Xishuang Dong

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 34

Top Topics

Electronic Medical Record

Semantic Segmentation

Convolutional Neural Networks

Top Venues

Publications

Ming Kuo, Shouvon Sarker, Lijun Qian, Yujian Fu, Xiangfang Li, Xishuang Dong
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning. CoRR (2024)
Jaelen Tarry, Xishuang Dong, Xiangfang Li, Lijun Qian, Leah Chance, Philip Morrone
Unsupervised Ensemble Semantic Segmentation for Foreground-Background Separation on Satellite Image. ICSC (2024)
Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian
Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Shouvon Sarker, Lijun Qian, Xishuang Dong
Medical Data Augmentation via ChatGPT: A Case Study on Medication Identification and Medication Event Classification. CoRR (2023)
Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong
Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360. CoRR (2023)
Xishuang Dong, Shouvon Sarker, Lijun Qian
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection. IDSTA (2022)
Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian
Efficient Privacy Preserving Edge Intelligent Computing Framework for Image Classification in IoT. IEEE Trans. Emerg. Top. Comput. Intell. 6 (4) (2022)
Xishuang Dong, Lijun Qian
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection. CoRR (2022)
Lucy Nwosu, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image. CoRR (2022)
John Olamofe, Xishuang Dong, Lijun Qian, Eric Shields
Performance Evaluation of Data Augmentation for Object Detection in XView Dataset. IDSTA (2022)
Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian
Robust Face Mask Detection using Deep Learning on IoT Devices. ICC Workshops (2021)
Lucy Nwuso, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong
Semi-supervised Learning for COVID-19 Image Classification via ResNet. CoRR (2021)
Prianka Banik, Lin Li, Xishuang Dong
A Novel Dataset for Keypoint Detection of quadruped Animals from Images. CoRR (2021)
Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian
Efficient Privacy Preserving Edge Computing Framework for Image Classification. CoRR (2020)
Sheikh Rufsan Reza, Yuzhong Yan, Xishuang Dong, Lijun Qian
Inference Performance Comparison of Convolutional Neural Networks on Edge Devices. SmartCity360° (2020)
Xishuang Dong, Uboho Victor, Lijun Qian
Two-path Deep Semi-supervised Learning for Timely Fake News Detection. CoRR (2020)
Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian
Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media. CoRR (2020)
Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian
Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning. CoRR (2020)
Shanta Chowdhury, Xishuang Dong, Oscar A. Solis, Lijun Qian, Xiangfang Li
Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding. ICMLA (2020)
Xishuang Dong, Uboho Victor, Lijun Qian
Two-Path Deep Semisupervised Learning for Timely Fake News Detection. IEEE Trans. Comput. Soc. Syst. 7 (6) (2020)
Brandon Williams, Xishuang Dong, Lijun Qian
Data Driven Network Monitoring and Intrusion Detection using Machine Learning. SNAMS (2020)
Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan, Lijun Qian
Hierarchical Transfer Convolutional Neural Networks for Image Classification. IEEE BigData (2019)
Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian
Rumor Detection on Time-Series of Tweets via Deep Learning. MILCOM (2019)
Shanta Chowdhury, Xishuang Dong, Xiangfang Li
Recurrent Neural Network Based Feature Selection for High Dimensional and Low Sample Size Micro-array Data. IEEE BigData (2019)
Xishuang Dong, Uboho Victor, Shanta Chowdhury, Lijun Qian
Deep Two-path Semi-supervised Learning for Fake News Detection. CoRR (2019)
Sen Peng, Seungchan Kim, Harshil Dhruv, Sanhita Rath, Connor Vuong, Saumya Bollam, Jenny Eschbacher, Xishuang Dong, Shwetal Mehta, Nader Sanai, Michael E. Berens
Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing. BIBM (2019)
Damilola Adesina, Olutobi Adagunodo, Xishuang Dong, Lijun Qian
Aircraft Location Prediction using Deep Learning. MILCOM (2019)
Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan, Lijun Qian
Hierarchical Transfer Convolutional Neural Networks for Image Classification. CoRR (2018)
Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian
Multiple Time-Series Data Analysis for Rumor Detection on Social Media. IEEE BigData (2018)
Shanta Chowdhury, Xishuang Dong, Lijun Qian, Xiangfang Li, Yi Guan, Jinfeng Yang, Qiubin Yu
A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records. BMC Bioinform. (17) (2018)
Chandra Mouli Madhav Kotteti, Xishuang Dong, Na Li, Lijun Qian
Fake News Detection Enhancement with Data Imputation. DASC/PiCom/DataCom/CyberSciTech (2018)
Xishuang Dong, Shanta Chowdhury, Lijun Qian, Yi Guan, Jinfeng Yang, Qiubin Yu
Transfer bi-directional LSTM RNN for named entity recognition in Chinese electronic medical records. Healthcom (2017)
Xishuang Dong, Lijun Qian, Lei Huang
A CNN based bagging learning approach to short-term load forecasting in smart grid. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Xishuang Dong, Lijun Qian, Lei Huang
Short-term load forecasting in smart grid: A combined CNN and K-means clustering approach. BigComp (2017)
Jinfeng Yang, Yi Guan, Xishuang Dong, Bin He
Representing Words as Lymphocytes. AAAI (2014)
Jinfeng Yang, Xishuang Dong, Yi Guan
Words Are Analogous To Lymphocytes: A Multi-Word-Agent Autonomous Learning Model. ICSEng (2014)
Jinfeng Yang, Yi Guan, Xishuang Dong
Lymphocyte-style word representations. ICIA (2014)
Zhiguang Liu, Xishuang Dong, Yi Guan, Jinfeng Yang
Reserved Self-training: A Semi-supervised Sentiment Classification Method for Chinese Microblogs. IJCNLP (2013)
Xishuang Dong, Qibo Zou, Yi Guan
Set-Similarity Joins Based Semi-supervised Sentiment Analysis. ICONIP (1) (2012)
Yun Li, Xishuang Dong, Yi Guan
HIT_LTRC at TREC 2011 Microblog Track. TREC (2011)
Jinfeng Yang, Xishuang Dong, Yi Guan, Chengzhen Huang, Sheng Wang
HIT_LTRC at TREC 2010 Blog Track: Faceted Blog Distillation. TREC (2010)
Xingjun Xu, Guanglu Sun, Yi Guan, Xishuang Dong, Sheng Li
Selecting Optimal Feature Template Subset for CRFs. CIPS-SIGHAN (2010)
Xishuang Dong, Xiaodong Chen, Yi Guan, Zhiming Yu, Sheng Li
An Overview of Learning to Rank for Information Retrieval. CSIE (3) (2009)