A Method for Gene Identification by Dynamic Feature Choosing. - Jiawei Luo 001; Li Yang; Xizhen Zhang (HCI (12), 2007)

New invariant of DNA sequence based on 3DD-curves and its application on phylogeny. - Xizhen Zhang; Jiawei Luo 001; Li Yang (J. Comput. Chem., 2007)

A novel method of recognizing short coding sequences of human genes. - Jiawei Luo 001; Yang Li; Jiachen Guo (BIC-TA, 2010)

A Multigroup Parallel Genetic Algorithm for Multiple Sequence Alignment. - Jiawei Luo 001; Li Zhang; Cheng Liang 001 (AICI (1), 2011)

An immune network approach with directed information for motif finding. - Ke Mao; Jiawei Luo 001 (ICNC, 2011)

MSGPs: A Novel Algorithm for Mining Sequential Generator Patterns. - Thi-Thiet Pham; Jiawei Luo 001; Tzung-Pei Hong; Bay Vo (ICCCI (2), 2012)

A comprehensive vulnerability based alert management approach for large networks. - Humphrey Waita Njogu; Jiawei Luo 001; Jane Nduta Kiere; Damien Hanyurwimfura (Future Gener. Comput. Syst., 2013)

An effective algorithm for mining closed sequential patterns and their minimal generators based on prefix trees. - Thi-Thiet Pham; Jiawei Luo 001; Bay Vo (Int. J. Intell. Inf. Database Syst., 2013)

Network specific vulnerability based alert reduction approach. - Humphrey Waita Njogu; Jiawei Luo 001; Jane Nduta Kiere (Secur. Commun. Networks, 2013)

Dimensionality Reduction by Turning Points for Stream Time Series Prediction. - Vo Van; Jiawei Luo 001; Bay Vo (Advanced Methods for Computational Collective Intelligence, 2013)

Exploring the application of gene ontology semantic similarity measure for identifying protein complexes. - Jiawei Luo 001; Lingyao Yu; Qian Dang (FSKD, 2014)

Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion. - Yue Li 017; Cheng Liang 001; Ka-Chun Wong; Jiawei Luo 001; Zhaolei Zhang (Bioinform., 2014)

A new method for predicting essential proteins based on dynamic network topology and complex information. - Jiawei Luo 001; Ling Kuang (Comput. Biol. Chem., 2014)

An efficient method for mining non-redundant sequential rules using attributed prefix-trees. - Thi-Thiet Pham; Jiawei Luo 001; Tzung-Pei Hong; Bay Vo (Eng. Appl. Artif. Intell., 2014)

An efficient algorithm for mining sequential generator pattern using prefix trees and hash tables. - Thi-Thiet Pham; Jiawei Luo 001; Tzung-Pei Hong (Int. J. Intell. Syst. Technol. Appl., 2014)

An efficient approach to reduce alerts generated by multiple IDS products. - Tu Hoang Nguyen; Jiawei Luo 001; Humphrey Waita Njogu (Int. J. Netw. Manag., 2014)

A Performance Weighted Collaborative Filtering algorithm for personalized radiology education. - Hongli Lin; Xuedong Yang; Weisheng Wang; Jiawei Luo 001 (J. Biomed. Informatics, 2014)

A cell-core-attachment approach for identifying protein complexes in PPI network. - Jiawei Luo 001; Dingyu Lin (ICNC, 2015)

A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks. - Jiawei Luo 001; Chengchen Liu; Tu Hoang Nguyen (PAKDD (2), 2015)

A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human. - Cheng Liang 001; Yue Li 017; Jiawei Luo 001; Zhaolei Zhang (Bioinform., 2015)

MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm. - Buwen Cao; Jiawei Luo 001; Cheng Liang 001; Shulin Wang; Dan Song (Comput. Biol. Chem., 2015)

A new algorithm for essential proteins identification based on the integration of protein complex co-expression information and edge clustering coefficient. - Jiawei Luo 001; Juan Wu (Int. J. Data Min. Bioinform., 2015)

Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data. - Jiawei Luo 001; Shiyu Liang (J. Biomed. Informatics, 2015)

Identifying miRNA-mRNA Regulatory Modules Based on Overlapping Neighborhood Expansion from Multiple Types of Genomic Data. - Jiawei Luo 001; Bin Liu; Buwen Cao; Shulin Wang (ICIC (1), 2016)

Solving the Static Manycast RWA Problem in Optical Networks Using Evolutionary Programming. - Amiyne Zakouni; Jiawei Luo 001; Fouad Kharroubi (ICIC (2), 2016)

Inferring human miRNA functional similarity based on gene ontology annotations. - Jiawei Luo 001; Di Dai; Buwen Cao; Ying Yin (ICNC-FSKD, 2016)

Random optimization algorithm for solving the static manycast RWA problem in optical WDM networks. - Amiyne Zakouni; Jiawei Luo 001; Fouad Kharroubi (ICTC, 2016)

Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation. - Buwen Cao; Jiawei Luo 001; Cheng Liang 001; Shulin Wang (IJCNN, 2016)

A cell-core-attachment approach for identifying protein complexes in yeast protein-protein interaction network. - Jiawei Luo 001; Dingyu Lin; Buwen Cao (J. Intell. Fuzzy Syst., 2016)

A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging. - Cheng Liang 001; Yue Li 017; Jiawei Luo 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Prediction of Essential Proteins Based on Local Interaction Density. - Yi Qi; Jiawei Luo 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Feature Selection Based on Density Peak Clustering Using Information Distance Measure. - Jie Cai; Shilong Chao; Sheng Yang; Shulin Wang; Jiawei Luo 001 (ICIC (2), 2017)

GPU-Accelerated Histogram Generation on Smart-Phone and Webbrowser. - Hai Jiang; Xianyi Zhu; Yi Xiao; Jiawei Luo 001; Yan Zheng (SpaCCS Workshops, 2017)

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)

Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk. - Guanghui Li 003; Jiawei Luo 001; Qiu Xiao; Cheng Liang 001; Pingjian Ding; Buwen Cao (IEEE Access, 2017)

Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data. - Jiawei Luo 001; Qiu Xiao; Cheng Liang 001; Pingjian Ding (IEEE Access, 2017)

Genome-wide predicting disease-related protein complexes by walking on the heterogeneous network based on data integration and laplacian normalization. - Zhiming Liu; Jiawei Luo 001 (Comput. Biol. Chem., 2017)

A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network. - Jiawei Luo 001; Qiu Xiao (J. Biomed. Informatics, 2017)

Genetic algorithm and tabu search algorithm for solving the static manycast RWA problem in optical networks. - Amiyne Zakouni; Jiawei Luo 001; Fouad Kharroubi (J. Comb. Optim., 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)

RMCL-ESA: A Novel Method to Detect Co-regulatory Functional Modules in Cancer. - Jiawei Luo 001; Ying Yin (ICIC (2), 2018)

GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network. - Qiao Zhu; Jiawei Luo 001; Pingjian Ding; Qiu Xiao (ISBRA, 2018)

An Efficient Network Motif Discovery Approach for Co-Regulatory Networks. - Jiawei Luo 001; Lv Ding; Cheng Liang 001; Tu Hoang Nguyen (IEEE Access, 2018)

A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. - Qiu Xiao; Jiawei Luo 001; Cheng Liang 001; Jie Cai; Pingjian Ding (Bioinform., 2018)

Feature selection in machine learning: A new perspective. - Jie Cai; Jiawei Luo 001; Shulin Wang; Sheng Yang (Neurocomputing, 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)

Human disease MiRNA inference by combining target information based on heterogeneous manifolds. - Pingjian Ding; Jiawei Luo 001; Cheng Liang 001; Qiu Xiao; Buwen Cao (J. Biomed. Informatics, 2018)

Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity. - Guanghui Li 003; Jiawei Luo 001; Qiu Xiao; Cheng Liang 001; Pingjian Ding (J. Biomed. Informatics, 2018)

Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks. - Buwen Cao; Shuguang Deng; Jiawei Luo 001; Pingjian Ding; Shulin Wang (J. Intell. Fuzzy Syst., 2018)

MTMO: an efficient network-centric algorithm for subtree counting and enumeration. - Guanghui Li 003; Jiawei Luo 001; Zheng Xiao; Cheng Liang 001 (Quant. Biol., 2018)

A Novel Approach to Identify the miRNA-mRNA Causal Regulatory Modules in Cancer. - Jiawei Luo 001; Wei Huang; Buwen Cao (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Co-Regulatory Functional Module Detection Based on Affinity Propagation and Neighborhood Inflation. - Ruinan Nie; Jiawei Luo 001; Hoang Tu Nguyen (HPCC/SmartCity/DSS, 2019)

MRDGC: A Parallel Approach for the Identification of Master Regulators Based on the Differently Expressed Genes and the Regulatory Capacity of Regulators. - Mingming Sun 004; Jiawei Luo 001; Nguyen Hoang Tu (HPCC/SmartCity/DSS, 2019)

A Full-chain Innovation Ecological Environment for Postgraduate Education. - Degui Xiao; Kenli Li 001; Jiawei Luo 001; Zhiyong Li 001 (ICCSE, 2019)

A Selection Method for Denoising Auto Encoder Features Using Cross Entropy. - Jie Cai; Wei Huang; Sheng Yang; Shulin Wang; Jiawei Luo 001 (ICIC (3), 2019)

A Novel Framework for Improving the Prediction of Disease-Associated MicroRNAs. - Wenhe Zhao; Jiawei Luo 001; Tu Hoang Nguyen (ICIC (2), 2019)

Prediction of LncRNA-Disease Associations Based on Network Consistency Projection. - Guanghui Li 003; Jiawei Luo 001; Cheng Liang 001; Qiu Xiao; Pingjian Ding; Yuejin Zhang (IEEE Access, 2019)

WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network. - Yahui Long; Jiawei Luo 001 (BMC Bioinform., 2019)

CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer. - Qiu Xiao; Jiawei Luo 001; Cheng Liang 001; Jie Cai; Guanghui Li 003; Buwen Cao (BMC Bioinform., 2019)

Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs. - Qiu Xiao; Jianhua Dai; Jiawei Luo 001; Hamido Fujita (Knowl. Based Syst., 2019)

Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs. - Cheng Liang 001; Shengpeng Yu; Jiawei Luo 001 (PLoS Comput. Biol., 2019)

A Novel Cluster-Based Computational Method to Identify miRNA Regulatory Modules. - Jiawei Luo 001; Chu Pan; Gen Xiang; Ying Yin (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge. - Pingjian Ding; Rui Yin 002; Jiawei Luo 001; Chee Keong Kwoh 001 (IEEE J. Biomed. Health Informatics, 2019)

Inferring MicroRNA Targets Based on Restricted Boltzmann Machines. - Ying Liu 027; Jiawei Luo 001; Pingjian Ding (IEEE J. Biomed. Health Informatics, 2019)

Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework. - Qiu Xiao; Jiawei Luo 001; Jianhua Dai (IEEE J. Biomed. Health Informatics, 2019)

Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. - Yahui Long; Yu Zhang 084; Min Wu 008; Shaoliang Peng; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (BIBM, 2020)

Segmented Encryption: A Quality and Safety Supervisory Model for Herbal Medicine Based on Blockchain Technology. - Jiameng Liu; Shaoliang Peng; Jiawei Luo 001; Zhuo Tang; Hao Liu (HealthCom, 2020)

A Graph Convolutional Matrix Completion Method for miRNA-Disease Association Prediction. - Wei Wang; Jiawei Luo 001; Cong Shen 002; Nguyen Hoang Tu (ICIC (2), 2020)

Heterogeneous information network and its application to human health and disease. - Pingjian Ding; Wenjue Ouyang; Jiawei Luo 001; Chee-Keong Kwoh 001 (Briefings Bioinform., 2020)

Ensembling graph attention networks for human microbe-drug association prediction. - Yahui Long; Min Wu 008; Yong Liu 020; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2020)

Predicting human microbe-drug associations via graph convolutional network with conditional random field. - Yahui Long; Min Wu 008; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2020)

Potential circRNA-disease association prediction using DeepWalk and network consistency projection. - Guanghui Li 003; Jiawei Luo 001; Diancheng Wang; Cheng Liang 001; Qiu Xiao; Pingjian Ding; Hailin Chen (J. Biomed. Informatics, 2020)

Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization. - Pingjian Ding; Cong Shen 002; Zihan Lai; Cheng Liang 001; Guanghui Li 003; Jiawei Luo 001 (J. Chem. Inf. Model., 2020)

Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge. - Cong Shen 002; Jiawei Luo 001; Zihan Lai; Pingjian Ding (J. Chem. Inf. Model., 2020)

Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks. - Cong Shen 002; Jiawei Luo 001; Wenjue Ouyang; Pingjian Ding; Hao Wu (J. Chem. Inf. Model., 2020)

NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity. - Jiawei Luo 001; Yahui Long (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

BiModule: Biclique Modularity Strategy for Identifying Transcription Factor and microRNA Co-Regulatory Modules. - Chu Pan; Jiawei Luo 001; Jiao Zhang 003; Xin Li (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. - Qiu Xiao; Jiawei Luo 001; Cheng Liang 001; Guanghui Li 003; Jie Cai; Pingjian Ding; Ying Liu 027 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Computational Identification of RNA-Seq Based miRNA-Mediated Prognostic Modules in Cancer. - Chu Pan; Jiawei Luo 001; Jiao Zhang 003 (IEEE J. Biomed. Health Informatics, 2020)

DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning. - Boya Ji; Jiawei Luo 001; Liangrui Pan; Xiaolan Xie; Shaoliang Peng (BIBM, 2021)

Graph Attention Mechanism-based Deep Tensor Factorization for Predicting disease-associated miRNA-miRNA pairs. - Jiawei Luo 001; Zihan Lai; Cong Shen 002; Pei Liu; Heyuan Shi (BIBM, 2021)

miRNA-Disease Associations Prediction Based on Neural Tensor Decomposition. - Yi Liu; Jiawei Luo 001; Hao Wu (ICIC (3), 2021)

Predicting human microbe-disease associations via graph attention networks with inductive matrix completion. - Yahui Long; Jiawei Luo 001; Yu Zhang 084; Yan Xia (Briefings Bioinform., 2021)

Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction. - Xinru Tang; Jiawei Luo 001; Cong Shen 002; Zihan Lai (Briefings Bioinform., 2021)

NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning. - Qiu Xiao; Yu Fu; Yide Yang; Jianhua Dai; Jiawei Luo 001 (Briefings Bioinform., 2021)

Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs. - Qiu Xiao; Ning Zhang; Jiawei Luo 001; Jianhua Dai; Xiwei Tang (Briefings Bioinform., 2021)

SG-LSTM-FRAME: a computational frame using sequence and geometrical information via LSTM to predict miRNA-gene associations. - Weidun Xie; Jiawei Luo 001; Chu Pan; Ying Liu 027 (Briefings Bioinform., 2021)

Cancer subtype identification by consensus guided graph autoencoders. - Cheng Liang 001; Mingchao Shang; Jiawei Luo 001 (Bioinform., 2021)

Graph contextualized attention network for predicting synthetic lethality in human cancers. - Yahui Long; Min Wu 008; Yong Liu 020; Jie Zheng 002; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 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)

Inferring MicroRNA-Disease Associations Based on the Identification of a Functional Module. - Buwen Cao; Shuguang Deng; Hua Qin; Jiawei Luo 001; Guanghui Li 003; Cheng Liang 001 (J. Comput. Biol., 2021)

Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. - Pingjian Ding; Cheng Liang 001; Wenjue Ouyang; Guanghui Li 003; Qiu Xiao; Jiawei Luo 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization. - Jiawei Luo 001; Cong Shen 002; Zihan Lai; Jie Cai; Pingjian Ding (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation. - Yahui Long; Jiawei Luo 001 (IEEE J. Biomed. Health Informatics, 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)

An Enabling-Oriented Blended Teaching and Learning Ecosystem - Take the Data Structure and Algorithm Course as an Example. - Jiawei Luo 001; Weilan Qu; Xiaobo Yang; Hongbo Jiang; Yan Xia; Guanghua Tan (ICCSE (3), 2022)

A survey of circular RNAs in complex diseases: databases, tools and computational methods. - Qiu Xiao; Jianhua Dai; Jiawei Luo 001 (Briefings Bioinform., 2022)

A knowledge-driven network for fine-grained relationship detection between miRNA and disease. - Shengpeng Yu; Hong Wang 015; Tianyu Liu; Cheng Liang 001; Jiawei Luo 001 (Briefings Bioinform., 2022)

Pre-training graph neural networks for link prediction in biomedical networks. - Yahui Long; Min Wu 008; Yong Liu 020; Yuan Fang 001; Chee Keong Kwoh 001; Jinmiao Chen; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2022)

Predicting miRNA-disease associations based on graph attention network with multi-source information. - Guanghui Li 003; Tao Fang; Yuejin Zhang; Cheng Liang 001; Qiu Xiao; Jiawei Luo 001 (BMC Bioinform., 2022)

GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning. - Guanghui Li 003; Yawei Lin; Jiawei Luo 001; Qiu Xiao; Cheng Liang 001 (Comput. Biol. Chem., 2022)

Inferring RNA-binding protein target preferences using adversarial domain adaptation. - Ying Liu 027; Ruihui Li; Jiawei Luo 001; Zhaolei Zhang (PLoS Comput. Biol., 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)

Data Integration Using Tensor Decomposition for the Prediction of miRNA-Disease Associations. - Jiawei Luo 001; Yi Liu; Pei Liu; Zihan Lai; Hao Wu (IEEE J. Biomed. Health Informatics, 2022)

Multi-Relation Graph Embedding for Predicting miRNA-Target Gene Interactions by Integrating Gene Sequence Information. - Jiawei Luo 001; Wenjue Ouyang; Cong Shen 002; Jie Cai (IEEE J. Biomed. Health Informatics, 2022)

scSemiGAN: a single-cell semi-supervised annotation and dimensionality reduction framework based on generative adversarial network. - Zhongyuan Xu; Jiawei Luo 001; Zehao Xiong (Bioinform., 2022)

scSRL: Siamese Representation Learning-based method for analyzing single-cell RNA-seq data. - Zhaoyang Sun; Ying Liu 027; Pei Liu; Wanwan Shi; Jiawei Luo 001 (BIBM, 2023)

Diagnosis of Lung Cancer Subtypes by Combining Multi-graph Embedding and Graph Fusion Network. - Siyu Peng; Jiawei Luo 001; Cong Shen 002; Bo Wang (ICIC (5), 2023)

Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. - Cong Shen 002; Pingjian Ding; Junjie Wee; Jialin Bi; Jiawei Luo 001; Kelin Xia (CoRR, 2023)

Molecular geometric deep learning. - Cong Shen 002; Jiawei Luo 001; Kelin Xia (CoRR, 2023)

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)

scGCL: an imputation method for scRNA-seq data based on graph contrastive learning. - Zehao Xiong; Jiawei Luo 001; Wanwan Shi; Ying Liu 027; Zhongyuan Xu; Bo Wang (Bioinform., 2023)

Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism. - Bo Wang; Jiawei Luo 001; Ying Liu 027; Wanwan Shi; Zehao Xiong; Cong Shen 002; Yahui Long (Briefings Bioinform., 2023)

Incomplete multi-view clustering by simultaneously learning robust representations and optimal graph structures. - Mingchao Shang; Cheng Liang 001; Jiawei Luo 001; Huaxiang Zhang 001 (Inf. Sci., 2023)

MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning. - Guanghui Li 003; Feifan Zeng; Jiawei Luo 001; Cheng Liang 001; Qiu Xiao (BMC Medical Informatics Decis. Mak., 2023)

MiRGraph: A hybrid deep learning approach to identify microRNA-target interactions by integrating heterogeneous regulatory network and genomic sequences. - Pei Liu; Ying Liu 027; Jiawei Luo 001; Yue Li 017 (BIBM, 2024)

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)

scGADR: Dimensionality Reduction of Single-Cell RNA-seq Data with ZINB-Based Graph Attention Autoencoder. - Yongxuan Tang; Jiawei Luo 001; Zhongyuan Xu; Zehao Xiong; Bo Wang; Nguyen Hoang Tu (ICIC (LNBI 2), 2024)

Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training. - Peihao Bai; Guanghui Li 003; Jiawei Luo 001; Cheng Liang 001 (Briefings Bioinform., 2024)

SpaGIC: graph-informed clustering in spatial transcriptomics via self-supervised contrastive learning. - Wei Liu; Bo Wang; Yuting Bai; Xiao Liang; Li Xue; Jiawei Luo 001 (Briefings Bioinform., 2024)

STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolution. - Bo Wang; Yahui Long; Yuting Bai; Jiawei Luo 001; Chee Keong Kwoh 001 (Briefings Bioinform., 2024)

Drug repositioning based on residual attention network and free multiscale adversarial training. - Guanghui Li 003; Shuwen Li; Cheng Liang 001; Qiu Xiao; Jiawei Luo 001 (BMC Bioinform., 2024)

Identifying Spatial Domains by Fusing Spatial Transcriptomics and Histological Images Through Contrastive Learning. - Li Xue; Xiao Liang; Bo Wang; Wei Liu; Zhiyi Zou; Qiu Xiao; Nguyen Hoang Tu; Jiawei Luo 001 (ICIC (28), 2025)

scTrans: Sparse attention powers fast and accurate cell type annotation in single-cell RNA-seq data. - Zhiyi Zou; Ying Liu 027; Yuting Bai; Jiawei Luo 001; Zhaolei Zhang (PLoS Comput. Biol., 2025)

Torsion Graph Neural Networks. - Cong Shen 002; Xiang Liu 021; Jiawei Luo 001; Kelin Xia (IEEE Trans. Pattern Anal. Mach. Intell., 2025)