Yin Zheng
Cited by
Cited by
Variational deep embedding: An unsupervised and generative approach to clustering
Z Jiang, Y Zheng, H Tan, B Tang, H Zhou
International Joint Conferences on Artificial Intelligence, 2017
A neural autoregressive approach to collaborative filtering
Y Zheng, B Tang, W Ding, H Zhou
International Conference on Machine Learning, 2016, 2016
Y Zheng, Q Chen, YJ Zhang
中国图象图形学报 19 (2), 175-184, 2014
Topic modeling of multimodal data: an autoregressive approach
Y Zheng, YJ Zhang, H Larochelle
Proceedings of the IEEE conference on computer vision and pattern …, 2014
Dynamic capacity networks
A Almahairi, N Ballas, T Cooijmans, Y Zheng, H Larochelle, A Courville
International Conference on Machine Learning, 2549-2558, 2016
A deep and autoregressive approach for topic modeling of multimodal data
Y Zheng, YJ Zhang, H Larochelle
IEEE transactions on pattern analysis and machine intelligence 38 (6), 1056-1069, 2015
Nat: Neural architecture transformer for accurate and compact architectures
Y Guo, Y Zheng, M Tan, Q Chen, J Chen, P Zhao, J Huang
Advances in Neural Information Processing Systems, 737-748, 2019
Neural autoregressive collaborative filtering for implicit feedback
Y Zheng, C Liu, B Tang, H Zhou
Proceedings of the 1st workshop on deep learning for recommender systems, 2-6, 2016
A neural autoregressive approach to attention-based recognition
Y Zheng, RS Zemel, YJ Zhang, H Larochelle
International Journal of Computer Vision 113 (1), 67-79, 2015
Action recognition in still images using a combination of human pose and context information
Y Zheng, YJ Zhang, X Li, BD Liu
2012 19th IEEE International Conference on Image Processing, 785-788, 2012
Document neural autoregressive distribution estimation
S Lauly, Y Zheng, A Allauzen, H Larochelle
The Journal of Machine Learning Research 18 (1), 4046-4069, 2017
Discriminant sparse coding for image classification
BD Liu, YX Wang, YJ Zhang, Y Zheng
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
Variational deep embedding: A generative approach to clustering
Z Jiang, Y Zheng, H Tan, B Tang, H Zhou
CoRR, 2016
Collaborative filtering with user-item co-autoregressive models
C Du, C Li, Y Zheng, J Zhu, B Zhang
arXiv preprint arXiv:1612.07146, 2016
Towards Fast Adaptation of Neural Architectures with Meta Learning
D Lian*, Y Zheng*, Y Xu, Y Lu, L Lin, P Zhao, J Huang, S Gao
International Conference on Learning Representations, 2020
Fast Single Image Reflection Suppression via Convex Optimization
Y Yang, W Ma, Y Zheng, JF Cai, W Xu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long …, 2019
Breaking the curse of space explosion: Towards efficient nas with curriculum search
Y Guo, Y Chen, Y Zheng, P Zhao, J Chen, J Huang, M Tan
arXiv preprint arXiv:2007.07197, 2020
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS
X Ning, Y Zheng, T Zhao, Y Wang, H Yang
arXiv preprint arXiv:2004.01899, 2020
RaFM: Rank-Aware Factorization Machines
X Chen, Y Zheng, J Wang, W Ma, J Huang
International Conference on Machine Learning, 2019
A Neural Autoregressive Approach to Collaborative Filtering ICML. 764--773
Y Zheng, B Tang, W Ding, H Zhou
Google Scholar Google Scholar Digital Library Digital Library, 2016
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