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Pengwei Hu 0001
Peng-Wei Hu 0001
Person information
- affiliation: Chinese Academy of Sciences, Xinjiang Technical Institute of Physics and Chemistry, Ürümqi, China
Other persons with the same name
- Pengwei Hu (aka: Peng-Wei Hu) — disambiguation page
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2020 – today
- 2025
- [j33]Bo-Wei Zhao
, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Guo-Dong Li
Regulation-aware graph learning for drug repositioning over heterogeneous biological network. Inf. Sci. 686: 121360 (2025) - 2024
- [j32]Pengwei Hu
Multi-Axis Attention with Convolution Parallel Block for Organoid Segmentation. IEEE CAA J. Autom. Sinica 11(5): 1295-1297 (2024) - [j31]Bo-Wei Zhao
Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning. IEEE Trans. Emerg. Top. Comput. 12(1): 163-176 (2024) - [j30]Yue Yang
Fuzzy-Based Deep Attributed Graph Clustering. IEEE Trans. Fuzzy Syst. 32(4): 1951-1964 (2024) - [j29]Jiajia Li
Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations. IEEE Trans. Ind. Informatics 20(3): 4206-4217 (2024) - [j28]Guodong Li
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) - [j27]Bo-Wei Zhao
Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network. IEEE J. Biomed. Health Informatics 28(7): 4281-4294 (2024) - [c42]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 - [c41]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 - [c40]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
- [j26]Bo-Wei Zhao
iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network. Bioinform. 39(8) (2023) - [j25]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) - [j24]Xue Han, Yitong Wang, Junlan Feng, Chao Deng, Zhan-Heng Chen, Yu-An Huang
A survey of transformer-based multimodal pre-trained modals. Neurocomputing 515: 89-106 (2023) - [j23]Jiajia Li
Artificial intelligence accelerates multi-modal biomedical process: A Survey. Neurocomputing 558: 126720 (2023) - [j22]Yang-Han Wu, Yu-An Huang
Knowledge graph embedding for profiling the interaction between transcription factors and their target genes. PLoS Comput. Biol. 19(6) (2023) - [j21]Xin Luo
Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3182-3194 (2023) - [j20]Xiao-Rui Su
Predicting Drug-Target Interactions Over Heterogeneous Information Network. IEEE J. Biomed. Health Informatics 27(1): 562-572 (2023) - [j19]Yue-Chao Li
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions. IEEE J. Biomed. Health Informatics 27(1): 573-582 (2023) - [c39]Xun Deng
CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection Model. BIBM 2023: 1068-1073 - [c38]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 - [c37]Jiajia Li
MLGL: Model-free Lesion Generation and Learning for Diabetic Retinopathy Diagnosis. BIBM 2023: 1266-1271 - [c36]Pengwei Hu, Chenhao Lin, Jiajia Li
Making the Implicit Explicit: Depression Detection in Web across Posted Texts and Images. BIBM 2023: 4807-4811 - [c35]Bowen Pei
Deepfake Detection Performance Evaluation and Enhancement Through Parameter Optimization. ICAI (2) 2023: 202-213 - [c34]Zixuan Yang, Chenhao Lin, Pengwei Hu, Chao Shen:
DeepSensitive: A Fuzzing Test for Deep Neural Networks with Sensitive Neurons. ICAI (1) 2023: 351-362 - [c33]Xun Deng
A contactless automated dynamic monitoring method for organoid morphology on the time axis. ICDM (Workshops) 2023: 412-417 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - [c28]Yiming Qin
TransOrga: End-To-End Multi-modal Transformer-Based Organoid Segmentation. ICIC (3) 2023: 460-472 - 2022
- [j18]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) - [j17]Xiao-Rui Su, Lun Hu
Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions. Briefings Bioinform. 23(3) (2022) - [j16]Bo-Wei Zhao
A geometric deep learning framework for drug repositioning over heterogeneous information networks. Briefings Bioinform. 23(6) (2022) - [j15]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) - [j14]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) - [j13]Xing Wei, Yuqing Liu, Jiajia Li
B-AT-KD: Binary attention map knowledge distillation. Neurocomputing 511: 299-307 (2022) - [j12]Xiangyu Pan, Lun Hu
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) - [c27]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 - [c26]Yuan Zhang, David Koepke, Bibo Hao, Jing Mei, Xu Min, Rachna Gupta, Rajashree Joshi, Fiona McNaughton, Zhan-Heng Chen
Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities. ICIC (1) 2022: 739-752 - 2021
- [j11]Yu-An Huang
Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning. Briefings Bioinform. 22(3) (2021) - [j10]Lun Hu
A survey on computational models for predicting protein-protein interactions. Briefings Bioinform. 22(5) (2021) - [j9]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) - [j8]Tiantian He
Multi-source propagation aware network clustering☆. Neurocomputing 453: 119-130 (2021) - [j7]Pengwei Hu
Learning from low-rank multimodal representations for predicting disease-drug associations. BMC Medical Informatics Decis. Mak. 21(1): 308 (2021) - [c25]Zhenfeng Li, Pengwei Hu, Lun Hu:
An Ensemble Learning Algorithm for Predicting HIV-1 Protease Cleavage Sites. ICIC (3) 2021: 509-521 - [c24]Xue Han, Qing Wang, Zhan-Heng Chen
OnSum: Extractive Single Document Summarization Using Ordered Neuron LSTM. ICIC (2) 2021: 605-615 - 2020
- [j6]Yu-An Huang
Graph convolution for predicting associations between miRNA and drug resistance. Bioinform. 36(3): 851-858 (2020) - [j5]Pengwei Hu
Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1516-1524 (2020) - [j4]Lun Hu
Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 2017-2028 (2020) - [c23]Hui Su, Xiaoyu Shen, Sanqiang Zhao, Xiao Zhou, Pengwei Hu, Randy Zhong, Cheng Niu, Jie Zhou:
Diversifying Dialogue Generation with Non-Conversational Text. ACL 2020: 7087-7097 - [c22]Hao-Yuan Li, Zhu-Hong You, Zheng-Wei Li
A Network Embedding-Based Method for Predicting miRNA-Disease Associations by Integrating Multiple Information. ICIC (3) 2020: 367-377 - [c21]Bo-Ya Ji
A MapReduce-Based Parallel Random Forest Approach for Predicting Large-Scale Protein-Protein Interactions. ICIC (3) 2020: 400-407 - [c20]Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng
Embracing Disease Progression with a Learning System for Real World Evidence Discovery. ICIC (2) 2020: 524-534 - [c19]Xiaojuan Wang, Pengwei Hu, Lun Hu:
A Novel Stochastic Block Model for Network-Based Prediction of Protein-Protein Interactions. ICIC (2) 2020: 621-632 - [c18]Pengwei Hu, Chenhao Lin, Hui Su, Shaochun Li, Xue Han, Yuan Zhang, Jing Mei:
BlueMemo: Depression Analysis through Twitter Posts. IJCAI 2020: 5252-5254 - [c17]Yanfei Wang, Jie Ma, Bibo Hao, Pengwei Hu, Xiaoqian Wang, Jing Mei, Shaochun Li:
Automatic Depression Detection via Facial Expressions Using Multiple Instance Learning. ISBI 2020: 1933-1936 - [c16]Chenhao Lin, Pengwei Hu, Hui Su, Shaochun Li, Jing Mei, Jie Zhou, Henry Leung:
SenseMood: Depression Detection on Social Media. ICMR 2020: 407-411 - [i2]Hui Su, Xiaoyu Shen, Sanqiang Zhao, Xiao Zhou, Pengwei Hu, Randy Zhong, Cheng Niu, Jie Zhou:
Diversifying Dialogue Generation with Non-Conversational Text. CoRR abs/2005.04346 (2020)
2010 – 2019
- 2019
- [c15]Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou:
Improving Multi-turn Dialogue Modelling with Utterance ReWriter. ACL (1) 2019: 22-31 - [c14]Pengwei Hu, Zhaomeng Niu, Shaochun Li:
Cancer Patients' Emotional Health Discovering: Influences of Health Literacy, Fatalism and Peer Support. AMIA 2019 - [c13]Pengwei Hu, Shaochun Li, Yu-An Huang
Predicting Hospital Readmission of Diabetics using Deep Forest. ICHI 2019: 1-2 - [c12]Yu-An Huang, Zhi-An Huang
Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences. ICIC (2) 2019: 138-150 - [c11]Pengwei Hu, Yu-An Huang
Learning from Deep Representations of Multiple Networks for Predicting Drug-Target Interactions. ICIC (2) 2019: 151-161 - [c10]Zhan-Heng Chen
Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins. ICIC (1) 2019: 166-174 - [c9]Pengwei Hu, Eryu Xia, Shochun Li, Xin Du, Changsheng Ma, Jianzeng Dong
Network-Based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data. MedInfo 2019: 1480-1481 - [c8]Pengwei Hu, Shochun Li, Zhaomeng Niu:
Prediction of Synergistic Drug Combinations by Learning from Deep Representations of Multiple Networks. MedInfo 2019: 1482-1483 - [i1]Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou:
Improving Multi-turn Dialogue Modelling with Utterance ReWriter. CoRR abs/1906.07004 (2019) - 2018
- [j3]Tiantian He
Learning Latent Factors for Community Identification and Summarization. IEEE Access 6: 30137-30148 (2018) - [c7]Hui Su, Xiaoyu Shen, Pengwei Hu, Wenjie Li, Yun Chen:
Dialogue Generation With GAN. AAAI 2018: 8163-8164 - [c6]Pengwei Hu, Zhaomeng Niu, Tiantian He
Learning Deep Representations in Large Integrated Network for Graph Clustering. AIKE 2018: 101-105 - [c5]Pengwei Hu, Zhu-Hong You
Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction. BIBM 2018: 1163-1169 - [c4]Pengwei Hu, Yu-An Huang
Discovering an Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions. ICIC (1) 2018: 539-545 - 2017
- [j2]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) - [c3]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 - [c2]Pengwei Hu, Tiantian He
Deep Fusion of Multiple Networks for Learning Latent Social Communities. ICTAI 2017: 765-771 - [c1]Pengwei Hu, Keith C. C. Chan, Tiantian He
Deep Graph Clustering in Social Network. WWW (Companion Volume) 2017: 1425-1426 - 2016
- [j1]Yu-An Huang
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features. Neurocomputing 218: 131-138 (2016)
Coauthor Index
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