基本信息
胡鹏伟 男 博导 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
招生信息
081203-计算机应用技术/人工智能、生物信息
每年招收博士生2-3名，硕士生2-3名
常年招收博士后
招生专业
081203-计算机应用技术
招生方向
数据处理与分析
人工智能
生物信息
人工智能
生物信息
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
社会兼职
2024-01-01-今,中国计算机学会生物信息专委会, 执行委员
2023-06-01-今,中国生物工程学会计算与生信专委会, 委员
2023-01-01-今,BMC Bioinformatics, 编委
2022-01-01-今,BMC Medical Informatics and Decision Making, 编委
2021-01-01-今,Revue d‘Intelligence Artificielle, 荣誉编委
2023-06-01-今,中国生物工程学会计算与生信专委会, 委员
2023-01-01-今,BMC Bioinformatics, 编委
2022-01-01-今,BMC Medical Informatics and Decision Making, 编委
2021-01-01-今,Revue d‘Intelligence Artificielle, 荣誉编委
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
奖励信息
（1） 新疆自治区自然科学一等奖, 一等奖, 省级, 2023
出版信息
发表论文
[1] Xiaorui Su, 胡鹏伟, Dongxu Li, Bowei Zhao, 胡伦. Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning. Nature Biomedical Engineering[J]. 2025, 第 2 作者null(null): https://www.nature.com/articles/s41551-024-01312-5.
[2] Pengwei Hu, Xun Deng, Feng Tan, Lun Hu. Multi-Axis Attention with Convolution Parallel Block for Organoid Segmentation. IEEE/CAA Journal of Automatica Sinica[J]. 2024, 第 1 作者11(5): https://ieeexplore.ieee.org/abstract/document/10500717.
[3] Pengwei Hu, Lun Hu, Fei Wang, Jing Mei. Editorial: Computing and artificial intelligence in digital therapeutics. FRONTIERS IN MEDICINE[J]. 2024, 第 1 作者10: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10796466/.
[4] Lun Hu, Menglong Zhang, 胡鹏伟, Jun Zhang, Chao Niu, Xueying Lu, Xiangrui Jiang, Yupeng Ma. Dual-channel hypergraph convolutional network for predicting herb–disease associations. Briefings in Bioinformatics[J]. 2024, 第 3 作者24(2): https://academic.oup.com/bib/article/25/2/bbae067/7616741.
[5] Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, 胡鹏伟, Xi Zhou, Lun Hu. Discovering consensus regions for interpretable identification of rna n6-methyladenosine modification sites via graph contrastive clustering. Ieee journal of biomedical and health informatics[J]. 2024, 第 5 作者https://ieeexplore.ieee.org/abstract/document/10413556.
[6] Le Tong, Tianjiu Li, Qian Zhang, Qin Zhang, Renchaoli Zhu, Wei Du, 胡鹏伟. LiViT-Net: A U-Net-like, lightweight Transformer network for retinal vessel segmentation. Computational and Structural Biotechnology Journal[J]. 2024, 第 7 作者https://www.sciencedirect.com/science/article/pii/S2001037024000564.
[7] Yue-Chao Li, Zhu-Hong You, Chang-Qing Yu, Lei Wang, Lun Hu, 胡鹏伟, Yan Qiao, Xin-Fei Wang, Yu-An Huang. DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information. Briefings in Functional Genomics[J]. 2024, 第 6 作者https://academic.oup.com/bfg/article-abstract/23/3/276/7236684.
[8] Bo-Wei Zhao, Yi-Zhou He, Xiao-Rui Su, Yue Yang, Guo-Dong Li, Yu-An Huang, 胡鹏伟, Zhu-Hong You, Lun Hu. Motif-Aware miRNA-Disease Association Prediction Via Hierarchical Attention Network. IEEE Journal of Biomedical and Health Informatics[J]. 2024, 第 7 作者https://ieeexplore.ieee.org/abstract/document/10487010/authors#authors.
[9] Bo-Wei Zhao, Lei Wang, 胡鹏伟, Leon Wong, Xiao-Rui Su, Bao-Quan Wang, Zhu-Hong You, Lun Hu. Fusing higher and lower-order biological information for drug repositioning via graph representation learning. IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING[J]. 2024, 第 3 作者12(1): 163-176, https://ieeexplore.ieee.org/abstract/document/10034475.
[10] Xiaorui Su, 胡鹏伟, Zhu-Hong You, S Yu Philip, Lun Hu. Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer. AAAI Conference on Artificial Intelligence. 2024, 第 2 作者null(null): https://ojs.aaai.org/index.php/AAAI/article/view/27777.
[11] Su, Xiaorui, Hu, Pengwei, Yi, Haicheng, You, Zhuhong, Hu, Lun. Predicting Drug-Target Interactions Over Heterogeneous Information Network. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2023, 第 2 作者27(1): 562-572, http://dx.doi.org/10.1109/JBHI.2022.3219213.
[12] Luo, Xin, Wang, Liwei, Hu, Pengwei, Hu, Lun. Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2023, 第 3 作者 通讯作者 20(5): 3182-3194, http://dx.doi.org/10.1109/TCBB.2023.3273567.
[13] Li, YueChao, You, ZhuHong, Yu, ChangQing, Wang, Lei, Wong, Leon, Hu, Lun, Hu, PengWei, Huang, YuAn. PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2023, 第 7 作者27(1): 573-582, http://dx.doi.org/10.1109/JBHI.2022.3217433.
[14] Wu, YangHan, Huang, YuAn, Li, JianQiang, You, ZhuHong, Hu, PengWei, Hu, Lun, Leung, Victor C M, Du, ZhiHua. Knowledge graph embedding for profiling the interaction between transcription factors and their target genes. PLOS COMPUTATIONAL BIOLOGY[J]. 2023, 第 5 作者19(6): http://dx.doi.org/10.1371/journal.pcbi.1011207.
[15] Wang, Qing, Peng, Shuyuan, Zha, Zhiyuan, Han, Xue, Deng, Chao, Hu, Lun, Hu, Pengwei. Enhancing the conversational agent with an emotional support system for mental health digital therapeutics. FRONTIERS IN PSYCHIATRY[J]. 2023, 第 7 作者 通讯作者 14: http://dx.doi.org/10.3389/fpsyt.2023.1148534.
[16] Zhao, BoWei, Su, XiaoRui, Hu, PengWei, Huang, YuAn, You, ZhuHong, Hu, Lun. iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network. BIOINFORMATICS. 2023, 第 3 作者39(8): http://dx.doi.org/10.1093/bioinformatics/btad451.
[17] Han, Xue, Wang, YiTong, Feng, JunLan, Deng, Chao, Chen, ZhanHeng, Huang, YuAn, Su, Hui, Hu, Lun, Hu, PengWei. A survey of transformer-based multimodal pre-trained modals. NEUROCOMPUTING[J]. 2023, 第 9 作者 通讯作者 515: 89-106, http://dx.doi.org/10.1016/j.neucom.2022.09.136.
[18] Xue Han, Yitong Wang, Qian Hu, 胡鹏伟, Chao Deng, 冯俊兰. Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue. EMNLP 2023. 2023, 第 4 作者
[19] Zhao, BoWei, Su, XiaoRui, Yang, Yue, Li, DongXu, Li, GuoDong, Hu, PengWei, Zhao, YongGang, Hu, Lun. Drug-disease association prediction using semantic graph and function similarity representation learning over heterogeneous information networks. METHODS[J]. 2023, 第 6 作者220: 106-114, http://dx.doi.org/10.1016/j.ymeth.2023.10.014.
[20] Li, Jiajia, Tan, Feng, He, Cheng, Wang, Zikai, Song, Haitao, Hu, Pengwei, Luo, Xin. Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS. 2023, 第 6 作者 通讯作者 http://dx.doi.org/10.1109/TII.2023.3315369.
[21] DongXu Li, Peng Zhou, BoWei Zhao, XiaoRui Su, GuoDong Li, Jun Zhang, PengWei Hu, Lun Hu. Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks. BMC BIOINFORMATICS. 2023, 第 7 作者24: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685597/.
[22] Tingting Wang, Xin Zheng, Zhaomeng Niu, Pengwei Hu, Ruiqi Dong, Zhihan Tang. Investigating the relationships between emotional experiences and behavioral responses amid the Covid‐19 pandemic: A cross‐sectional survey. HEALTH CARE SCIENCE[J]. 2023, 第 4 作者2(1): 25-35, https://doaj.org/article/078defddf3294e929df79179ea27ab89.
[23] Cui, Yuting, Chen, Yanyu, Gan, Ni, Li, Man, Liao, Wei, Zhou, Yating, Xiang, Qiong, Gong, Xi, Guo, Qianqian, Hu, Pengwei, Zheng, XiLong, Shang, Desi, Peng, Juan, Tang, Zhihan. A novel cuproptosis-related diagnostic gene signature and differential expression validation in atherosclerosis. MOLECULAR BIOMEDICINE[J]. 2023, 第 10 作者4(1): http://dx.doi.org/10.1186/s43556-023-00131-5.
[24] Li, Jiajia, Han, Xue, Qin, Yiming, Tan, Feng, Chen, Yulong, Wang, Zikai, Song, Haitao, Zhou, Xi, Zhang, Yuan, Hu, Lun, Hu, Pengwei. Artificial intelligence accelerates multi-modal biomedical process: A Survey. NEUROCOMPUTING[J]. 2023, 第 11 作者 通讯作者 558: http://dx.doi.org/10.1016/j.neucom.2023.126720.
[25] Jiajia Li, Chenhao Lin, Zikai Wang, Haitao Song, Feng Tan, Lun Hu, 胡鹏伟. MLGL: Model-free Lesion Generation and Learning for Diabetic Retinopathy Diagnosis. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2023, 第 7 作者null(null): https://ieeexplore.ieee.org/abstract/document/10385724.
[26] Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, 胡鹏伟, Lun Hu. Learning RNA sequence patterns to interpretably identify m6A modification sites G Li, B Zhao, X Su, Y Yang, P Hu, L Hu. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2023, 第 5 作者https://ieeexplore.ieee.org/abstract/document/10386062.
[27] 胡鹏伟, 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. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2023, 第 1 作者null(null): https://ieeexplore.ieee.org/abstract/document/10385590.
[28] Zhao, BoWei, Su, XiaoRui, Li, DongXu, Li, GuoDong, Hu, PengWei, Zhao, YongGang, Hu, Lun. A Graph Deep Learning-Based Framework for Drug-Disease Association Identification with Chemical Structure Similarities. JOURNAL OF COMPUTATIONAL BIOPHYSICS AND CHEMISTRY. 2023, 第 5 作者http://dx.doi.org/10.1142/S2737416523410053.
[29] Xun Deng, Zhu-Hong You, Lun Hu, 胡鹏伟. CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection Model. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2023, 第 4 作者https://ieeexplore.ieee.org/abstract/document/10385689.
[30] Yue Yang, Xiaorui Su, Bowei Zhao, GuoDong Li, 胡鹏伟, Jun Zhang, Lun Hu. Fuzzy-based deep attributed graph clustering. IEEE Transactions on Fuzzy Systems[J]. 2023, 第 5 作者https://ieeexplore.ieee.org/abstract/document/10339895.
[31] Zhao, BoWei, Su, XiaoRui, Hu, PengWei, Ma, YuPeng, Zhou, Xi, Hu, Lun. A geometric deep learning framework for drug repositioning over heterogeneous information networks. BRIEFINGS IN BIOINFORMATICS[J]. 2022, 第 3 作者23(6): http://dx.doi.org/10.1093/bib/bbac384.
[32] Su, XiaoRui, Hu, Lun, You, ZhuHong, Hu, PengWei, Zhao, BoWei. Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction. BMC BIOINFORMATICS[J]. 2022, 第 4 作者23(1): https://doaj.org/article/5310e398dee646ec9a2c2cb3af0686cc.
[33] Su, Xiaorui, Hu, Lun, You, Zhuhong, Hu, Pengwei, Zhao, Bowei. Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions. BRIEFINGS IN BIOINFORMATICS[J]. 2022, 第 4 作者23(3): http://dx.doi.org/10.1093/bib/bbac140.
[34] Su, Xiaorui, Hu, Lun, You, Zhuhong, Hu, Pengwei, Wang, Lei, Zhao, Bowei. 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[J]. 2022, 第 4 作者23(1): http://dx.doi.org/10.1093/bib/bbab526.
[35] Hu, Lun, Li, Zhenfeng, Tang, Zehai, Zhao, Cheng, Zhou, Xi, Hu, Pengwei. Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach. BMC BIOINFORMATICS[J]. 2022, 第 6 作者 通讯作者 23(1): http://dx.doi.org/10.1186/s12859-022-04999-y.
[36] Wei, Xing, Liu, Yuqing, Li, Jiajia, Chu, Huiyong, Zhang, Zichen, Tan, Feng, Hu, Pengwei. B-AT-KD: Binary attention map knowledge distillation. NEUROCOMPUTING[J]. 2022, 第 7 作者511: 299-307, http://dx.doi.org/10.1016/j.neucom.2022.09.064.
[37] Niu, Zhaomeng, Qin, Zhou, Hu, Pengwei, Wang, Tingting. Health Beliefs, Trust in Media Sources, Health Literacy, and Preventive Behaviors among High-Risk Chinese for COVID-19. HEALTH COMMUNICATION[J]. 2022, 第 3 作者37(8): 1004-1012, http://dx.doi.org/10.1080/10410236.2021.1880684.
[38] Pan, Xiangyu, Hu, Lun, Hu, Pengwei, You, ZhuHong. Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2022, 第 3 作者19(5): 2882-2893,
[39] Hu, Lun, Wang, Xiaojuan, Huang, YuAn, Hu, Pengwei, You, ZhuHong. A survey on computational models for predicting protein-protein interactions. BRIEFINGS IN BIOINFORMATICS. 2021, 第 4 作者22(5): http://dx.doi.org/10.1093/bib/bbab036.
[40] Huang, YuAn, Chan, Keith C C, You, ZhuHong, Hu, Pengwei, Wang, Lei, Huang, ZhiAn. Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning. BRIEFINGS IN BIOINFORMATICS[J]. 2021, 第 4 作者22(3): http://dx.doi.org/10.1093/bib/bbaa133.
[41] Hu, Lun, Pan, Xiangyu, Yan, Hong, Hu, Pengwei, He, Tiantian. Exploiting higher-order patterns for community detection in attributed graphs. INTEGRATED COMPUTER-AIDED ENGINEERING[J]. 2021, 第 4 作者 通讯作者 28(2): 207-218, http://dx.doi.org/10.3233/ICA-200645.
[42] Lun Hu, Xiaojuan Wang, YuAn Huang, Pengwei Hu, ZhuHong You. A Novel Network-Based Algorithm for Predicting Protein-Protein Interactions Using Gene Ontology. FRONTIERS IN MICROBIOLOGY[J]. 2021, 第 4 作者12: https://doaj.org/article/6fc21a09a16640198dbe84d5c752b154.
[43] He, Tiantian, Ong, YewSoon, Hu, Pengwei. Multi-source propagation aware network clustering*. NEUROCOMPUTING[J]. 2021, 第 3 作者 通讯作者 453: 119-130, http://dx.doi.org/10.1016/j.neucom.2021.04.064.
[44] Chenhao Lin, 胡鹏伟, Hui Su, Shaochun Li, Jing Mei, Jie Zhou, Henry Leung. Bluememo: depression analysis through twitter posts. 2020 international conference on multimedia retrieval. 2021, 第 2 作者https://dl.acm.org/doi/abs/10.1145/3372278.3391932.
[45] Hu, Pengwei, Kuang, Zemin, He, Tiantian, Huang, Yuan, Tang, Zefang, Li, Shaochun, Mei, Jing. Profiling MicroRNA (miRNA) and Metabolic Disease Association by Using Diffusion Model. DIABETES. 2020, 第 1 作者69: https://www.webofscience.com/wos/woscc/full-record/WOS:000554509805015.
[46] Su, Hui, Shen, Xiaoyu, Zhao, Sanqiang, Zhou, Xiao, Hu, Pengwei, Zhong, Randy, Niu, Cheng, Zhou, Jie. Diversifying Dialogue Generation with Non-Conversational Text. 2020, 第 5 作者http://arxiv.org/abs/2005.04346.
[47] Huang, YuAn, Hu, Pengwei, Chan, Keith C C, You, ZhuHong. Graph convolution for predicting associations between miRNA and drug resistance. BIOINFORMATICS[J]. 2020, 第 2 作者36(3): 851-858, http://dx.doi.org/10.1093/bioinformatics/btz621.
[48] Hu, Pengwei, Di, Xin, Zhang, Yuan, Tang, Zefang, Li, Shaochun, Mei, Jing, Ma, Changsheng. 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69: https://www.webofscience.com/wos/woscc/full-record/WOS:000554509801216.
[49] Niu, Zhaomeng, Willoughby, Jessica Fitts, Mei, Jing, Li, Shaochun, Hu, Pengwei. 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[J]. 2020, 第 5 作者 通讯作者 22(5): https://doaj.org/article/619d6f0bd5014cea9ccd73748c0563a4.
[50] Hu, Lun, Hu, Pengwei, Luo, Xin, Yuan, Xiaohui, You, ZhuHong. Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2020, 第 2 作者17(6): 2017-2028, http://dx.doi.org/10.1109/TCBB.2019.2914208.
[51] Hu, Pengwei, Huang, YuAn, Chan, Keith C C, You, ZhuHong. Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2020, 第 1 作者 通讯作者 17(5): 1516-1524, http://dx.doi.org/10.1109/TCBB.2019.2957094.
[52] Niu, Zhaomeng, Wang, Tingting, Hu, Pengwei, Mei, Jing, Tang, Zhihan. 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[J]. 2020, 第 3 作者22(8): https://doaj.org/article/175e5f525941424d8d5f69a4d99741ac.
[53] Wang, Yanfei, Ma, Jie, Hao, Bibo, Hu, Pengwei, Wang, Xiaoqian, Mei, Jing, Li, Shaochun, IEEE. 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1933-1936, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000578080300383.
[54] Tang, Zefang, Wang, Jingjing, Zhang, Yuan, Hu, Pengwei, Mei, Jing, Li, Shoachun. Uncovering the Disease Progression Profile of the Patients with Type 2 Diabetes Mellitus and Atrial Fibrillation. DIABETES. 2020, 第 4 作者69: https://www.webofscience.com/wos/woscc/full-record/WOS:000554509803179.
[55] Zhang, Yuan, Chen, Yixin, Deng, Junhao, Hu, Pengwei, Tang, Zefang, Mei, Jing, Li, Shoachun. Effect of SGLT2 on Cardiovascular Events in Type 2 Diabetic Patients with Atrial Fibrillation. DIABETES. 2020, 第 4 作者69: https://www.webofscience.com/wos/woscc/full-record/WOS:000554509802392.
[56] Zemin Kuang, Henry Leung, Jing Mei, Yuan Huang, Zhuhong You, Pengwei Hu, Zhanheng Chen, Lun Hu. Learning from low-rank multimodal representations for predicting disease-drug associations. BMC MEDICAL INFORMATICS AND DECISION MAKING. 202, 第 6 作者http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA202112044648875ZK.
[57] ZhanHeng Chen, ZhuHong You, LiPing Li, YanBin Wang, Yu Qiu, PengWei Hu. Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter. BMC GENOMICS[J]. 2019, 第 6 作者20(S13): 1-10, https://doaj.org/article/c4344841537b4db394036a35db37c672.
[58] Su Hui, Shen Xiaoyu, Zhang Rongzhi, Sun Fei, Hu Pengwei, Niu Cheng, Zhou Jie, ACL, Korhonen A, Traum D, Marquez L. Improving Multi-turn Dialogue Modelling with Utterance ReWriter. 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019). 2019, 第 5 作者22-31, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000493046100003.
[59] 胡鹏伟, 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. International Conference on Intelligent Computing. 2019, 第 1 作者null(null): https://link.springer.com/chapter/10.1007/978-3-030-26969-2_14.
[60] 胡鹏伟, Shochun Li, Zhaomeng Niu. Prediction of synergistic drug combinations by learning from deep representations of multiple networks. MEDINFO 2019. 2019, 第 1 作者null(null): https://ebooks.iospress.nl/doi/10.3233/SHTI190495.
[61] 胡鹏伟, Shaochun Li, Yu-an Huang, Lun HU. Predicting hospital readmission of diabetics using deep forest. 2019 IEEE International Conference on Healthcare Informatics(ICHI). 2019, 第 1 作者null(null): https://ieeexplore.ieee.org/abstract/document/8904556.
[62] Su, Hui, Shen, Xiaoyu, Hu, Pengwei, Li, Wenjie, Chen, Yun, AAAI. 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8163-8164, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488908098.
[63] Hu Pengwei, Niu Zhaomeng, He Tiantian, Chan Keith C C, IEEE. Learning Deep Representations in Large Integrated Network for Graph Clustering. 2018 IEEE FIRST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING (AIKE). 2018, 第 1 作者 通讯作者 101-105, http://dx.doi.org/10.1109/AIKE.2018.00022.
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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 ） 新疆杰出青年科学基金, 负责人, 地方任务, 2024-01--2026-12
（ 2 ） 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
（ 3 ） 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--2027-12
（ 4 ） 天池计划领军人才, 负责人, 地方任务, 2023-03--2026-03
（ 5 ） 海外高层次人才引进计划, 负责人, 国家任务, 2022-12--2025-12
（ 2 ） 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
（ 3 ） 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--2027-12
（ 4 ） 天池计划领军人才, 负责人, 地方任务, 2023-03--2026-03
（ 5 ） 海外高层次人才引进计划, 负责人, 国家任务, 2022-12--2025-12
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
尤璐 硕士研究生 085404-计算机技术