Yanyong Huang

Orcid: 0000-0001-9322-2777

According to our database1, Yanyong Huang authored at least 51 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Adaptive Topological Similarity Learning for Incomplete Multi-View Unsupervised Feature Selection.
IEEE Trans. Circuits Syst. Video Technol., May, 2026

Unlocking air traffic flow prediction through microscopic aircraft-state modeling.
CoRR, May, 2026

Kernel Alignment-based Multi-view Unsupervised Feature Selection with Sample-level Adaptive Graph Learning.
CoRR, January, 2026

Causally-Aware Unsupervised Feature Selection Learning.
IEEE Trans. Image Process., 2026

Dynamic dominance-based three-way decision approach in incomplete hybrid ordered data under variation of attribute values.
Appl. Soft Comput., 2026

Unsupervised Multi-Source Causal Feature Selection.
Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

2025
Joint Learning of Unsupervised Multi-view Feature and Instance Co-selection with Cross-view Imputation.
CoRR, December, 2025

Structure-aware Hybrid-order Similarity Learning for Multi-view Unsupervised Feature Selection.
CoRR, November, 2025

Cross-view Joint Learning for Mixed-Missing Multi-view Unsupervised Feature Selection.
CoRR, November, 2025

Beyond Correlation: Causal Multi-View Unsupervised Feature Selection Learning.
CoRR, September, 2025

TRUST-FS: Tensorized Reliable Unsupervised Multi-View Feature Selection for Incomplete Data.
CoRR, September, 2025

Iterative Feature Space Optimization through Incremental Adaptive Evaluation.
CoRR, January, 2025

Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation.
CoRR, January, 2025

A dual-branch federated graph learning model with global graph structure information.
Knowl. Based Syst., 2025

Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection.
CoRR, 2024

Causally-Aware Unsupervised Feature Selection Learning.
CoRR, 2024

Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection.
CoRR, 2024

Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Progressive Multimodal Pivot Learning: Towards Semantic Discordance Understanding as Humans.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
C<sup>2</sup>IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng., October, 2023

Incremental unsupervised feature selection for dynamic incomplete multi-view data.
Inf. Fusion, August, 2023

Neural Clustering and Ranking Approach for Gas-Theft Suspect Detection.
Hum. Centric Intell. Syst., April, 2023

Automated urban planning aware spatial hierarchies and human instructions.
Knowl. Inf. Syst., March, 2023

2022
Gas-Theft Suspect Detection Among Boiler Room Users: A Data-Driven Approach.
IEEE Trans. Knowl. Data Eng., 2022

Novel fuzzy rank discrimination measures for monotonic ordinal feature selection.
Knowl. Based Syst., 2022

T-copula and Wasserstein distance-based stochastic neighbor embedding.
Knowl. Based Syst., 2022

Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving.
Inf. Sci., 2022

Dynamic three-way neighborhood decision model for multi-dimensional variation of incomplete hybrid data.
Inf. Sci., 2022

Matrix representation of the conditional entropy for incremental feature selection on multi-source data.
Inf. Sci., 2022

C$^{2}$IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection.
CoRR, 2022

Multi-memory Enhanced Separation Network for Indoor Temperature Prediction.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Adaptive graph-based generalized regression model for unsupervised feature selection.
Knowl. Based Syst., 2021

ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors.
CoRR, 2021

A Robust Method for Simultaneous Unsupervised Feature Selection and Clustering.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Dynamic Knowledge Acquisition from Complex Data with Rough Sets.
PhD thesis, 2020

Dynamic dominance rough set approach for processing composite ordered data.
Knowl. Based Syst., 2020

Dynamic maintenance of rough approximations in multi-source hybrid information systems.
Inf. Sci., 2020

Incremental three-way neighborhood approach for dynamic incomplete hybrid data.
Inf. Sci., 2020

A novel quantum grasshopper optimization algorithm for feature selection.
Int. J. Approx. Reason., 2020

2019
Updating three-way decisions in incomplete multi-scale information systems.
Inf. Sci., 2019

2018
Dynamic Fusion of Multisource Interval-Valued Data by Fuzzy Granulation.
IEEE Trans. Fuzzy Syst., 2018

2017
Dynamic variable precision rough set approach for probabilistic set-valued information systems.
Knowl. Based Syst., 2017

Matrix-based dynamic updating rough fuzzy approximations for data mining.
Knowl. Based Syst., 2017

Diverse activation functions in deep learning.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

2016
Matrix-Based Rough Set Approach for Dynamic Probabilistic Set-Valued Information Systems.
Proceedings of the Rough Sets - International Joint Conference, 2016

2015
Dynamic Maintenance of Rough Fuzzy Approximations with the Variation of Objects and Attributes.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Dynamic Updating Rough Approximations in Distributed Information Systems.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015


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