Using Query Expansion and Classification for Information Retrieval. - Wen Yue; Zhiping Chen; Xinguo Lu; Feng Lin; Juan Liu (SKG, 2005)

A Key Distribution Scheme Based on Public Key Cryptography for Sensor Networks. - Xiaolong Li; Yaping Lin; Siqing Yang; Yeqing Yi; Jianping Yu; Xinguo Lu (CIS, 2006)

Using Most Similarity Tree Based Clustering to Select the Top Most Discriminating Genes for Cancer Detection. - Xinguo Lu; Yaping Lin; Xiaolin Yang; Lijun Cai; Haijun Wang; Gustaph Sanga (ICAISC, 2006)

A Novel EPA-KNN Gene Classification Algorithm. - Haijun Wang; Yaping Lin; Xinguo Lu; Yalin Nie (ISNN (2), 2007)

A Novel Relative Space Based Gene Feature Extraction and Cancer Recognition. - Xinguo Lu; Yaping Lin; Haijun Wang; Siwang Zhou; Xiaolong Li (PAKDD, 2007)

A novel graphical representation of protein sequences and its application. - Bo Liao; Benyou Liao; Xinguo Lu; Zhi Cao (J. Comput. Chem., 2011)

A novel feature selection method based on CFS in cancer recognition. - Xinguo Lu; Xianghua Peng; Ping Liu; Yong Deng 003; Bingtao Feng; Bo Liao (ISB, 2012)

Schizophrenia Candidate Genes Specific to Human Brain Region Are Restricted to Basal Ganglia. - Xinguo Lu; Ping Liu; Ling-Li Zeng; Renfa Li; Dewen Hu (IScIDE, 2012)

Co-expressing Patterns of Schizophrenia Candidate Genes in Brain Regions. - Xinguo Lu; Bingtao Feng; Yong Deng 003; Dewen Hu (IScIDE, 2013)

The Detection of Gene Modules with Overlapping Characteristic via Integrating Multi-omics Data in Six Cancers. - Xinguo Lu; Qiumai Miao; Ping Liu; Li Ding; Zhenghao Zhu; Min Liu; Shulin Wang (ICIC (2), 2019)

A Novel Method to Predict Protein Regions Driving Cancer Through Integration of Multi-omics Data. - Xinguo Lu; Xinyu Wang; Ping Liu; Zhenghao Zhu; Li Ding (ICIC (2), 2019)

DMCM: a Data-adaptive Mutation Clustering Method to identify cancer-related mutation clusters. - Xinguo Lu; Xin Qian; Xing Li; Qiumai Miao; Shaoliang Peng (Bioinform., 2019)

A Meta Graph-Based Top-k Similarity Measure for Heterogeneous Information Networks. - Xiangtao Chen; Yonghong Jiang; Yubo Wu; Xiaohui Wei 001; Xinguo Lu (ICIC (3), 2020)

A Probabilistic Matrix Decomposition Method for Identifying miRNA-Disease Associations. - Keren He; Ronghui Wu; Zhenghao Zhu; Jinxin Li; Xinguo Lu (ICIC (2), 2020)

Identification of Cell Types from Single-Cell Transcriptomes Using a Novel Clustering Framework. - Xinguo Lu; Yan Gao; Jinxin Li; Keren He; Guanyuan Chen; Qiang Qu (ICIC (1), 2020)

An Efficient Computational Method to Predict Drug-Target Interactions Utilizing Structural Perturbation Method. - Xinguo Lu; Fang Liu; Li Ding; Xinyu Wang; Jinxin Li; Yue Yuan (ICIC (2), 2020)

A Link-Based Ensemble Cluster Approach for Identification of Cell Types. - Xinguo Lu; Yan Gao; Daoxu Tang; Yue Yuan (ICIC (2), 2021)

An Efficient Computational Method to Predict Drug-Target Interactions Utilizing Matrix Completion and Linear Optimization Method. - Xinguo Lu; Fang Liu; Jinxin Li; Keren He; Kaibao Jiang; Changlong Gu (ICIC (3), 2021)

Predicting LncRNA-Disease Associations Based on Tensor Decomposition Method. - Xinguo Lu; Yue Yuan; Guanyuan Chen; Jinxin Li; Kaibao Jiang (ICIC (3), 2021)

An effective method using clustering-based adaptive decomposition and editing-based diversified oversamping for multi-class imbalanced datasets. - Xiangtao Chen; Lan Zhang; Xiaohui Wei 001; Xinguo Lu (Appl. Intell., 2021)

InFun: a community detection method to detect overlapping gene communities in biological network. - Xinguo Lu; Zhenghao Zhu; Xianghua Peng; Qiumai Miao; Yuansheng Luo; Xiangtao Chen (Signal Image Video Process., 2021)

frDriver: A Functional Region Driver Identification for Protein Sequence. - Xinguo Lu; Xinyu Wang; Li Ding; Jinxin Li; Yan Gao; Keren He (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A Novel Synthetic Lethality Prediction Method Based on Bidirectional Attention Learning. - Fengxu Sun; Xinguo Lu; Guanyuan Chen; Xiang Zhang; Kaibao Jiang; Jinxin Li (ICIC (2), 2022)

A Novel Trajectory Inference Method on Single-Cell Gene Expression Data. - Daoxu Tang; Xinguo Lu; Kaibao Jiang; Fengxu Sun; Jinxin Li (ICIC (2), 2022)

Predicting miRNA-Disease Associations via Combining Probability Matrix Feature Decomposition With Neighbor Learning. - Xinguo Lu; Jinxin Li; Zhenghao Zhu; Yue Yuan; Guanyuan Chen; Keren He (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Latent space feature representation on multiple biological network for synthetic lethality interaction prediction. - Jinxin Li; Daoxu Tang; Xinguo Lu; Fengxu Sun; Kaibao Jiang; Jingjing Ruan (BIBM, 2023)

MAGCN: A Multiple Attention Graph Convolution Networks for Predicting Synthetic Lethality. - Xinguo Lu; Guanyuan Chen; Jinxin Li; Xiangjin Hu; Fengxu Sun (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

HEAMWalk: Heterogeneous Network Embedding Based on Attribute Combined Multi-view Random Walks. - Xiangtao Chen; Shurui Fang; Ying Wang; Linghan Li; Xinguo Lu (ICIC (13), 2024)

TARSL: Triple-Attention Cross-Network Representation Learning to Predict Synthetic Lethality for Anti-Cancer Drug Discovery. - Jinxin Li; Xinguo Lu; Kaibao Jiang; Daoxu Tang; Bin Ning; Fengxu Sun (IEEE J. Biomed. Health Informatics, 2025)