G1 Smoothing Solid Objects by Bicubic Bezier Patches. - Youdong Liang; Xiuzi Ye; Shiaofen Fang (Eurographics, 1988)

Robustness in Geometric Modeling - Tolerance-Based Methods. - Shiaofen Fang; Beat D. Brüderlin (Workshop on Computational Geometry, 1991)

Obtaining robust Boolean set operations for manifold solids by avoiding and eliminating redundancy. - Xiaohong Zhu; Shiaofen Fang; Beat D. Brüderlin (Solid Modeling and Applications, 1993)

Robustness in solid modelling: a tolerance-based intuitionistic approach. - Shiaofen Fang; Beat D. Brüderlin; Xiaohong Zhu (Comput. Aided Des., 1993)

Volume morphing methods for landmark-based 3D image deformation. - Shiaofen Fang; Raghu Raghavan; Joan T. Richtsmeier (Image Processing, 1996)

Deformable Volume Rendering by 3D Texture Mapping and Octree Encoding. - Shiaofen Fang; Rajagopalan Srinivasan; Su Huang; Raghu Raghavan (IEEE Visualization, 1996)

Direct rendering of deformable volume data. - Shiaofen Fang; Rajagopalan Srinivasan (Image Processing, 1997)

Image-based transfer function design for data exploration in volume visualization. - Shiaofen Fang; Tom Biddlecome; Mihran Tuceryan (IEEE Visualization, 1998)

CEV: collaborative environment for visualization using Java RMI. - Rajeev R. Raje; Michael Boyles; Shiaofen Fang (Concurr. Pract. Exp., 1998)

Fast Voxelization of Three-Dimensional Synthetic Objects. - Hongsheng Chen; Shiaofen Fang (J. Graphics, GPU, & Game Tools, 1998)

A volumetic approach to interactive CSG modeling and rendering. - Hongsheng Chen; Shiaofen Fang (Symposium on Solid Modeling and Applications, 1999)

Slicing-Based Volumetric Collision Detection. - Michael Boyles; Shiaofen Fang (J. Graphics, GPU, & Game Tools, 1999)

Hardware Accelerated Voxelisation. - Shiaofen Fang; Hongsheng Chen (Volume Graphics (Graphics), 2000)

Fast CSG voxelization by frame buffer pixel mapping. - Shiaofen Fang; Duoduo Liao (VVS, 2000)

Volume morphing and rendering - An integrated approach. - Shiaofen Fang; Rajagopalan Srinivasan; Raghu Raghavan; Joan T. Richtsmeier (Comput. Aided Geom. Des., 2000)

Hardware accelerated voxelization. - Shiaofen Fang; Hongsheng Chen (Comput. Graph., 2000)

Integrating volume morphing and visualization. - Rajagopalan Srinivasan; Shiaofen Fang (Comput. Geom., 2000)

Fast volumetric CSG modeling using standard graphics system. - Duoduo Liao; Shiaofen Fang (Symposium on Solid Modeling and Applications, 2002)

Feature Decomposition Architectures for Neural Networks: Algorithms, Error Bounds, and Applications. - Haiying Wang; Snehasis Mukhopadhyay; Shiaofen Fang (Int. J. Neural Syst., 2002)

3DIVE: An Immersive Environment for Interactive Volume Data Exploration. - Michael Boyles; Shiaofen Fang (J. Comput. Sci. Technol., 2003)

Gender identification using frontal facial images. - Amit Jain; Jeffrey Huang; Shiaofen Fang (ICME, 2005)

Using Facial Images to Diagnose Fetal Alcohol Syndrome (FAS). - Jeffrey Huang; Amit Jain; Shiaofen Fang; Edward P. Riley (ITCC (2), 2005)

Automated Face Identification Using Volume-Based Facial Models. - Jeffrey Huang; Neha Maheshwari; Shiaofen Fang (Computer Graphics International, 2006)

Digital geometry image analysis for medical diagnosis. - Jiandong Fang; Shiaofen Fang; Jeffrey Huang; Mihran Tuceryan (SAC, 2006)

Boundary surface extraction and rendering for volume datasets. - Shiaofen Fang; Pooja Gupta (SAC, 2006)

Visualization of unstructured text sequences of nursing narratives. - Shiaofen Fang; Min Lwin; Patricia R. Ebright (SAC, 2006)

Volume fusion: a unified framework for multi-scale dynamic and heterogeneous scenes. - Duoduo Liao; Shiaofen Fang (WSC, 2006)

Multi-scale Iso-surface Extraction for Volume Visualization. - Shiaofen Fang; Marwan Adada (Int. J. Image Graph., 2006)

Visualizing Unstructured Text Sequences Using Iterative Visual Clustering. - Qian You; Shiaofen Fang; Patricia R. Ebright (VISUAL, 2007)

Pervasive and Trustworthy Healthcare. - Kai Wang 026; Yan Sui; Xukai Zou; Arjan Durresi; Shiaofen Fang (AINA Workshops, 2008)

A Volumetric Framework for the Modeling and Rendering of Dynamic and Heterogeneous Scenes. - Duoduo Liao; Shiaofen Fang (GMP, 2008)

Visualizing Vortex Shedding of an Elastic Plate Interacting with a 3D Viscous Flow. - Qian You; Shiaofen Fang; Luoding Zhu (CIT (2), 2009)

The Research of Optimization of Browse Efficiency Based on Web Information on Small-Screen. - Shengjun Xue; Geng Liu; Shiaofen Fang (FSKD (3), 2009)

Visualizing a Correlative Multi-level Graph of Biology Entity Interactions. - Qian You; Shiaofen Fang; Snehasis Mukhopadhyay; Harsha Gopal Goud Vaka; Jake Yue Chen (NBiS, 2009)

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 (SAC, 2009)

Medical volume segmentation using bank of Gabor filters. - Adebayo Olowoyeye; Mihran Tuceryan; Shiaofen Fang (SAC, 2009)

Automatic Surface Scanning of 3D Artifacts. - Shiaofen Fang; Basil George; Mathew Palakal (Int. J. Virtual Real., 2009)

Fast approximation of trilateral filter for tone mapping using a signal processing approach. - Jianbing Shen; Shiaofen Fang; Hanli Zhao; Xiaogang Jin 001; Hanqiu Sun (Signal Process., 2009)

Interactive feature visualization and detection for 3D face classification. - Jason McLaughlin; Shiaofen Fang; Jeffrey Huang; Luther Robinson; Sandra Jacobson; Tatiana Foroud; H. Eugene Hoyme (IEEE ICCI, 2010)

Surface Analysis from Video Volumes for Fetal Alcohol Syndrome Classification. - Shiaofen Fang; Ying Liu; Sophia Vinci-Booher; Bruce Anthony; Feng Zhou (DICTA, 2010)

Text mining for bone biology. - Andrew Hoblitzell; Snehasis Mukhopadhyay; Qian You; Shiaofen Fang; Yuni Xia; Joseph Bidwell (HPDC, 2010)

A Framework for 3D Analysis of Facial Morphology in Fetal Alcohol Syndrome. - Jing Wan; Li Shen 001; Shiaofen Fang; Jason McLaughlin; Ilona Autti-Rämö; Åse Fagerlund; Edward P. Riley; H. Eugene Hoyme; Elizabeth S. Moore; Tatiana Foroud (MIAR, 2010)

GeneTerrain: Visual exploration of differential gene expression profiles organized in native biomolecular interaction networks. - Qian You; Shiaofen Fang; Jake Yue Chen (Inf. Vis., 2010)

A unified framework for designing textures using energy optimization. - Jianbing Shen; Hanqiu Sun; Jiaya Jia; Hanli Zhao; Xiaogang Jin 001; Shiaofen Fang (Pattern Recognit., 2010)

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 032; Andrew J. Saykin; Li Shen 001 (MICCAI (2), 2011)

An immersed boundary method based on the lattice Boltzmann approach in three dimensions, with application. - Luoding Zhu; Guo-Wei He; Shizhao Wang; Laura Miller; Xing Zhang 004; Qian You; Shiaofen Fang (Comput. Math. Appl., 2011)

Multilevel text mining for bone biology. - Omkar J. Tilak; Andrew Hoblitzell; Snehasis Mukhopadhyay; Qian You; Shiaofen Fang; Yuni Xia; Joseph Bidwell (Concurr. Comput. Pract. Exp., 2011)

Interactive Feature Visualization and Detection for 3D Face Classification. - Jason McLaughlin; Shiaofen Fang; Sandra Jacobson; H. Eugene Hoyme; Luther Robinson; Tatiana Foroud (Int. J. Cogn. Informatics Nat. Intell., 2011)

Structural visualization of sequential DNA data. - Xiao-hong Mao; Jinghua Fu; Wei Chen 001; Qian You; Shiaofen Fang; Qunsheng Peng 001 (J. Zhejiang Univ. Sci. C, 2011)

Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. - Jing Wan; Zhilin Zhang 002; Jingwen Yan; Taiyong Li; Bhaskar D. Rao; Shiaofen Fang; Sungeun Kim; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (CVPR, 2012)

Pattern Visualization of Human Connectome Data. - Yishi Guo; Yang Wang; Shiaofen Fang; Hongyang Chao; Andrew J. Saykin; Li Shen 001 (EuroVis (Short Papers), 2012)

Iterative Visual Clustering for Learning Concepts from Unstructured Text. - Qian You; Shiaofen Fang; Patricia R. Ebright (Int. J. Softw. Informatics, 2012)

Mining Online Book Reviews for Sentimental Clustering. - Eric Lin; Shiaofen Fang; Jie Wang 008 (AINA Workshops, 2013)

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 (AMIA, 2014)

Visualization and Clustering of Online Book Reviews. - Shiaofen Fang; Lanfang Miao; Eric Lin (IVAPP, 2014)

Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning. - Jing Wan; Zhilin Zhang 002; Bhaskar D. Rao; Shiaofen Fang; Jingwen Yan; Andrew J. Saykin; Li Shen 001 (IEEE Trans. Medical Imaging, 2014)

Integrated Visualization of Human Brain Connectome Data. - Huang Li; Shiaofen Fang; Joaquín Goñi; Joey A. Contreras; Yanhua Liang; Chengtao Cai; John D. West; Shannon L. Risacher; Yang Wang; Olaf Sporns; Andrew J. Saykin; Li Shen 001 (BIH, 2015)

Healthcare Data Visualization: Geospatial and Temporal Integration. - Shenhui Jiang; Shiaofen Fang; Sam Bloomquist; Jeremy Keiper; Mathew J. Palakal; Yuni Xia; Shaun J. Grannis (VISIGRAPP (2: IVAPP), 2016)

Spiral Theme Plot. - Shenghui Jiang; Shiaofen Fang; Shaun J. Grannis (EuroVis (Short Papers), 2016)

Multigraph Visualization for Feature Classification of Brain Network Data. - Jiachen Wang; Shiaofen Fang; Huang Li; Joaquín Goñi; Andrew J. Saykin; Li Shen 001 (EuroVA@EuroVis, 2016)

Spatiotemporal visualization of traffic paths using color space time curve. - Savitha Baskaran; Shiaofen Fang; Shenhui Jiang (IEEE BigData, 2017)

BECA: A Software Tool for Integrated Visualization of Human Brain Data. - Huang Li; Shiaofen Fang; Bob Zigon; Olaf Sporns; Andrew J. Saykin; Joaquín Goñi; Li Shen 001 (BI, 2017)

Online Review Analysis by Visual Feature Selection. - Keerthika Koka; Shiaofen Fang (DASC/PiCom/DataCom/CyberSciTech, 2017)

Brain explorer for connectomic analysis. - Huang Li; Shiaofen Fang; Joey A. Contreras; John D. West; Shannon L. Risacher; Yang Wang; Olaf Sporns; Andrew J. Saykin; Joaquín Goñi; Li Shen 001 (Brain Informatics, 2017)

Interactive Machine Learning by Visualization: A Small Data Solution. - Huang Li; Shiaofen Fang; Snehasis Mukhopadhyay; Andrew J. Saykin; Li Shen 001 (IEEE BigData, 2018)

Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. - Jingwen Yan; Kefei Liu 001; Huang Lv; Enrico Amico; Shannon L. Risacher; Yu-Chien Wu; Shiaofen Fang; Olaf Sporns; Andrew J. Saykin; Joaquín Goñi; Li Shen 001 (ISBI, 2018)

Heritability Estimation of Reliable Connectomic Features. - Linhui Xie; Enrico Amico; Paul Salama; Yu-Chien Wu; Shiaofen Fang; Olaf Sporns; Andrew J. Saykin; Joaquín Goñi; Jingwen Yan; Li Shen 001 (CNI@MICCAI, 2018)

GPU Accelerated Browser for Neuroimaging Genomics. - Bob Zigon; Huang Li; Xiaohui Yao; Shiaofen Fang; Mohammad Al Hasan; Jingwen Yan; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Neuroinformatics, 2018)

Automatic Landmark Placement for Large 3D Facial Image Dataset. - Jerry Wang; Shiaofen Fang; Meie Fang; Jeremy Wilson; Noah Herrick; Susan Walsh (IEEE BigData, 2019)

Text visualisation for feature selection in online review analysis. - Keerthika Koka; Shiaofen Fang (Int. J. Big Data Intell., 2019)

Progressive Iterative Approximation of SOR for Non-uniform Cubic B-spline Curve and Surface Interpolation. - Liangchen Hu; Huahao Shou; Shiaofen Fang (SimuTools (1), 2020)

Brain-wide structural connectivity alterations under the control of Alzheimer risk genes. - Jingwen Yan; V. Vinesh Raja; Zhi Huang; Enrico Amico; Kwangsik Nho; Shiaofen Fang; Olaf Sporns; Yu-Chien Wu; Andrew J. Saykin; Joaquín Goñi; Li Shen 001 (Int. J. Comput. Biol. Drug Des., 2020)

Interactive Visualization of Deep Learning for 3D Brain Data Analysis. - Huang Li; Shiaofen Fang; Joaquín Goñi; Andrew J. Saykin; Li Shen 001 (ICCI*CC, 2021)

An Interactive Approach to Bias Mitigation in Machine Learning. - Hao Wang; Snehasis Mukhopadhyay; Yunyu Xiao; Shiaofen Fang (ICCI*CC, 2021)

Genome-wide variant-based study of genetic effects with the largest neuroanatomic coverage. - Jin Li; Wenjie Liu; Huang Li; Feng Chen; Haoran Luo; Peihua Bao; Yanzhao Li; Hailong Jiang; Yue Gao; Hong Liang; Shiaofen Fang (BMC Bioinform., 2021)

Time-to-event modeling of subreddits transitions to r/SuicideWatch. - Xueying Liu; Shiaofen Fang; George O. Mohler; Joan Carlson; Yunyu Xiao (ICMLA, 2022)

Human Iris Image Analysis for the Classification of Fuchs' Crypts and Peripupillary Rings. - Hao Wang; Shiaofen Fang; Frankie Wilke; Mats Larsson; Susan Walsh (IntelliSys (2), 2022)

Visual Analytics and Exploration of Calcium Transient Imaging Data using Event-Based Clustering. - Shiaofen Fang; Michal Lange; Haoying Fu; Yingying Chen; Yaoying Ma (IEEE Big Data, 2023)

Monitoring Cyber Peer-Led Team Learning: A Multimodal Human-in-the-loop Approach. - Karen D'Souza; Pratibha Varma-Nelson; Shiaofen Fang; Snehasis Mukhopadhyay (HITLAML, 2023)

Classification and Prediction on Cardiovascular disease datasets. - Chu-An Tsai; Haiqi Zhu; Haochen Su; Yuni Xia; Shiaofen Fang (ICCDE, 2023)

Efficient Face Generation and Clustering Using Generative Adversarial Networks. - Aashika Varadharajan; Aishwarya Deshpande; Yuni Xia; Shiaofen Fang (ICCDE, 2023)

Analysis of AI Models for Student Admissions: A Case Study. - Kelly M. Van Busum; Shiaofen Fang (SAC, 2023)

AI-Augmented Peer Led Team Learning for STEM Education. - Karen D'Souza; Lin Zhu; Pratibha Varma-Nelson; Shiaofen Fang; Snehasis Mukhopadhyay (SACI, 2023)

An Exploration into Adaptive Teaching of Discrete Mathematics for Computer Science Undergraduate Students. - Yuni Xia; Shiaofen Fang; Kathy E. Johnson (SIGCSE (2), 2023)

Generating Descriptive Explanations of Machine Learning Models Using LLM. - Andrew Pang; Hyeju Jang; Shiaofen Fang (IEEE Big Data, 2024)

A Subspace Projection Based Technique for Visualizing Machine Learning Models. - Ziqian Bi; Raymond Gao; Shiaofen Fang (VISIGRAPP (1): GRAPP, HUCAPP, IVAPP, 2025)

Generating a Biometrically Unique and Realistic Iris Database. - Jingxuan Zhang; Robert J. Hart; Ziqian Bi; Shiaofen Fang; Susan Walsh (CoRR, 2025)

Bias analysis of AI models for undergraduate student admissions. - Kelly M. Van Busum; Shiaofen Fang (Neural Comput. Appl., 2025)