Xiaoheng Zhang

Orcid: 0009-0003-4732-4408

According to our database1, Xiaoheng Zhang authored at least 24 papers between 1998 and 2024.

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Bibliography

2024
Deep Fuzzy Envelope Sample Generation Mechanism for Imbalanced Ensemble Classification.
IEEE Trans. Fuzzy Syst., March, 2024

Intra-subject enveloped multilayer fuzzy sample compression for speech diagnosis of Parkinson's disease.
Medical Biol. Eng. Comput., February, 2024

A Multi-Level Alignment and Cross-Modal Unified Semantic Graph Refinement Network for Conversational Emotion Recognition.
IEEE Trans. Affect. Comput., 2024

Analytical Frequency Security Indicators for Two-Region Interconnected Power Systems.
IEEE Access, 2024

2023
A Dual Attention-based Modality-Collaborative Fusion Network for Emotion Recognition.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Two way auction transaction mechanism of distributed energy based on blockchain Technology.
Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, 2023

A Cross-Modality Context Fusion and Semantic Refinement Network for Emotion Recognition in Conversation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Code for Intra-subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Speech Data of Parkinson's Disease.
Dataset, September, 2022

A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model.
CoRR, 2022

Envelope imbalanced ensemble model with deep sample learning and local-global structure consistency.
CoRR, 2022

A novel 3D lumbar vertebrae location and segmentation method based on the fusion envelope of 2D hybrid visual projection images.
Comput. Biol. Medicine, 2022

Deep instance envelope network-based imbalance learning algorithm with multilayer fuzzy C-means clustering and minimum interlayer discrepancy.
Appl. Soft Comput., 2022

Virtual Assistants (Chatbots) as Help to Teachers in Collaborative Learning Environment.
Proceedings of the Learning in the Age of Digital and Green Transition, 2022

2021
Insight into an unsupervised two-step sparse transfer learning algorithm for speech diagnosis of Parkinson's disease.
Neural Comput. Appl., 2021

Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data.
CoRR, 2021

Envelope Imbalance Learning Algorithm based on Multilayer Fuzzy C-means Clustering and Minimum Interlayer discrepancy.
CoRR, 2021

Few-shot learning of Parkinson's disease speech data with optimal convolution sparse kernel transfer learning.
Biomed. Signal Process. Control., 2021

2020
Classification Algorithm of Speech Data of Parkinsons Disease Based on Convolution Sparse Kernel Transfer Learning with Optimal Kernel and Parallel Sample Feature Selection.
CoRR, 2020

2017
Simultaneous learning of speech feature and segment for classification of Parkinson disease.
Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017

2016
Keeping the Meanings of the Source Text: An Introduction to Yes Translate.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2016

2015
Building a Collation Element Table for a Large Chinese Character Set in YES.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2015

2014
A Comparative Study on Simplified-Traditional Chinese Translation.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2014

2013
Tunable vernier microring optical filters using p-i-p resistor-based micro-heaters.
Proceedings of the 2013 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC), 2013

1998
Dialect MT: A Case Study between Cantonese and Mandarin.
Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, 1998


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