default search action
Lun Hu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
- [j53]Bo-Wei Zhao
, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Guo-Dong Li
Regulation-aware graph learning for drug repositioning over heterogeneous biological network. Inf. Sci. 686: 121360 (2025) - 2024
- [j52]Pengwei Hu
Multi-Axis Attention with Convolution Parallel Block for Organoid Segmentation. IEEE CAA J. Autom. Sinica 11(5): 1295-1297 (2024) - [j51]Guodong Li
Learning Sequential and Structural Dependencies Between Nucleotides for RNA N6-Methyladenosine Site Identification. IEEE CAA J. Autom. Sinica 11(10): 2123-2134 (2024) - [j50]Bo-Wei Zhao
Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning. IEEE Trans. Emerg. Top. Comput. 12(1): 163-176 (2024) - [j49]Yue Yang
Fuzzy-Based Deep Attributed Graph Clustering. IEEE Trans. Fuzzy Syst. 32(4): 1951-1964 (2024) - [j48]Guodong Li
Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering. IEEE J. Biomed. Health Informatics 28(4): 2362-2372 (2024) - [j47]Bo-Wei Zhao
Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network. IEEE J. Biomed. Health Informatics 28(7): 4281-4294 (2024) - [c33]Xiaorui Su, Pengwei Hu, Zhu-Hong You, Philip S. Yu, Lun Hu:
Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer. AAAI 2024: 249-256 - [c32]Yifan Yao, Ze-min Kuang, Xiwen Yang, Baoquan Wang, Zhaomeng Niu, Jiaxin Yang, Lun Hu, Xi Zhou, Pengwei Hu:
IDHPre: Intradialytic Hypotension Prediction Model Based on Fully Observed Features. ICIC (LNBI 1) 2024: 99-110 - [c31]Zimai Zhang, Bo-Wei Zhao, Yu-An Huang, Zhu-Hong You, Lun Hu, Xi Zhou, Pengwei Hu:
GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention. ICIC (LNBI 1) 2024: 263-275 - 2023
- [j46]Guodong Li
GA-ENs: A novel drug-target interactions prediction method by incorporating prior Knowledge Graph into dual Wasserstein Generative Adversarial Network with gradient penalty. Appl. Soft Comput. 139: 110151 (2023) - [j45]Yi-Zhou He
Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularity. Briefings Bioinform. 24(1) (2023) - [j44]Bo-Wei Zhao
iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network. Bioinform. 39(8) (2023) - [j43]Dong-Xu Li, Peng Zhou, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Jun Zhang, Peng-Wei Hu, Lun Hu:
Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks. BMC Bioinform. 24(1): 451 (2023) - [j42]Xue Han, Yitong Wang, Junlan Feng, Chao Deng, Zhan-Heng Chen, Yu-An Huang
A survey of transformer-based multimodal pre-trained modals. Neurocomputing 515: 89-106 (2023) - [j41]Jiajia Li
Artificial intelligence accelerates multi-modal biomedical process: A Survey. Neurocomputing 558: 126720 (2023) - [j40]Yang-Han Wu, Yu-An Huang
Knowledge graph embedding for profiling the interaction between transcription factors and their target genes. PLoS Comput. Biol. 19(6) (2023) - [j39]Xiaojuan Wang, Wen Yang
PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1606-1612 (2023) - [j38]Xin Luo
Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3182-3194 (2023) - [j37]Lun Hu
FCAN-MOPSO: An Improved Fuzzy-Based Graph Clustering Algorithm for Complex Networks With Multiobjective Particle Swarm Optimization. IEEE Trans. Fuzzy Syst. 31(10): 3470-3484 (2023) - [j36]Xiao-Rui Su
Predicting Drug-Target Interactions Over Heterogeneous Information Network. IEEE J. Biomed. Health Informatics 27(1): 562-572 (2023) - [j35]Yue-Chao Li
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions. IEEE J. Biomed. Health Informatics 27(1): 573-582 (2023) - [c30]Xun Deng
CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection Model. BIBM 2023: 1068-1073 - [c29]Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, Pengwei Hu, Lun Hu:
Learning RNA sequence patterns to interpretably identify m6A modification sites. BIBM 2023: 1248-1253 - [c28]Jiajia Li
MLGL: Model-free Lesion Generation and Learning for Diabetic Retinopathy Diagnosis. BIBM 2023: 1266-1271 - [c27]Pengwei Hu, Chenhao Lin, Jiajia Li
Making the Implicit Explicit: Depression Detection in Web across Posted Texts and Images. BIBM 2023: 4807-4811 - [c26]Xun Deng
A contactless automated dynamic monitoring method for organoid morphology on the time axis. ICDM (Workshops) 2023: 412-417 - [c25]Dongxu Li, Bowei Zhao, Xiaorui Su, Guodong Li, Yue Yang, Pengwei Hu, Lun Hu:
Drug Repositioning Method Based on Pre-trained Large Model and Network Embedding Representation. ICDM (Workshops) 2023: 418-423 - [c24]Bo-Wei Zhao, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Peng-Wei Hu, Zhu-Hong You, Lun Hu:
Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information Network. ICIC (3) 2023: 156-167 - [c23]Dong-Xu Li, Xun Deng, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu:
A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks. ICIC (3) 2023: 180-191 - [c22]Yuan Zhang, Zhengbo Zhang, Xiaoli Liu, Lei Zha, Fengcong, Xiaorui Su, Bowei Zhao, Lun Hu, Pengwei Hu:
A Deep Learning Approach Incorporating Data Missing Mechanism in Predicting Acute Kidney Injury in ICU. ICIC (3) 2023: 335-346 - [c21]Yiming Qin
TransOrga: End-To-End Multi-modal Transformer-Based Organoid Segmentation. ICIC (3) 2023: 460-472 - 2022
- [j34]Xiao-Rui Su, Lun Hu, Zhuhong You, Pengwei Hu, Lei Wang, Bo-Wei Zhao:
A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2. Briefings Bioinform. 23(1) (2022) - [j33]Bo-Wei Zhao
HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks. Briefings Bioinform. 23(1) (2022) - [j32]Zhihua Du, Yang-Han Wu, Yu-An Huang
GraphTGI: an attention-based graph embedding model for predicting TF-target gene interactions. Briefings Bioinform. 23(3) (2022) - [j31]Xiao-Rui Su, Lun Hu
Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions. Briefings Bioinform. 23(3) (2022) - [j30]Han-Yuan Zhang
iGRLCDA: identifying circRNA-disease association based on graph representation learning. Briefings Bioinform. 23(3) (2022) - [j29]Bo-Wei Zhao
A geometric deep learning framework for drug repositioning over heterogeneous information networks. Briefings Bioinform. 23(6) (2022) - [j28]Xiao-Rui Su, Lun Hu, Zhu-Hong You, Pengwei Hu, Bo-Wei Zhao:
Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction. BMC Bioinform. 23(1): 234 (2022) - [j27]Lun Hu, Zhenfeng Li, Zehai Tang, Cheng Zhao, Xi Zhou, Pengwei Hu:
Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach. BMC Bioinform. 23(1): 447 (2022) - [j26]Menglong Zhang, Bo-Wei Zhao, Xiao-Rui Su, Yi-Zhou He, Yue Yang, Lun Hu:
RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction. BMC Bioinform. 23(1): 516 (2022) - [j25]Lun Hu
Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network. Cogn. Comput. 14(5): 1599-1608 (2022) - [j24]Lun Hu
A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce. IEEE CAA J. Autom. Sinica 9(1): 160-172 (2022) - [j23]Lun Hu
An Algorithm of Inductively Identifying Clusters From Attributed Graphs. IEEE Trans. Big Data 8(2): 523-534 (2022) - [j22]Xiangyu Pan, Lun Hu
Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2882-2893 (2022) - [j21]Lun Hu
A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method. IEEE Trans. Fuzzy Syst. 30(9): 3473-3485 (2022) - [j20]Xin Luo
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis. IEEE Trans. Serv. Comput. 15(5): 2809-2823 (2022) - [c20]Menglong Zhang, Bo-Wei Zhao, Lun Hu, Zhu-Hong You, Zhan-Heng Chen:
Predicting Drug-Disease Associations via Meta-path Representation Learning based on Heterogeneous Information Net works. ICIC (2) 2022: 220-232 - [c19]Bo-Wei Zhao, Lun Hu, Pengwei Hu, Zhu-Hong You, Xiao-Rui Su, Dong-Xu Li, Zhan-Heng Chen, Ping Zhang:
MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction. ICIC (2) 2022: 451-459 - [c18]Yuan Zhang, David Koepke, Bibo Hao, Jing Mei, Xu Min, Rachna Gupta, Rajashree Joshi, Fiona McNaughton, Zhan-Heng Chen
Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities. ICIC (1) 2022: 739-752 - [c17]Yue Yang
A Novel Fuzzy-Based MOPSO Algorithm for Identifying Clusters From Complex Networks. ICTAI 2022: 1126-1131 - 2021
- [j19]Xiao-Rui Su, Zhuhong You, Lei Wang
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning. Appl. Soft Comput. 111: 107831 (2021) - [j18]Lun Hu
A survey on computational models for predicting protein-protein interactions. Briefings Bioinform. 22(5) (2021) - [j17]Lun Hu
HiSCF: leveraging higher-order structures for clustering analysis in biological networks. Bioinform. 37(4): 542-550 (2021) - [j16]Lun Hu, Xiangyu Pan, Hong Yan, Pengwei Hu, Tiantian He
Exploiting higher-order patterns for community detection in attributed graphs. Integr. Comput. Aided Eng. 28(2): 207-218 (2021) - [j15]Pengwei Hu
Learning from low-rank multimodal representations for predicting disease-drug associations. BMC Medical Informatics Decis. Mak. 21(1): 308 (2021) - [j14]Lun Hu
An Effective Link-Based Clustering Algorithm for Detecting Overlapping Protein Complexes in Protein-Protein Interaction Networks. IEEE Trans. Netw. Sci. Eng. 8(4): 3275-3289 (2021) - [c16]Lun Hu, Xiangyu Pan, Xin Luo:
Incorporating Generalized Momentum Method to Accelerate Clustering Analysis of Complex Networks. CASE 2021: 2051-2056 - [c15]Zhenfeng Li, Pengwei Hu, Lun Hu:
An Ensemble Learning Algorithm for Predicting HIV-1 Protease Cleavage Sites. ICIC (3) 2021: 509-521 - [c14]Bo-Wei Zhao, Zhu-Hong You, Lun Hu, Leon Wong, Bo-Ya Ji, Ping Zhang
A Multi-graph Deep Learning Model for Predicting Drug-Disease Associations. ICIC (3) 2021: 580-590 - [c13]Xue Han, Qing Wang, Zhan-Heng Chen
OnSum: Extractive Single Document Summarization Using Ordered Neuron LSTM. ICIC (2) 2021: 605-615 - [c12]Lun Hu, Bo-Wei Zhao, Shicheng Yang, Xin Luo, MengChu Zhou:
Predicting Large-scale Protein-protein Interactions by Extracting Coevolutionary Patterns with MapReduce Paradigm. SMC 2021: 939-944 - 2020
- [j13]Xing Liu
Energy-aware task scheduling with time constraint for heterogeneous cloud datacenters. Concurr. Comput. Pract. Exp. 32(18) (2020) - [j12]Lun Hu
Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 2017-2028 (2020) - [j11]Xin Luo
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications. IEEE Trans. Cybern. 50(5): 1844-1855 (2020) - [j10]Lun Hu
A Variational Bayesian Framework for Cluster Analysis in a Complex Network. IEEE Trans. Knowl. Data Eng. 32(11): 2115-2128 (2020) - [c11]Han-Jing Jiang, Zhu-Hong You, Lun Hu, Zhen-Hao Guo, Bo-Ya Ji
A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations. ICIC (3) 2020: 271-279 - [c10]Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng
Embracing Disease Progression with a Learning System for Real World Evidence Discovery. ICIC (2) 2020: 524-534 - [c9]Xiaojuan Wang, Pengwei Hu, Lun Hu:
A Novel Stochastic Block Model for Network-Based Prediction of Protein-Protein Interactions. ICIC (2) 2020: 621-632 - [c8]Zhenfeng Li, Lun Hu:
The identification of variable-length coevolutionary patterns for predicting HIV-1 protease cleavage sites. SMC 2020: 4192-4197
2010 – 2019
- 2019
- [j9]Yangjing Gan, Yi Rong, Fei Huang, Lun Hu, Xiaohan Yu, Pengfei Duan, Shengwu Xiong
Automatic hierarchy classification in venation networks using directional morphological filtering for hierarchical structure traits extraction. Comput. Biol. Chem. 80: 187-194 (2019) - [j8]Lun Hu
Efficiently Detecting Protein Complexes from Protein Interaction Networks via Alternating Direction Method of Multipliers. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1922-1935 (2019) - [c7]Pengwei Hu, Shaochun Li, Yu-An Huang
Predicting Hospital Readmission of Diabetics using Deep Forest. ICHI 2019: 1-2 - [c6]Pengwei Hu, Yu-An Huang
Learning from Deep Representations of Multiple Networks for Predicting Drug-Target Interactions. ICIC (2) 2019: 151-161 - [c5]Tao Wang, Hai-Cheng Yi
A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel. ICIC (2) 2019: 344-353 - [c4]Lun Hu, Shicheng Yang:
A fast algorithm to identify coevolutionary patterns from protein sequences based on tree-based data structure. SMC 2019: 2273-2278 - 2018
- [j7]Tiantian He
Learning Latent Factors for Community Identification and Summarization. IEEE Access 6: 30137-30148 (2018) - [j6]Wenhui Xing, Junsheng Qi, Xiaohui Yuan, Lin Li, Xiaoyu Zhang, Yuhua Fu, Shengwu Xiong
A gene-phenotype relationship extraction pipeline from the biomedical literature using a representation learning approach. Bioinform. 34(13): i386-i394 (2018) - 2017
- [j5]Lun Hu, Xiaohui Yuan, Pengwei Hu, Keith C. C. Chan
Efficiently predicting large-scale protein-protein interactions using MapReduce. Comput. Biol. Chem. 69: 202-206 (2017) - [j4]Lun Hu
Extracting Coevolutionary Features from Protein Sequences for Predicting Protein-Protein Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 14(1): 155-166 (2017) - [c3]Ying He, Xiaohan Yu, Yangjing Gan, Tujin Zhu, Shengwu Xiong, Jing Peng, Lun Hu, Guang Xu, Xiaohui Yuan:
Bar charts detection and analysis in biomedical literature of PubMed Central. AMIA 2017 - [c2]Pengwei Hu, Keith C. C. Chan, Lun Hu, Henry Leung:
Discovering second-order sub-structure associations in drug molecules for side-effect prediction. BIBM 2017: 2250-2253 - [c1]Lun Hu, Xiaohui Yuan, Shengwu Xiong
Identifying overlapping protein complexes in yeast protein interaction network via fuzzy clustering. FUZZ-IEEE 2017: 1-6 - 2016
- [j3]Jianqiu Yang, Xinyi Shi, Lun Hu, Daipeng Luo, Jing Peng, Shengwu Xiong
InDel marker detection by integration of multiple softwares using machine learning techniques. BMC Bioinform. 17: 548 (2016) - [j2]Lun Hu
Fuzzy Clustering in a Complex Network Based on Content Relevance and Link Structures. IEEE Trans. Fuzzy Syst. 24(2): 456-470 (2016) - 2015
- [j1]Lun Hu, Keith C. C. Chan
A density-based clustering approach for identifying overlapping protein complexes with functional preferences. BMC Bioinform. 16: 174:1-174:16 (2015)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-24 20:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: