Baichuan Zhang

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Mohammad Al HasanProfessor of Computer Science, Indiana University Indianapolis, USAPreverjeni e-poštni naslov na iu.edu
Vachik S. DaveStaff Data Scientist @WalmartLabsPreverjeni e-poštni naslov na walmartlabs.com
Murat DundarEli Lilly & CompanyPreverjeni e-poštni naslov na lilly.com
Pin-Yu ChenPrincipal Research Scientist, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRCPreverjeni e-poštni naslov na ibm.com
Mohammed KorayemDirector of Data Science, Data Science R&D - CareerBuilderPreverjeni e-poštni naslov na indiana.edu
khushbu agarwalPacific Northwest National LaboratoryPreverjeni e-poštni naslov na pnnl.gov
Sumit PurohitPacific Northwest National LabPreverjeni e-poštni naslov na pnnl.gov
Sutanay ChoudhuryPacific Northwest National LaboratoryPreverjeni e-poštni naslov na pnnl.gov
Tanay Kumar SahaPrincipal ML Scientist, Sponsored Search, Walmart Global TechPreverjeni e-poštni naslov na purdue.edu
Mathew ThomasBooz Allen Hamilton, Pacific Northwest National LaboratoryPreverjeni e-poštni naslov na pnnl.gov
Qiang KouIndiana University, Nyquist Data, Inc.Preverjeni e-poštni naslov na iu.edu
Bartek RajwaPurdue UniversityPreverjeni e-poštni naslov na purdue.edu
Xia NingProfessor, Biomedical Informatics, Computer Science and Engineering, The Ohio StatePreverjeni e-poštni naslov na osu.edu
Noman MohammedAssociate Professor, University of ManitobaPreverjeni e-poštni naslov na cs.umanitoba.ca
Alfred HeroJohn H Holland Distinguished University Professor, University of MichiganPreverjeni e-poštni naslov na eecs.umich.edu
Chandan K. ReddyProfessor, Computer Science, Virginia TechPreverjeni e-poštni naslov na cs.vt.edu
Kareem AbdelfatahData Scientist III CareerBuilderPreverjeni e-poštni naslov na email.sc.edu

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Baichuan Zhang

Staff Research Scientist @ Meta/Facebook

Preverjeni e-poštni naslov na fb.com - Domača stran

Ranking Recommendation System Machine Learning Data Mining Information Retrieval


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Name disambiguation in anonymized graphs using network embedding B Zhang, M Al Hasan Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017	128	2017
A combined representation learning approach for better job and skill recommendation V Dave, B Zhang, MA Hasan, KA Jadda, M Korayem Proceedings of the 27th ACM International Conference on Information and …, 2018	102	2018
Nous: Construction and querying of dynamic knowledge graphs S Choudhury, K Agarwal, S Purohit, B Zhang, M Pirrung, W Smith, ... 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1563-1565, 2017	63	2017
Bayesian non-exhaustive classification a case study: Online name disambiguation using temporal record streams B Zhang, M Dundar, M Al Hasan Proceedings of the 25th acm international on conference on information and …, 2016	45	2016
Name disambiguation from link data in a collaboration graph B Zhang, TK Saha, M Al Hasan 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014	44	2014
Simplicity of kmeans versus deepness of deep learning: A case of unsupervised feature learning with limited data M Dundar, Q Kou, B Zhang, Y He, B Rajwa 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015	42	2015
Trust from the past: Bayesian personalized ranking based link prediction in knowledge graphs B Zhang, S Choudhury, MA Hasan, X Ning, K Agarwal, S Purohit, ... SDM Workshop on Mining Networks and Graphs, 2016	35	2016
Name disambiguation from link data in a collaboration graph using temporal and topological features TK Saha, B Zhang, MA Hasan Social Network Analysis and Mining 5, 1-14, 2015	35	2015
Neural-brane: Neural bayesian personalized ranking for attributed network embedding VS Dave, B Zhang, PY Chen, MA Hasan Data Science and Engineering 4 (2), 119-131, 2019	32	2019
Feature selection for classification under anonymity constraint B Zhang, N Mohammed, V Dave, MA Hasan Transactions on Data Privacy, 2017	32	2017
Incremental method for spectral clustering of increasing orders PY Chen, B Zhang, MA Hasan, AO Hero KDD Workshop on Mining and Learning with Graphs, 2016	20	2016
Bayesian non-exhaustive classification for active online name disambiguation B Zhang, M Dundar, MA Hasan arXiv preprint arXiv:1708.04531, 2017	14	2017
Predicting interval time for reciprocal link creation using survival analysis VS Dave, MA Hasan, B Zhang, CK Reddy Social Network Analysis and Mining 8, 1-20, 2018	13	2018
Incremental eigenpair computation for graph Laplacian matrices: theory and applications PY Chen, B Zhang, MA Hasan Social Network Analysis and Mining 8 (1), 4, 2018	10	2018
Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter B Zhang, M Dundar, V Dave, MA Hasan The ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2019), 2019	7	2019
Automated Systems and Methods for Determining Jobs, Skills, and Training Recommendations B Gaspar, K Aljadda, M Korayem, A Chern, P Hoang, R Malony, K Ruel, ... US Patent App. 16/528,467, 2020	3	2020
Name entity disambiguation in anonymized graphs using link analysis: A network embedding based solution B Zhang, M Al Hasan CoRR, 2017	3	2017
Towards Name Disambiguation: Relational, Streaming, and Privacy-Preserving Text Data B Zhang Purdue University, 2017	3	2017
Neural-Brane: An inductive approach for attributed network embedding VS Dave, B Zhang, PY Chen, MA Hasan Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019		2019

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