001 (IJCNN, 2024)

Knowledge-Aware Dual-Channel Graph Neural Networks For Denoising Recommendation. - Hanwen Zhang; Li-e Wang 001; Zhigang Sun; Xianxian Li (Comput. J., 2024)

MKNBL: Joint multi-channel knowledge-aware network and broad learning for sparse knowledge graph-based recommendation. - Li-e Wang 001; Yuelan Qi; Zhigang Sun; Xianxian Li (Neurocomputing, 2024)

A Trustworthy and Consistent Blockchain Oracle Scheme for Industrial Internet of Things. - Peng Liu 044; Youquan Xian; Chuanjian Yao; Peng Wang; Li-e Wang 001; Xianxian Li (IEEE Trans. Netw. Serv. Manag., 2024)

CausalFD: causal invariance-based fraud detection against camouflaged preference. - Yudan Song; Yuecen Wei; Haonan Yuan; Qingyun Sun; Xingcheng Fu; Li-e Wang 001; Xianxian Li (Int. J. Mach. Learn. Cybern., 2024)

A Secure and Efficient Distributed Sharing Scheme with Attribute-Based Searchable Encryption. - Jinke Xu; Xianxian Li; Li-e Wang 001; Yongdong Li; Weidong Zhu (CSCWD, 2025)

An adaptive model for cross-domain code search. - Mengge Fang; Lie Wang 001; Haize Hu (Inf. Softw. Technol., 2025)

BAM_CRS: Blockchain-Based Anonymous Model for Cross-Domain Recommendation Systems. - Li-e Wang 001; Dong-Cheng Li 002; Peng Liu 044; Xianxian Li (J. Comput. Sci. Technol., 2025)