Joining Associative Classifier for Medical Images. - Jiang Yun; Zhanhuai Li; Wang Yong; Longbo Zhang (HIS, 2005)

Improving the Performance of Data Stream Classifiers by Mining Recurring Contexts. - Yong Wang; Zhanhuai Li; Yang Zhang 010; Longbo Zhang; Yun Jiang (ADMA, 2006)

A Better Classifier Based on Rough Set and Neural Network for Medical Images. - Jiang Yun; Zhanhuai Li; Wang Yong; Longbo Zhang (ICDM Workshops, 2006)

Random Sampling Algorithms for Landmark Windows over Data Streams. - Longbo Zhang; Zhanhuai Li; Yu Min; Wang Yong; Jiang Yun (ICEIS (1), 2006)

Supporting Complex Query with Structured Overlays in Schema-Based P2P System. - Min Yu; Zhanhuai Li; Longbo Zhang (WISE Workshops, 2006)

New Sampling-Based Summary Structures for Sliding Windows over Data Streams. - Longbo Zhang; Zhanhuai Li; Min Yu; Guangyuan Zhao (ICIC (3), 2007)

Supporting Multi-attribute Queries in Peer-to-Peer Data Management Systems. - Min Yu; Zhanhuai Li; Longbo Zhang (PDCAT, 2007)

An Improved SVM Classifier for Medical Image Classification. - Yun Jiang; Zhanhuai Li; Longbo Zhang; Peng Sun (RSEISP, 2007)

A priority random sampling algorithm for time-based sliding windows over weighted streaming data. - Longbo Zhang; Zhanhuai Li; Yiqiang Q. Zhao; Yu Min; Zhang Yang (SAC, 2007)

Annotating Web Pages for Semantic Web. - Liu Yuan; Zhanhuai Li; Longbo Zhang; Shiliang Chen (CSIE (3), 2009)

Waveform Decreasing Multi-copy Based Routing in Low Node Density DTNs. - Chen Yu 003; Longbo Zhang; Hai Jin 001 (ICPCA/SWS, 2012)

Dynamic Spray and Wait Routing Protocol for Delay Tolerant Networks. - Longbo Zhang; Chen Yu 003; Hai Jin 001 (NPC, 2012)

Identifying and Evaluating the Internet Opinion Leader Community Through k-clique Clustering. - Jianfang Wang; Xiao Jia 004; Longbo Zhang (J. Comput., 2013)

一种基于聚类模式的RDF数据聚类方法 (Cluster Pattern Based RDF Data Clustering Method). - Liu Yuan 001; Longbo Zhang (计算机科学, 2015)

模式级链接关联数据集上的关联规则挖掘研究 (Association Rules Mining on Schema-level Interconnected Associated Data). - Liu Yuan 001; Longbo Zhang (计算机科学, 2016)

Multi-Scale Deep Residual Shrinkage Network for Atrial Fibrillation Recognition. - Dayin Shi; Zhiyong Wu; Longbo Zhang; Benjia Hu; Ke Meng (Int. J. Comput. Intell. Appl., 2022)

Heterogeneous Multi-Behavior Recommendation Based on Graph Convolutional Networks. - Ran Rang; Linlin Xing; Longbo Zhang; Hongzhen Cai; Zhaojie Sun (IEEE Access, 2023)

Joint Biomedical Entity and Relation Extraction Based on Feature Filter Table Labeling. - Zhaojie Sun; Linlin Xing; Longbo Zhang; Hongzhen Cai; Maozu Guo 001 (IEEE Access, 2023)

MHANDTI: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Multi-Hop Attention Networks. - Chen Zhang; Jiaqi Sun; Linlin Xing; Longbo Zhang; Hongzhen Cai; Maozu Guo 001 (BIBM, 2024)

A Multi-Feature and Dual-Attribute Interaction Aggregation Model for Predicting Drug-Target Interactions. - Yuandong Liu; Haoqin Yang; Longbo Zhang; Hongzhen Cai; Maozu Guo 001; Linlin Xing (IEEE Access, 2024)

V-GMR: a variational autoencoder-based heterogeneous graph multi-behavior recommendation model. - Haoqin Yang; Ran Rang; Linlin Xing; Longbo Zhang; Hongzhen Cai; Maozu Guo 001; Jiaqi Sun (Appl. Intell., 2024)

BAMRE: Joint extraction model of Chinese medical entities and relations based on Biaffine transformation with relation attention. - Jiaqi Sun; Chen Zhang; Linlin Xing; Longbo Zhang; Hongzhen Cai; Maozu Guo 001 (J. Biomed. Informatics, 2024)

Patient deep spatio-temporal encoding and medication substructure mapping for safe medication recommendation. - Haoqin Yang; Yuandong Liu; Longbo Zhang; Hongzhen Cai; Kai Che; Linlin Xing (J. Biomed. Informatics, 2025)