Weicong Ding

Cited by

	All	Since 2018
Citations	936	758
h-index	13	9
i10-index	13	9

160

120

201320142015201620172018201920202021202220237 15 61 42 47 95 121 156 152 141 93

Public access

View all

4 articles

1 article

available

not available

Based on funding mandates

Co-authors

Prakash IshwarProfessor of Electrical and Computer Engineering at Boston UniversityVerified email at bu.edu
Venkatesh SaligramaProfessor, Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
Yifan SunAssistant Prof at Stonybrook CS DeptVerified email at stonybrook.edu
Nikhil RaoMicrosoftVerified email at microsoft.com
Mohammad Hossein RohbanComputer Eng. Department, Sharif University of TechnologyVerified email at sharif.edu
Brian ErikssonAdobeVerified email at adobe.com
Hui Xiong, Fellow of AAAS and IEEERutgers University/Baidu/HKUSTVerified email at ust.hk
Zijun YaoUniversity of KansasVerified email at ku.edu
Chris J. VargoUniversity of Colorado BoulderVerified email at colorado.edu
Lei GuoFudan UniversityVerified email at fudan.edu.cn
William TrouleauData Scientist, Unit8Verified email at epfl.ch
Azin AshkanGoogleVerified email at uwaterloo.ca
Dinesh GovindarajSenior Applied Scientist, AmazonVerified email at amazon.com
Christy LinStudent at System Engineering, Boston UniversityVerified email at bu.edu
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerified email at stat.purdue.edu
Aman AhujaVirginia TechVerified email at cs.vt.edu
Chandan K. ReddyProfessor, Computer Science, Virginia TechVerified email at cs.vt.edu
Vineeth RakeshResearch Scientist at VisaVerified email at visa.com
Vatsal ShahAmazonVerified email at utexas.edu
Clem KarlProfessor of Electrical and Computer Engineering and Biomedical Engineering, Boston UniversityVerified email at bu.edu

Weicong Ding

Scientist at Roku Inc.

No verified email

Machine Learning Data Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Big social data analytics in journalism and mass communication: Comparing dictionary-based text analysis and unsupervised topic modeling L Guo, CJ Vargo, Z Pan, W Ding, P Ishwar Journalism & Mass Communication Quarterly 93 (2), 332-359, 2016	294	2016
Dynamic word embeddings for evolving semantic discovery Z Yao, Y Sun, W Ding, N Rao, H Xiong Proceedings of the eleventh acm international conference on web search and …, 2018	279	2018
Just One More: Modeling Binge Watching Behavior W Trouleau, A Ashkan, W Ding, B Eriksson 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2016	71	2016
Topic discovery through data dependent and random projections W Ding, MH Rohban, P Ishwar, V Saligrama International Conference on Machine Learning, 1202-1210, 2013	67	2013
A sparse topic model for extracting aspect-specific summaries from online reviews V Rakesh, W Ding, A Ahuja, N Rao, Y Sun, CK Reddy Proceedings of the 2018 World Wide Web Conference, 1573-1582, 2018	26	2018
A topic modeling approach to ranking W Ding, P Ishwar, V Saligrama Artificial Intelligence and Statistics, 214-222, 2015	26	2015
Efficient distributed topic modeling with provable guarantees W Ding, M Rohban, P Ishwar, V Saligrama Artificial Intelligence and Statistics, 167-175, 2014	26	2014
Node Embedding via Word Embedding for Network Community Discovery W Ding, C Lin, P Ishwar arXiv:1611.03028, 2016	19	2016
Most large topic models are approximately separable W Ding, P Ishwar, V Saligrama 2015 Information Theory and Applications Workshop (ITA), 199-203, 2015	19	2015
Whole page optimization with global constraints W Ding, D Govindaraj, SVN Vishwanathan Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019	16	2019
Learning mixed membership mallows models from pairwise comparisons W Ding, P Ishwar, V Saligrama arXiv preprint arXiv:1504.00757, 2015	15	2015
Necessary and sufficient conditions for novel word detection in separable topic models W Ding, P Ishwar, MH Rohban, V Saligrama arXiv preprint arXiv:1310.7994, 2013	15	2013
A simple approach to learn polysemous word embeddings Y Sun, N Rao, W Ding arXiv preprint arXiv:1707.01793, 2017	14	2017
A new geometric approach to latent topic modeling and discovery W Ding, MH Rohban, P Ishwar, V Saligrama 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	9	2013
Matrix Factorization with Side and Higher Order Information V Shah, N Rao, W Ding https://arxiv.org/abs/1705.02047, 2017	7	2017
A topic modeling approach to rank aggregation W Ding, P Ishwar, V Saligrama Advances in on Neural Information Processing Systems, workshop on Analysis …, 2014	7	2014
Necessary and sufficient conditions and a provably efficient algorithm for separable topic discovery W Ding, P Ishwar, V Saligrama arXiv preprint arXiv:1508.05565, 2015	6	2015
Node embedding for network community discovery C Lin, P Ishwar, W Ding 2017 IEEE international conference on acoustics, speech and signal …, 2017	4	2017
Appliance failure prediction BC Eriksson, A Pudhiyaveetil, Y Sun, W Ding US Patent App. 16/004,353, 2018	3	2018
Matrix completion via factorizing polynomials V Shah, N Rao, W Ding arXiv preprint arXiv:1705.02047, 2017	2	2017

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors