TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions. - Ignacio Segovia-Dominguez; Zhiwei Zhen; Rishabh Wagh; Huikyo Lee; Yulia R. Gel (PAKDD (1), 2021)

Smart Vectorizations for Single and Multiparameter Persistence. - Baris Coskunuzer; Cuneyt Gurcan Akcora; Ignacio Segovia-Dominguez; Zhiwei Zhen; Murat Kantarcioglu; Yulia R. Gel (CoRR, 2021)

Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity. - Ignacio Segovia-Dominguez; Huikyo Lee; Zhiwei Zhen; Yuzhou Chen; Michael J. Garay; Daniel J. Crichton; Rishabh Wagh; Yulia R. Gel (CoRR, 2021)

Learning on Health Fairness and Environmental Justice via Interactive Visualization. - Abdullah al-Raihan Nayeem; Ignacio Segovia-Dominguez; Huikyo Lee; Dongyun Han; Yuzhou Chen; Zhiwei Zhen; Yulia R. Gel; Isaac Cho (IEEE Big Data, 2022)

Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning. - Zhiwei Zhen; Yuzhou Chen; Ignacio Segovia-Dominguez; Yulia R. Gel (PAKDD (2), 2022)

Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract). - Zhiwei Zhen; Yuzhou Chen; Murat Kantarcioglu; Yulia R. Gel (AAAI, 2023)

EMP: Effective Multidimensional Persistence for Graph Representation Learning. - Yuzhou Chen; Ignacio Segovia-Dominguez; Cuneyt Gurcan Akcora; Zhiwei Zhen; Murat Kantarcioglu; Yulia R. Gel; Baris Coskunuzer (LoG, 2023)

United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption. - Zhiwei Zhen; Yuzhou Chen; Murat Kantarcioglu; Kangkook Jee; Yulia R. Gel (LoG, 2023)

Fire-D: Analysis and ML-Ready NASA-Centric Remote Sensing of Wildfire and Smoke. - Yuzhou Chen; Nicholas LaHaye; Jae Won Choi; Zhiwei Zhen; Philip E. Davis; Huikyo Lee; Manish Parashar; Yulia R. Gel (Zenodo, 2024)