Pengwei Hu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 74

Top Topics

Drug Resistance

Diabetic Retinopathy

Protein Interaction

Top Venues

Publications

Pengwei Hu, Jian Yang, Xiang Yu, Jianzhong Qiao, Lei Guo
Underwater Autonomous Geolocalization Using Time Differential Polarization Field Against Measurement Deviations. IEEE Trans. Aerosp. Electron. Syst. 60 (1) (2024)
Pengwei Hu, Jian Yang, Jianzhong Qiao, Wenshuo Li, Lei Guo
Underwater Downwelling Radiance Fields Enable Three-Dimensional Attitude and Heading Determination. IEEE Trans. Ind. Informatics 20 (2) (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)
Jiajia Li, Feng Tan, Cheng He, Zikai Wang, Haitao Song, Pengwei Hu, Xin Luo
Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations. IEEE Trans. Ind. Informatics 20 (3) (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)
Teng Zhang, Jian Yang, Qian Zhao, Xin Liu, Pengwei Hu, Xiang Yu, Lei Guo
Bio-Inspired Antagonistic Differential Polarization Algorithm for Heading Determination in Underwater Low-Light Environments. IEEE Trans. Ind. Informatics 20 (4) (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)
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)
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)
Zixuan Yang, Chenhao Lin, Pengwei Hu, Chao Shen
DeepSensitive: A Fuzzing Test for Deep Neural Networks with Sensitive Neurons. ICAI (1) (2023)
Bowen Pei, Jingyi Deng, Chenhao Lin, Pengwei Hu, Chao Shen
Deepfake Detection Performance Evaluation and Enhancement Through Parameter Optimization. ICAI (2) (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)
Jinping Zou, Jialin Yu, Pengwei Hu, Long Zhao, Shao-Ping Shi
STAGAN: An approach for improve the stability of molecular graph generation based on generative adversarial networks. Comput. Biol. Medicine 167 (2023)
Xue Han, Yitong Wang, Qian Hu, Pengwei Hu, Chao Deng, Junlan Feng
Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue. EMNLP (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)
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)
Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, Pengwei Hu, Lun Hu
Learning RNA sequence patterns to interpretably identify m6A modification sites. BIBM (2023)
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)
Jiajia Li, Ling Dai, Feng Tan, Hui Shen, Zikai Wang, Bin Sheng, Pengwei Hu
CDX-NET: Cross-Domain Multi-Feature Fusion Modeling Via Deep Neural Networks for Multivariate Time Series Forecasting in AIOps. ICASSP (2022)
Pengwei Hu, Panpan Huang, Zhenbing Qiu, Jian Yang, Xin Liu
A 3D Attitude Estimation Method Based on Attitude Angular Partial Feedback for Polarization-Based Integrated Navigation System. Sensors 22 (3) (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)
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)
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)
Jiajia Li, Feng Tan, Cheng He, Zikai Wang, Haitao Song, Lingfei Wu, Pengwei Hu
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps. CoRR (2022)
Xing Wei, Yuqing Liu, Jiajia Li, Huiyong Chu, Zichen Zhang, Feng Tan, Pengwei Hu
B-AT-KD: Binary attention map knowledge distillation. Neurocomputing 511 (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)
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)
Tiantian He, Yew-Soon Ong, Pengwei Hu
. Neurocomputing 453 (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, Hong Yan, Pengwei Hu, Tiantian He
Exploiting higher-order patterns for community detection in attributed graphs. Integr. Comput. Aided Eng. 28 (2) (2021)
Yu-An Huang, Keith C. C. Chan, Zhu-Hong You, Pengwei Hu, Lei Wang, Zhi-An Huang
Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning. Briefings Bioinform. 22 (3) (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)
Pengwei Hu, Chenhao Lin, Hui Su, Shaochun Li, Xue Han, Yuan Zhang, Jing Mei
BlueMemo: Depression Analysis through Twitter Posts. IJCAI (2020)
Bo-Ya Ji, Zhu-Hong You, Long Yang, Ji-Ren Zhou, Pengwei Hu
A MapReduce-Based Parallel Random Forest Approach for Predicting Large-Scale Protein-Protein Interactions. ICIC (3) (2020)
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)
Hui Su, Xiaoyu Shen, Sanqiang Zhao, Xiao Zhou, Pengwei Hu, Randy Zhong, Cheng Niu, Jie Zhou
Diversifying Dialogue Generation with Non-Conversational Text. CoRR (2020)
Yu-An Huang, Pengwei Hu, Keith C. C. Chan, Zhu-Hong You
Graph convolution for predicting associations between miRNA and drug resistance. Bioinform. 36 (3) (2020)
Chenhao Lin, Pengwei Hu, Hui Su, Shaochun Li, Jing Mei, Jie Zhou, Henry Leung
SenseMood: Depression Detection on Social Media. ICMR (2020)
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)
Pengwei Hu, Yu-An Huang, Keith C. C. Chan, Zhu-Hong You
Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
Xiaojuan Wang, Pengwei Hu, Lun Hu
A Novel Stochastic Block Model for Network-Based Prediction of Protein-Protein Interactions. ICIC (2) (2020)
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)
Hao-Yuan Li, Zhu-Hong You, Zheng-Wei Li, Ji-Ren Zhou, Pengwei Hu
A Network Embedding-Based Method for Predicting miRNA-Disease Associations by Integrating Multiple Information. ICIC (3) (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)
Xue Han, Lianxue Hu, Lijun Mei, Yabin Dang, Shivali Agarwal, Xin Zhou, Pengwei Hu
A-BPS: Automatic Business Process Discovery Service using Ordered Neurons LSTM. ICWS (2020)
Pengwei Hu, Zhaomeng Niu, Shaochun Li
Cancer Patients' Emotional Health Discovering: Influences of Health Literacy, Fatalism and Peer Support. AMIA (2019)
Pengwei Hu, Shaochun Li, Yu-An Huang, Lun Hu
Predicting Hospital Readmission of Diabetics using Deep Forest. ICHI (2019)
Zhan-Heng Chen, Zhu-Hong You, Li-Ping Li, Zhen-Hao Guo, Pengwei Hu, Han-Jing Jiang
Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins. ICIC (1) (2019)
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)
Pengwei Hu, Eryu Xia, Shochun Li, Xin Du, Changsheng Ma, Jianzeng Dong, Keith C. C. Chan
Network-Based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data. MedInfo (2019)
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou
Improving Multi-turn Dialogue Modelling with Utterance ReWriter. CoRR (2019)
Yu-An Huang, Zhi-An Huang, Zhu-Hong You, Pengwei Hu, Li-Ping Li, Zheng-Wei Li, Lei Wang
Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences. 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)
Pengwei Hu, Shochun Li, Zhaomeng Niu
Prediction of Synergistic Drug Combinations by Learning from Deep Representations of Multiple Networks. MedInfo (2019)
Hui Su, Xiaoyu Shen, Pengwei Hu, Wenjie Li, Yun Chen
Dialogue Generation With GAN. AAAI (2018)
Tiantian He, Lun Hu, Keith C. C. Chan, Pengwei Hu
Learning Latent Factors for Community Identification and Summarization. IEEE Access 6 (2018)
Pengwei Hu, Yu-An Huang, Keith C. C. Chan, Zhu-Hong You
Discovering an Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions. ICIC (1) (2018)
Pengwei Hu, Zhu-Hong You, Tiantian He, Shaochun Li, Shuhang Gu, Keith C. C. Chan
Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction. BIBM (2018)
Pengwei Hu, Zhaomeng Niu, Tiantian He, Keith C. C. Chan
Learning Deep Representations in Large Integrated Network for Graph Clustering. AIKE (2018)
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)
Pengwei Hu, Tiantian He, Keith C. C. Chan, Henry Leung
Deep Fusion of Multiple Networks for Learning Latent Social Communities. ICTAI (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)
Pengwei Hu, Keith C. C. Chan, Tiantian He
Deep Graph Clustering in Social Network. WWW (Companion Volume) (2017)
Yu-An Huang, Zhu-Hong You, Xiao Li, Xing Chen, Pengwei Hu, Shuai Li, Xin Luo
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features. Neurocomputing 218 (2016)