Xishuang Dong

According to our database, Xishuang Dong authored at least 45 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data Augmentation via Diffusion Model to Enhance AI Fairness.

Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong

CoRR, 2024

Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities.

Ming-Mu Kuo, Xiangfang Li, Lijun Qian, Pamela Obiomon, Xishuang Dong

CoRR, 2024

Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement.

Shouvon Sarker, Xishuang Dong, Xiangfang Li, Lijun Qian

CoRR, 2024

Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning.

Ming Kuo, Shouvon Sarker, Lijun Qian, Yujian Fu, Xiangfang Li, Xishuang Dong

CoRR, 2024

Unsupervised Ensemble Semantic Segmentation for Foreground-Background Separation on Satellite Image.

Jaelen Tarry, Xishuang Dong, Xiangfang Li, Lijun Qian, Leah Chance, Philip Morrone

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.

Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360.

Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong

CoRR, 2023

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

Shouvon Sarker, Lijun Qian, Xishuang Dong

CoRR, 2023

2022

Efficient Privacy Preserving Edge Intelligent Computing Framework for Image Classification in IoT.

Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian

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.

Lucy Nwosu, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong

CoRR, 2022

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

Xishuang Dong, Lijun Qian

CoRR, 2022

Performance Evaluation of Data Augmentation for Object Detection in XView Dataset.

John Olamofe, Xishuang Dong, Lijun Qian, Eric Shields

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.

Xishuang Dong, Shouvon Sarker, Lijun Qian

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.

Prianka Banik, Lin Li, Xishuang Dong

CoRR, 2021

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

Lucy Nwuso, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong

CoRR, 2021

Robust Face Mask Detection using Deep Learning on IoT Devices.

Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian

Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020

Two-Path Deep Semisupervised Learning for Timely Fake News Detection.

Xishuang Dong, Uboho Victor, Lijun Qian

IEEE Trans. Comput. Soc. Syst., 2020

Efficient Privacy Preserving Edge Computing Framework for Image Classification.

Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian

CoRR, 2020

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

Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian

CoRR, 2020

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

Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian

CoRR, 2020

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

Xishuang Dong, Uboho Victor, Lijun Qian

CoRR, 2020

Data Driven Network Monitoring and Intrusion Detection using Machine Learning.

Brandon Williams, Xishuang Dong, Lijun Qian

Proceedings of the Seventh International Conference on Social Networks Analysis, 2020

Inference Performance Comparison of Convolutional Neural Networks on Edge Devices.

Sheikh Rufsan Reza, Yuzhong Yan, Xishuang Dong, Lijun Qian

Proceedings of the Science and Technologies for Smart Cities, 2020

Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding.

Shanta Chowdhury, Xishuang Dong, Oscar A. Solis, Lijun Qian, Xiangfang Li

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

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

Xishuang Dong, Uboho Victor, Shanta Chowdhury, Lijun Qian

CoRR, 2019

Rumor Detection on Time-Series of Tweets via Deep Learning.

Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian

Proceedings of the 2019 IEEE Military Communications Conference, 2019

Aircraft Location Prediction using Deep Learning.

Damilola Adesina, Olutobi Adagunodo, Xishuang Dong, Lijun Qian

Proceedings of the 2019 IEEE Military Communications Conference, 2019

Hierarchical Transfer Convolutional Neural Networks for Image Classification.

Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan, Lijun Qian

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.

Shanta Chowdhury, Xishuang Dong, Xiangfang Li

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.

Sen Peng, Seungchan Kim, Harshil Dhruv, Sanhita Rath, Connor Vuong, Saumya Bollam, Jenny Eschbacher, Xishuang Dong, Shwetal Mehta, Nader Sanai, Michael E. Berens

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.

Shanta Chowdhury, Xishuang Dong, Lijun Qian, Xiangfang Li, Yi Guan, Jinfeng Yang, Qiubin Yu

BMC Bioinform., 2018

Fake News Detection Enhancement with Data Imputation.

Chandra Mouli Madhav Kotteti, Xishuang Dong, Na Li, Lijun Qian

Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

Multiple Time-Series Data Analysis for Rumor Detection on Social Media.

Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian

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.

Xishuang Dong, Lijun Qian, Lei Huang

Proceedings of the 2017 IEEE SmartWorld, 2017

Transfer bi-directional LSTM RNN for named entity recognition in Chinese electronic medical records.

Xishuang Dong, Shanta Chowdhury, Lijun Qian, Yi Guan, Jinfeng Yang, Qiubin Yu

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.

Xishuang Dong, Lijun Qian, Lei Huang

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.

Jinfeng Yang, Xishuang Dong, Yi Guan

Proceedings of the Progress in Systems Engineering, 2014

Lymphocyte-style word representations.

Jinfeng Yang, Yi Guan, Xishuang Dong

Proceedings of the IEEE International Conference on Information and Automation, 2014

Representing Words as Lymphocytes.

Jinfeng Yang, Yi Guan, Xishuang Dong, Bin He

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Reserved Self-training: A Semi-supervised Sentiment Classification Method for Chinese Microblogs.

Zhiguang Liu, Xishuang Dong, Yi Guan, Jinfeng Yang

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

2012

Set-Similarity Joins Based Semi-supervised Sentiment Analysis.

Xishuang Dong, Qibo Zou, Yi Guan

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

HIT_LTRC at TREC 2011 Microblog Track.

Yun Li, Xishuang Dong, Yi Guan

Proceedings of The Twentieth Text REtrieval Conference, 2011

2010

HIT_LTRC at TREC 2010 Blog Track: Faceted Blog Distillation.

Jinfeng Yang, Xishuang Dong, Yi Guan, Chengzhen Huang, Sheng Wang

Proceedings of The Nineteenth Text REtrieval Conference, 2010

Selecting Optimal Feature Template Subset for CRFs.

Xingjun Xu, Guanglu Sun, Yi Guan, Xishuang Dong, Sheng Li

Proceedings of the CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010

2009

An Overview of Learning to Rank for Information Retrieval.

Xishuang Dong, Xiaodong Chen, Yi Guan, Zhiming Yu, Sheng Li

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009