Lun Hu

113 papers A* 1B 6Misc 1Journal 70Unranked 35
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fuzzy Mixture-of-Experts Aggregation for Organoid Identification With Multiscale State Space Features.
IEEE Trans. Fuzzy Syst.
Xun Deng, Pengwei Hu, Thomas Herget, Feng Tan, Xiaobo Zhu, Jun Zhang, Yuan Huang, Lun Hu, Zhuhong You, Xin Luo
2026 J jnl
LLM-DDI: Leveraging Large Language Models for Drug-Drug Interaction Prediction on Biomedical Knowledge Graph.
IEEE J. Biomed. Health Informatics
Dongxu Li, Yue Yang, Ziwen Cui, Hengchuang Yin, Pengwei Hu, Lun Hu
2026 J jnl
Multi-View Contrastive Learning for Drug-Drug Interaction Event Prediction.
IEEE J. Biomed. Health Informatics
Dongxu Li, Feifan Zhao, Yue Yang, Ziwen Cui, Pengwei Hu, Lun Hu
2026 J jnl
Organfit: a multi-scale convolutional model with ellipse fitting for organoid identification.
Complex Intell. Syst.
Le Tong, Xinran Li, Tao Shu, Xun Deng, Feng Tan, Ze-min Kuang, Yu-An Huang, Zhuhong You, Lun Hu, Pengwei Hu, Wei Du
2026 J jnl
Robust Data-Driven Control of Heterogeneous Multi-Agent Systems and Its Application in Autonomous Vehicle and Drone Collaboration.
IEEE Trans Autom. Sci. Eng.
Xiufeng Zhang, Shuli Tan, Chunxi Yang, Fei Zhou, Lun Hu
2025 J jnl
A bijective inference network for interpretable identification of RNA N6-methyladenosine modification sites.
Pattern Recognit.
Guodong Li, Yue Yang, Dongxu Li, Xiao-Rui Su, Zhi Zeng, Pengwei Hu, Lun Hu
2025 B conf
Adversarial Domain Adaptation for Accurately Predicting the Associations between Herbal Compounds and Target Proteins.
SMC
Yantong Qiao, Lun Hu, Jun Zhang, Pengwei Hu, Xin Luo
2025 J jnl
CLORG: A contrastive learning-based framework for morphological representation and classification of organoids.
Array
Yafang Wei, Pengwei Hu, Xun Deng, Feng Tan, Thomas Herget, Mei Gao, Lun Hu, Xin Luo
2025 J jnl
Capturing short-range and long-range dependencies of nucleotides for identifying RNA N6-methyladenosine modification sites.
Comput. Biol. Medicine
Guodong Li, Bowei Zhao, Xiao-Rui Su, Yue Yang, Zhi Zeng, Pengwei Hu, Lun Hu
2025 J jnl
DeepHIV: A Sequence-Based Deep Learning Model for Predicting HIV-1 Protease Cleavage Sites.
IEEE Trans. Comput. Biol. Bioinform.
Dongxu Li, Zhenfeng Li, Bowei Zhao, Xiao-Rui Su, Guodong Li, Lun Hu
2025 — conf
Dual-Channel MiRNA Drug Resistance Prediction Model Based on Multimodal Feature Alignment.
ICIC (26)
Runzhou Tang, Zimai Zhang, Jun Zhang, Lun Hu, Xi Zhou, Pengwei Hu
2025 J jnl
FMvPCI: A Multiview Fusion Neural Network for Identifying Protein Complex via Fuzzy Clustering.
IEEE Trans. Syst. Man Cybern. Syst.
Yue Yang, Lun Hu, Guodong Li, Dongxu Li, Pengwei Hu, Xin Luo
2025 — conf
GA-RLImpute: A Genetic Algorithm with Reinforcement Learning for Imputation of Medical Tabular Data.
BIBM
Xiwen Yang, Deng Xun, Lu You, Yifan Yao, Lun Hu, Pengwei Hu
2025 J jnl
Identifying novel therapeutic targets of natural compounds in traditional Chinese medicine herbs with hypergraph representation learning.
Briefings Bioinform.
Yantong Qiao, Lun Hu, Jun Zhang, Pengwei Hu, Xin Luo
2025 — conf
Improving Cancer Gene Identification via Mixture-of-Experts-Based Graph Representation Learning.
BIBM
Ying Chang, Yue Yang, Dongxu Li, Ziwen Cui, Hengchuang Yin, Pengwei Hu, Lun Hu
2025 J jnl
Integrating Fuzzy Clustering and Graph Convolution Network to Accurately Identify Clusters From Attributed Graph.
IEEE Trans. Netw. Sci. Eng.
Yue Yang, Guodong Li, Dongxu Li, Jun Zhang, Pengwei Hu, Lun Hu
2025 J jnl
Knowledge Graph Neural Network With Spatial-Aware Capsule for Drug-Drug Interaction Prediction.
IEEE J. Biomed. Health Informatics
Xiao-Rui Su, Bowei Zhao, Guodong Li, Jun Zhang, Pengwei Hu, Zhuhong You, Lun Hu
2025 J jnl
Link-Based Attributed Graph Clustering via Approximate Generative Bayesian Learning.
IEEE Trans. Syst. Man Cybern. Syst.
Yue Yang, Lun Hu, Guodong Li, Dongxu Li, Pengwei Hu, Xin Luo
2025 — conf
MHGN: A Model for Drug Discovery Based on Molecular Hierarchical Graph Network.
BIBM
Zimai Zhang, Yujie Qi, Xi Zhou, Xiaobo Zhu, Lun Hu, Pengwei Hu
2025 J jnl
Regulation-aware graph learning for drug repositioning over heterogeneous biological network.
Inf. Sci.
Bo-Wei Zhao, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Guo-Dong Li, Peng-Wei Hu, Zhu-Hong You, Xin Luo, Lun Hu
2025 J jnl
Searching for an Accurate Robot Calibration via Improved Levenberg-Marquardt and Radial Basis Function System.
J. Field Robotics
Zhibin Li, Xun Deng, Tinghui Chen, Yuhang Yang, Linlin Chen, Xiwen Yang, Zhenzhen Hu, Lun Hu, Pengwei Hu, Shuai Li, Xin Luo
2025 J jnl
Toward Multilabel Classification for Multiple Disease Prediction Using Gut Microbiota Profiles.
IEEE Trans. Neural Networks Learn. Syst.
Zhi-An Huang, Pengwei Hu, Lun Hu, Zhu-Hong You, Kay Chen Tan, Yu-An Huang
2024 — conf
A Multi-view Nested Contrastive Learning Framework for Predicting Drug-Drug Interaction Events.
BIBM
Dongxu Li, Yue Yang, Guodong Li, Pengwei Hu, Lun Hu
2024 — conf
DNMDA: Deep Non-negative Matrix Factorization with Multi-level Integration for MiRNA-Drug Interaction Prediction.
BIBM
Yujie Qi, Jiaxin Yang, Yu-An Huang, Zhu-Hong You, Zimai Zhang, Lun Hu, Xi Zhou, Pengwei Hu
2024 J jnl
Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering.
IEEE J. Biomed. Health Informatics
Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, Pengwei Hu, Xi Zhou, Lun Hu
2024 A* conf
Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer.
AAAI
Xiaorui Su, Pengwei Hu, Zhu-Hong You, Philip S. Yu, Lun Hu
2024 J jnl
Dual-channel hypergraph convolutional network for predicting herb-disease associations.
Briefings Bioinform.
Lun Hu, Menglong Zhang, Pengwei Hu, Jun Zhang, Chao Niu, Xueying Lu, Xiangrui Jiang, Yupeng Ma
2024 J jnl
Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning.
IEEE Trans. Emerg. Top. Comput.
Bo-Wei Zhao, Lei Wang, Pengwei Hu, Leon Wong, Xiao-Rui Su, Bao-Quan Wang, Zhu-Hong You, Lun Hu
2024 J jnl
Fuzzy-Based Deep Attributed Graph Clustering.
IEEE Trans. Fuzzy Syst.
Yue Yang, Xiaorui Su, Bowei Zhao, Guodong Li, Pengwei Hu, Jun Zhang, Lun Hu
2024 — conf
GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention.
ICIC (LNBI 1)
Zimai Zhang, Bo-Wei Zhao, Yu-An Huang, Zhu-Hong You, Lun Hu, Xi Zhou, Pengwei Hu
2024 — conf
IDHPre: Intradialytic Hypotension Prediction Model Based on Fully Observed Features.
ICIC (LNBI 1)
Yifan Yao, Ze-min Kuang, Xiwen Yang, Baoquan Wang, Zhaomeng Niu, Jiaxin Yang, Lun Hu, Xi Zhou, Pengwei Hu
2024 — conf
Knowledge-guided Protein Complex Identification with Fuzzy-based Graph Representation Learning.
BIBM
Yue Yang, Guodong Li, Dongxu Li, Pengwei Hu, Lun Hu
2024 J jnl
Learning Sequential and Structural Dependencies Between Nucleotides for RNA N6-Methyladenosine Site Identification.
IEEE CAA J. Autom. Sinica
Guodong Li, Bowei Zhao, Xiaorui Su, Dongxu Li, Yue Yang, Zhi Zeng, Lun Hu
2024 — conf
MSSOrg: a multi-scale SSM-based model for organoid location and classification.
BIBM
Xun Deng, Zhibin Li, Mei Gao, Shaolin Liang, Tianyu Sun, Zhipeng Shang, Yuhang Yang, Yafang Wei, Lun Hu, Pengwei Hu
2024 J jnl
Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network.
IEEE J. Biomed. Health Informatics
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
2024 J jnl
Multi-Axis Attention with Convolution Parallel Block for Organoid Segmentation.
IEEE CAA J. Autom. Sinica
Pengwei Hu, Xun Deng, Feng Tan, Lun Hu
2024 — conf
Predicting the Associations between Herbal Compounds and Target Proteins via Hypergraph Convolutional Network.
BIBM
Yantong Qiao, Yafang Wei, Mingyang Wu, Pengwei Hu, Lun Hu
2023 — conf
A Deep Learning Approach Incorporating Data Missing Mechanism in Predicting Acute Kidney Injury in ICU.
ICIC (3)
Yuan Zhang, Zhengbo Zhang, Xiaoli Liu, Lei Zha, Fengcong, Xiaorui Su, Bowei Zhao, Lun Hu, Pengwei Hu
2023 — conf
A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks.
ICIC (3)
Dong-Xu Li, Xun Deng, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu
2023 — conf
A contactless automated dynamic monitoring method for organoid morphology on the time axis.
ICDM (Workshops)
Xun Deng, Lun Hu, Zekun Jiang, Lu Liu, Peng-Wei Hu
2023 J jnl
A survey of transformer-based multimodal pre-trained modals.
Neurocomputing
Xue Han, Yitong Wang, Junlan Feng, Chao Deng, Zhan-Heng Chen, Yu-An Huang, Hui Su, Lun Hu, Pengwei Hu
2023 J jnl
Artificial intelligence accelerates multi-modal biomedical process: A Survey.
Neurocomputing
Jiajia Li, Xue Han, Yiming Qin, Feng Tan, Yulong Chen, Zikai Wang, Haitao Song, Xi Zhou, Yuan Zhang, Lun Hu, Pengwei Hu
2023 J jnl
Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks.
BMC Bioinform.
Dong-Xu Li, Peng Zhou, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Jun Zhang, Peng-Wei Hu, Lun Hu
2023 — conf
CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection Model.
BIBM
Xun Deng, Lun Hu, Zhu-Hong You, Peng-Wei Hu
2023 — conf
Drug Repositioning Method Based on Pre-trained Large Model and Network Embedding Representation.
ICDM (Workshops)
Dongxu Li, Bowei Zhao, Xiaorui Su, Guodong Li, Yue Yang, Pengwei Hu, Lun Hu
2023 J jnl
FCAN-MOPSO: An Improved Fuzzy-Based Graph Clustering Algorithm for Complex Networks With Multiobjective Particle Swarm Optimization.
IEEE Trans. Fuzzy Syst.
Lun Hu, Yue Yang, Zehai Tang, Yizhou He, Xin Luo
2023 J jnl
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.
Guodong Li, Weicheng Sun, Jinsheng Xu, Lun Hu, Weihan Zhang, Ping Zhang
2023 J jnl
Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularity.
Briefings Bioinform.
Yi-Zhou He, Yue Yang, Xiao-Rui Su, Bo-Wei Zhao, Shengwu Xiong, Lun Hu
2023 J jnl
Knowledge graph embedding for profiling the interaction between transcription factors and their target genes.
PLoS Comput. Biol.
Yang-Han Wu, Yu-An Huang, Jian-Qiang Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu, Victor C. M. Leung, Zhihua Du
2023 — conf
Learning RNA sequence patterns to interpretably identify m6A modification sites.
BIBM
Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, Pengwei Hu, Lun Hu
2023 — conf
MLGL: Model-free Lesion Generation and Learning for Diabetic Retinopathy Diagnosis.
BIBM
Jiajia Li, Chenhao Lin, Zikai Wang, Haitao Song, Feng Tan, Lun Hu, Pengwei Hu
2023 — conf
Making the Implicit Explicit: Depression Detection in Web across Posted Texts and Images.
BIBM
Pengwei Hu, Chenhao Lin, Jiajia Li, Feng Tan, Xue Han, Xi Zhou, Lun Hu
2023 — conf
Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information Network.
ICIC (3)
Bo-Wei Zhao, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Peng-Wei Hu, Zhu-Hong You, Lun Hu
2023 J jnl
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions.
IEEE J. Biomed. Health Informatics
Yue-Chao Li, Zhu-Hong You, Changqing Yu, Lei Wang, Leon Wong, Lun Hu, Pengwei Hu, Yu-An Huang
2023 J jnl
PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaojuan Wang, Wen Yang, Yue Yang, Yizhou He, Jun Zhang, Lusheng Wang, Lun Hu
2023 J jnl
Predicting Drug-Target Interactions Over Heterogeneous Information Network.
IEEE J. Biomed. Health Informatics
Xiao-Rui Su, Pengwei Hu, Hai-Cheng Yi, Zhuhong You, Lun Hu
2023 J jnl
Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xin Luo, Liwei Wang, Pengwei Hu, Lun Hu
2023 — conf
TransOrga: End-To-End Multi-modal Transformer-Based Organoid Segmentation.
ICIC (3)
Yiming Qin, Jiajia Li, Yulong Chen, Zikai Wang, Yu-An Huang, Zhuhong You, Lun Hu, Pengwei Hu, Feng Tan
2023 J jnl
iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network.
Bioinform.
Bo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, Yu-An Huang, Zhu-Hong You, Lun Hu
2022 J jnl
A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce.
IEEE CAA J. Autom. Sinica
Lun Hu, Shicheng Yang, Xin Luo, Huaqiang Yuan, Khaled Sedraoui, MengChu Zhou
2022 J jnl
A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method.
IEEE Trans. Fuzzy Syst.
Lun Hu, Xiangyu Pan, Zehai Tang, Xin Luo
2022 B conf
A Novel Fuzzy-Based MOPSO Algorithm for Identifying Clusters From Complex Networks.
ICTAI
Yue Yang, Xiaorui Su, Bowei Zhao, Yizhou He, Lun Hu
2022 J jnl
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.
Xiao-Rui Su, Lun Hu, Zhuhong You, Pengwei Hu, Lei Wang, Bo-Wei Zhao
2022 J jnl
A geometric deep learning framework for drug repositioning over heterogeneous information networks.
Briefings Bioinform.
Bo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, Yu-Peng Ma, Xi Zhou, Lun Hu
2022 J jnl
An Algorithm of Inductively Identifying Clusters From Attributed Graphs.
IEEE Trans. Big Data
Lun Hu, Shicheng Yang, Xin Luo, MengChu Zhou
2022 J jnl
Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions.
Briefings Bioinform.
Xiao-Rui Su, Lun Hu, Zhuhong You, Pengwei Hu, Bo-Wei Zhao
2022 J jnl
Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network.
Cogn. Comput.
Lun Hu, Qiang Chen, Liyuan Qiao, Le Du, Rui Ye
2022 — conf
Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities.
ICIC (1)
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
2022 J jnl
Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach.
BMC Bioinform.
Lun Hu, Zhenfeng Li, Zehai Tang, Cheng Zhao, Xi Zhou, Pengwei Hu
2022 J jnl
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis.
IEEE Trans. Serv. Comput.
Xin Luo, Yue Zhou, Zhigang Liu, Lun Hu, MengChu Zhou
2022 J jnl
GraphTGI: an attention-based graph embedding model for predicting TF-target gene interactions.
Briefings Bioinform.
Zhihua Du, Yang-Han Wu, Yu-An Huang, Jie Chen, Gui-Qing Pan, Lun Hu, Zhu-Hong You, Jian-Qiang Li
2022 J jnl
HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks.
Briefings Bioinform.
Bo-Wei Zhao, Lun Hu, Zhu-Hong You, Lei Wang, Xiao-Rui Su
2022 J jnl
Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiangyu Pan, Lun Hu, Pengwei Hu, Zhu-Hong You
2022 — conf
MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction.
ICIC (2)
Bo-Wei Zhao, Lun Hu, Pengwei Hu, Zhu-Hong You, Xiao-Rui Su, Dong-Xu Li, Zhan-Heng Chen, Ping Zhang
2022 J jnl
Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction.
BMC Bioinform.
Xiao-Rui Su, Lun Hu, Zhu-Hong You, Pengwei Hu, Bo-Wei Zhao
2022 — conf
Predicting Drug-Disease Associations via Meta-path Representation Learning based on Heterogeneous Information Net works.
ICIC (2)
Menglong Zhang, Bo-Wei Zhao, Lun Hu, Zhu-Hong You, Zhan-Heng Chen
2022 J jnl
RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction.
BMC Bioinform.
Menglong Zhang, Bo-Wei Zhao, Xiao-Rui Su, Yi-Zhou He, Yue Yang, Lun Hu
2022 J jnl
iGRLCDA: identifying circRNA-disease association based on graph representation learning.
Briefings Bioinform.
Hanyuan Zhang, Lei Wang, Zhu-Hong You, Lun Hu, Bo-Wei Zhao, Zheng-Wei Li, Yang-Ming Li
2021 — conf
A Multi-graph Deep Learning Model for Predicting Drug-Disease Associations.
ICIC (3)
Bo-Wei Zhao, Zhu-Hong You, Lun Hu, Leon Wong, Bo-Ya Ji, Ping Zhang
2021 J jnl
A survey on computational models for predicting protein-protein interactions.
Briefings Bioinform.
Lun Hu, Xiaojuan Wang, Yu-An Huang, Pengwei Hu, Zhu-Hong You
2021 J jnl
An Effective Link-Based Clustering Algorithm for Detecting Overlapping Protein Complexes in Protein-Protein Interaction Networks.
IEEE Trans. Netw. Sci. Eng.
Lun Hu, Jun Zhang, Xiangyu Pan, Xin Luo, Huaqiang Yuan
2021 — conf
An Ensemble Learning Algorithm for Predicting HIV-1 Protease Cleavage Sites.
ICIC (3)
Zhenfeng Li, Pengwei Hu, Lun Hu
2021 J jnl
Exploiting higher-order patterns for community detection in attributed graphs.
Integr. Comput. Aided Eng.
Lun Hu, Xiangyu Pan, Hong Yan, Pengwei Hu, Tiantian He
2021 J jnl
HiSCF: leveraging higher-order structures for clustering analysis in biological networks.
Bioinform.
Lun Hu, Jun Zhang, Xiangyu Pan, Hong Yan, Zhu-Hong You
2021 — conf
Incorporating Generalized Momentum Method to Accelerate Clustering Analysis of Complex Networks.
CASE
Lun Hu, Xiangyu Pan, Xin Luo
2021 J jnl
Learning from low-rank multimodal representations for predicting disease-drug associations.
BMC Medical Informatics Decis. Mak.
Pengwei Hu, Yuan Huang, Jing Mei, Henry Leung, Zhanheng Chen, Ze-min Kuang, Zhu-Hong You, Lun Hu
2021 — conf
OnSum: Extractive Single Document Summarization Using Ordered Neuron LSTM.
ICIC (2)
Xue Han, Qing Wang, Zhan-Heng Chen, Lun Hu, Pengwei Hu
2021 B conf
Predicting Large-scale Protein-protein Interactions by Extracting Coevolutionary Patterns with MapReduce Paradigm.
SMC
Lun Hu, Bo-Wei Zhao, Shicheng Yang, Xin Luo, MengChu Zhou
2021 J jnl
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning.
Appl. Soft Comput.
Xiao-Rui Su, Zhuhong You, Lei Wang, Lun Hu, Leon Wong, Boya Ji, Bo-Wei Zhao
2020 — conf
A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations.
ICIC (3)
Han-Jing Jiang, Zhu-Hong You, Lun Hu, Zhen-Hao Guo, Bo-Ya Ji, Leon Wong
2020 — conf
A Novel Stochastic Block Model for Network-Based Prediction of Protein-Protein Interactions.
ICIC (2)
Xiaojuan Wang, Pengwei Hu, Lun Hu
2020 J jnl
A Variational Bayesian Framework for Cluster Analysis in a Complex Network.
IEEE Trans. Knowl. Data Eng.
Lun Hu, Keith C. C. Chan, Xiaohui Yuan, Shengwu Xiong
2020 — conf
Embracing Disease Progression with a Learning System for Real World Evidence Discovery.
ICIC (2)
Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You
2020 J jnl
Energy-aware task scheduling with time constraint for heterogeneous cloud datacenters.
Concurr. Comput. Pract. Exp.
Xing Liu, Panwen Liu, Lun Hu, Chengming Zou, Zhangyu Cheng
2020 J jnl
Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lun Hu, Pengwei Hu, Xin Luo, Xiaohui Yuan, Zhu-Hong You
2020 J jnl
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications.
IEEE Trans. Cybern.
Xin Luo, MengChu Zhou, Shuai Li, Lun Hu, Mingsheng Shang
2020 B conf
The identification of variable-length coevolutionary patterns for predicting HIV-1 protease cleavage sites.
SMC
Zhenfeng Li, Lun Hu
2019 — conf
A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel.
ICIC (2)
Tao Wang, Hai-Cheng Yi, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang, Lun Hu, Leon Wong
2019 B conf
A fast algorithm to identify coevolutionary patterns from protein sequences based on tree-based data structure.
SMC
Lun Hu, Shicheng Yang
2019 J jnl
Automatic hierarchy classification in venation networks using directional morphological filtering for hierarchical structure traits extraction.
Comput. Biol. Chem.
Yangjing Gan, Yi Rong, Fei Huang, Lun Hu, Xiaohan Yu, Pengfei Duan, Shengwu Xiong, Haiping Liu, Jing Peng, Xiaohui Yuan
2019 J jnl
Efficiently Detecting Protein Complexes from Protein Interaction Networks via Alternating Direction Method of Multipliers.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lun Hu, Xiaohui Yuan, Xing Liu, Shengwu Xiong, Xin Luo
2019 — conf
Learning from Deep Representations of Multiple Networks for Predicting Drug-Target Interactions.
ICIC (2)
Pengwei Hu, Yu-An Huang, Zhuhong You, Shaochun Li, Keith C. C. Chan, Henry Leung, Lun Hu
2019 — conf
Predicting Hospital Readmission of Diabetics using Deep Forest.
ICHI
Pengwei Hu, Shaochun Li, Yu-An Huang, Lun Hu
2018 J jnl
A gene-phenotype relationship extraction pipeline from the biomedical literature using a representation learning approach.
Bioinform.
Wenhui Xing, Junsheng Qi, Xiaohui Yuan, Lin Li, Xiaoyu Zhang, Yuhua Fu, Shengwu Xiong, Lun Hu, Jing Peng
2018 J jnl
Learning Latent Factors for Community Identification and Summarization.
IEEE Access
Tiantian He, Lun Hu, Keith C. C. Chan, Pengwei Hu
2017 Misc conf
Bar charts detection and analysis in biomedical literature of PubMed Central.
AMIA
Ying He, Xiaohan Yu, Yangjing Gan, Tujin Zhu, Shengwu Xiong, Jing Peng, Lun Hu, Guang Xu, Xiaohui Yuan
2017 — conf
Discovering second-order sub-structure associations in drug molecules for side-effect prediction.
BIBM
Pengwei Hu, Keith C. C. Chan, Lun Hu, Henry Leung
2017 J jnl
Efficiently predicting large-scale protein-protein interactions using MapReduce.
Comput. Biol. Chem.
Lun Hu, Xiaohui Yuan, Pengwei Hu, Keith C. C. Chan
2017 J jnl
Extracting Coevolutionary Features from Protein Sequences for Predicting Protein-Protein Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lun Hu, Keith C. C. Chan
2017 B conf
Identifying overlapping protein complexes in yeast protein interaction network via fuzzy clustering.
FUZZ-IEEE
Lun Hu, Xiaohui Yuan, Shengwu Xiong
2016 J jnl
Fuzzy Clustering in a Complex Network Based on Content Relevance and Link Structures.
IEEE Trans. Fuzzy Syst.
Lun Hu, Keith C. C. Chan
2016 J jnl
InDel marker detection by integration of multiple softwares using machine learning techniques.
BMC Bioinform.
Jianqiu Yang, Xinyi Shi, Lun Hu, Daipeng Luo, Jing Peng, Shengwu Xiong, Fanjing Kong, Baohui Liu, Xiaohui Yuan
2015 J jnl
A density-based clustering approach for identifying overlapping protein complexes with functional preferences.
BMC Bioinform.
Lun Hu, Keith C. C. Chan