| Deep Structured Energy Based Models for Anomaly Detection S Zhai, Y Cheng, W Lu, Z Zhang ICML 2016, 2016 | 219 | 2016 |
| Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification Y Lu, A Kumar, S Zhai, Y Cheng, T Javidi, R Feris CVPR 2017, 2016 | 205 | 2016 |
| DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks S Zhai, K Chang, R Zhang, ZM Zhang KDD 2016, 2016 | 93 | 2016 |
| Boosting deep learning risk prediction with generative adversarial networks for electronic health records Z Che, Y Cheng, S Zhai, Z Sun, Y Liu 2017 IEEE International Conference on Data Mining (ICDM), 787-792, 2017 | 72 | 2017 |
| SEMISUPERVISED AUTOENCODER FOR SENTIMENT ANALYSIS Z Zhang, S Zhai US Patent App. 15/838,000, 2018 | 61 | 2018 |
| Doubly Convolutional Neural Networks S Zhai, Y Cheng, W Lu, Z Zhang NIPS 2016, 2016 | 47 | 2016 |
| Semisupervised Autoencoder for Sentiment Analysis S Zhai, Z Zhang AAAI 2016, 2016 | 37 | 2016 |
| S3Pool: Pooling with Stochastic Spatial Sampling S Zhai, H Wu, A Kumar, Y Cheng, Y Lu, Z Zhang, R Feris CVPR 2017, 2016 | 34 | 2016 |
| Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs S Zhai, Z Zhang SDM 2015, 2015 | 27 | 2015 |
| Generative Adversarial Networks as Variational Training of Energy Based Models S Zhai, Y Cheng, R Feris, Z Zhang arXiv preprint arXiv:1611.01799, 2016 | 23 | 2016 |
| Design of reciprocal recommendation systems for online dating P Xia, S Zhai, B Liu, Y Sun, C Chen Social Network Analysis and Mining 6 (1), 32, 2016 | 21 | 2016 |
| Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment C Huang, S Zhai, W Talbott, MA Bautista, SY Sun, C Guestrin, J Susskind arXiv preprint arXiv:1905.05895, 2019 | 16 | 2019 |
| Identity-based Adversarial Training of Deep CNNs for Facial Action Unit Recognition Z Zhang, S Zhai, L Yin BMVC, 2018 | 14 | 2018 |
| Identifying Relevant Content Items using a Deep-Structured Neural Network KH Chang, R Zhang, S Zhai US Patent App. 14/926,617, 2017 | 14 | 2017 |
| A Deep Learning Approach for Expert Identification in Question Answering Communities C Zheng, S Zhai, Z Zhang arXiv preprint arXiv:1711.05350, 2017 | 11 | 2017 |
| Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many Mappings N Li, S Zhai, Z Zhang, B Liu AAAI 2017, 2016 | 9 | 2016 |
| Attention Based Recurrent Neural Networks for Online Advertising S Zhai, K Chang, R Zhang, Z Zhang WWW 2016, 141-142, 2016 | 6 | 2016 |
| Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking A El-Nouby, S Zhai, GW Taylor, JM Susskind arXiv preprint arXiv:1910.12770, 2019 | 3 | 2019 |
| Adversarial Fisher Vectors for Unsupervised Representation Learning S Zhai, W Talbott, C Guestrin, J Susskind Advances in Neural Information Processing Systems, 11158-11168, 2019 | 3 | 2019 |
| On the generalization of learning-based 3D reconstruction MA Bautista, W Talbott, S Zhai, N Srivastava, JM Susskind Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 1 | 2020 |
Yu ChengPrincipal Researcher at MicrosoftVerified email at microsoft.com
