Xishuang Dong

Orcid: 0000-0002-3742-0071

According to our database1, Xishuang Dong authored at least 41 papers between 2009 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Unsupervised Ensemble Semantic Segmentation for Foreground-Background Separation on Satellite Image.
Proceedings of the 18th IEEE International Conference on Semantic Computing, 2024

2023
Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360.
CoRR, 2023

Medical Data Augmentation via ChatGPT: A Case Study on Medication Identification and Medication Event Classification.
CoRR, 2023

2022
Efficient Privacy Preserving Edge Intelligent Computing Framework for Image Classification in IoT.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image.
CoRR, 2022

Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection.
CoRR, 2022

Performance Evaluation of Data Augmentation for Object Detection in XView Dataset.
Proceedings of the 3rd International Conference on Intelligent Data Science Technologies and Applications, 2022

Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection.
Proceedings of the 3rd International Conference on Intelligent Data Science Technologies and Applications, 2022

2021
A Novel Dataset for Keypoint Detection of quadruped Animals from Images.
CoRR, 2021

Semi-supervised Learning for COVID-19 Image Classification via ResNet.
CoRR, 2021

Robust Face Mask Detection using Deep Learning on IoT Devices.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020
Two-Path Deep Semisupervised Learning for Timely Fake News Detection.
IEEE Trans. Comput. Soc. Syst., 2020

Efficient Privacy Preserving Edge Computing Framework for Image Classification.
CoRR, 2020

Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning.
CoRR, 2020

Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media.
CoRR, 2020

Two-path Deep Semi-supervised Learning for Timely Fake News Detection.
CoRR, 2020

Data Driven Network Monitoring and Intrusion Detection using Machine Learning.
Proceedings of the Seventh International Conference on Social Networks Analysis, 2020

Inference Performance Comparison of Convolutional Neural Networks on Edge Devices.
Proceedings of the Science and Technologies for Smart Cities, 2020

Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019
Deep Two-path Semi-supervised Learning for Fake News Detection.
CoRR, 2019

Rumor Detection on Time-Series of Tweets via Deep Learning.
Proceedings of the 2019 IEEE Military Communications Conference, 2019

Aircraft Location Prediction using Deep Learning.
Proceedings of the 2019 IEEE Military Communications Conference, 2019

Hierarchical Transfer Convolutional Neural Networks for Image Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Recurrent Neural Network Based Feature Selection for High Dimensional and Low Sample Size Micro-array Data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records.
BMC Bioinform., 2018

Fake News Detection Enhancement with Data Imputation.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

Multiple Time-Series Data Analysis for Rumor Detection on Social Media.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
A CNN based bagging learning approach to short-term load forecasting in smart grid.
Proceedings of the 2017 IEEE SmartWorld, 2017

Transfer bi-directional LSTM RNN for named entity recognition in Chinese electronic medical records.
Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017

Short-term load forecasting in smart grid: A combined CNN and K-means clustering approach.
Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017

2014
Words Are Analogous To Lymphocytes: A Multi-Word-Agent Autonomous Learning Model.
Proceedings of the Progress in Systems Engineering, 2014

Lymphocyte-style word representations.
Proceedings of the IEEE International Conference on Information and Automation, 2014

Representing Words as Lymphocytes.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Reserved Self-training: A Semi-supervised Sentiment Classification Method for Chinese Microblogs.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

2012
Set-Similarity Joins Based Semi-supervised Sentiment Analysis.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
HIT_LTRC at TREC 2011 Microblog Track.
Proceedings of The Twentieth Text REtrieval Conference, 2011

2010
HIT_LTRC at TREC 2010 Blog Track: Faceted Blog Distillation.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

Selecting Optimal Feature Template Subset for CRFs.
Proceedings of the CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010

2009
An Overview of Learning to Rank for Information Retrieval.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009


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