Ontology- Based Information Integration in Virtual Learning Environment. - Aijuan Dong; Honglin Li (Web Intelligence, 2005)

Integrated Documentary Video Access for Education. - Aijuan Dong; Honglin Li (CATA, 2006)

Efficient Image Classification on Vertically Decomposed Data. - Taufik Fuadi Abidin; Aijuan Dong; Honglin Li; William Perrizo (ICDE Workshops, 2006)

Semantic Segmentation of Documentary Video using Music Breaks. - Aijuan Dong; Honglin Li (ICME, 2006)

Multi-ontology Based Multimedia Annotation for Domain-specific Information Retrieval. - Aijuan Dong; Honglin Li (SUTC (2), 2006)

Parallel Implementation of Hybrid Clustering. - Baoying Wang; Aijuan Dong (DMIN, 2008)

A Parallel Attractor-tree Based Clustering Method. - Baoying Wang; Aijuan Dong (HPCNCS, 2008)

Feature Selection and Comparison in Medical Image Analysis. - Aijuan Dong; Baoying Wang (IPCV, 2009)

Parallel hierarchical clustering using weighted confidence affinity. - Baoying Wang; Imad Rahal; Aijuan Dong (Int. J. Data Min. Model. Manag., 2011)

Automated Viral Plaque Counting Using Image Segmentation and Morphological Analysis. - Michael Moorman; Aijuan Dong (ISM, 2012)

Detection of breast tumor candidates using marker-controlled watershed segmentation and morphological analysis. - Samuel H. Lewis; Aijuan Dong (SSIAI, 2012)

Parallel Dynamic Fraud Detection on Market Basket Data. - Baoying Wang; Aijuan Dong (Int. J. Comput. Their Appl., 2013)

Deep Learning Enabled Predicting Modeling of Mortality of Diabetes Mellitus Patients. - Ian Wittler; Xinlian Liu; Aijuan Dong (PEARC, 2019)

A Statistical Method for Constructing Tang Poet Social Networks. - Aijuan Dong; Xinlian Liu (ICSC, 2020)

Automated Detection of Corona Cavities from SDO Images with YOLO. - Aijuan Dong; Xinlian Liu (BigMM, 2021)

Integrating cloud computing into computer science curriculum: a pilot study with teaching introductory database courses. - Aijuan Dong (J. Comput. Sci. Coll., 2021)

YOLO-based Deep Learning to Automated Bacterial Colony Counting. - Jaken Whipp; Aijuan Dong (BigMM, 2022)