An improved algorithm of mining Strong Jumping Emerging Patterns based on sorted SJEP-Tree. - Xiangtao Chen; Lijuan Lu (BIC-TA, 2010)

A New Algorithm Based on Shared Pattern-Tree to Mine Shared Emerging Patterns. - Xiangtao Chen; Lijuan Lu (ICDM Workshops, 2011)

A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity. - Pingjian Ding; Jiawei Luo 001; Cheng Liang 001; Jie Cai; Ying Liu 027; Xiangtao Chen (IEEE Access, 2017)

Seeksv: an accurate tool for somatic structural variation and virus integration detection. - Ying Liang; Kunlong Qiu; Bo Liao; Wen Zhu; Xuanlin Huang; Lin Li; Xiangtao Chen; Keqin Li 001 (Bioinform., 2017)

基于位置信息的显露序列模式挖掘研究 (Emerging Sequences Pattern Mining Based on Location Information). - Xiangtao Chen; Biwen Xiao (计算机科学, 2017)

Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning. - Jiawei Luo 001; Pingjian Ding; Cheng Liang 001; Buwen Cao; Xiangtao Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Overlapping Community Detection by Node-Weighting. - Xiangtao Chen; Juan Li (ICCDA, 2018)

Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks. - Jiawei Luo 001; Pingjian Ding; Cheng Liang 001; Xiangtao Chen (Neurocomputing, 2018)

A modified PBI approach for multi-objective optimization with complex Pareto fronts. - Qisheng Zhang; Wen Zhu; Bo Liao; Xiangtao Chen; Lijun Cai (Swarm Evol. Comput., 2018)

Mining Contrast Sequential Patterns based on Subsequence Location Distribution from Biological Sequences. - Qing Li; Xiangtao Chen; Ronghui Wu (DSIT, 2019)

Improved Prediction of Cell-Penetrating Peptides via Effective Orchestrating Amino Acid Composition Feature Representation. - Xiangzheng Fu; Lixia Ke; Lijun Cai; Xiangtao Chen; Xuanbai Ren; Mingyu Gao 004 (IEEE Access, 2019)

Mining contrast sequential pattern based on subsequence time distribution variation with discreteness constraints. - Ronghui Wu; Qing Li; Xiangtao Chen (Appl. Intell., 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)

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)

IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors. - Cong Shen 002; Jiawei Luo 001; Wenjue Ouyang; Pingjian Ding; Xiangtao Chen (Bioinform., 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)

scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis. - Zehao Xiong; Xiangtao Chen; Jiawei Luo 001; Cong Shen 002; Zhongyuan Xu (BIBM, 2022)

A Stable Community Detection Approach for Large-Scale Complex Networks Based on Improved Label Propagation Algorithm. - Xiangtao Chen; Meijie Zhao (ICIC (3), 2022)

miRCom: Tensor Completion Integrating Multi-View Information to Deduce the Potential Disease-Related miRNA-miRNA Pairs. - Pei Liu; Jiawei Luo 001; Xiangtao Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Deep Multi-Constraint Soft Clustering Analysis for Single-Cell RNA-Seq Data via Zero-Inflated Autoencoder Embedding. - Yezi He; Xiangtao Chen; Nguyen Hoang Tu; Jiawei Luo 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

SMMGCL: a novel multi-level graph contrastive learning framework for integrating spatial multi-omics data. - Bo Wang; Wei Liu; Jiawei Luo 001; Xiangtao Chen; Chee Keong Kwoh 001 (BIBM, 2024)

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)