Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features. - Yu-An Huang; Zhu-Hong You; Xiao Li 007; Xing Chen 001; Pengwei Hu 001; Shuai Li 002; Xin Luo 001 (Neurocomputing, 2016)

Discovering second-order sub-structure associations in drug molecules for side-effect prediction. - Pengwei Hu 001; Keith C. C. Chan; Lun Hu; Henry Leung (BIBM, 2017)

Deep Fusion of Multiple Networks for Learning Latent Social Communities. - Pengwei Hu 001; Tiantian He 001; Keith C. C. Chan; Henry Leung (ICTAI, 2017)

Deep Graph Clustering in Social Network. - Pengwei Hu 001; Keith C. C. Chan; Tiantian He 001 (WWW (Companion Volume), 2017)

Efficiently predicting large-scale protein-protein interactions using MapReduce. - Lun Hu; Xiaohui Yuan; Pengwei Hu 001; Keith C. C. Chan (Comput. Biol. Chem., 2017)

Dialogue Generation With GAN. - Hui Su; Xiaoyu Shen 001; Pengwei Hu 001; Wenjie Li 002; Yun Chen (AAAI, 2018)

Learning Deep Representations in Large Integrated Network for Graph Clustering. - Pengwei Hu 001; Zhaomeng Niu; Tiantian He 001; Keith C. C. Chan (AIKE, 2018)

Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction. - Pengwei Hu 001; Zhu-Hong You; Tiantian He 001; Shaochun Li; Shuhang Gu; Keith C. C. Chan (BIBM, 2018)

Discovering an Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions. - Pengwei Hu 001; Yu-An Huang; Keith C. C. Chan; Zhu-Hong You (ICIC (1), 2018)

Learning Latent Factors for Community Identification and Summarization. - Tiantian He 001; Lun Hu; Keith C. C. Chan; Pengwei Hu 001 (IEEE Access, 2018)

Improving Multi-turn Dialogue Modelling with Utterance ReWriter. - Hui Su; Xiaoyu Shen 001; Rongzhi Zhang; Fei Sun 001; Pengwei Hu 001; Cheng Niu; Jie Zhou 016 (ACL (1), 2019)

Cancer Patients' Emotional Health Discovering: Influences of Health Literacy, Fatalism and Peer Support. - Pengwei Hu 001; Zhaomeng Niu; Shaochun Li (AMIA, 2019)

Predicting Hospital Readmission of Diabetics using Deep Forest. - Pengwei Hu 001; Shaochun Li; Yu-An Huang; Lun Hu (ICHI, 2019)

Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins. - Zhan-Heng Chen; Zhu-Hong You; Li-Ping Li; Zhen-Hao Guo; Pengwei Hu 001; Han-Jing Jiang (ICIC (1), 2019)

Learning from Deep Representations of Multiple Networks for Predicting Drug-Target Interactions. - Pengwei Hu 001; Yu-An Huang; Zhuhong You; Shaochun Li; Keith C. C. Chan; Henry Leung; Lun Hu (ICIC (2), 2019)

Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences. - Yu-An Huang; Zhi-An Huang; Zhu-Hong You; Pengwei Hu 001; Li-Ping Li; Zheng-Wei Li 001; Lei Wang 121 (ICIC (2), 2019)

Prediction of Synergistic Drug Combinations by Learning from Deep Representations of Multiple Networks. - Pengwei Hu 001; Shochun Li; Zhaomeng Niu (MedInfo, 2019)

Network-Based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data. - Pengwei Hu 001; Eryu Xia; Shochun Li; Xin Du; Changsheng Ma; Jianzeng Dong; Keith C. C. Chan (MedInfo, 2019)

Diversifying Dialogue Generation with Non-Conversational Text. - Hui Su; Xiaoyu Shen 001; Sanqiang Zhao; Xiao Zhou 004; Pengwei Hu 001; Randy Zhong; Cheng Niu; Jie Zhou 016 (ACL, 2020)

A MapReduce-Based Parallel Random Forest Approach for Predicting Large-Scale Protein-Protein Interactions. - Bo-Ya Ji; Zhu-Hong You; Long Yang; Ji-Ren Zhou; Pengwei Hu 001 (ICIC (3), 2020)

A Network Embedding-Based Method for Predicting miRNA-Disease Associations by Integrating Multiple Information. - Hao-Yuan Li; Zhu-Hong You; Zheng-Wei Li 001; Ji-Ren Zhou; Pengwei Hu 001 (ICIC (3), 2020)

Embracing Disease Progression with a Learning System for Real World Evidence Discovery. - Zefang Tang; Lun Hu; Xu Min; Yuan Zhang; Jing Mei; Kenney Ng; Shaochun Li; Pengwei Hu 001; Zhuhong You (ICIC (2), 2020)

A Novel Stochastic Block Model for Network-Based Prediction of Protein-Protein Interactions. - Xiaojuan Wang; Pengwei Hu 001; Lun Hu (ICIC (2), 2020)

BlueMemo: Depression Analysis through Twitter Posts. - Pengwei Hu 001; Chenhao Lin; Hui Su; Shaochun Li; Xue Han; Yuan Zhang; Jing Mei (IJCAI, 2020)

Automatic Depression Detection via Facial Expressions Using Multiple Instance Learning. - Yanfei Wang; Jie Ma; Bibo Hao; Pengwei Hu 001; Xiaoqian Wang 006; Jing Mei; Shaochun Li (ISBI, 2020)

SenseMood: Depression Detection on Social Media. - Chenhao Lin; Pengwei Hu 001; Hui Su; Shaochun Li; Jing Mei; Jie Zhou 016; Henry Leung (ICMR, 2020)

Graph convolution for predicting associations between miRNA and drug resistance. - Yu-An Huang; Pengwei Hu 001; Keith C. C. Chan; Zhu-Hong You (Bioinform., 2020)

Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions. - Pengwei Hu 001; Yu-An Huang; Keith C. C. Chan; Zhu-Hong You (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites. - Lun Hu; Pengwei Hu 001; Xin Luo 001; Xiaohui Yuan; Zhu-Hong You (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

OnSum: Extractive Single Document Summarization Using Ordered Neuron LSTM. - Xue Han; Qing Wang; Zhan-Heng Chen; Lun Hu; Pengwei Hu 001 (ICIC (2), 2021)

An Ensemble Learning Algorithm for Predicting HIV-1 Protease Cleavage Sites. - Zhenfeng Li; Pengwei Hu 001; Lun Hu (ICIC (3), 2021)

A survey on computational models for predicting protein-protein interactions. - Lun Hu; Xiaojuan Wang; Yu-An Huang; Pengwei Hu 001; Zhu-Hong You (Briefings Bioinform., 2021)

Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning. - Yu-An Huang; Keith C. C. Chan; Zhu-Hong You; Pengwei Hu 001; Lei Wang 121; Zhi-An Huang (Briefings Bioinform., 2021)

Exploiting higher-order patterns for community detection in attributed graphs. - Lun Hu; Xiangyu Pan; Hong Yan 001; Pengwei Hu 001; Tiantian He 001 (Integr. Comput. Aided Eng., 2021)

Multi-source propagation aware network clustering☆. - Tiantian He 001; Yew-Soon Ong; Pengwei Hu 001 (Neurocomputing, 2021)

Learning from low-rank multimodal representations for predicting disease-drug associations. - Pengwei Hu 001; Yuan Huang; Jing Mei; Henry Leung; Zhanheng Chen; Ze-min Kuang; Zhu-Hong You; Lun Hu (BMC Medical Informatics Decis. Mak., 2021)

Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities. - 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 001 (ICIC (1), 2022)

MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction. - Bo-Wei Zhao; Lun Hu; Pengwei Hu 001; Zhu-Hong You; Xiao-Rui Su 001; Dong-Xu Li; Zhan-Heng Chen; Ping Zhang 027 (ICIC (2), 2022)

A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2. - Xiao-Rui Su 001; Lun Hu; Zhuhong You; Pengwei Hu 001; Lei Wang 121; Bo-Wei Zhao (Briefings Bioinform., 2022)

Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions. - Xiao-Rui Su 001; Lun Hu; Zhuhong You; Pengwei Hu 001; Bo-Wei Zhao (Briefings Bioinform., 2022)

A geometric deep learning framework for drug repositioning over heterogeneous information networks. - Bo-Wei Zhao; Xiao-Rui Su 001; Peng-Wei Hu 001; Yu-Peng Ma; Xi Zhou; Lun Hu (Briefings Bioinform., 2022)

Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach. - Lun Hu; Zhenfeng Li; Zehai Tang; Cheng Zhao; Xi Zhou; Pengwei Hu 001 (BMC Bioinform., 2022)

Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction. - Xiao-Rui Su 001; Lun Hu; Zhu-Hong You; Pengwei Hu 001; Bo-Wei Zhao (BMC Bioinform., 2022)

B-AT-KD: Binary attention map knowledge distillation. - Xing Wei; Yuqing Liu; Jiajia Li 004; Huiyong Chu; Zichen Zhang 012; Feng Tan; Pengwei Hu 001 (Neurocomputing, 2022)

Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information. - Xiangyu Pan; Lun Hu; Pengwei Hu 001; Zhu-Hong You (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection Model. - Xun Deng; Lun Hu; Zhu-Hong You; Peng-Wei Hu 001 (BIBM, 2023)

Making the Implicit Explicit: Depression Detection in Web across Posted Texts and Images. - Pengwei Hu 001; Chenhao Lin; Jiajia Li 004; Feng Tan; Xue Han; Xi Zhou; Lun Hu (BIBM, 2023)

MLGL: Model-free Lesion Generation and Learning for Diabetic Retinopathy Diagnosis. - Jiajia Li 004; Chenhao Lin; Zikai Wang; Haitao Song; Feng Tan; Lun Hu; Pengwei Hu 001 (BIBM, 2023)

Learning RNA sequence patterns to interpretably identify m6A modification sites. - Guodong Li; Bowei Zhao; Xiaorui Su 001; Yue Yang; Pengwei Hu 001; Lun Hu (BIBM, 2023)

Deepfake Detection Performance Evaluation and Enhancement Through Parameter Optimization. - Bowen Pei; Jingyi Deng; Chenhao Lin; Pengwei Hu 001; Chao Shen 001 (ICAI (2), 2023)

DeepSensitive: A Fuzzing Test for Deep Neural Networks with Sensitive Neurons. - Zixuan Yang; Chenhao Lin; Pengwei Hu 001; Chao Shen 001 (ICAI (1), 2023)

A contactless automated dynamic monitoring method for organoid morphology on the time axis. - Xun Deng; Lun Hu; Zekun Jiang; Lu Liu; Peng-Wei Hu 001 (ICDM (Workshops), 2023)

Drug Repositioning Method Based on Pre-trained Large Model and Network Embedding Representation. - Dongxu Li; Bowei Zhao; Xiaorui Su 001; Guodong Li; Yue Yang; Pengwei Hu 001; Lun Hu (ICDM (Workshops), 2023)

A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks. - Dong-Xu Li; Xun Deng; Bo-Wei Zhao; Xiao-Rui Su 001; Guo-Dong Li; Zhu-Hong You; Peng-Wei Hu 001; Lun Hu (ICIC (3), 2023)

TransOrga: End-To-End Multi-modal Transformer-Based Organoid Segmentation. - Yiming Qin; Jiajia Li 004; Yulong Chen; Zikai Wang; Yu-An Huang; Zhuhong You; Lun Hu; Pengwei Hu 001; Feng Tan (ICIC (3), 2023)

A Deep Learning Approach Incorporating Data Missing Mechanism in Predicting Acute Kidney Injury in ICU. - Yuan Zhang; Zhengbo Zhang; Xiaoli Liu; Lei Zha; Fengcong; Xiaorui Su 001; Bowei Zhao; Lun Hu; Pengwei Hu 001 (ICIC (3), 2023)

Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information Network. - Bo-Wei Zhao; Xiao-Rui Su 001; Yue Yang; Dong-Xu Li; Peng-Wei Hu 001; Zhu-Hong You; Lun Hu (ICIC (3), 2023)

A survey of transformer-based multimodal pre-trained modals. - Xue Han; Yitong Wang; Junlan Feng; Chao Deng; Zhan-Heng Chen; Yu-An Huang; Hui Su; Lun Hu; Pengwei Hu 001 (Neurocomputing, 2023)

Knowledge graph embedding for profiling the interaction between transcription factors and their target genes. - Yang-Han Wu; Yu-An Huang; Jian-Qiang Li 001; Zhu-Hong You; Peng-Wei Hu 001; Lun Hu; Victor C. M. Leung; Zhihua Du (PLoS Comput. Biol., 2023)

Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder. - Xin Luo 001; Liwei Wang; Pengwei Hu 001; Lun Hu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions. - Yue-Chao Li; Zhu-Hong You; Changqing Yu; Lei Wang 121; Leon Wong; Lun Hu; Pengwei Hu 001; Yu-An Huang (IEEE J. Biomed. Health Informatics, 2023)

Predicting Drug-Target Interactions Over Heterogeneous Information Network. - Xiao-Rui Su 001; Pengwei Hu 001; Hai-Cheng Yi; Zhuhong You; Lun Hu (IEEE J. Biomed. Health Informatics, 2023)

iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network. - Bo-Wei Zhao; Xiao-Rui Su 001; Peng-Wei Hu 001; Yu-An Huang; Zhu-Hong You; Lun Hu (Bioinform., 2023)

Artificial intelligence accelerates multi-modal biomedical process: A Survey. - Jiajia Li 004; Xue Han; Yiming Qin; Feng Tan; Yulong Chen; Zikai Wang; Haitao Song; Xi Zhou; Yuan Zhang; Lun Hu; Pengwei Hu 001 (Neurocomputing, 2023)

Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks. - Dong-Xu Li; Peng Zhou; Bo-Wei Zhao; Xiao-Rui Su 001; Guo-Dong Li; Jun Zhang 003; Peng-Wei Hu 001; Lun Hu (BMC Bioinform., 2023)

Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer. - Xiaorui Su 001; Pengwei Hu 001; Zhu-Hong You; Philip S. Yu; Lun Hu (AAAI, 2024)

MSSOrg: a multi-scale SSM-based model for organoid location and classification. - Xun Deng; Zhibin Li; Mei Gao; Shaolin Liang; Tianyu Sun; Zhipeng Shang; Yuhang Yang; Yafang Wei; Lun Hu; Pengwei Hu 001 (BIBM, 2024)

A Multi-view Nested Contrastive Learning Framework for Predicting Drug-Drug Interaction Events. - Dongxu Li; Yue Yang; Guodong Li; Pengwei Hu 001; Lun Hu (BIBM, 2024)

DNMDA: Deep Non-negative Matrix Factorization with Multi-level Integration for MiRNA-Drug Interaction Prediction. - Yujie Qi; Jiaxin Yang; Yu-An Huang; Zhu-Hong You; Zimai Zhang; Lun Hu; Xi Zhou; Pengwei Hu 001 (BIBM, 2024)

Predicting the Associations between Herbal Compounds and Target Proteins via Hypergraph Convolutional Network. - Yantong Qiao; Yafang Wei; Mingyang Wu; Pengwei Hu 001; Lun Hu (BIBM, 2024)

Knowledge-guided Protein Complex Identification with Fuzzy-based Graph Representation Learning. - Yue Yang; Guodong Li; Dongxu Li; Pengwei Hu 001; Lun Hu (BIBM, 2024)

IDHPre: Intradialytic Hypotension Prediction Model Based on Fully Observed Features. - Yifan Yao; Ze-min Kuang; Xiwen Yang; Baoquan Wang; Zhaomeng Niu; Jiaxin Yang; Lun Hu; Xi Zhou; Pengwei Hu 001 (ICIC (LNBI 1), 2024)

GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention. - Zimai Zhang; Bo-Wei Zhao; Yu-An Huang; Zhu-Hong You; Lun Hu; Xi Zhou; Pengwei Hu 001 (ICIC (LNBI 1), 2024)

Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning. - Bo-Wei Zhao; Lei Wang 121; Pengwei Hu 001; Leon Wong; Xiao-Rui Su 001; Bao-Quan Wang; Zhu-Hong You; Lun Hu (IEEE Trans. Emerg. Top. Comput., 2024)

Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations. - Jiajia Li 004; Feng Tan; Cheng He; Zikai Wang; Haitao Song; Pengwei Hu 001; Xin Luo 001 (IEEE Trans. Ind. Informatics, 2024)

Fuzzy-Based Deep Attributed Graph Clustering. - Yue Yang; Xiaorui Su 001; Bowei Zhao; GuoDong Li; Pengwei Hu 001; Jun Zhang 003; Lun Hu (IEEE Trans. Fuzzy Syst., 2024)

Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering. - Guodong Li; Bowei Zhao; Xiaorui Su 001; Yue Yang; Pengwei Hu 001; Xi Zhou; Lun Hu (IEEE J. Biomed. Health Informatics, 2024)

Multi-Axis Attention with Convolution Parallel Block for Organoid Segmentation. - Pengwei Hu 001; Xun Deng; Feng Tan; Lun Hu (IEEE CAA J. Autom. Sinica, 2024)

Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network. - Bo-Wei Zhao; Yi-Zhou He; Xiao-Rui Su 001; Yue Yang; Guo-Dong Li; Yu-An Huang; Peng-Wei Hu 001; Zhu-Hong You; Lun Hu (IEEE J. Biomed. Health Informatics, 2024)

Capturing short-range and long-range dependencies of nucleotides for identifying RNA N6-methyladenosine modification sites. - Guodong Li; Bowei Zhao; Xiao-Rui Su 001; Yue Yang; Zhi Zeng; Pengwei Hu 001; Lun Hu (Comput. Biol. Medicine, 2025)

Regulation-aware graph learning for drug repositioning over heterogeneous biological network. - Bo-Wei Zhao; Xiao-Rui Su 001; Yue Yang; Dong-Xu Li; Guo-Dong Li; Peng-Wei Hu 001; Zhu-Hong You; Xin Luo 001; Lun Hu (Inf. Sci., 2025)

Integrating Fuzzy Clustering and Graph Convolution Network to Accurately Identify Clusters From Attributed Graph. - Yue Yang; Guodong Li; Dongxu Li; Jun Zhang 003; Pengwei Hu 001; Lun Hu (IEEE Trans. Netw. Sci. Eng., 2025)