Folgen
Weicong Ding
Weicong Ding
Scientist at Roku Inc.
Keine bestätigte E-Mail-Adresse
Titel
Zitiert von
Zitiert von
Jahr
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
3382018
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
3332016
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
892016
Topic discovery through data dependent and random projections
W Ding, MH Rohban, P Ishwar, V Saligrama
International Conference on Machine Learning, 1202-1210, 2013
692013
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
302018
Efficient distributed topic modeling with provable guarantees
W Ding, M Rohban, P Ishwar, V Saligrama
Artificial Intelligence and Statistics, 167-175, 2014
272014
A topic modeling approach to ranking
W Ding, P Ishwar, V Saligrama
Artificial Intelligence and Statistics, 214-222, 2015
252015
Whole page optimization with global constraints
W Ding, D Govindaraj, SVN Vishwanathan
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
212019
Node Embedding via Word Embedding for Network Community Discovery
W Ding, C Lin, P Ishwar
arXiv:1611.03028, 2016
212016
Most large topic models are approximately separable
W Ding, P Ishwar, V Saligrama
2015 Information theory and applications workshop (ITA), 199-203, 2015
192015
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
152013
Learning mixed membership mallows models from pairwise comparisons
W Ding, P Ishwar, V Saligrama
arXiv preprint arXiv:1504.00757, 2015
142015
A simple approach to learn polysemous word embeddings
Y Sun, N Rao, W Ding
arXiv preprint arXiv:1707.01793, 2017
132017
Matrix Factorization with Side and Higher Order Information
V Shah, N Rao, W Ding
https://arxiv.org/abs/1705.02047, 2017
82017
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
82013
A topic modeling approach to rank aggregation
W Ding, P Ishwar, V Saligrama
Advances in on Neural Information Processing Systems, workshop on Analysis …, 2014
72014
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
62015
Appliance failure prediction
BC Eriksson, A Pudhiyaveetil, Y Sun, W Ding
US Patent App. 16/004,353, 2018
42018
Node embedding for network community discovery
C Lin, P Ishwar, W Ding
2017 IEEE international conference on acoustics, speech and signal …, 2017
42017
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach
Y Zhang, F Tao, X Liu, R Su, X Mei, W Ding, Z Zhao, L Yuan, J Liu
arXiv preprint arXiv:2010.12662, 2020
32020
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20