Shengjie Wang
Shengjie Wang
Zweryfikowany adres z cs.washington.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
Towards social user profiling: unified and discriminative influence model for inferring home locations
R Li, S Wang, H Deng, R Wang, KCC Chang
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
3782012
Do deep convolutional nets really need to be deep and convolutional?
G Urban, KJ Geras, SE Kahou, O Aslan, S Wang, R Caruana, A Mohamed, ...
arXiv preprint arXiv:1603.05691, 2016
1342016
Multiple location profiling for users and relationships from social network and content
R Li, S Wang, KCC Chang
arXiv preprint arXiv:1208.0288, 2012
962012
Towards social data platform: Automatic topic-focused monitor for twitter stream
R Li, S Wang, KCC Chang
Proceedings of the VLDB Endowment 6 (14), 1966-1977, 2013
462013
Blending lstms into cnns
KJ Geras, A Mohamed, R Caruana, G Urban, S Wang, O Aslan, ...
arXiv preprint arXiv:1511.06433, 2015
392015
The tasks with effects model for safe concurrency
ST Heumann, VS Adve, S Wang
ACM SIGPLAN Notices 48 (8), 239-250, 2013
332013
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications.
K Wei, RK Iyer, S Wang, W Bai, JA Bilmes
NIPS, 2233-2241, 2015
282015
Analysis of deep neural networks with extended data jacobian matrix
S Wang, A Mohamed, R Caruana, J Bilmes, M Plilipose, M Richardson, ...
International Conference on Machine Learning, 718-726, 2016
272016
Joint model training
O Aslan, R Caruana, MR Richardson, A Mohamed, M Philipose, K Geras, ...
US Patent App. 15/195,894, 2017
142017
Diverse ensemble evolution: Curriculum data-model marriage
T Zhou, S Wang, JA Bilmes
Proceedings of the 32nd International Conference on Neural Information …, 2018
112018
Bias also matters: Bias attribution for deep neural network explanation
S Wang, T Zhou, J Bilmes
International Conference on Machine Learning, 6659-6667, 2019
102019
Compressing lstms into cnns
KJ Geras, A Mohamed, R Caruana, G Urban, S Wang, O Aslan, ...
arXiv preprint arXiv:1511.06433, 2015
92015
Jumpout: Improved dropout for deep neural networks with relus
S Wang, T Zhou, J Bilmes
International Conference on Machine Learning, 6668-6676, 2019
52019
Training compressed fully-connected networks with a density-diversity penalty
S Wang, H Cai, J Bilmes, W Noble
52016
Time-Consistent Self-Supervision for Semi-Supervised Learning
T Zhou, S Wang, JA Bilmes
International Conference on Machine Learning, 2020
42020
How to intelligently distribute training data to multiple compute nodes: Distributed machine learning via submodular partitioning
K Wei, R Iyer, S Wang, W Bai, J Bilmes
Neural Information Processing Society (NIPS) Workshop, Montreal, Canada, 2015
42015
Curriculum learning by dynamic instance hardness
T Zhou, S Wang, JA Bilmes
Advances in Neural Information Processing Systems 33, 2020
22020
Fixing mini-batch sequences with hierarchical robust partitioning
S Wang, W Bai, C Lavania, J Bilmes
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
22019
Faster and more accurate graphical model identification of tandem mass spectra using trellises
S Wang, JT Halloran, JA Bilmes, WS Noble
Bioinformatics 32 (12), i322-i331, 2016
2*2016
Dynamic Instance Hardness
T Zhou, S Wang, JA Bilmes
2019
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