Lun Hu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 84

Top Topics

Graph Representation

Complex Networks

Clustering Algorithm

Top Venues

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Bo-Wei Zhao, Lei Wang, Peng-Wei 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) (2024)
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) (2024)
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) (2024)
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)
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) (2024)
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) (2024)
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)
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)
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) (2023)
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)
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)
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)
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) (2023)
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 (2023)
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)
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 (2023)
Yue-Chao Li, Zhu-Hong You, Changqing Yu, Lei Wang, Leon Wong, Lun Hu, Peng-Wei Hu, Yu-An Huang
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions. IEEE J. Biomed. Health Informatics 27 (1) (2023)
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) (2023)
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) (2023)
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)
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) (2023)
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)
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)
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)
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)
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)
Xun Deng, Lun Hu, Zhu-Hong You, Peng-Wei Hu
CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection Model. BIBM (2023)
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)
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 (2023)
Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, Pengwei Hu, Lun Hu
Learning RNA sequence patterns to interpretably identify m6A modification sites. BIBM (2023)
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)
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)
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)
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)
Lun Hu, Shicheng Yang, Xin Luo, MengChu Zhou
An Algorithm of Inductively Identifying Clusters From Attributed Graphs. IEEE Trans. Big Data 8 (2) (2022)
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)
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)
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) (2022)
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) (2022)
Yue Yang, Xiaorui Su, Bowei Zhao, Yizhou He, Lun Hu
A Novel Fuzzy-Based MOPSO Algorithm for Identifying Clusters From Complex Networks. ICTAI (2022)
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) (2022)
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) (2022)
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)
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) (2022)
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)
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)
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) (2022)
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) (2022)
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) (2022)
Xue Han, Qing Wang, Zhan-Heng Chen, Lun Hu, Pengwei Hu
OnSum: Extractive Single Document Summarization Using Ordered Neuron LSTM. ICIC (2) (2021)
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)
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)
Zhenfeng Li, Pengwei Hu, Lun Hu
An Ensemble Learning Algorithm for Predicting HIV-1 Protease Cleavage Sites. ICIC (3) (2021)
Lun Hu, Xiangyu Pan, Xin Luo
Incorporating Generalized Momentum Method to Accelerate Clustering Analysis of Complex Networks. CASE (2021)
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) (2021)
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 (2021)
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)
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) (2021)
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) (2021)
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) (2021)
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) (2020)
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)
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)
Zhenfeng Li, Lun Hu
The identification of variable-length coevolutionary patterns for predicting HIV-1 protease cleavage sites. SMC (2020)
Xiaojuan Wang, Pengwei Hu, Lun Hu
A Novel Stochastic Block Model for Network-Based Prediction of Protein-Protein Interactions. ICIC (2) (2020)
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) (2020)
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) (2020)
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)
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) (2019)
Pengwei Hu, Shaochun Li, Yu-An Huang, Lun Hu
Predicting Hospital Readmission of Diabetics using Deep Forest. ICHI (2019)
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)
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)
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 (2019)
Lun Hu, Shicheng Yang
A fast algorithm to identify coevolutionary patterns from protein sequences based on tree-based data structure. SMC (2019)
Tiantian He, Lun Hu, Keith C. C. Chan, Pengwei Hu
Learning Latent Factors for Community Identification and Summarization. IEEE Access 6 (2018)
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) (2018)
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) (2017)
Lun Hu, Xiaohui Yuan, Shengwu Xiong
Identifying overlapping protein complexes in yeast protein interaction network via fuzzy clustering. FUZZ-IEEE (2017)
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)
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)
Lun Hu, Xiaohui Yuan, Pengwei Hu, Keith C. C. Chan
Efficiently predicting large-scale protein-protein interactions using MapReduce. Comput. Biol. Chem. 69 (2017)
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) (2016)
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 (2016)
Lun Hu, Keith C. C. Chan
A density-based clustering approach for identifying overlapping protein complexes with functional preferences. BMC Bioinform. 16 (2015)