An Overview of CORBA-Based Load Balancing. - Jian Shu 002; Linlan Liu; Shaowen Song (GCC (2), 2003)

The Influence of Beacon on DV-hop in Wireless Sensor Networks. - Min Yin; Jian Shu 002; Linlan Liu; Hengfeng Zhang (GCC Workshops, 2006)

An Load Balancing Strategy of FTP Server-Cluster Based on JXTA. - Linlan Liu; Jian Shu 002; Binquan Chen; Shuangjian Liang (APSCC, 2008)

MRDWA: Multi-role Dynamic Weighting Aggregation Algorithm in Event Driven Wireless Sensor Networks. - Ying Chen; Jian Shu 002; Hong Liu; Linlan Liu; Jiajie Gong (IAS, 2009)

Cluster-based Three-dimensional Localization Algorithm for Large Scale Wireless Sensor Networks. - Jian Shu 002; Ronglei Zhang; Linlan Liu; Zhenhua Wu; Zhiping Zhou (J. Comput., 2009)

BR2OM: RSSI-based Refinement and Optimization Mechanism for Wireless Sensor Networks. - Jian Shu 002; Jiajie Gong; Yubin Chen; Linlan Liu (J. Networks, 2009)

A Link Quality Prediction Mechanism for WSNs Based on Time Series Model. - Linlan Liu; Youlei Fan; Jian Shu 002; Kun Yu (UIC/ATC Workshops, 2010)

Study on Aggregation Tree Construction Based on Grid. - Jian Shu 002; Yebin Chen; Linlan Liu; Sheng Zhang 011; Jun Li (J. Comput., 2010)

CCI-Based Link Quality Estimation Mechanism for Wireless Sensor Networks under Perceive Packet Loss. - Linlan Liu; Jun Li; Jian Shu 002; Zhenhua Wu; Yebin Chen (J. Softw., 2010)

An Improved Three-dimensional Localization Scheme based on APIT. - Linlan Liu; Haili Zhang; Jian Shu 002; Yubin Chen; Yebin Chen (J. Networks, 2012)

A Water Quality Monitoring Method Based on Fuzzy Comprehensive Evaluation in Wireless Sensor Networks. - Jian Shu 002; Ming Hong; Linlan Liu; Yebin Chen (J. Networks, 2012)

Link Quality Based Orthogonal Sniffing Movement Algorithm towards Mobile Sink. - Jian Shu 002; Xiaotian Geng; Gang Hu; Di Luo; Linlan Liu (CWSN, 2013)

Random Graph Model for Opportunistic Sensor Networks Based on Divided Area. - Jian Shu 002; Linxin Zeng; Linlan Liu (CWSN, 2013)

A connectivity monitoring model of opportunistic sensor network based on evolving graph. - Jian Shu 002; Shandong Jiang; Qun Liu; Linlan Liu; Xiaotian Geng (Comput. Sci. Inf. Syst., 2015)

Topology Prediction Mechanism for Pocket Switched Network Based on Deep Belief Network. - Jian Shu 002; Weijie Lin; Linlan Liu; Xuyan Luo (Trustcom/BigDataSE/ISPA, 2016)

Prediction Approach of Critical Node Based on Multiple Attribute Decision Making for Opportunistic Sensor Networks. - Qifan Chen; Linlan Liu; Zhiyong Yang 009; Kai Guo (J. Sensors, 2016)

A novel link quality prediction algorithm for wireless sensor networks. - Chenhao Jia; Linlan Liu; Xiaole Gu; Manlan Liu (Comput. Sci. Inf. Syst., 2017)

A link prediction approach based on deep learning for opportunistic sensor network. - Jian Shu 002; Qifan Chen; Linlan Liu; Lei Xu (Int. J. Distributed Sens. Networks, 2017)

An Improved Opportunistic Sensor Networks Connectivity Monitoring Model Based on Network Connectivity. - Jian Shu 002; Jiajun Xiong; Lei Xu; Xiaotian Geng; Linlan Liu (CWSN, 2018)

A Link Quality Prediction Method for Wireless Sensor Networks Based on XGBoost. - Yi Feng; Linlan Liu; Jian Shu 002 (IEEE Access, 2019)

Link Quality Estimation Method for Wireless Sensor Networks Based on Stacked Autoencoder. - Xionghui Luo; Linlan Liu; Jian Shu 002; Manar Al-Kali (IEEE Access, 2019)

A Novel Link Prediction Method for Opportunistic Networks Based on Random Walk and a Deep Belief Network. - Ziliang Liao; Linlan Liu; Yubin Chen (IEEE Access, 2020)

Identifying Influential Nodes in Opportunistic Networks by Network Embedding. - Zhenyang Tan; Linlan Liu; Jian Shu 002 (ICCT, 2021)

A Link Quality Estimation Method Based on Improved Weighted Extreme Learning Machine. - Linlan Liu; Hui Lv; Jiangbo Xu; Jian Shu 002 (IEEE Access, 2021)

Identifying key node in multi-region opportunistic sensor network based on improved TOPSIS. - Linlan Liu; Wei Wang; Guirong Jiang; Jiang Zhang (Comput. Sci. Inf. Syst., 2021)

Link quality estimation method based on convolutional ladder network. - Hui Lv; Jiebin Fan; Linlan Liu (CSAI, 2022)

Progresses in Link Prediction: A Survey. - Jiahao Li; Linlan Liu; Jian Shu 002 (ICCPR, 2022)

Link quality estimation based on over-sampling and weighted random forest. - Linlan Liu; Yi Feng; Shengrong Gao; Jian Shu 002 (Comput. Sci. Inf. Syst., 2022)

Node Importance Evaluation in Complex Networks Based on Community Division. - Yao Liang; Jian Shu 002; Linlan Liu (ICCAI, 2023)

Link Quality Prediction for Wireless Networks: Current Status and Future Directions. - Mingxiao Niu; Linlan Liu; Jian Shu 002 (ICIIT, 2023)

The node importance evaluation method based on graph convolution in multilayer heterogeneous networks. - Zhixing Chen; Jian Shu 002; Linlan Liu (Connect. Sci., 2023)

Wireless Link Quality Prediction Based on Temporal Convolutional Networks and Self-Attention Fusion. - Yao Wang; Linlan Liu (CNIOT, 2024)

Heterogeneous network link prediction based on network schema and cross-neighborhood attention. - Pengtao Wang; Jian Shu 002; Linlan Liu (J. King Saud Univ. Comput. Inf. Sci., 2024)

Key Nodes Evaluation Method Based on Combination Weighting VIKOR in Social Networks. - Jian Shu 002; Yao Liang; Wanli Ma; Linlan Liu (IEEE Trans. Comput. Soc. Syst., 2024)

Attributed network community detection based on graph contrastive learning and multi-objective evolutionary algorithm. - Yao Liang; Jian Shu 002; Linlan Liu (Neurocomputing, 2025)

Node importance evaluation in heterogeneous network based on attention mechanism and graph contrastive learning. - Jian Shu 002; Yiling Zou; Hui Cui; Linlan Liu (Neurocomputing, 2025)

Knowledge graph relation prediction based on graph transformation. - Linlan Liu; Weide Huang; Jian Shu 002; Hongjian Zhao (Appl. Intell., 2025)

Dynamic networks link prediction based on continuous gated recurrent graph convolution. - Yunchun Liao; Jian Shu 002; Linlan Liu (Int. J. Mach. Learn. Cybern., 2025)