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Xishuang Dong
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2020 – today
- 2024
- [c26]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: 212-217 - [i16]Ming Kuo, Shouvon Sarker, Lijun Qian, Yujian Fu, Xiangfang Li, Xishuang Dong:
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning. CoRR abs/2405.05134 (2024) - [i15]Shouvon Sarker, Xishuang Dong, Xiangfang Li, Lijun Qian:
Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement. CoRR abs/2410.01869 (2024) - [i14]Ming-Mu Kuo, Xiangfang Li, Lijun Qian, Pamela Obiomon, Xishuang Dong:
Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities. CoRR abs/2410.13876 (2024) - [i13]Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong:
Data Augmentation via Diffusion Model to Enhance AI Fairness. CoRR abs/2410.15470 (2024) - 2023
- [j4]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): 1492-1505 (2023) - [i12]Shouvon Sarker, Lijun Qian, Xishuang Dong:
Medical Data Augmentation via ChatGPT: A Case Study on Medication Identification and Medication Event Classification. CoRR abs/2306.07297 (2023) - [i11]Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong:
Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360. CoRR abs/2312.12560 (2023) - 2022
- [j3]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): 941-956 (2022) - [c25]John Olamofe, Xishuang Dong, Lijun Qian, Eric Shields:
Performance Evaluation of Data Augmentation for Object Detection in XView Dataset. IDSTA 2022: 26-33 - [c24]Xishuang Dong, Shouvon Sarker, Lijun Qian:
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection. IDSTA 2022: 46-53 - [i10]Xishuang Dong, Lijun Qian:
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection. CoRR abs/2201.02048 (2022) - [i9]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 abs/2206.00002 (2022) - 2021
- [c23]Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian:
Robust Face Mask Detection using Deep Learning on IoT Devices. ICC Workshops 2021: 1-6 - [i8]Lucy Nwuso, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong:
Semi-supervised Learning for COVID-19 Image Classification via ResNet. CoRR abs/2103.06140 (2021) - [i7]Prianka Banik, Lin Li, Xishuang Dong:
A Novel Dataset for Keypoint Detection of quadruped Animals from Images. CoRR abs/2108.13958 (2021) - 2020
- [j2]Xishuang Dong
, Uboho Victor, Lijun Qian
:
Two-Path Deep Semisupervised Learning for Timely Fake News Detection. IEEE Trans. Comput. Soc. Syst. 7(6): 1386-1398 (2020) - [c22]Shanta Chowdhury, Xishuang Dong, Oscar A. Solis, Lijun Qian, Xiangfang Li:
Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding. ICMLA 2020: 258-263 - [c21]Sheikh Rufsan Reza, Yuzhong Yan, Xishuang Dong, Lijun Qian:
Inference Performance Comparison of Convolutional Neural Networks on Edge Devices. SmartCity360° 2020: 323-335 - [c20]Brandon Williams, Xishuang Dong, Lijun Qian:
Data Driven Network Monitoring and Intrusion Detection using Machine Learning. SNAMS 2020: 1-7 - [i6]Xishuang Dong, Uboho Victor, Lijun Qian:
Two-path Deep Semi-supervised Learning for Timely Fake News Detection. CoRR abs/2002.00763 (2020) - [i5]Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian:
Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media. CoRR abs/2004.12500 (2020) - [i4]Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian:
Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning. CoRR abs/2005.03994 (2020) - [i3]Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian:
Efficient Privacy Preserving Edge Computing Framework for Image Classification. CoRR abs/2005.04563 (2020)
2010 – 2019
- 2019
- [c19]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: 2757-2762 - [c18]Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan, Lijun Qian:
Hierarchical Transfer Convolutional Neural Networks for Image Classification. IEEE BigData 2019: 2817-2825 - [c17]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: 4823-4828 - [c16]Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian:
Rumor Detection on Time-Series of Tweets via Deep Learning. MILCOM 2019: 1-7 - [c15]Damilola Adesina, Olutobi Adagunodo, Xishuang Dong, Lijun Qian:
Aircraft Location Prediction using Deep Learning. MILCOM 2019: 127-132 - [i2]Xishuang Dong, Uboho Victor, Shanta Chowdhury, Lijun Qian:
Deep Two-path Semi-supervised Learning for Fake News Detection. CoRR abs/1906.05659 (2019) - 2018
- [j1]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. 19-S(17): 75-84 (2018) - [c14]Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian:
Multiple Time-Series Data Analysis for Rumor Detection on Social Media. IEEE BigData 2018: 4413-4419 - [c13]Chandra Mouli Madhav Kotteti, Xishuang Dong, Na Li, Lijun Qian:
Fake News Detection Enhancement with Data Imputation. DASC/PiCom/DataCom/CyberSciTech 2018: 187-192 - [i1]Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan, Lijun Qian:
Hierarchical Transfer Convolutional Neural Networks for Image Classification. CoRR abs/1804.00021 (2018) - 2017
- [c12]Xishuang Dong, Lijun Qian, Lei Huang:
Short-term load forecasting in smart grid: A combined CNN and K-means clustering approach. BigComp 2017: 119-125 - [c11]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: 1-4 - [c10]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: 1-6 - 2014
- [c9]Jinfeng Yang, Yi Guan, Xishuang Dong, Bin He:
Representing Words as Lymphocytes. AAAI 2014: 3146-3147 - [c8]Jinfeng Yang, Yi Guan, Xishuang Dong:
Lymphocyte-style word representations. ICIA 2014: 920-925 - [c7]Jinfeng Yang, Xishuang Dong, Yi Guan:
Words Are Analogous To Lymphocytes: A Multi-Word-Agent Autonomous Learning Model. ICSEng 2014: 755-760 - 2013
- [c6]Zhiguang Liu, Xishuang Dong, Yi Guan, Jinfeng Yang:
Reserved Self-training: A Semi-supervised Sentiment Classification Method for Chinese Microblogs. IJCNLP 2013: 455-462 - 2012
- [c5]Xishuang Dong, Qibo Zou, Yi Guan:
Set-Similarity Joins Based Semi-supervised Sentiment Analysis. ICONIP (1) 2012: 176-183 - 2011
- [c4]Yun Li, Xishuang Dong, Yi Guan:
HIT_LTRC at TREC 2011 Microblog Track. TREC 2011 - 2010
- [c3]Xingjun Xu, Guanglu Sun, Yi Guan, Xishuang Dong, Sheng Li:
Selecting Optimal Feature Template Subset for CRFs. CIPS-SIGHAN 2010 - [c2]Jinfeng Yang, Xishuang Dong, Yi Guan, Chengzhen Huang, Sheng Wang:
HIT_LTRC at TREC 2010 Blog Track: Faceted Blog Distillation. TREC 2010
2000 – 2009
- 2009
- [c1]Xishuang Dong, Xiaodong Chen, Yi Guan, Zhiming Yu, Sheng Li:
An Overview of Learning to Rank for Information Retrieval. CSIE (3) 2009: 600-606
Coauthor Index
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