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2020 – today
- 2025
[j53]Bo-Wei Zhao
, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Guo-Dong Li, Peng-Wei Hu, Zhu-Hong You, Xin Luo, Lun Hu:
Regulation-aware graph learning for drug repositioning over heterogeneous biological network. Inf. Sci. 686: 121360 (2025)- 2024
- [j52]Pengwei Hu, Xun Deng, Feng Tan, Lun Hu:
Multi-Axis Attention with Convolution Parallel Block for Organoid Segmentation. IEEE CAA J. Autom. Sinica 11(5): 1295-1297 (2024) - [j51]Guodong Li, Bowei Zhao, Xiaorui Su, Dong-Xu Li, Yue Yang, Zhi Zeng, Lun Hu:
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, Lei Wang, Pengwei Hu, Leon Wong, Xiao-Rui Su, Bao-Quan Wang, Zhu-Hong You, Lun Hu:
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, Xiaorui Su, Bowei Zhao, GuoDong Li, Pengwei Hu, Jun Zhang, Lun Hu:
Fuzzy-Based Deep Attributed Graph Clustering. IEEE Trans. Fuzzy Syst. 32(4): 1951-1964 (2024) - [j48]Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, Pengwei Hu, Xi Zhou, Lun Hu:
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, Yi-Zhou He, Xiao-Rui Su, Yue Yang, Guo-Dong Li, Yu-An Huang, Peng-Wei Hu, Zhu-Hong You, Lun Hu:
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, Weicheng Sun, Jinsheng Xu, Lun Hu, Weihan Zhang, Ping Zhang:
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, Yue Yang, Xiao-Rui Su, Bo-Wei Zhao, Shengwu Xiong, Lun Hu:
Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularity. Briefings Bioinform. 24(1) (2023) - [j44]Bo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, Yu-An Huang, Zhu-Hong You, Lun Hu:
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, Hui Su, Lun Hu, Pengwei Hu:
A survey of transformer-based multimodal pre-trained modals. Neurocomputing 515: 89-106 (2023) - [j41]Jiajia Li, Xue Han, Yiming Qin, Feng Tan, Yulong Chen, Zikai Wang, Haitao Song, Xi Zhou, Yuan Zhang, Lun Hu, Pengwei Hu:
Artificial intelligence accelerates multi-modal biomedical process: A Survey. Neurocomputing 558: 126720 (2023) - [j40]Yang-Han Wu, Yu-An Huang, Jian-Qiang Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu, Victor C. M. Leung, Zhihua Du:
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, Yue Yang, Yizhou He, Jun Zhang, Lusheng Wang, Lun Hu:
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, Liwei Wang, Pengwei Hu, Lun Hu:
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, Yue Yang, Zehai Tang, Yizhou He, Xin Luo:
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, Pengwei Hu, Hai-Cheng Yi, Zhuhong You, Lun Hu:
Predicting Drug-Target Interactions Over Heterogeneous Information Network. IEEE J. Biomed. Health Informatics 27(1): 562-572 (2023) - [j35]Yue-Chao Li, Zhu-Hong You, Changqing Yu, Lei Wang, Leon Wong, Lun Hu, Pengwei Hu, Yu-An Huang:
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions. IEEE J. Biomed. Health Informatics 27(1): 573-582 (2023) - [c30]Xun Deng, Lun Hu, Zhu-Hong You, Peng-Wei Hu:
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, Chenhao Lin, Zikai Wang, Haitao Song, Feng Tan, Lun Hu, Pengwei Hu:
MLGL: Model-free Lesion Generation and Learning for Diabetic Retinopathy Diagnosis. BIBM 2023: 1266-1271 - [c27]Pengwei Hu, Chenhao Lin, Jiajia Li, Feng Tan, Xue Han, Xi Zhou, Lun Hu:
Making the Implicit Explicit: Depression Detection in Web across Posted Texts and Images. BIBM 2023: 4807-4811 - [c26]Xun Deng, Lun Hu, Zekun Jiang, Lu Liu, Peng-Wei Hu:
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, Jiajia Li, Yulong Chen, Zikai Wang, Yu-An Huang, Zhuhong You, Lun Hu, Pengwei Hu, Feng Tan:
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, Lun Hu, Zhu-Hong You, Lei Wang, Xiao-Rui Su:
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, Jie Chen, Gui-Qing Pan, Lun Hu, Zhu-Hong You, Jian-Qiang Li:
GraphTGI: an attention-based graph embedding model for predicting TF-target gene interactions. Briefings Bioinform. 23(3) (2022) - [j31]Xiao-Rui Su, Lun Hu, Zhuhong You, Pengwei Hu, Bo-Wei Zhao:
Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions. Briefings Bioinform. 23(3) (2022) - [j30]Han-Yuan Zhang, Lei Wang, Zhu-Hong You, Lun Hu, Bo-Wei Zhao, Zheng-Wei Li, Yang-Ming Li:
iGRLCDA: identifying circRNA-disease association based on graph representation learning. Briefings Bioinform. 23(3) (2022) - [j29]Bo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, Yu-Peng Ma, Xi Zhou, Lun Hu:
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, Qiang Chen, Liyuan Qiao, Le Du, Rui Ye:
Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network. Cogn. Comput. 14(5): 1599-1608 (2022) - [j24]Lun Hu, Shicheng Yang, Xin Luo, Huaqiang Yuan, Khaled Sedraoui, MengChu Zhou:
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, Shicheng Yang, Xin Luo, MengChu Zhou:
An Algorithm of Inductively Identifying Clusters From Attributed Graphs. IEEE Trans. Big Data 8(2): 523-534 (2022) - [j22]Xiangyu Pan, Lun Hu, Pengwei Hu, Zhu-Hong You:
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, Xiangyu Pan, Zehai Tang, Xin Luo:
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, Yue Zhou, Zhigang Liu, Lun Hu, MengChu Zhou:
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, Bo-Wei Zhao, Lun Hu, Pengwei Hu:
Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities. ICIC (1) 2022: 739-752 - [c17]Yue Yang, Xiaorui Su, Bowei Zhao, Yizhou He, Lun Hu:
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, Lun Hu, Leon Wong, Boya Ji, Bo-Wei Zhao:
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning. Appl. Soft Comput. 111: 107831 (2021) - [j18]Lun Hu, Xiaojuan Wang, Yu-An Huang, Pengwei Hu, Zhu-Hong You:
A survey on computational models for predicting protein-protein interactions. Briefings Bioinform. 22(5) (2021) - [j17]Lun Hu, Jun Zhang, Xiangyu Pan, Hong Yan, Zhu-Hong You:
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, Yuan Huang, Jing Mei, Henry Leung, Zhanheng Chen, Ze-min Kuang, Zhu-Hong You, Lun Hu:
Learning from low-rank multimodal representations for predicting disease-drug associations. BMC Medical Informatics Decis. Mak. 21(1): 308 (2021) - [j14]Lun Hu, Jun Zhang, Xiangyu Pan, Xin Luo, Huaqiang Yuan:
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, Lun Hu, Pengwei Hu:
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, Panwen Liu, Lun Hu, Chengming Zou, Zhangyu Cheng:
Energy-aware task scheduling with time constraint for heterogeneous cloud datacenters. Concurr. Comput. Pract. Exp. 32(18) (2020) - [j12]Lun Hu, Pengwei Hu, Xin Luo, Xiaohui Yuan, Zhu-Hong You:
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, Mengchu Zhou, Shuai Li, Lun Hu, Mingsheng Shang:
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, Keith C. C. Chan, Xiaohui Yuan, Shengwu Xiong:
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, Leon Wong:
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, Shaochun Li, Pengwei Hu, Zhuhong You:
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, Haiping Liu, Jing Peng, Xiaohui Yuan:
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, Xiaohui Yuan, Xing Liu, Shengwu Xiong, Xin Luo:
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, Lun Hu:
Predicting Hospital Readmission of Diabetics using Deep Forest. ICHI 2019: 1-2 - [c6]Pengwei Hu, Yu-An Huang, Zhuhong You, Shaochun Li, Keith C. C. Chan, Henry Leung, Lun Hu:
Learning from Deep Representations of Multiple Networks for Predicting Drug-Target Interactions. ICIC (2) 2019: 151-161 - [c5]Tao Wang, Hai-Cheng Yi, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang, Lun Hu, Leon Wong:
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, Lun Hu, Keith C. C. Chan, Pengwei Hu:
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, Lun Hu, Jing Peng:
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, Keith C. C. Chan:
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, Fanjing Kong, Baohui Liu, Xiaohui Yuan:
InDel marker detection by integration of multiple softwares using machine learning techniques. BMC Bioinform. 17: 548 (2016) - [j2]Lun Hu, Keith C. C. Chan:
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
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