Xishuang Dong - RankMe

59 papers A* 1B 3C 3Journal 29Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Data augmentation via diffusion model to enhance AI fairness. Frontiers Artif. Intell. Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong
2025	—	`conf`	Enhancing LLM Fine-Tuning for Text-to-SQLs by SQL Quality Measurement. ICDM (Workshops) Shouvon Sarker, Xishuang Dong, Xiangfang Li, Lijun Qian
2025	J	`jnl`	Enhancing Learning Path Recommendation via Multi-task Learning. CoRR Afsana Nasrin, Lijun Qian, Pamela Obiomon, Xishuang Dong
2025	J	`jnl`	Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs). CoRR Shouvon Sarker, Xishuang Dong, Lijun Qian
2025	J	`jnl`	Human-centered GeoAI foundation models: where GeoAI meets human dynamics. Urban Inform. Xinyue Ye, Jiaxin Du, Xinyu Li, Shih-Lung Shaw, Yanjie Fu, Xishuang Dong, Zhe Zhang, Ling Wu
2025	J	`jnl`	Improving Student Learning Outcome Tracing at HBCUs Using Tabular Generative AI and Deep Knowledge Tracing. IEEE Access Ming-Mu Kuo, Xiangfang Li, Pamela Obiomon, Lijun Qian, Xishuang Dong
2025	—	`conf`	Integrating Non-Parametric Attention and Prompt Refinement to Enhance LLM-Based Text-to-SQL Without External Knowledge. ICDM (Workshops) Shouvon Sarker, Lijun Qian, Xishuang Dong
2025	B	`conf`	Integrating Semi-Supervised Learning and Ensemble Deep Learning for Low-resource Deep Knowledge Tracing. IJCNN Xishuang Dong, Lin Li, Uchechukwu Melody Okechukwu, Lijun Qian
2025	J	`jnl`	Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice. CoRR Benign John Ihugba, Afsana Nasrin, Ling Wu, Lin Li, Lijun Qian, Xishuang Dong
2025	J	`jnl`	Multi-task GINN-LP for Multi-target Symbolic Regression. CoRR Hussein Rajabu, Lijun Qian, Xishuang Dong
2025	J	`jnl`	Systematic Comparative Analysis of Large Pretrained Language Models on Contextualized Medication Event Extraction. CoRR Tariq Abdul-Quddoos, Xishuang Dong, Lijun Qian
2025	J	`jnl`	Tracing Student Learning Outcome at Historically Black Colleges and Universities via Deep Knowledge Tracing. IEEE Access Ming-Mu Kuo, Xiangfang Li, Pamela Obiomon, Lijun Qian, Xishuang Dong
2024	J	`jnl`	Data Augmentation via Diffusion Model to Enhance AI Fairness. CoRR Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong
2024	B	`conf`	Data Reliability Enhanced Prediction for Recommendation System: A Case Study on Named Entity Recognition. IEEE Big Data Prianka Banik, Lin Li, Xishuang Dong, Lijun Qian
2024	J	`jnl`	Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities. CoRR Ming-Mu Kuo, Xiangfang Li, Lijun Qian, Pamela Obiomon, Xishuang Dong
2024	J	`jnl`	Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning. CoRR Ming Kuo, Shouvon Sarker, Lijun Qian, Yujian Fu, Xiangfang Li, Xishuang Dong
2024	J	`jnl`	Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement. CoRR Shouvon Sarker, Xishuang Dong, Xiangfang Li, Lijun Qian
2024	—	`conf`	Unsupervised Ensemble Semantic Segmentation for Foreground-Background Separation on Satellite Image. ICSC Jaelen Tarry, Xishuang Dong, Xiangfang Li, Lijun Qian, Leah Chance, Philip Morrone
2023	J	`jnl`	Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360. CoRR Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong
2023	J	`jnl`	Medical Data Augmentation via ChatGPT: A Case Study on Medication Identification and Medication Event Classification. CoRR Shouvon Sarker, Lijun Qian, Xishuang Dong
2023	J	`jnl`	Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian
2022	J	`jnl`	Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image. CoRR Lucy Nwosu, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong
2022	J	`jnl`	Efficient Privacy Preserving Edge Intelligent Computing Framework for Image Classification in IoT. IEEE Trans. Emerg. Top. Comput. Intell. Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian
2022	—	`conf`	Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection. IDSTA Xishuang Dong, Shouvon Sarker, Lijun Qian
2022	J	`jnl`	Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection. CoRR Xishuang Dong, Lijun Qian
2022	—	`conf`	Performance Evaluation of Data Augmentation for Object Detection in XView Dataset. IDSTA John Olamofe, Xishuang Dong, Lijun Qian, Eric Shields
2021	J	`jnl`	A Novel Dataset for Keypoint Detection of quadruped Animals from Images. CoRR Prianka Banik, Lin Li, Xishuang Dong
2021	—	`conf`	Robust Face Mask Detection using Deep Learning on IoT Devices. ICC Workshops Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian
2021	J	`jnl`	Semi-supervised Learning for COVID-19 Image Classification via ResNet. CoRR Lucy Nwuso, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong
2020	C	`conf`	Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding. ICMLA Shanta Chowdhury, Xishuang Dong, Oscar A. Solis, Lijun Qian, Xiangfang Li
2020	J	`jnl`	Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning. CoRR Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian
2020	—	`conf`	Data Driven Network Monitoring and Intrusion Detection using Machine Learning. SNAMS Brandon Williams, Xishuang Dong, Lijun Qian
2020	J	`jnl`	Efficient Privacy Preserving Edge Computing Framework for Image Classification. CoRR Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian
2020	J	`jnl`	Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media. CoRR Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian
2020	—	`conf`	Inference Performance Comparison of Convolutional Neural Networks on Edge Devices. SmartCity360° Sheikh Rufsan Reza, Yuzhong Yan, Xishuang Dong, Lijun Qian
2020	J	`jnl`	Two-Path Deep Semisupervised Learning for Timely Fake News Detection. IEEE Trans. Comput. Soc. Syst. Xishuang Dong, Uboho Victor, Lijun Qian
2020	J	`jnl`	Two-path Deep Semi-supervised Learning for Timely Fake News Detection. CoRR Xishuang Dong, Uboho Victor, Lijun Qian
2019	—	`conf`	Aircraft Location Prediction using Deep Learning. MILCOM Damilola Adesina, Olutobi Adagunodo, Xishuang Dong, Lijun Qian
2019	J	`jnl`	Deep Two-path Semi-supervised Learning for Fake News Detection. CoRR Xishuang Dong, Uboho Victor, Shanta Chowdhury, Lijun Qian
2019	—	`conf`	Hierarchical Transfer Convolutional Neural Networks for Image Classification. IEEE BigData Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan, Lijun Qian
2019	—	`conf`	Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing. BIBM Sen Peng, Seungchan Kim, Harshil Dhruv, Sanhita Rath, Connor Vuong, Saumya Bollam, Jenny Eschbacher, Xishuang Dong, Shwetal Mehta, Nader Sanai, Michael E. Berens
2019	—	`conf`	Recurrent Neural Network Based Feature Selection for High Dimensional and Low Sample Size Micro-array Data. IEEE BigData Shanta Chowdhury, Xishuang Dong, Xiangfang Li
2019	—	`conf`	Rumor Detection on Time-Series of Tweets via Deep Learning. MILCOM Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian
2018	J	`jnl`	A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records. BMC Bioinform. Shanta Chowdhury, Xishuang Dong, Lijun Qian, Xiangfang Li, Yi Guan, Jinfeng Yang, Qiubin Yu
2018	—	`conf`	Fake News Detection Enhancement with Data Imputation. DASC/PiCom/DataCom/CyberSciTech Chandra Mouli Madhav Kotteti, Xishuang Dong, Na Li, Lijun Qian
2018	J	`jnl`	Hierarchical Transfer Convolutional Neural Networks for Image Classification. CoRR Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan, Lijun Qian
2018	—	`conf`	Multiple Time-Series Data Analysis for Rumor Detection on Social Media. IEEE BigData Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian
2017	—	`conf`	A CNN based bagging learning approach to short-term load forecasting in smart grid. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Xishuang Dong, Lijun Qian, Lei Huang
2017	—	`conf`	Short-term load forecasting in smart grid: A combined CNN and K-means clustering approach. BigComp Xishuang Dong, Lijun Qian, Lei Huang
2017	C	`conf`	Transfer bi-directional LSTM RNN for named entity recognition in Chinese electronic medical records. Healthcom Xishuang Dong, Shanta Chowdhury, Lijun Qian, Yi Guan, Jinfeng Yang, Qiubin Yu
2014	—	`conf`	Lymphocyte-style word representations. ICIA Jinfeng Yang, Yi Guan, Xishuang Dong
2014	A*	`conf`	Representing Words as Lymphocytes. AAAI Jinfeng Yang, Yi Guan, Xishuang Dong, Bin He
2014	C	`conf`	Words Are Analogous To Lymphocytes: A Multi-Word-Agent Autonomous Learning Model. ICSEng Jinfeng Yang, Xishuang Dong, Yi Guan
2013	B	`conf`	Reserved Self-training: A Semi-supervised Sentiment Classification Method for Chinese Microblogs. IJCNLP Zhiguang Liu, Xishuang Dong, Yi Guan, Jinfeng Yang
2012	—	`conf`	Set-Similarity Joins Based Semi-supervised Sentiment Analysis. ICONIP (1) Xishuang Dong, Qibo Zou, Yi Guan
2011	—	`conf`	HIT_LTRC at TREC 2011 Microblog Track. TREC Yun Li, Xishuang Dong, Yi Guan
2010	—	`conf`	HIT_LTRC at TREC 2010 Blog Track: Faceted Blog Distillation. TREC Jinfeng Yang, Xishuang Dong, Yi Guan, Chengzhen Huang, Sheng Wang
2010	—	`conf`	Selecting Optimal Feature Template Subset for CRFs. CIPS-SIGHAN Xingjun Xu, Guanglu Sun, Yi Guan, Xishuang Dong, Sheng Li
2009	—	`conf`	An Overview of Learning to Rank for Information Retrieval. CSIE (3) Xishuang Dong, Xiaodong Chen, Yi Guan, Zhiming Yu, Sheng Li