Yuhong Zhang

Orcid: 0000-0001-7031-0889

Affiliations:
  • Hefei University of Technology, Key Laboratory of Knowledge Engineering with Big Data, China


According to our database1, Yuhong Zhang authored at least 59 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment.
ACM Trans. Knowl. Discov. Data, May, 2024

Multicomponent Similarity Graphs for Cross-Network Node Classification.
IEEE Trans. Artif. Intell., March, 2024

2023
Independent Relation Representation With Line Graph for Cross-Lingual Entity Alignment.
IEEE Trans. Knowl. Data Eng., November, 2023

Cognitive Diagnostic Model Made More Practical by Genetic Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification.
IEEE Trans. Big Data, February, 2023

TransD-based Multi-hop Meta Learning for Few-shot Knowledge Graph Completion.
Proceedings of the International Joint Conference on Neural Networks, 2023

Probabilistic model with evolutionary optimization for cognitive diagnosis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Cross-Knowledge Graph Relation Completion for Non-isomorphic Cross-lingual Entity Alignment.
Proceedings of the 29th International DMS Conference on Visualization and Visual Languages, 2023

2022
Representation learning with deep sparse auto-encoder for multi-task learning.
Pattern Recognit., 2022

Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion.
CoRR, 2022

Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application.
Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

A Structure-Aware Method for Cross-domain Text Classification.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Multi-modal Component Representation for Multi-source Domain Adaptation Method.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Zero-shot Learning Method with a Multi-Modal Knowledge Graph.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Structure Similarity Graph for Cross-Network Node Classification.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Learning Cross-Lingual Mappings in Imperfectly Isomorphic Embedding Spaces.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Adversarial training with Wasserstein distance for learning cross-lingual word embeddings.
Appl. Intell., 2021

An Unsupervised Domain Adaptation Being Aware of Domain-specific and Label Information.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Semi-supervised Bilingual Lexicon Induction Method for Distant Language Pairs Based on Bidirectional Adversarial Model.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

A Key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

2020
Wasserstein GAN based on Autoencoder with back-translation for cross-lingual embedding mappings.
Pattern Recognit. Lett., 2020

Semi-supervised representation learning via dual autoencoders for domain adaptation.
Knowl. Based Syst., 2020

Representation learning via serial robust autoencoder for domain adaptation.
Expert Syst. Appl., 2020

2019
Transfer learning with deep manifold regularized auto-encoders.
Neurocomputing, 2019

Representation learning via serial autoencoders for domain adaptation.
Neurocomputing, 2019

Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree.
Entropy, 2019

Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification.
IEEE Access, 2019

The ℓ _2, 1 -Norm Stacked Robust Autoencoders via Adaptation Regularization for Domain Adaptation.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

Unsupervised Keyword Extraction Method Based on Chinese Patent Clustering.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Nonlinear Cross-Domain Feature Representation Learning Method Based on Dual Constraints.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018
Learning From Short Text Streams With Topic Drifts.
IEEE Trans. Cybern., 2018

Transfer learning with stacked reconstruction independent component analysis.
Knowl. Based Syst., 2018

An Online Transfer Learning Algorithm with Adaptive Cost.
Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, 2018

Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Imbalanced Networked Multi-label Classification with Active Learning.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017
Three-layer concept drifting detection in text data streams.
Neurocomputing, 2017

2016
Multi-bridge transfer learning.
Knowl. Based Syst., 2016

一种面向不完全标记的文本数据流自适应分类方法 (Self-adaptation Classification for Incomplete Labeled Text Data Stream).
计算机科学, 2016

Domain adaptation via Multi-Layer Transfer Learning.
Neurocomputing, 2016

A Label Correlation Based Weighting Feature Selection Approach for Multi-label Data.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Concept Based Short Text Stream Classification with Topic Drifting Detection.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Cross-domain sentiment classification-feature divergence, polarity divergence or both?
Pattern Recognit. Lett., 2015

Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification.
Knowl. Based Syst., 2015

面向评论信息的跨领域词汇情感倾向判别方法 (Approach of Cross-domain Word Sentiment Orientation Identification on Reviews).
计算机科学, 2015

2014
A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2012
An Ensemble Method Based on Confidence Probability for Multi-domain Sentiment Classification.
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012

A Multi-domain Adaptation for sentiment classification algorithm based on Class Distribution.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011
Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

An Efficient Ensemble Method for Classifying Skewed Data Streams.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

A weighted algorithm of inductive transfer learning based on maximum entropy model.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

A classification algorithm for noisy data streams.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

Logistic Regression for Transductive Transfer Learning from Multiple Sources.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2005
The Representation and Resolution of Rough Sets Based on the Extended Concept Lattice.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005


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