Pengwei Hu

90 papers A* 5B 3Misc 1Journal 43Unranked 38
YearRankTypeTitle / Venue / Authors
2026 A* conf
Dual-Channel Learning Framework for Zero-Shot CircRNA-miRNA Interaction Prediction via State Space Modeling.
AAAI
Mengmeng Wei, Lei Wang, Zhu-Hong You, Pengwei Hu, Bowei Zhao, Zhi-An Huang, Yu-An Huang, Haicheng Yi
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
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 — 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 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 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 — 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
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
2024 J jnl
Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations.
IEEE Trans. Ind. Informatics
Jiajia Li, Feng Tan, Cheng He, Zikai Wang, Haitao Song, Pengwei Hu, Xin Luo
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 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 — conf
DeepSensitive: A Fuzzing Test for Deep Neural Networks with Sensitive Neurons.
ICAI (1)
Zixuan Yang, Chenhao Lin, Pengwei Hu, Chao Shen
2023 — conf
Deepfake Detection Performance Evaluation and Enhancement Through Parameter Optimization.
ICAI (2)
Bowen Pei, Jingyi Deng, Chenhao Lin, Pengwei Hu, Chao Shen
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 — 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 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
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
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
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
B-AT-KD: Binary attention map knowledge distillation.
Neurocomputing
Xing Wei, Yuqing Liu, Jiajia Li, Huiyong Chu, Zichen Zhang, Feng Tan, Pengwei Hu
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
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
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 — 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
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 J jnl
Multi-source propagation aware network clustering
Neurocomputing
Tiantian He, Yew-Soon Ong, Pengwei 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 J jnl
Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning.
Briefings Bioinform.
Yu-An Huang, Keith C. C. Chan, Zhu-Hong You, Pengwei Hu, Lei Wang, Zhi-An Huang
2020 — conf
A MapReduce-Based Parallel Random Forest Approach for Predicting Large-Scale Protein-Protein Interactions.
ICIC (3)
Bo-Ya Ji, Zhu-Hong You, Long Yang, Ji-Ren Zhou, Pengwei Hu
2020 — conf
A Network Embedding-Based Method for Predicting miRNA-Disease Associations by Integrating Multiple Information.
ICIC (3)
Hao-Yuan Li, Zhu-Hong You, Zheng-Wei Li, Ji-Ren Zhou, Pengwei Hu
2020 — conf
A Novel Stochastic Block Model for Network-Based Prediction of Protein-Protein Interactions.
ICIC (2)
Xiaojuan Wang, Pengwei Hu, Lun Hu
2020 — conf
Automatic Depression Detection via Facial Expressions Using Multiple Instance Learning.
ISBI
Yanfei Wang, Jie Ma, Bibo Hao, Pengwei Hu, Xiaoqian Wang, Jing Mei, Shaochun Li
2020 A* conf
BlueMemo: Depression Analysis through Twitter Posts.
IJCAI
Pengwei Hu, Chenhao Lin, Hui Su, Shaochun Li, Xue Han, Yuan Zhang, Jing Mei
2020 A* conf
Diversifying Dialogue Generation with Non-Conversational Text.
ACL
Hui Su, Xiaoyu Shen, Sanqiang Zhao, Xiao Zhou, Pengwei Hu, Randy Zhong, Cheng Niu, Jie Zhou
2020 J jnl
Diversifying Dialogue Generation with Non-Conversational Text.
CoRR
Hui Su, Xiaoyu Shen, Sanqiang Zhao, Xiao Zhou, Pengwei Hu, Randy Zhong, Cheng Niu, Jie Zhou
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
Graph convolution for predicting associations between miRNA and drug resistance.
Bioinform.
Yu-An Huang, Pengwei Hu, Keith C. C. Chan, Zhu-Hong You
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
Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform.
Pengwei Hu, Yu-An Huang, Keith C. C. Chan, Zhu-Hong You
2020 B conf
SenseMood: Depression Detection on Social Media.
ICMR
Chenhao Lin, Pengwei Hu, Hui Su, Shaochun Li, Jing Mei, Jie Zhou, Henry Leung
2019 Misc conf
Cancer Patients' Emotional Health Discovering: Influences of Health Literacy, Fatalism and Peer Support.
AMIA
Pengwei Hu, Zhaomeng Niu, Shaochun Li
2019 — conf
Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins.
ICIC (1)
Zhan-Heng Chen, Zhu-Hong You, Li-Ping Li, Zhen-Hao Guo, Pengwei Hu, Han-Jing Jiang
2019 — conf
Improving Multi-turn Dialogue Modelling with Utterance ReWriter.
ACL (1)
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou
2019 J jnl
Improving Multi-turn Dialogue Modelling with Utterance ReWriter.
CoRR
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou
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
Network-Based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data.
MedInfo
Pengwei Hu, Eryu Xia, Shochun Li, Xin Du, Changsheng Ma, Jianzeng Dong, Keith C. C. Chan
2019 — conf
Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences.
ICIC (2)
Yu-An Huang, Zhi-An Huang, Zhu-Hong You, Pengwei Hu, Li-Ping Li, Zheng-Wei Li, Lei Wang
2019 — conf
Predicting Hospital Readmission of Diabetics using Deep Forest.
ICHI
Pengwei Hu, Shaochun Li, Yu-An Huang, Lun Hu
2019 — conf
Prediction of Synergistic Drug Combinations by Learning from Deep Representations of Multiple Networks.
MedInfo
Pengwei Hu, Shochun Li, Zhaomeng Niu
2018 A* conf
Dialogue Generation With GAN.
AAAI
Hui Su, Xiaoyu Shen, Pengwei Hu, Wenjie Li, Yun Chen
2018 — conf
Discovering an Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions.
ICIC (1)
Pengwei Hu, Yu-An Huang, Keith C. C. Chan, Zhu-Hong You
2018 — conf
Learning Deep Representations in Large Integrated Network for Graph Clustering.
AIKE
Pengwei Hu, Zhaomeng Niu, Tiantian He, Keith C. C. Chan
2018 J jnl
Learning Latent Factors for Community Identification and Summarization.
IEEE Access
Tiantian He, Lun Hu, Keith C. C. Chan, Pengwei Hu
2018 — conf
Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction.
BIBM
Pengwei Hu, Zhu-Hong You, Tiantian He, Shaochun Li, Shuhang Gu, Keith C. C. Chan
2017 B conf
Deep Fusion of Multiple Networks for Learning Latent Social Communities.
ICTAI
Pengwei Hu, Tiantian He, Keith C. C. Chan, Henry Leung
2017 — conf
Deep Graph Clustering in Social Network.
WWW (Companion Volume)
Pengwei Hu, Keith C. C. Chan, Tiantian He
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
2016 J jnl
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features.
Neurocomputing
Yu-An Huang, Zhu-Hong You, Xiao Li, Xing Chen, Pengwei Hu, Shuai Li, Xin Luo