基本信息
胡鹏伟  男  硕导  中国科学院新疆理化技术研究所
电子邮件: hpw@ms.xjb.ac.cn
通信地址: 新疆乌鲁木齐市北京南路40-1号
邮政编码: 830011

研究领域

人工智能,生物信息,智慧医疗,类器官

招生信息

招收人工智能、生物信息和智慧医疗等方向研究生。

招生专业
081203-计算机应用技术
085400-电子信息
0812J3-生物信息学
招生方向
人工智能
生物信息
数字医疗

教育背景

2012-11--2019-03   香港理工大学   博士学位
学位
博士,计算机科学,香港理工大学

工作经历

研究员,中国科学院新疆理化所技术研究所

人工智能首席科学家,德国默克集团

研究员,IBM

专利与奖励

•中国计算机学会,生物信息专委会,执行委员

中国生物工程学会生物医药大数据专委会,委员 

•中国生物工程学会计算与生物信息专委会,委员

•The International Joint Conference on Neural Networks (IJCNN) 2021,分会主席 

•International Conference on Intelligent Computing (ICIC) 2020-2022,分会主席 

•IEEE International Conference on (SMC) 2020, 分会主席

WAIC世界人工智能大会 2023 BPAA,银奖

International Conference on Intelligent Computing 2023,Best Paper 最佳论文

•IJCAI 2020 DCM Workshop,Best Paper 最佳论文

中华医学会智能辅助诊疗创新大赛2022,一等奖 

•中国中文信息学会智能医疗对话诊疗大赛2021,三等奖

出版信息

   
发表论文
(1) Predicting Drug-Target Interactions Over Heterogeneous Information Network, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 第 2 作者
(2) PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 第 7 作者
(3) Knowledge graph embedding for profiling the interaction between transcription factors and their target genes, PLOS COMPUTATIONAL BIOLOGY, 2023, 第 5 作者
(4) Enhancing the conversational agent with an emotional support system for mental health digital therapeutics, FRONTIERS IN PSYCHIATRY, 2023, 通讯作者
(5) iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network, BIOINFORMATICS, 2023, 第 3 作者
(6) A survey of transformer-based multimodal pre-trained modals, NEUROCOMPUTING, 2023, 通讯作者
(7) Drug-disease association prediction using semantic graph and function similarity representation learning over heterogeneous information networks, METHODS, 2023, 第 6 作者
(8) Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue, EMNLP 2023, 2023, 第 4 作者
(9) Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 通讯作者
(10) Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks, BMC BIOINFORMATICS, 2023, 第 7 作者
(11) Investigating the relationships between emotional experiences and behavioral responses amid the Covid‐19 pandemic: A cross‐sectional survey, HEALTH CARE SCIENCE, 2023, 第 4 作者
(12) A novel cuproptosis-related diagnostic gene signature and differential expression validation in atherosclerosis, MOLECULAR BIOMEDICINE, 2023, 第 10 作者
(13) Artificial intelligence accelerates multi-modal biomedical process: A Survey, NEUROCOMPUTING, 2023, 通讯作者
(14) A geometric deep learning framework for drug repositioning over heterogeneous information networks, BRIEFINGS IN BIOINFORMATICS, 2022, 第 3 作者
(15) Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction, BMC BIOINFORMATICS, 2022, 第 4 作者
(16) Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions, BRIEFINGS IN BIOINFORMATICS, 2022, 第 4 作者
(17) 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 IN BIOINFORMATICS, 2022, 第 4 作者
(18) Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach, BMC BIOINFORMATICS, 2022, 通讯作者
(19) B-AT-KD: Binary attention map knowledge distillation, NEUROCOMPUTING, 2022, 第 7 作者
(20) Health Beliefs, Trust in Media Sources, Health Literacy, and Preventive Behaviors among High-Risk Chinese for COVID-19, HEALTH COMMUNICATION, 2022, 第 3 作者
(21) Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2022, 第 3 作者
(22) A survey on computational models for predicting protein-protein interactions, BRIEFINGS IN BIOINFORMATICS, 2021, 第 4 作者
(23) Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning, BRIEFINGS IN BIOINFORMATICS, 2021, 第 4 作者
(24) Exploiting higher-order patterns for community detection in attributed graphs, INTEGRATED COMPUTER-AIDED ENGINEERING, 2021, 通讯作者
(25) A Novel Network-Based Algorithm for Predicting Protein-Protein Interactions Using Gene Ontology, FRONTIERS IN MICROBIOLOGY, 2021, 第 4 作者
(26) Multi-source propagation aware network clustering☆, NEUROCOMPUTING, 2021, 通讯作者
(27) Profiling MicroRNA (miRNA) and Metabolic Disease Association by Using Diffusion Model, DIABETES, 2020, 第 1 作者
(28) Diversifying Dialogue Generation with Non-Conversational Text, 2020, 第 5 作者
(29) Graph convolution for predicting associations between miRNA and drug resistance, BIOINFORMATICS, 2020, 第 2 作者
(30) Development and Validation of a Predictive Major Adverse Cardiac Events (MACE) Risk Model for Diabetes Patients with Acute Coronary Syndrome (ACS), DIABETES, 2020, 第 1 作者
(31) A Cross-Cultural Comparison of an Extended Planned Risk Information Seeking Model on Mental Health Among College Students: Cross-Sectional Study, JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 通讯作者
(32) Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 第 2 作者
(33) Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 通讯作者
(34) AUTOMATIC DEPRESSION DETECTION VIA FACIAL EXPRESSIONS USING MULTIPLE INSTANCE LEARNING, 2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020), 2020, 第 4 作者
(35) Chinese Public’s Engagement in Preventive and Intervening Health Behaviors During the Early Breakout of COVID-19: Cross-Sectional Study, JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 第 3 作者
(36) Uncovering the Disease Progression Profile of the Patients with Type 2 Diabetes Mellitus and Atrial Fibrillation, DIABETES, 2020, 第 4 作者
(37) Effect of SGLT2 on Cardiovascular Events in Type 2 Diabetic Patients with Atrial Fibrillation, DIABETES, 2020, 第 4 作者
(38) Learning from low-rank multimodal representations for predicting disease-drug associations, BMC MEDICAL INFORMATICS AND DECISION MAKING, 202, 第 6 作者
(39) Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter, BMC GENOMICS, 2019, 第 6 作者
(40) Improving Multi-turn Dialogue Modelling with Utterance ReWriter, 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019), 2019, 第 5 作者
(41) Dialogue Generation with GAN, THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2018, 第 3 作者
(42) Learning Deep Representations in Large Integrated Network for Graph Clustering, 2018 IEEE FIRST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING (AIKE), 2018, 通讯作者
(43) Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction, PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2018, 通讯作者
(44) Predicting Drug-Target Interactions Based on Small Positive Samples, CURRENT PROTEIN & PEPTIDE SCIENCE, 2018, 第 1 作者
(45) Learning Latent Factors for Community Identification and Summarization, IEEEACCESS, 2018, 通讯作者
(46) Discovering an Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions, INTELLIGENT COMPUTING THEORIES AND APPLICATION, PT I, 2018, 第 1 作者
(47) Deep Fusion of Multiple Networks for Learning Latent Social Communities, 2017 IEEE 29TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2017), 2017, 通讯作者
(48) Deep Graph Clustering in Social Network, WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB, 2017, 通讯作者
(49) Efficiently predicting large-scale protein-protein interactions using MapReduce, COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2017, 第 3 作者
(50) Discovering second-order sub-structure associations in drug molecules for side-effect prediction, 2017年IEEE生物信息学和生物医学国际会议 (BIBM), 2017, 第 1 作者
(51) Large-Scale Prediction of Drug-Target Interactions from Deep Representations, 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2016, 通讯作者
(52) Construction of reliable protein–protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features, NEUROCOMPUTING, 2016, 第 5 作者
(53) Predicting Protein-Protein Interactions from Primary Protein Sequences Using a Novel Multi-Scale Local Feature Representation Scheme and the Random Forest, PLOS ONE, 2015, 第 3 作者
发表著作
(1) 数字疗法中的计算和人工智能, Computing and Artificial Intelligence in Digital Therapeutics, Frontiers, 2024-01, 第 1 作者

科研活动

   
科研项目
( 1 ) 天池计划领军人才, 负责人, 地方任务, 2023-03--2026-03
( 2 ) 新疆杰出青年科学基金, 负责人, 地方任务, 2024-01--2026-12
( 3 ) 海外高层次人才引进计划, 负责人, 国家任务, 2023-12--2026-12
( 4 ) 基于多源异构生物网络的非编码RNA 与药物关联预测研究, 负责人, 国家任务, 2024-01--2026-12
( 5 ) 知识驱动的可解释性药物重定位方法及作用机制研究, 参与, 国家任务, 2024-01--2026-12

指导学生

现指导学生

杨希文  硕士研究生  081203-计算机应用技术