Zhiwei Zhen

According to our database, Zhiwei Zhen authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 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

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract).

Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Yulia R. Gel

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

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

Proceedings of the IEEE International Conference on Big Data, 2022

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

Smart Vectorizations for Single and Multiparameter Persistence.

Baris Coskunuzer, Cuneyt Gurcan Akcora, Ignacio Segovia-Dominguez, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel

CoRR, 2021

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021