| 2025 | VISIGRAPP | A Subspace Projection Based Technique for Visualizing Machine Learning Models. | Ziqian Bi, Raymond Gao, Shiaofen Fang |
| 2023 | SAC | Analysis of AI Models for Student Admissions: A Case Study. | Kelly M. Van Busum, Shiaofen Fang |
| 2023 | SIGCSE | An Exploration into Adaptive Teaching of Discrete Mathematics for Computer Science Undergraduate Students. | Yuni Xia, Shiaofen Fang, Kathy E. Johnson |
| 2023 | SACI | AI-Augmented Peer Led Team Learning for STEM Education. | Karen D'Souza, Lin Zhu, Pratibha Varma-Nelson, Shiaofen Fang, Snehasis Mukhopadhyay |
| 2022 | ICMLA | Time-to-event modeling of subreddits transitions to r/SuicideWatch. | Xueying Liu, Shiaofen Fang, George O. Mohler, Joan Carlson, Yunyu Xiao |
| 2018 | MICCAI | Heritability Estimation of Reliable Connectomic Features. | Linhui Xie, Enrico Amico, Paul Salama, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaqun Goi, Jingwen Yan, Li Shen |
| 2017 | DASC | Online Review Analysis by Visual Feature Selection. | Keerthika Koka, Shiaofen Fang |
| 2014 | AMIA | Demonstrating A Public Health Terrain Data Visualization System. | Jeremy Keiper, Shiaofen Fang, Mathew Palakal, Yuni Xia, Sam Bloomquist, Shaun J. Grannis, Weizhi Li, Thanh M. Nguyen, Anand Krishnan |
| 2013 | AINA | Mining Online Book Reviews for Sentimental Clustering. | Eric Lin, Shiaofen Fang, Jie Wang |
| 2012 | CVPR | Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. | Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen |
| 2011 | MICCAI | Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models. | Jing Wan, Sungeun Kim, Mark Inlow, Kwangsik Nho, Shanker Swaminathan, Shannon L. Risacher, Shiaofen Fang, Michael W. Weiner, Mirza Faisal Beg, Lei Wang, Andrew J. Saykin, Li Shen |
| 2010 | DICTA | Surface Analysis from Video Volumes for Fetal Alcohol Syndrome Classification. | Shiaofen Fang, Ying Liu, Sophia Vinci-Booher, Bruce Anthony, Feng Zhou |
| 2010 | HPDC | Text mining for bone biology. | Andrew Hoblitzell, Snehasis Mukhopadhyay, Qian You, Shiaofen Fang, Yuni Xia, Joseph Bidwell |
| 2009 | SAC | Facial image classification of mouse embryos for the animal model study of fetal alcohol syndrome. | Shiaofen Fang, Ying Liu, Jeffrey Huang, Sophia Vinci-Booher, Bruce Anthony, Feng Zhou |
| 2009 | SAC | Medical volume segmentation using bank of Gabor filters. | Adebayo Olowoyeye, Mihran Tuceryan, Shiaofen Fang |
| 2008 | AINA | Pervasive and Trustworthy Healthcare. | Kai Wang, Yan Sui, Xukai Zou, Arjan Durresi, Shiaofen Fang |
| 2008 | CW | Automatic Surface Scanning of 3D Artifacts. | Shiaofen Fang, Basil George, Mathew Palakal |
| 2008 | GMP | A Volumetric Framework for the Modeling and Rendering of Dynamic and Heterogeneous Scenes. | Duoduo Liao, Shiaofen Fang |
| 2006 | CGI | Automated Face Identification Using Volume-Based Facial Models. | Jeffrey Huang, Neha Maheshwari, Shiaofen Fang |
| 2006 | WSC | Volume fusion: a unified framework for multi-scale dynamic and heterogeneous scenes. | Duoduo Liao, Shiaofen Fang |
| 2006 | SAC | Digital geometry image analysis for medical diagnosis. | Jiandong Fang, Shiaofen Fang, Jeffrey Huang, Mihran Tuceryan |
| 2006 | SAC | Boundary surface extraction and rendering for volume datasets. | Shiaofen Fang, Pooja Gupta |
| 2006 | SAC | Visualization of unstructured text sequences of nursing narratives. | Shiaofen Fang, Min Lwin, Patricia R. Ebright |