Jiawei Luo - RankMe

135 papers A* 1B 1C 1Misc 2Journal 94Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Multi-Level Domain Adaptation and Contrastive Domain Isolation with Bilinear Fusion for Patient Drug Response Prediction. AAAI Yuting Bai, Hanwen Lv, Wanwan Shi, Zhiyi Zou, Jiawei Luo
2025	J	`jnl`	ConvNTC: convolutional neural tensor completion for detecting "A-A-B" type biological triplets. Briefings Bioinform. Pei Liu, Xiao Liang, Yue Li, Jiawei Luo
2025	—	`conf`	Fine-Grained Cross-Attention Between Drug Structures and Genes for Perturbation Prediction. BIBM Hanwen Lv, Yuting Bai, Jiawei Luo
2025	—	`conf`	High-Frequency-Aware Graph Integration for Subcellular Spatial Transcriptomics. BIBM Wanwan Shi, Bo Wang, Yahui Long, Ying Liu, Qiu Xiao, Yuting Bai, Xiaoyi Peng, Xiangtao Chen, Jiawei Luo
2025	—	`conf`	Identifying Spatial Domains by Fusing Spatial Transcriptomics and Histological Images Through Contrastive Learning. ICIC (28) Li Xue, Xiao Liang, Bo Wang, Wei Liu, Zhiyi Zou, Qiu Xiao, Nguyen Hoang Tu, Jiawei Luo
2025	J	`jnl`	STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolution. Briefings Bioinform. Bo Wang, Yahui Long, Yuting Bai, Jiawei Luo, Chee Keong Kwoh
2025	—	`conf`	SpaMCI-DL: A Hybrid Deep Learning Framework for Integrated Identification of Domains and Spatially Variable Genes in Spatial Transcriptomics. BIBM Xiao Liang, Pei Liu, Cong Shen, Wei Liu, Juping Li, Jiawei Luo
2025	J	`jnl`	Synergistic Drug Combination Prediction via Dual-Level Feature Aggregation and Knowledge Graph-Based Deep Neural Network. IEEE J. Biomed. Health Informatics Ying Zuo, Yan Zhang, Li Wang, Jianping Yu, Jiawei Luo, Qiu Xiao
2025	J	`jnl`	Torsion Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia
2025	J	`jnl`	scGANCL: Bidirectional Generative Adversarial Network for Imputing scRNA-Seq Data With Contrastive Learning. IEEE Trans. Comput. Biol. Bioinform. Wanwan Shi, Yahui Long, Jiawei Luo, Ying Liu, Zehao Xiong, Bo Wang, Zhongyuan Xu
2025	J	`jnl`	scMID: A Deep Multi-Omics Integration Framework for Comprehensive Single-Cell Data Analysis. IEEE Trans. Comput. Biol. Bioinform. Qiu Xiao, Yan Zhang, Wanwan Shi, Li Wang, Ying Zuo, Fei Guo, Jiawei Luo
2025	J	`jnl`	scTrans: Sparse attention powers fast and accurate cell type annotation in single-cell RNA-seq data. PLoS Comput. Biol. Zhiyi Zou, Ying Liu, Yuting Bai, Jiawei Luo, Zhaolei Zhang
2024	J	`jnl`	A multi-modality and multi-granularity collaborative learning framework for identifying spatial domains and spatially variable genes. Bioinform. Xiao Liang, Pei Liu, Li Xue, Baiyun Chen, Wei Liu, Wanwan Shi, Yongwang Wang, Xiangtao Chen, Jiawei Luo
2024	J	`jnl`	Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training. Briefings Bioinform. Peihao Bai, Guanghui Li, Jiawei Luo, Cheng Liang
2024	J	`jnl`	Drug repositioning based on residual attention network and free multiscale adversarial training. BMC Bioinform. Guanghui Li, Shuwen Li, Cheng Liang, Qiu Xiao, Jiawei Luo
2024	—	`conf`	MiRGraph: A hybrid deep learning approach to identify microRNA-target interactions by integrating heterogeneous regulatory network and genomic sequences. BIBM Pei Liu, Ying Liu, Jiawei Luo, Yue Li
2024	—	`conf`	SMMGCL: a novel multi-level graph contrastive learning framework for integrating spatial multi-omics data. BIBM Bo Wang, Wei Liu, Jiawei Luo, Xiangtao Chen, Chee Keong Kwoh
2024	J	`jnl`	SpaGIC: graph-informed clustering in spatial transcriptomics via self-supervised contrastive learning. Briefings Bioinform. Wei Liu, Bo Wang, Yuting Bai, Xiao Liang, Li Xue, Jiawei Luo
2024	—	`conf`	scGADR: Dimensionality Reduction of Single-Cell RNA-seq Data with ZINB-Based Graph Attention Autoencoder. ICIC (LNBI 2) Yongxuan Tang, Jiawei Luo, Zhongyuan Xu, Zehao Xiong, Bo Wang, Nguyen Hoang Tu
2023	J	`jnl`	Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. CoRR Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia
2023	J	`jnl`	Deep Multi-Constraint Soft Clustering Analysis for Single-Cell RNA-Seq Data via Zero-Inflated Autoencoder Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. Yezi He, Xiangtao Chen, Nguyen Hoang Tu, Jiawei Luo
2023	—	`conf`	Diagnosis of Lung Cancer Subtypes by Combining Multi-graph Embedding and Graph Fusion Network. ICIC (5) Siyu Peng, Jiawei Luo, Cong Shen, Bo Wang
2023	J	`jnl`	Incomplete multi-view clustering by simultaneously learning robust representations and optimal graph structures. Inf. Sci. Mingchao Shang, Cheng Liang, Jiawei Luo, Huaxiang Zhang
2023	J	`jnl`	MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning. BMC Medical Informatics Decis. Mak. Guanghui Li, Feifan Zeng, Jiawei Luo, Cheng Liang, Qiu Xiao
2023	J	`jnl`	Molecular geometric deep learning. CoRR Cong Shen, Jiawei Luo, Kelin Xia
2023	J	`jnl`	Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism. Briefings Bioinform. Bo Wang, Jiawei Luo, Ying Liu, Wanwan Shi, Zehao Xiong, Cong Shen, Yahui Long
2023	J	`jnl`	Torsion Graph Neural Networks. CoRR Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia
2023	J	`jnl`	scGCL: an imputation method for scRNA-seq data based on graph contrastive learning. Bioinform. Zehao Xiong, Jiawei Luo, Wanwan Shi, Ying Liu, Zhongyuan Xu, Bo Wang
2023	—	`conf`	scSRL: Siamese Representation Learning-based method for analyzing single-cell RNA-seq data. BIBM Zhaoyang Sun, Ying Liu, Pei Liu, Wanwan Shi, Jiawei Luo
2022	J	`jnl`	A knowledge-driven network for fine-grained relationship detection between miRNA and disease. Briefings Bioinform. Shengpeng Yu, Hong Wang, Tianyu Liu, Cheng Liang, Jiawei Luo
2022	J	`jnl`	A survey of circular RNAs in complex diseases: databases, tools and computational methods. Briefings Bioinform. Qiu Xiao, Jianhua Dai, Jiawei Luo
2022	—	`conf`	An Enabling-Oriented Blended Teaching and Learning Ecosystem - Take the Data Structure and Algorithm Course as an Example. ICCSE (3) Jiawei Luo, Weilan Qu, Xiaobo Yang, Hongbo Jiang, Yan Xia, Guanghua Tan
2022	J	`jnl`	Data Integration Using Tensor Decomposition for the Prediction of miRNA-Disease Associations. IEEE J. Biomed. Health Informatics Jiawei Luo, Yi Liu, Pei Liu, Zihan Lai, Hao Wu
2022	J	`jnl`	GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning. Comput. Biol. Chem. Guanghui Li, Yawei Lin, Jiawei Luo, Qiu Xiao, Cheng Liang
2022	J	`jnl`	Inferring RNA-binding protein target preferences using adversarial domain adaptation. PLoS Comput. Biol. Ying Liu, Ruihui Li, Jiawei Luo, Zhaolei Zhang
2022	J	`jnl`	Multi-Relation Graph Embedding for Predicting miRNA-Target Gene Interactions by Integrating Gene Sequence Information. IEEE J. Biomed. Health Informatics Jiawei Luo, Wenjue Ouyang, Cong Shen, Jie Cai
2022	J	`jnl`	Pre-training graph neural networks for link prediction in biomedical networks. Bioinform. Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li
2022	J	`jnl`	Predicting miRNA-disease associations based on graph attention network with multi-source information. BMC Bioinform. Guanghui Li, Tao Fang, Yuejin Zhang, Cheng Liang, Qiu Xiao, Jiawei Luo
2022	J	`jnl`	miRCom: Tensor Completion Integrating Multi-View Information to Deduce the Potential Disease-Related miRNA-miRNA Pairs. IEEE ACM Trans. Comput. Biol. Bioinform. Pei Liu, Jiawei Luo, Xiangtao Chen
2022	—	`conf`	scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis. BIBM Zehao Xiong, Xiangtao Chen, Jiawei Luo, Cong Shen, Zhongyuan Xu
2022	J	`jnl`	scSemiGAN: a single-cell semi-supervised annotation and dimensionality reduction framework based on generative adversarial network. Bioinform. Zhongyuan Xu, Jiawei Luo, Zehao Xiong
2021	J	`jnl`	Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs. Briefings Bioinform. Qiu Xiao, Ning Zhang, Jiawei Luo, Jianhua Dai, Xiwei Tang
2021	J	`jnl`	Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation. IEEE J. Biomed. Health Informatics Yahui Long, Jiawei Luo
2021	J	`jnl`	Cancer subtype identification by consensus guided graph autoencoders. Bioinform. Cheng Liang, Mingchao Shang, Jiawei Luo
2021	—	`conf`	DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning. BIBM Boya Ji, Jiawei Luo, Liangrui Pan, Xiaolan Xie, Shaoliang Peng
2021	—	`conf`	Graph Attention Mechanism-based Deep Tensor Factorization for Predicting disease-associated miRNA-miRNA pairs. BIBM Jiawei Luo, Zihan Lai, Cong Shen, Pei Liu, Heyuan Shi
2021	J	`jnl`	Graph contextualized attention network for predicting synthetic lethality in human cancers. Bioinform. Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2021	J	`jnl`	IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors. Bioinform. Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Xiangtao Chen
2021	J	`jnl`	Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. Jiawei Luo, Cong Shen, Zihan Lai, Jie Cai, Pingjian Ding
2021	J	`jnl`	Inferring MicroRNA-Disease Associations Based on the Identification of a Functional Module. J. Comput. Biol. Buwen Cao, Shuguang Deng, Hua Qin, Jiawei Luo, Guanghui Li, Cheng Liang
2021	J	`jnl`	Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. Pingjian Ding, Cheng Liang, Wenjue Ouyang, Guanghui Li, Qiu Xiao, Jiawei Luo
2021	J	`jnl`	Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction. Briefings Bioinform. Xinru Tang, Jiawei Luo, Cong Shen, Zihan Lai
2021	J	`jnl`	NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning. Briefings Bioinform. Qiu Xiao, Yu Fu, Yide Yang, Jianhua Dai, Jiawei Luo
2021	J	`jnl`	Predicting human microbe-disease associations via graph attention networks with inductive matrix completion. Briefings Bioinform. Yahui Long, Jiawei Luo, Yu Zhang, Yan Xia
2021	J	`jnl`	SG-LSTM-FRAME: a computational frame using sequence and geometrical information via LSTM to predict miRNA-gene associations. Briefings Bioinform. Weidun Xie, Jiawei Luo, Chu Pan, Ying Liu
2021	—	`conf`	miRNA-Disease Associations Prediction Based on Neural Tensor Decomposition. ICIC (3) Yi Liu, Jiawei Luo, Hao Wu
2020	—	`conf`	A Graph Convolutional Matrix Completion Method for miRNA-Disease Association Prediction. ICIC (2) Wei Wang, Jiawei Luo, Cong Shen, Nguyen Hoang Tu
2020	J	`jnl`	BiModule: Biclique Modularity Strategy for Identifying Transcription Factor and microRNA Co-Regulatory Modules. IEEE ACM Trans. Comput. Biol. Bioinform. Chu Pan, Jiawei Luo, Jiao Zhang, Xin Li
2020	J	`jnl`	Computational Identification of RNA-Seq Based miRNA-Mediated Prognostic Modules in Cancer. IEEE J. Biomed. Health Informatics Chu Pan, Jiawei Luo, Jiao Zhang
2020	J	`jnl`	Ensembling graph attention networks for human microbe-drug association prediction. Bioinform. Yahui Long, Min Wu, Yong Liu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020	J	`jnl`	Heterogeneous information network and its application to human health and disease. Briefings Bioinform. Pingjian Ding, Wenjue Ouyang, Jiawei Luo, Chee-Keong Kwoh
2020	J	`jnl`	Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks. J. Chem. Inf. Model. Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Hao Wu
2020	J	`jnl`	Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. Qiu Xiao, Jiawei Luo, Cheng Liang, Guanghui Li, Jie Cai, Pingjian Ding, Ying Liu
2020	J	`jnl`	Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization. J. Chem. Inf. Model. Pingjian Ding, Cong Shen, Zihan Lai, Cheng Liang, Guanghui Li, Jiawei Luo
2020	J	`jnl`	Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge. J. Chem. Inf. Model. Cong Shen, Jiawei Luo, Zihan Lai, Pingjian Ding
2020	J	`jnl`	NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity. IEEE ACM Trans. Comput. Biol. Bioinform. Jiawei Luo, Yahui Long
2020	J	`jnl`	Potential circRNA-disease association prediction using DeepWalk and network consistency projection. J. Biomed. Informatics Guanghui Li, Jiawei Luo, Diancheng Wang, Cheng Liang, Qiu Xiao, Pingjian Ding, Hailin Chen
2020	—	`conf`	Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. BIBM Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020	J	`jnl`	Predicting human microbe-drug associations via graph convolutional network with conditional random field. Bioinform. Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020	C	`conf`	Segmented Encryption: A Quality and Safety Supervisory Model for Herbal Medicine Based on Blockchain Technology. HealthCom Jiameng Liu, Shaoliang Peng, Jiawei Luo, Zhuo Tang, Hao Liu
2019	—	`conf`	A Full-chain Innovation Ecological Environment for Postgraduate Education. ICCSE Degui Xiao, Kenli Li, Jiawei Luo, Zhiyong Li
2019	J	`jnl`	A Novel Cluster-Based Computational Method to Identify miRNA Regulatory Modules. IEEE ACM Trans. Comput. Biol. Bioinform. Jiawei Luo, Chu Pan, Gen Xiang, Ying Yin
2019	—	`conf`	A Novel Framework for Improving the Prediction of Disease-Associated MicroRNAs. ICIC (2) Wenhe Zhao, Jiawei Luo, Tu Hoang Nguyen
2019	—	`conf`	A Selection Method for Denoising Auto Encoder Features Using Cross Entropy. ICIC (3) Jie Cai, Wei Huang, Sheng Yang, Shulin Wang, Jiawei Luo
2019	J	`jnl`	Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs. PLoS Comput. Biol. Cheng Liang, Shengpeng Yu, Jiawei Luo
2019	J	`jnl`	CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer. BMC Bioinform. Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Guanghui Li, Buwen Cao
2019	—	`conf`	Co-Regulatory Functional Module Detection Based on Affinity Propagation and Neighborhood Inflation. HPCC/SmartCity/DSS Ruinan Nie, Jiawei Luo, Hoang Tu Nguyen
2019	J	`jnl`	Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework. IEEE J. Biomed. Health Informatics Qiu Xiao, Jiawei Luo, Jianhua Dai
2019	J	`jnl`	Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge. IEEE J. Biomed. Health Informatics Pingjian Ding, Rui Yin, Jiawei Luo, Chee Keong Kwoh
2019	J	`jnl`	Inferring MicroRNA Targets Based on Restricted Boltzmann Machines. IEEE J. Biomed. Health Informatics Ying Liu, Jiawei Luo, Pingjian Ding
2019	—	`conf`	MRDGC: A Parallel Approach for the Identification of Master Regulators Based on the Differently Expressed Genes and the Regulatory Capacity of Regulators. HPCC/SmartCity/DSS Mingming Sun, Jiawei Luo, Nguyen Hoang Tu
2019	J	`jnl`	Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs. Knowl. Based Syst. Qiu Xiao, Jianhua Dai, Jiawei Luo, Hamido Fujita
2019	J	`jnl`	Prediction of LncRNA-Disease Associations Based on Network Consistency Projection. IEEE Access Guanghui Li, Jiawei Luo, Cheng Liang, Qiu Xiao, Pingjian Ding, Yuejin Zhang
2019	J	`jnl`	WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network. BMC Bioinform. Yahui Long, Jiawei Luo
2018	J	`jnl`	A Novel Approach to Identify the miRNA-mRNA Causal Regulatory Modules in Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. Jiawei Luo, Wei Huang, Buwen Cao
2018	J	`jnl`	A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. Bioinform. Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Pingjian Ding
2018	J	`jnl`	An Efficient Network Motif Discovery Approach for Co-Regulatory Networks. IEEE Access Jiawei Luo, Lv Ding, Cheng Liang, Tu Hoang Nguyen
2018	J	`jnl`	Feature selection in machine learning: A new perspective. Neurocomputing Jie Cai, Jiawei Luo, Shulin Wang, Sheng Yang
2018	—	`conf`	GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network. ISBRA Qiao Zhu, Jiawei Luo, Pingjian Ding, Qiu Xiao
2018	J	`jnl`	Human disease MiRNA inference by combining target information based on heterogeneous manifolds. J. Biomed. Informatics Pingjian Ding, Jiawei Luo, Cheng Liang, Qiu Xiao, Buwen Cao
2018	J	`jnl`	Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks. J. Intell. Fuzzy Syst. Buwen Cao, Shuguang Deng, Jiawei Luo, Pingjian Ding, Shulin Wang
2018	J	`jnl`	MTMO: an efficient network-centric algorithm for subtree counting and enumeration. Quant. Biol. Guanghui Li, Jiawei Luo, Zheng Xiao, Cheng Liang
2018	J	`jnl`	Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity. J. Biomed. Informatics Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding
2018	—	`conf`	RMCL-ESA: A Novel Method to Detect Co-regulatory Functional Modules in Cancer. ICIC (2) Jiawei Luo, Ying Yin
2018	J	`jnl`	Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks. Neurocomputing Jiawei Luo, Pingjian Ding, Cheng Liang, Xiangtao Chen
2017	J	`jnl`	A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity. IEEE Access Pingjian Ding, Jiawei Luo, Cheng Liang, Jie Cai, Ying Liu, Xiangtao Chen
2017	J	`jnl`	A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network. J. Biomed. Informatics Jiawei Luo, Qiu Xiao
2017	J	`jnl`	Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Jiawei Luo, Pingjian Ding, Cheng Liang, Buwen Cao, Xiangtao Chen
2017	—	`conf`	Feature Selection Based on Density Peak Clustering Using Information Distance Measure. ICIC (2) Jie Cai, Shilong Chao, Sheng Yang, Shulin Wang, Jiawei Luo
2017	—	`conf`	GPU-Accelerated Histogram Generation on Smart-Phone and Webbrowser. SpaCCS Workshops Hai Jiang, Xianyi Zhu, Yi Xiao, Jiawei Luo, Yan Zheng
2017	J	`jnl`	Genetic algorithm and tabu search algorithm for solving the static manycast RWA problem in optical networks. J. Comb. Optim. Amiyne Zakouni, Jiawei Luo, Fouad Kharroubi
2017	J	`jnl`	Genome-wide predicting disease-related protein complexes by walking on the heterogeneous network based on data integration and laplacian normalization. Comput. Biol. Chem. Zhiming Liu, Jiawei Luo
2017	J	`jnl`	Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data. IEEE Access Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding
2017	J	`jnl`	Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk. IEEE Access Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding, Buwen Cao
2016	J	`jnl`	A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Liang, Yue Li, Jiawei Luo
2016	J	`jnl`	A cell-core-attachment approach for identifying protein complexes in yeast protein-protein interaction network. J. Intell. Fuzzy Syst. Jiawei Luo, Dingyu Lin, Buwen Cao
2016	B	`conf`	Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation. IJCNN Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang
2016	—	`conf`	Identifying miRNA-mRNA Regulatory Modules Based on Overlapping Neighborhood Expansion from Multiple Types of Genomic Data. ICIC (1) Jiawei Luo, Bin Liu, Buwen Cao, Shulin Wang
2016	—	`conf`	Inferring human miRNA functional similarity based on gene ontology annotations. ICNC-FSKD Jiawei Luo, Di Dai, Buwen Cao, Ying Yin
2016	J	`jnl`	Prediction of Essential Proteins Based on Local Interaction Density. IEEE ACM Trans. Comput. Biol. Bioinform. Yi Qi, Jiawei Luo
2016	—	`conf`	Random optimization algorithm for solving the static manycast RWA problem in optical WDM networks. ICTC Amiyne Zakouni, Jiawei Luo, Fouad Kharroubi
2016	—	`conf`	Solving the Static Manycast RWA Problem in Optical Networks Using Evolutionary Programming. ICIC (2) Amiyne Zakouni, Jiawei Luo, Fouad Kharroubi
2015	—	`conf`	A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks. PAKDD (2) Jiawei Luo, Chengchen Liu, Tu Hoang Nguyen
2015	Misc	`conf`	A cell-core-attachment approach for identifying protein complexes in PPI network. ICNC Jiawei Luo, Dingyu Lin
2015	J	`jnl`	A new algorithm for essential proteins identification based on the integration of protein complex co-expression information and edge clustering coefficient. Int. J. Data Min. Bioinform. Jiawei Luo, Juan Wu
2015	J	`jnl`	A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human. Bioinform. Cheng Liang, Yue Li, Jiawei Luo, Zhaolei Zhang
2015	J	`jnl`	MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm. Comput. Biol. Chem. Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang, Dan Song
2015	J	`jnl`	Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data. J. Biomed. Informatics Jiawei Luo, Shiyu Liang
2014	J	`jnl`	A Performance Weighted Collaborative Filtering algorithm for personalized radiology education. J. Biomed. Informatics Hongli Lin, Xuedong Yang, Weisheng Wang, Jiawei Luo
2014	J	`jnl`	A new method for predicting essential proteins based on dynamic network topology and complex information. Comput. Biol. Chem. Jiawei Luo, Ling Kuang
2014	J	`jnl`	An efficient algorithm for mining sequential generator pattern using prefix trees and hash tables. Int. J. Intell. Syst. Technol. Appl. Thi-Thiet Pham, Jiawei Luo, Tzung-Pei Hong
2014	J	`jnl`	An efficient approach to reduce alerts generated by multiple IDS products. Int. J. Netw. Manag. Tu Hoang Nguyen, Jiawei Luo, Humphrey Waita Njogu
2014	J	`jnl`	An efficient method for mining non-redundant sequential rules using attributed prefix-trees. Eng. Appl. Artif. Intell. Thi-Thiet Pham, Jiawei Luo, Tzung-Pei Hong, Bay Vo
2014	—	`conf`	Exploring the application of gene ontology semantic similarity measure for identifying protein complexes. FSKD Jiawei Luo, Lingyao Yu, Qian Dang
2014	J	`jnl`	Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion. Bioinform. Yue Li, Cheng Liang, Ka-Chun Wong, Jiawei Luo, Zhaolei Zhang
2013	J	`jnl`	A comprehensive vulnerability based alert management approach for large networks. Future Gener. Comput. Syst. Humphrey Waita Njogu, Jiawei Luo, Jane Nduta Kiere, Damien Hanyurwimfura
2013	J	`jnl`	An effective algorithm for mining closed sequential patterns and their minimal generators based on prefix trees. Int. J. Intell. Inf. Database Syst. Thi-Thiet Pham, Jiawei Luo, Bay Vo
2013	—	`ch.`	Dimensionality Reduction by Turning Points for Stream Time Series Prediction. Advanced Methods for Computational Collective Intelligence Vo Van, Jiawei Luo, Bay Vo
2013	J	`jnl`	Network specific vulnerability based alert reduction approach. Secur. Commun. Networks Humphrey Waita Njogu, Jiawei Luo, Jane Nduta Kiere
2012	—	`conf`	MSGPs: A Novel Algorithm for Mining Sequential Generator Patterns. ICCCI (2) Thi-Thiet Pham, Jiawei Luo, Tzung-Pei Hong, Bay Vo
2011	—	`conf`	A Multigroup Parallel Genetic Algorithm for Multiple Sequence Alignment. AICI (1) Jiawei Luo, Li Zhang, Cheng Liang
2011	Misc	`conf`	An immune network approach with directed information for motif finding. ICNC Ke Mao, Jiawei Luo
2010	—	`conf`	A novel method of recognizing short coding sequences of human genes. BIC-TA Jiawei Luo, Yang Li, Jiachen Guo
2007	—	`conf`	A Method for Gene Identification by Dynamic Feature Choosing. HCI (12) Jiawei Luo, Li Yang, Xizhen Zhang
2007	J	`jnl`	New invariant of DNA sequence based on 3DD-curves and its application on phylogeny. J. Comput. Chem. Xizhen Zhang, Jiawei Luo, Li Yang