Bo Wang

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	전체	2020년 이후
서지정보	18549	16843
h-index	49	47
i10-index	104	94

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Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of Torontoutoronto.ca의 이메일 확인됨
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health Networkuhnresearch.ca의 이메일 확인됨
Zhuowen TuProfessor, Cognitive Science, Computer Science&Engineering, UC San Diegoucsd.edu의 이메일 확인됨
Gary BaderProfessor of Molecular Genetics and Computer Science, The Donnelly Centre, University of Torontoutoronto.ca의 이메일 확인됨
Serafim BatzoglouSeerseer.bio의 이메일 확인됨
Wei Shen (沈为)Professor, Shanghai Jiao Tong Universitysjtu.edu.cn의 이메일 확인됨
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins Universityjhu.edu의 이메일 확인됨
Michael BrudnoProfessor of Computer Science, University of Toronto; Chief Data Scientist, UHNcs.toronto.edu의 이메일 확인됨
Jure LeskovecProfessor of Computer Science, Stanford Universitycs.stanford.edu의 이메일 확인됨
Marinka ZitnikAssistant Professor, Harvard Universityhms.harvard.edu의 이메일 확인됨
Emma PiersonUniversity of California, Berkeleyberkeley.edu의 이메일 확인됨
Xiang BaiHuazhong University of Science and Technology (HUST)hust.edu.cn의 이메일 확인됨
Marc FiumeUniversity of Torontocs.toronto.edu의 이메일 확인됨
Xinggang WangProfessor, Huazhong University of Science and Technologyhust.edu.cn의 이메일 확인됨
John K. TsotsosYork University, Canadayorku.ca의 이메일 확인됨
LONGIN JAN LATECKIProfessor of Computer Science, Temple University, Philadelphiatemple.edu의 이메일 확인됨
Cong YaoAlibaba DAMO Academytemple.edu의 이메일 확인됨
Jiayan JiangFacebook, UCLA, Fudan Universityfb.com의 이메일 확인됨
Quaid MorrisComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Centermskcc.org의 이메일 확인됨
Wayne EnrightProfessor of Computer Science, University of Torontocs.utoronto.ca의 이메일 확인됨

팔로우

Bo Wang

Chief AI Scientist,UHN; CIFAR AI Chair, Vector Institute; Assistant Professor, U of Toronto

vectorinstitute.ai의 이메일 확인됨 - 홈페이지

Machine Learning Computational Biology Computer Vision


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Moment matching for multi-source domain adaptation X Peng, Q Bai, X Xia, Z Huang, K Saenko, B Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019	2137	2019
Similarity network fusion for aggregating data types on a genomic scale B Wang, AM Mezlini, F Demir, M Fiume, Z Tu, M Brudno, B Haibe-Kains, ... Nature methods 11 (3), 333-337, 2014	1952	2014
Genetic mechanisms of critical illness in COVID-19 E Pairo-Castineira, S Clohisey, L Klaric, AD Bretherick, K Rawlik, D Pasko, ... Nature 591 (7848), 92-98, 2021	1454	2021
Segment anything in medical images J Ma, Y He, F Li, L Han, C You, B Wang Nature Communications 15 (1), 654, 2024	1312	2024
Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays A Chen, S Liao, M Cheng, K Ma, L Wu, Y Lai, X Qiu, J Yang, J Xu, S Hao, ... Cell 185 (10), 1777-1792. e21, 2022	929	2022
Mapping the human genetic architecture of COVID-19 Writing group Writing group leaders Pathak Gita A. 6 Andrews Shea J. 7 Kanai ... Nature 600 (7889), 472-477, 2021	838	2021
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning B Wang, J Zhu, E Pierson, S Batzoglou Nature Methods 14, 414-416, 2017	717	2017
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities M Zitnik, F Nguyen, B Wang, J Leskovec, A Goldenberg, MM Hoffman Information Fusion 50, 71-91, 2019	604	2019
Deep co-training for semi-supervised image recognition S Qiao, W Shen, Z Zhang, B Wang, A Yuille Proceedings of the european conference on computer vision (eccv), 135-152, 2018	580	2018
Declutr: Deep contrastive learning for unsupervised textual representations J Giorgi, O Nitski, B Wang, G Bader arXiv preprint arXiv:2006.03659, 2020	560	2020
Network Enhancement: a general method to denoise weighted biological networks B Wang, A Pourshafeie, M Zitnik, J Zhu, CD Bustamante, S Batzoglou, ... Nature Communications 9 (1), 3108, 2018	455	2018
Transparency and reproducibility in artificial intelligence B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ... Nature 586 (7829), E14-E16, 2020	417	2020
U-mamba: Enhancing long-range dependency for biomedical image segmentation J Ma, F Li, B Wang arXiv preprint arXiv:2401.04722, 2024	363	2024
scGPT: toward building a foundation model for single-cell multi-omics using generative AI H Cui, C Wang, H Maan, K Pang, F Luo, N Duan, B Wang Nature Methods, 1-11, 2024	341	2024
Whole-genome sequencing reveals host factors underlying critical COVID-19 A Kousathanas, E Pairo-Castineira, K Rawlik, A Stuckey, CA Odhams, ... Nature 607 (7917), 97-103, 2022	305	2022
Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature methods 16 (9), 843-852, 2019	291	2019
Single-shot object detection with enriched semantics Z Zhang, S Qiao, C Xie, W Shen, B Wang, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2018	259	2018
Deep regression forests for age estimation W Shen, Y Guo, Y Wang, K Zhao, B Wang, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2018	203	2018
Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification B Wang, Z Tu, JK Tsotsos	202	2013
Genome-wide CRISPR screen identifies host dependency factors for influenza A virus infection B Li, SM Clohisey, BS Chia, B Wang, A Cui, T Eisenhaure, LD Schweitzer, ... Nature communications 11 (1), 164, 2020	198	2020

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