An Overview of Learning to Rank for Information Retrieval. - Xishuang Dong; Xiaodong Chen; Yi Guan; Zhiming Yu; Sheng Li (CSIE (3), 2009)

Selecting Optimal Feature Template Subset for CRFs. - Xingjun Xu; Guanglu Sun; Yi Guan; Xishuang Dong; Sheng Li (CIPS-SIGHAN, 2010)

HIT_LTRC at TREC 2010 Blog Track: Faceted Blog Distillation. - Jinfeng Yang; Xishuang Dong; Yi Guan; Chengzhen Huang; Sheng Wang (TREC, 2010)

HIT_LTRC at TREC 2011 Microblog Track. - Yun Li; Xishuang Dong; Yi Guan (TREC, 2011)

Set-Similarity Joins Based Semi-supervised Sentiment Analysis. - Xishuang Dong; Qibo Zou; Yi Guan (ICONIP (1), 2012)

Reserved Self-training: A Semi-supervised Sentiment Classification Method for Chinese Microblogs. - Zhiguang Liu; Xishuang Dong; Yi Guan; Jinfeng Yang (IJCNLP, 2013)

Representing Words as Lymphocytes. - Jinfeng Yang; Yi Guan; Xishuang Dong; Bin He 005 (AAAI, 2014)

Lymphocyte-style word representations. - Jinfeng Yang; Yi Guan; Xishuang Dong (ICIA, 2014)

Words Are Analogous To Lymphocytes: A Multi-Word-Agent Autonomous Learning Model. - Jinfeng Yang; Xishuang Dong; Yi Guan (ICSEng, 2014)

Short-term load forecasting in smart grid: A combined CNN and K-means clustering approach. - Xishuang Dong; Lijun Qian; Lei Huang 006 (BigComp, 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 (Healthcom, 2017)

A CNN based bagging learning approach to short-term load forecasting in smart grid. - Xishuang Dong; Lijun Qian; Lei Huang 006 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Multiple Time-Series Data Analysis for Rumor Detection on Social Media. - Chandra Mouli Madhav Kotteti; Xishuang Dong; Lijun Qian (IEEE BigData, 2018)

Fake News Detection Enhancement with Data Imputation. - Chandra Mouli Madhav Kotteti; Xishuang Dong; Na Li; Lijun Qian (DASC/PiCom/DataCom/CyberSciTech, 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)

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 (BIBM, 2019)

Recurrent Neural Network Based Feature Selection for High Dimensional and Low Sample Size Micro-array Data. - Shanta Chowdhury; Xishuang Dong; Xiangfang Li (IEEE BigData, 2019)

Hierarchical Transfer Convolutional Neural Networks for Image Classification. - Xishuang Dong; Hsiang-Huang Wu; Yuzhong Yan; Lijun Qian (IEEE BigData, 2019)

Aircraft Location Prediction using Deep Learning. - Damilola Adesina; Olutobi Adagunodo; Xishuang Dong; Lijun Qian (MILCOM, 2019)

Rumor Detection on Time-Series of Tweets via Deep Learning. - Chandra Mouli Madhav Kotteti; Xishuang Dong; Lijun Qian (MILCOM, 2019)

Deep Two-path Semi-supervised Learning for Fake News Detection. - Xishuang Dong; Uboho Victor; Shanta Chowdhury; Lijun Qian (CoRR, 2019)

Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding. - Shanta Chowdhury; Xishuang Dong; Oscar A. Solis; Lijun Qian; Xiangfang Li (ICMLA, 2020)

Inference Performance Comparison of Convolutional Neural Networks on Edge Devices. - Sheikh Rufsan Reza; Yuzhong Yan; Xishuang Dong; Lijun Qian (SmartCity360°, 2020)

Data Driven Network Monitoring and Intrusion Detection using Machine Learning. - Brandon Williams; Xishuang Dong; Lijun Qian (SNAMS, 2020)

Two-path Deep Semi-supervised Learning for Timely Fake News Detection. - Xishuang Dong; Uboho Victor; 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)

Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning. - Xishuang Dong; Shanta Chowdhury; Uboho Victor; Xiangfang Li; Lijun Qian (CoRR, 2020)

Efficient Privacy Preserving Edge Computing Framework for Image Classification. - Omobayode Fagbohungbe; Sheikh Rufsan Reza; Xishuang Dong; Lijun Qian (CoRR, 2020)

Two-Path Deep Semisupervised Learning for Timely Fake News Detection. - Xishuang Dong; Uboho Victor; Lijun Qian (IEEE Trans. Comput. Soc. Syst., 2020)

Robust Face Mask Detection using Deep Learning on IoT Devices. - Sheikh Rufsan Reza; Xishuang Dong; Lijun Qian (ICC Workshops, 2021)

Semi-supervised Learning for COVID-19 Image Classification via ResNet. - Lucy Nwuso; Xiangfang Li; Lijun Qian; Seungchan Kim; Xishuang Dong (CoRR, 2021)

A Novel Dataset for Keypoint Detection of quadruped Animals from Images. - Prianka Banik; Lin Li; Xishuang Dong (CoRR, 2021)

Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection. - Xishuang Dong; Shouvon Sarker; Lijun Qian (IDSTA, 2022)

Performance Evaluation of Data Augmentation for Object Detection in XView Dataset. - John Olamofe; Xishuang Dong; Lijun Qian; Eric Shields (IDSTA, 2022)

Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection. - Xishuang Dong; Lijun Qian (CoRR, 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)

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)

Medical Data Augmentation via ChatGPT: A Case Study on Medication Identification and Medication Event Classification. - Shouvon Sarker; Lijun Qian; Xishuang Dong (CoRR, 2023)

Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360. - Christina Hastings Blow; Lijun Qian; Camille Gibson; Pamela Obiomon; Xishuang Dong (CoRR, 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)

Data Reliability Enhanced Prediction for Recommendation System: A Case Study on Named Entity Recognition. - Prianka Banik; Lin Li 068; Xishuang Dong; Lijun Qian (IEEE Big Data, 2024)

Unsupervised Ensemble Semantic Segmentation for Foreground-Background Separation on Satellite Image. - Jaelen Tarry; Xishuang Dong; Xiangfang Li; Lijun Qian; Leah Chance; Philip Morrone (ICSC, 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)

Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement. - Shouvon Sarker; Xishuang Dong; Xiangfang Li; Lijun Qian (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)

Tracing Student Learning Outcome at Historically Black Colleges and Universities via Deep Knowledge Tracing. - Ming-Mu Kuo; Xiangfang Li; Pamela Obiomon; Lijun Qian; Xishuang Dong (IEEE Access, 2025)

Improving Student Learning Outcome Tracing at HBCUs Using Tabular Generative AI and Deep Knowledge Tracing. - Ming-Mu Kuo; Xiangfang Li; Pamela Obiomon; Lijun Qian; Xishuang Dong (IEEE Access, 2025)

Data augmentation via diffusion model to enhance AI fairness. - Christina Hastings Blow; Lijun Qian; Camille Gibson; Pamela Obiomon; Xishuang Dong (Frontiers Artif. Intell., 2025)

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice. - Benign John Ihugba; Afsana Nasrin; Ling Wu; Lin Li; Lijun Qian; Xishuang Dong (CoRR, 2025)

Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs). - Shouvon Sarker; Xishuang Dong; Lijun Qian (CoRR, 2025)

Enhancing Learning Path Recommendation via Multi-task Learning. - Afsana Nasrin; Lijun Qian; Pamela Obiomon; Xishuang Dong (CoRR, 2025)

Human-centered GeoAI foundation models: where GeoAI meets human dynamics. - Xinyue Ye; Jiaxin Du; Xinyu Li 012; Shih-Lung Shaw; Yanjie Fu; Xishuang Dong; Zhe Zhang 001; Ling Wu (Urban Inform., 2025)