Yuanlong Shao
Yuanlong Shao
PhD Student, The Ohio State University
Verified email at osu.edu - Homepage
Title
Cited by
Cited by
Year
Laplacian regularized gaussian mixture model for data clustering
X He, D Cai, Y Shao, H Bao, J Han
IEEE Transactions on Knowledge and Data Engineering 23 (9), 1406-1418, 2011
1742011
Generating high-quality and informative conversation responses with sequence-to-sequence models
Y Shao, S Gouws, D Britz, A Goldie, B Strope, R Kurzweil
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
1492017
Video stabilization based on a 3D perspective camera model
G Zhang, W Hua, X Qin, Y Shao, H Bao
The Visual Computer 25 (11), 997-1008, 2009
842009
Generating Long and Diverse Responses with Neural Conversation Models
L Shao, S Gouws, D Britz, A Goldie, B Strope, R Kurzweil
arXiv preprint arXiv:1701.03185, 2017
542017
Semi-supervised topic modeling for image annotation
Y Shao, Y Zhou, X He, D Cai, H Bao
Proceedings of the 17th ACM international conference on Multimedia, 521-524, 2009
132009
基于汉字标志的增强现实系统
董子龙, 章国锋, 邵元龙, 华炜
中国图象图形学报 14 (7), 1463-1468, 2009
122009
基于汉字标志的增强现实系统
董子龙, 章国锋, 邵元龙, 华炜
12*
A Growing Long-term Episodic & Semantic Memory
M Pickett, R Al-Rfou, L Shao, C Tar
arXiv preprint arXiv:1610.06402, 2016
92016
Locally developable constraint for document surface reconstruction
Y Shao, X Liu, X Qin, Y Xu, H Bao
Document Analysis and Recognition, 2009. ICDAR'09. 10th International …, 2009
52009
Linear-nonlinear-poisson neurons can do inference on deep boltzmann machines
LY Shao
International Conference on Learning Representation 2013, 2012
42012
Variational inference with graph regularization for image annotation
Y Shao, Y Zhou, D Cai
ACM Transactions on Intelligent Systems and Technology (TIST) 2 (2), 11, 2011
32011
Chinese-character-marker Based Augmented Reality System
Z DONG, G ZHANG, Y SHAO, W HUA
Journal of Image and Graphics 7, 038, 2009
12009
Learning Sparse Recurrent Neural Networks in Language Modeling
Y Shao
The Ohio State University, 2014
2014
Linear-Nonlinear-Poisson Neuron Networks Perform Bayesian Inference On Boltzmann Machines
LY Shao
arXiv preprint arXiv:1210.8442, 2012
2012
Manifold Learning on Probabilistic Graphical Models
Y Shao
2004
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Articles 1–15