Shuangfei Zhai

According to our database1, Shuangfei Zhai authored at least 23 papers between 2015 and 2018.

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Bibliography

2018
Identity-based Adversarial Training of Deep CNNs for Facial Action Unit Recognition.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
A Deep Learning Approach for Expert Identification in Question Answering Communities.
CoRR, 2017

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records.
CoRR, 2017

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

S3Pool: Pooling with Stochastic Spatial Sampling.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Design of reciprocal recommendation systems for online dating.
Social Netw. Analys. Mining, 2016

S3Pool: Pooling with Stochastic Spatial Sampling.
CoRR, 2016

Doubly Convolutional Neural Networks.
CoRR, 2016

Deep Structured Energy Based Models for Anomaly Detection.
CoRR, 2016

Generative Adversarial Networks as Variational Training of Energy Based Models.
CoRR, 2016

Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification.
CoRR, 2016

Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many Mappings.
CoRR, 2016

Attention Based Recurrent Neural Networks for Online Advertising.
Proceedings of the 25th International Conference on World Wide Web, 2016

Doubly Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Deep Structured Energy Based Models for Anomaly Detection.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Semisupervised Autoencoder for Sentiment Analysis.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs.
CoRR, 2015

Semisupervised Autoencoder for Sentiment Analysis.
CoRR, 2015

Manifold Regularized Discriminative Neural Networks.
CoRR, 2015

Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015


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