Yin Zheng

According to our database1, Yin Zheng authored at least 31 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding.
IEEE Trans. Knowl. Data Eng., 2020

50 FPS Object-Level Saliency Detection via Maximally Stable Region.
IEEE Trans. Image Process., 2020

Nonparametric Topic Modeling with Neural Inference.
Neurocomputing, 2020

A Surgery of the Neural Architecture Evaluators.
CoRR, 2020

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search.
CoRR, 2020

A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS.
CoRR, 2020

FTT-NAS: Discovering Fault-Tolerant Neural Architecture.
CoRR, 2020

Towards Fast Adaptation of Neural Architectures with Meta Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Semi-supervised Learning with Contrastive Predicative Coding.
CoRR, 2019

NAT: Neural Architecture Transformer for Accurate and Compact Architectures.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fall detection and recognition based on GCN and 2D Pose.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

RaFM: Rank-Aware Factorization Machines.
Proceedings of the 36th International Conference on Machine Learning, 2019

Fast Single Image Reflection Suppression via Convex Optimization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation.
IEEE Signal Process. Lett., 2018

Nonparametric Topic Modeling with Neural Inference.
CoRR, 2018

Collaborative Filtering With User-Item Co-Autoregressive Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Document Neural Autoregressive Distribution Estimation.
J. Mach. Learn. Res., 2017

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Variational Deep Embedding: A Generative Approach to Clustering.
CoRR, 2016

Collaborative Filtering with User-Item Co-Autoregressive Models.
CoRR, 2016

Neural Autoregressive Collaborative Filtering for Implicit Feedback.
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

A Neural Autoregressive Approach to Collaborative Filtering.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Dynamic Capacity Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

A Neural Autoregressive Approach to Attention-based Recognition.
Int. J. Comput. Vis., 2015

A Locality Preserving Approach for Kernel PCA.
Proceedings of the Image and Graphics - 8th International Conference, 2015

A Failure-Aware Explicit Shape Regression Model for Facial Landmark Detection in Video.
IEEE Signal Process. Lett., 2014

Topic Modeling of Multimodal Data: An Autoregressive Approach.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation
CoRR, 2013

Action recognition in still images using a combination of human pose and context information.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Discriminant sparse coding for image classification.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012