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ORCIDJiawei Luo 0001
Person information
- affiliation: Hunan University, Changsha, China
Other persons with the same name
- Jiawei Luo — disambiguation page
- Jiawei Luo 0002
![[0000-0003-1617-3224]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1617-3224")
— Sichuan University, West China School of Medicine, Chengdu, China - Jiawei Luo 0003 — East China Jiaotong University, Nanchang, China (and 1 more)
- Jiawei Luo 0004 — University of Electronic Science and Technology of China, Chengdu, China
- Jiawei Luo 0005 — Keio University, Yokohama, Japan
- Jiawei Luo 0006 — Dalian University of Science and Technology, Dalian, China
- Jiawei Luo 0007 — Beijing University of Technology, Beijing, China
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2020 – today
- 2023
[j74]Yezi He, Xiangtao Chen, Nguyen Hoang Tu, Jiawei Luo:
Deep Multi-Constraint Soft Clustering Analysis for Single-Cell RNA-Seq Data via Zero-Inflated Autoencoder Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2254-2265 (2023)- [i3]Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia:
Torsion Graph Neural Networks. CoRR abs/2306.13541 (2023) - [i2]Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia:
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. CoRR abs/2306.13699 (2023) - [i1]Cong Shen, Jiawei Luo, Kelin Xia:
Molecular geometric deep learning. CoRR abs/2306.15065 (2023) - 2022
- [j73]Qiu Xiao, Jianhua Dai, Jiawei Luo:
A survey of circular RNAs in complex diseases: databases, tools and computational methods. Briefings Bioinform. 23(1) (2022) - [j72]Shengpeng Yu, Hong Wang, Tianyu Liu, Cheng Liang, Jiawei Luo:
A knowledge-driven network for fine-grained relationship detection between miRNA and disease. Briefings Bioinform. 23(3) (2022) - [j71]Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li:
Pre-training graph neural networks for link prediction in biomedical networks. Bioinform. 38(8): 2254-2262 (2022) - [j70]Zhongyuan Xu, Jiawei Luo, Zehao Xiong:
scSemiGAN: a single-cell semi-supervised annotation and dimensionality reduction framework based on generative adversarial network. Bioinform. 38(22): 5042-5048 (2022) - [j69]Guanghui Li, Tao Fang, Yuejin Zhang, Cheng Liang, Qiu Xiao, Jiawei Luo:
Predicting miRNA-disease associations based on graph attention network with multi-source information. BMC Bioinform. 23(1): 244 (2022) - [j68]Guanghui Li, Yawei Lin, Jiawei Luo, Qiu Xiao, Cheng Liang:
GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning. Comput. Biol. Chem. 99: 107722 (2022) - [j67]Ying Liu, Ruihui Li, Jiawei Luo, Zhaolei Zhang:
Inferring RNA-binding protein target preferences using adversarial domain adaptation. PLoS Comput. Biol. 18(2) (2022) - [j66]Pei Liu, Jiawei Luo, Xiangtao Chen:
miRCom: Tensor Completion Integrating Multi-View Information to Deduce the Potential Disease-Related miRNA-miRNA Pairs. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1747-1759 (2022) - [j65]Jiawei Luo, Yi Liu, Pei Liu, Zihan Lai, Hao Wu:
Data Integration Using Tensor Decomposition for the Prediction of miRNA-Disease Associations. IEEE J. Biomed. Health Informatics 26(5): 2370-2378 (2022) - [j64]Jiawei Luo, Wenjue Ouyang, Cong Shen, Jie Cai:
Multi-Relation Graph Embedding for Predicting miRNA-Target Gene Interactions by Integrating Gene Sequence Information. IEEE J. Biomed. Health Informatics 26(8): 4345-4353 (2022) - [c30]Zehao Xiong, Xiangtao Chen, Jiawei Luo, Cong Shen, Zhongyuan Xu:
scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis. BIBM 2022: 178-181 - [c29]Jiawei Luo, Weilan Qu, Xiaobo Yang, Hongbo Jiang, Yan Xia, Guanghua Tan:
An Enabling-Oriented Blended Teaching and Learning Ecosystem - Take the Data Structure and Algorithm Course as an Example. ICCSE (3) 2022: 471-480 - 2021
- [j63]Weidun Xie, Jiawei Luo, Chu Pan, Ying Liu:
SG-LSTM-FRAME: a computational frame using sequence and geometrical information via LSTM to predict miRNA-gene associations. Briefings Bioinform. 22(2): 2032-2042 (2021) - [j62]Qiu Xiao, Ning Zhang, Jiawei Luo, Jianhua Dai, Xiwei Tang:
Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs. Briefings Bioinform. 22(2): 2043-2057 (2021) - [j61]Yahui Long, Jiawei Luo, Yu Zhang, Yan Xia:
Predicting human microbe-disease associations via graph attention networks with inductive matrix completion. Briefings Bioinform. 22(3) (2021) - [j60]Xinru Tang, Jiawei Luo, Cong Shen, Zihan Lai:
Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction. Briefings Bioinform. 22(6) (2021) - [j59]Qiu Xiao, Yu Fu, Yide Yang, Jianhua Dai, Jiawei Luo:
NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning. Briefings Bioinform. 22(6) (2021) - [j58]Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Xiangtao Chen:
IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors. Bioinform. 36(22-23): 5481-5491 (2021) - [j57]Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Graph contextualized attention network for predicting synthetic lethality in human cancers. Bioinform. 37(16): 2432-2440 (2021) - [j56]Cheng Liang, Mingchao Shang, Jiawei Luo:
Cancer subtype identification by consensus guided graph autoencoders. Bioinform. 37(24): 4779-4786 (2021) - [j55]Buwen Cao, Shuguang Deng, Hua Qin, Jiawei Luo, Guanghui Li, Cheng Liang:
Inferring MicroRNA-Disease Associations Based on the Identification of a Functional Module. J. Comput. Biol. 28(1): 33-42 (2021) - [j54]Pingjian Ding, Cheng Liang, Wenjue Ouyang, Guanghui Li, Qiu Xiao, Jiawei Luo:
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1562-1571 (2021) - [j53]Jiawei Luo, Cong Shen, Zihan Lai, Jie Cai, Pingjian Ding:
Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2535-2545 (2021) - [j52]Yahui Long, Jiawei Luo:
Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation. IEEE J. Biomed. Health Informatics 25(1): 266-275 (2021) - [c28]Jiawei Luo, Zihan Lai, Cong Shen, Pei Liu, Heyuan Shi:
Graph Attention Mechanism-based Deep Tensor Factorization for Predicting disease-associated miRNA-miRNA pairs. BIBM 2021: 189-196 - [c27]Boya Ji, Jiawei Luo, Liangrui Pan, Xiaolan Xie, Shaoliang Peng:
DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning. BIBM 2021: 406-411 - [c26]Yi Liu, Jiawei Luo, Hao Wu:
miRNA-Disease Associations Prediction Based on Neural Tensor Decomposition. ICIC (3) 2021: 312-323 - 2020
- [j51]Pingjian Ding, Wenjue Ouyang, Jiawei Luo, Chee-Keong Kwoh:
Heterogeneous information network and its application to human health and disease. Briefings Bioinform. 21(4): 1327-1346 (2020) - [j50]Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Predicting human microbe-drug associations via graph convolutional network with conditional random field. Bioinform. 36(19): 4918-4927 (2020) - [j49]Guanghui Li, Jiawei Luo, Diancheng Wang, Cheng Liang, Qiu Xiao, Pingjian Ding, Hailin Chen:
Potential circRNA-disease association prediction using DeepWalk and network consistency projection. J. Biomed. Informatics 112: 103624 (2020) - [j48]Pingjian Ding, Cong Shen, Zihan Lai, Cheng Liang, Guanghui Li, Jiawei Luo:
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization. J. Chem. Inf. Model. 60(1): 37-46 (2020) - [j47]Cong Shen, Jiawei Luo, Zihan Lai, Pingjian Ding:
Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge. J. Chem. Inf. Model. 60(8): 4085-4097 (2020) - [j46]Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Hao Wu:
Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks. J. Chem. Inf. Model. 60(12): 6709-6721 (2020) - [j45]Chu Pan, Jiawei Luo, Jiao Zhang, Xin Li:
BiModule: Biclique Modularity Strategy for Identifying Transcription Factor and microRNA Co-Regulatory Modules. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 321-326 (2020) - [j44]Qiu Xiao, Jiawei Luo, Cheng Liang, Guanghui Li, Jie Cai, Pingjian Ding, Ying Liu:
Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 623-634 (2020) - [j43]Jiawei Luo, Yahui Long:
NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1341-1351 (2020) - [j42]Chu Pan, Jiawei Luo, Jiao Zhang:
Computational Identification of RNA-Seq Based miRNA-Mediated Prognostic Modules in Cancer. IEEE J. Biomed. Health Informatics 24(2): 626-633 (2020) - [c25]Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. BIBM 2020: 455-459 - [c24]Jiameng Liu, Shaoliang Peng, Jiawei Luo, Zhuo Tang, Hao Liu:
Segmented Encryption: A Quality and Safety Supervisory Model for Herbal Medicine Based on Blockchain Technology. HealthCom 2020: 1-6 - [c23]Wei Wang, Jiawei Luo, Cong Shen, Nguyen Hoang Tu:
A Graph Convolutional Matrix Completion Method for miRNA-Disease Association Prediction. ICIC (2) 2020: 201-215
2010 – 2019
- 2019
- [j41]Guanghui Li, Jiawei Luo, Cheng Liang, Qiu Xiao, Pingjian Ding, Yuejin Zhang:
Prediction of LncRNA-Disease Associations Based on Network Consistency Projection. IEEE Access 7: 58849-58856 (2019) - [j40]Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Guanghui Li, Buwen Cao:
CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer. BMC Bioinform. 20(1): 67:1-67:13 (2019) - [j39]Yahui Long, Jiawei Luo:
WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network. BMC Bioinform. 20(1): 541:1-541:18 (2019) - [j38]Qiu Xiao, Jianhua Dai, Jiawei Luo, Hamido Fujita:
Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs. Knowl. Based Syst. 175: 118-129 (2019) - [j37]Cheng Liang, Shengpeng Yu, Jiawei Luo:
Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs. PLoS Comput. Biol. 15(4) (2019) - [j36]Jiawei Luo, Chu Pan, Gen Xiang, Ying Yin:
A Novel Cluster-Based Computational Method to Identify miRNA Regulatory Modules. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 681-687 (2019) - [j35]Ying Liu, Jiawei Luo, Pingjian Ding:
Inferring MicroRNA Targets Based on Restricted Boltzmann Machines. IEEE J. Biomed. Health Informatics 23(1): 427-436 (2019) - [j34]Pingjian Ding, Rui Yin, Jiawei Luo, Chee Keong Kwoh:
Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge. IEEE J. Biomed. Health Informatics 23(3): 1336-1345 (2019) - [j33]Qiu Xiao, Jiawei Luo, Jianhua Dai:
Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework. IEEE J. Biomed. Health Informatics 23(6): 2661-2669 (2019) - [c22]Ruinan Nie, Jiawei Luo, Hoang Tu Nguyen:
Co-Regulatory Functional Module Detection Based on Affinity Propagation and Neighborhood Inflation. HPCC/SmartCity/DSS 2019: 877-884 - [c21]Mingming Sun, Jiawei Luo, Nguyen Hoang Tu:
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 2019: 1603-1610 - [c20]Degui Xiao, Kenli Li, Jiawei Luo, Zhiyong Li:
A Full-chain Innovation Ecological Environment for Postgraduate Education. ICCSE 2019: 820-825 - [c19]Wenhe Zhao, Jiawei Luo, Tu Hoang Nguyen:
A Novel Framework for Improving the Prediction of Disease-Associated MicroRNAs. ICIC (2) 2019: 127-137 - [c18]Jie Cai, Wei Huang, Sheng Yang, Shulin Wang, Jiawei Luo:
A Selection Method for Denoising Auto Encoder Features Using Cross Entropy. ICIC (3) 2019: 479-490 - 2018
- [j32]Jiawei Luo, Lv Ding, Cheng Liang, Tu Hoang Nguyen:
An Efficient Network Motif Discovery Approach for Co-Regulatory Networks. IEEE Access 6: 14151-14158 (2018) - [j31]Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Pingjian Ding:
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. Bioinform. 34(2): 239-248 (2018) - [j30]Jiawei Luo, Pingjian Ding, Cheng Liang, Xiangtao Chen:
Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks. Neurocomputing 294: 29-38 (2018) - [j29]Jie Cai, Jiawei Luo, Shulin Wang, Sheng Yang:
Feature selection in machine learning: A new perspective. Neurocomputing 300: 70-79 (2018) - [j28]Pingjian Ding, Jiawei Luo, Cheng Liang, Qiu Xiao, Buwen Cao:
Human disease MiRNA inference by combining target information based on heterogeneous manifolds. J. Biomed. Informatics 80: 26-36 (2018) - [j27]Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding:
Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity. J. Biomed. Informatics 82: 169-177 (2018) - [j26]Buwen Cao, Shuguang Deng, Jiawei Luo, Pingjian Ding, Shulin Wang:
Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks. J. Intell. Fuzzy Syst. 34(1): 93-103 (2018) - [j25]Guanghui Li, Jiawei Luo, Zheng Xiao, Cheng Liang:
MTMO: an efficient network-centric algorithm for subtree counting and enumeration. Quant. Biol. 6(2): 142-154 (2018) - [j24]Jiawei Luo, Wei Huang, Buwen Cao:
A Novel Approach to Identify the miRNA-mRNA Causal Regulatory Modules in Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 15(1): 309-315 (2018) - [c17]Jiawei Luo, Ying Yin:
RMCL-ESA: A Novel Method to Detect Co-regulatory Functional Modules in Cancer. ICIC (2) 2018: 840-846 - [c16]Qiao Zhu, Jiawei Luo, Pingjian Ding, Qiu Xiao:
GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network. ISBRA 2018: 13-25 - 2017
- [j23]Pingjian Ding, Jiawei Luo, Cheng Liang, Jie Cai, Ying Liu, Xiangtao Chen:
A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity. IEEE Access 5: 2364-2372 (2017) - [j22]Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding:
Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data. IEEE Access 5: 2503-2513 (2017) - [j21]Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding, Buwen Cao:
Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk. IEEE Access 5: 24032-24039 (2017) - [j20]Zhiming Liu, Jiawei Luo:
Genome-wide predicting disease-related protein complexes by walking on the heterogeneous network based on data integration and laplacian normalization. Comput. Biol. Chem. 69: 41-47 (2017) - [j19]Jiawei Luo, Qiu Xiao:
A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network. J. Biomed. Informatics 66: 194-203 (2017) - [j18]Amiyne Zakouni, Jiawei Luo, Fouad Kharroubi:
Genetic algorithm and tabu search algorithm for solving the static manycast RWA problem in optical networks. J. Comb. Optim. 33(2): 726-741 (2017) - [j17]Jiawei Luo, Pingjian Ding, Cheng Liang, Buwen Cao, Xiangtao Chen:
Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1468-1475 (2017) - [c15]Jie Cai, Shilong Chao, Sheng Yang, Shulin Wang, Jiawei Luo:
Feature Selection Based on Density Peak Clustering Using Information Distance Measure. ICIC (2) 2017: 125-131 - [c14]Hai Jiang, Xianyi Zhu, Yi Xiao, Jiawei Luo, Yan Zheng:
GPU-Accelerated Histogram Generation on Smart-Phone and Webbrowser. SpaCCS Workshops 2017: 128-136 - 2016
- [j16]Jiawei Luo, Dingyu Lin, Buwen Cao:
A cell-core-attachment approach for identifying protein complexes in yeast protein-protein interaction network. J. Intell. Fuzzy Syst. 31(2): 967-978 (2016) - [j15]Cheng Liang, Yue Li, Jiawei Luo:
A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging. IEEE ACM Trans. Comput. Biol. Bioinform. 13(3): 549-556 (2016) - [j14]Yi Qi, Jiawei Luo:
Prediction of Essential Proteins Based on Local Interaction Density. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1170-1182 (2016) - [c13]Amiyne Zakouni, Jiawei Luo, Fouad Kharroubi:
Solving the Static Manycast RWA Problem in Optical Networks Using Evolutionary Programming. ICIC (2) 2016: 147-157 - [c12]Jiawei Luo, Bin Liu, Buwen Cao, Shulin Wang:
Identifying miRNA-mRNA Regulatory Modules Based on Overlapping Neighborhood Expansion from Multiple Types of Genomic Data. ICIC (1) 2016: 234-246 - [c11]Jiawei Luo, Di Dai, Buwen Cao, Ying Yin:
Inferring human miRNA functional similarity based on gene ontology annotations. ICNC-FSKD 2016: 1407-1413 - [c10]Amiyne Zakouni, Jiawei Luo, Fouad Kharroubi:
Random optimization algorithm for solving the static manycast RWA problem in optical WDM networks. ICTC 2016: 640-645 - [c9]Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang:
Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation. IJCNN 2016: 1244-1252 - 2015
- [j13]Cheng Liang, Yue Li, Jiawei Luo, Zhaolei Zhang:
A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human. Bioinform. 31(14): 2348-2355 (2015) - [j12]Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang, Dan Song:
MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm. Comput. Biol. Chem. 58: 173-181 (2015) - [j11]Jiawei Luo, Juan Wu:
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. 12(3): 257-274 (2015) - [j10]Jiawei Luo, Shiyu Liang:
Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data. J. Biomed. Informatics 53: 229-236 (2015) - [c8]Jiawei Luo, Dingyu Lin:
A cell-core-attachment approach for identifying protein complexes in PPI network. ICNC 2015: 405-412 - [c7]Jiawei Luo, Chengchen Liu, Tu Hoang Nguyen:
A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks. PAKDD (2) 2015: 228-239 - 2014
- [j9]Yue Li, Cheng Liang, Ka-Chun Wong, Jiawei Luo, Zhaolei Zhang:
Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion. Bioinform. 30(18): 2627-2635 (2014) - [j8]Jiawei Luo, Ling Kuang:
A new method for predicting essential proteins based on dynamic network topology and complex information. Comput. Biol. Chem. 52: 34-42 (2014) - [j7]Thi-Thiet Pham, Jiawei Luo, Tzung-Pei Hong:
An efficient algorithm for mining sequential generator pattern using prefix trees and hash tables. Int. J. Intell. Syst. Technol. Appl. 13(3): 157-169 (2014) - [j6]Tu Hoang Nguyen, Jiawei Luo, Humphrey Waita Njogu:
An efficient approach to reduce alerts generated by multiple IDS products. Int. J. Netw. Manag. 24(3): 153-180 (2014) - [j5]Hongli Lin, Xuedong Yang, Weisheng Wang, Jiawei Luo:
A Performance Weighted Collaborative Filtering algorithm for personalized radiology education. J. Biomed. Informatics 51: 107-113 (2014) - [c6]Jiawei Luo, Lingyao Yu, Qian Dang:
Exploring the application of gene ontology semantic similarity measure for identifying protein complexes. FSKD 2014: 502-507 - 2013
- [j4]Humphrey Waita Njogu, Jiawei Luo, Jane Nduta Kiere, Damien Hanyurwimfura:
A comprehensive vulnerability based alert management approach for large networks. Future Gener. Comput. Syst. 29(1): 27-45 (2013) - [j3]Thi-Thiet Pham, Jiawei Luo, Bay Vo:
An effective algorithm for mining closed sequential patterns and their minimal generators based on prefix trees. Int. J. Intell. Inf. Database Syst. 7(4): 324-339 (2013) - [j2]Humphrey Waita Njogu, Jiawei Luo, Jane Nduta Kiere:
Network specific vulnerability based alert reduction approach. Secur. Commun. Networks 6(1): 15-27 (2013) - [p1]Vo Van, Jiawei Luo, Bay Vo:
Dimensionality Reduction by Turning Points for Stream Time Series Prediction. Advanced Methods for Computational Collective Intelligence 2013: 167-176 - 2012
- [c5]Thi-Thiet Pham, Jiawei Luo, Tzung-Pei Hong, Bay Vo:
MSGPs: A Novel Algorithm for Mining Sequential Generator Patterns. ICCCI (2) 2012: 393-401 - 2011
- [c4]Jiawei Luo, Li Zhang, Cheng Liang:
A Multigroup Parallel Genetic Algorithm for Multiple Sequence Alignment. AICI (1) 2011: 308-316 - [c3]Ke Mao, Jiawei Luo:
An immune network approach with directed information for motif finding. ICNC 2011: 1611-1615 - 2010
- [c2]Jiawei Luo, Yang Li, Jiachen Guo:
A novel method of recognizing short coding sequences of human genes. BIC-TA 2010: 152-156
2000 – 2009
- 2007
- [j1]Xizhen Zhang, Jiawei Luo, Li Yang:
New invariant of DNA sequence based on 3DD-curves and its application on phylogeny. J. Comput. Chem. 28(14): 2342-2346 (2007) - [c1]Jiawei Luo, Li Yang, Xizhen Zhang:
A Method for Gene Identification by Dynamic Feature Choosing. HCI (12) 2007: 678-683