Yin Zheng

Orcid: 0000-0001-7838-4794

According to our database¹, Yin Zheng authored at least 44 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Construction of a Wilms tumor risk model based on machine learning and identification of cuproptosis-related clusters.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., December, 2024

Detection of redundant traffic in large-scale communication networks based on logistic regression.

[BibT_eX]

[DOI]

Int. J. Reason. based Intell. Syst., 2024

Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data.

[BibT_eX]

[DOI]

CoRR, 2024

Saxformer: A Time Series Forecasting Framework with Local Interpretability.

[BibT_eX]

[DOI]

Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence, 2024

2023

A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Fuzzy-Set Qualitative Comparative Analysis (fsQCA) in Xiamen's High-Quality Industrial Development.

[BibT_eX]

[DOI]

Yin Zheng

Hang Jiang

Yuyang Lin

Proceedings of the HCI in Business, Government and Organizations, 2023

Pareto-aware Neural Architecture Generation for Diverse Computational Budgets.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Towards Accurate and Compact Architectures via Neural Architecture Transformer.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Clarifying real receptor binding site between coronavirus HCoV-HKU1 and 9-O-Ac-Sia based on molecular docking.

[BibT_eX]

[DOI]

J. Bioinform. Comput. Biol., 2022

An alarm data mining method for operation and maintenance support network based on stream computing.

[BibT_eX]

[DOI]

Int. J. Data Min. Bioinform., 2022

Diversify Search Results Through Graph Attentive Document Interaction.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2022

2021

FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., 2021

Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets.

[BibT_eX]

[DOI]

CoRR, 2021

2020

A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

50 FPS Object-Level Saliency Detection via Maximally Stable Region.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Nonparametric Topic Modeling with Neural Inference.

[BibT_eX]

[DOI]

Neurocomputing, 2020

A Surgery of the Neural Architecture Evaluators.

[BibT_eX]

[DOI]

CoRR, 2020

FTT-NAS: Discovering Fault-Tolerant Neural Architecture.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Towards Fast Adaptation of Neural Architectures with Meta Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Semi-supervised Learning with Contrastive Predicative Coding.

[BibT_eX]

[DOI]

CoRR, 2019

NAT: Neural Architecture Transformer for Accurate and Compact Architectures.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Systems and Informatics, 2019

RaFM: Rank-Aware Factorization Machines.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Fast Single Image Reflection Suppression via Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

Nonparametric Topic Modeling with Neural Inference.

[BibT_eX]

[DOI]

CoRR, 2018

Collaborative Filtering With User-Item Co-Autoregressive Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Document Neural Autoregressive Distribution Estimation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data.

[BibT_eX]

[DOI]

Yin Zheng

Yu-Jin Zhang

Hugo Larochelle

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Variational Deep Embedding: A Generative Approach to Clustering.

[BibT_eX]

[DOI]

CoRR, 2016

Collaborative Filtering with User-Item Co-Autoregressive Models.

[BibT_eX]

[DOI]

CoRR, 2016

Neural Autoregressive Collaborative Filtering for Implicit Feedback.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

A Neural Autoregressive Approach to Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Dynamic Capacity Networks.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

A Neural Autoregressive Approach to Attention-based Recognition.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2015

A Locality Preserving Approach for Kernel PCA.

[BibT_eX]

[DOI]

Proceedings of the Image and Graphics - 8th International Conference, 2015

2014

A Failure-Aware Explicit Shape Regression Model for Facial Landmark Detection in Video.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2014

Topic Modeling of Multimodal Data: An Autoregressive Approach.

[BibT_eX]

[DOI]

Yin Zheng

Yu-Jin Zhang

Hugo Larochelle

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

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

[BibT_eX]

[DOI]

Yin Zheng

Yu-Jin Zhang

Hugo Larochelle

CoRR, 2013

2012

Action recognition in still images using a combination of human pose and context information.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Discriminant sparse coding for image classification.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Yin Zheng

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