Yin Zheng

Orcid: 0000-0001-7838-4794

According to our database1, Yin Zheng authored at least 40 papers between 2012 and 2023.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Fuzzy-Set Qualitative Comparative Analysis (fsQCA) in Xiamen's High-Quality Industrial Development.
Proceedings of the HCI in Business, Government and Organizations, 2023

Pareto-aware Neural Architecture Generation for Diverse Computational Budgets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Towards Accurate and Compact Architectures via Neural Architecture Transformer.
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.
J. Bioinform. Comput. Biol., 2022

An alarm data mining method for operation and maintenance support network based on stream computing.
Int. J. Data Min. Bioinform., 2022

Diversify Search Results Through Graph Attentive Document Interaction.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture.
ACM Trans. Design Autom. Electr. Syst., 2021

Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets.
CoRR, 2021

2020
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

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

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search.
Proceedings of the 37th International Conference on Machine Learning, 2020

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

A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
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

2018
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

2017
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

2016
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

2015
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

2014
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

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

2012
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


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