‪Aidong Zhang, Fellow of ACM, IEEE, and AIMBE‬

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Murali RamanathanProfessor of Pharmaceutical Sciences and NeurologyVerified email at buffalo.edu
Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Guangxu XunAppleVerified email at virginia.edu
Kang LiGoogleVerified email at buffalo.edu
Xiaoyi LiGoogleVerified email at google.com
NAN DUAI and Machine Learning Research, AppleVerified email at apple.com
Jian PeiArthur S. Pearse Distinguished Professor, Duke UniversityVerified email at cs.sfu.ca
Vishrawas GopalakrishnanAltos LabsVerified email at altoslabs.com
Liang GeGoogleVerified email at google.com
Li ZhangMD Anderson Cancer CenterVerified email at mdanderson.org
Xiaowei JiaUniversity of PittsburghVerified email at pitt.edu
Pritam ChandaCorteva AgriSciences (prev. Dow AgroSciences), R&DVerified email at dow.com
Dantong YuNew Jersey Institute of TechnologyVerified email at njit.edu
Bharat BhargavapurdueVerified email at purdue.edu
Taehyong KimDirector of Bioinformatics Core, University of PennsylvaniaVerified email at upenn.edu
Suxin GuoUniversity at Buffalo, the State University of New YorkVerified email at buffalo.edu
Ahmed ElmagarmidExecutive Director, Qatar Computing Research InstituteVerified email at qf.org.qa
Lei ShiVerified email at buffalo.edu
Tanveer Syeda-MahmoodIBM Almaden Research CenterVerified email at us.ibm.com
Nan DuTencentVerified email at tencent.com

Aidong Zhang, Fellow of ACM, IEEE, and AIMBE

Thomas M. Linville Professor of Computer Science, University of Virginia

Verified email at virginia.edu - Homepage

Machine Learning Data Mining Bioinformatics Health Informatics


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Cluster analysis for gene expression data: a survey D Jiang, C Tang, A Zhang IEEE Transactions on knowledge and data engineering 16 (11), 1370-1386, 2004	1738	2004
Wavecluster: A multi-resolution clustering approach for very large spatial databases G Sheikholeslami, S Chatterjee, A Zhang Vldb 98, 428-439, 1998	1380	1998
A survey on causal inference L Yao, Z Chu, S Li, Y Li, J Gao, A Zhang ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (5), 1-46, 2021	601	2021
WaveCluster: a wavelet-based clustering approach for spatial data in very large databases G Sheikholeslami, S Chatterjee, A Zhang The VLDB Journal 8, 289-304, 2000	414	2000
Representation learning for treatment effect estimation from observational data L Yao, S Li, Y Li, M Huai, J Gao, A Zhang Advances in neural information processing systems 31, 2018	359	2018
On mining cross-graph quasi-cliques J Pei, D Jiang, A Zhang Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005	356	2005
FindOut: Finding Outliers in Very Large Datasets D Yu, G Sheikholeslami, A Zhang Knowledge and information Systems 4, 387-412, 2002	331	2002
A multi-view deep learning framework for EEG seizure detection Y Yuan, G Xun, K Jia, A Zhang IEEE journal of biomedical and health informatics 23 (1), 83-94, 2018	261	2018
Ensuring relaxed atomicity for flexible transactions in multidatabase systems A Zhang, M Nodine, B Bhargava, O Bukhres ACM Sigmod Record 23 (2), 67-78, 1994	245	1994
Protein interaction networks: computational analysis A Zhang Cambridge University Press, 2009	240	2009
DHC: a density-based hierarchical clustering method for time series gene expression data D Jiang, J Pei, A Zhang Third IEEE Symposium on Bioinformatics and Bioengineering, 2003. Proceedings …, 2003	240	2003
Interrelated two-way clustering: an unsupervised approach for gene expression data analysis C Tang, L Zhang, A Zhang, M Ramanathan Proceedings 2nd Annual IEEE International Symposium on Bioinformatics and …, 2001	228	2001
Semantic integration to identify overlapping functional modules in protein interaction networks YR Cho, W Hwang, M Ramanathan, A Zhang BMC bioinformatics 8, 1-13, 2007	194	2007
A deep learning approach to link prediction in dynamic networks X Li, N Du, H Li, K Li, J Gao, A Zhang Proceedings of the 2014 SIAM international conference on data mining, 289-297, 2014	190	2014
OMS-TL: A framework of online multiple source transfer learning L Ge, J Gao, A Zhang Proceedings of the 22nd ACM international conference on Information …, 2013	176	2013
On handling negative transfer and imbalanced distributions in multiple source transfer learning L Ge, J Gao, H Ngo, K Li, A Zhang Statistical Analysis and Data Mining: The ASA Data Science Journal 7 (4 …, 2014	161	2014
Deep patient similarity learning for personalized healthcare Q Suo, F Ma, Y Yuan, M Huai, W Zhong, J Gao, A Zhang IEEE transactions on nanobioscience 17 (3), 219-227, 2018	157	2018
mmMesh: Towards 3D real-time dynamic human mesh construction using millimeter-wave H Xue, Y Ju, C Miao, Y Wang, S Wang, A Zhang, L Su Proceedings of the 19th Annual International Conference on Mobile Systems …, 2021	156	2021
Risk prediction on electronic health records with prior medical knowledge F Ma, J Gao, Q Suo, Q You, J Zhou, A Zhang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	153	2018
Advanced analysis of gene expression microarray data A Zhang World Scientific, 2006	147	2006

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