Robust directed tests of normality against heavy-tailed alternatives. - Yulia R. Gel; Weiwen Miao; Joseph L. Gastwirth (Comput. Stat. Data Anal., 2007)

Test of fit for a Laplace distribution against heavier tailed alternatives. - Yulia R. Gel (Comput. Stat. Data Anal., 2010)

Autoregressive frequency detection using Regularized Least Squares. - Bei Chen; Yulia R. Gel (J. Multivar. Anal., 2010)

A new surveillance and spatio-temporal visualization tool SIMID: SIMulation of Infectious Diseases using random networks and GIS. - Lilia L. Ramírez-Ramírez; Yulia R. Gel; Mary Thompson; Eileen de Villa; Matt McPherson (Comput. Methods Programs Biomed., 2013)

Catching Social Butterflies: Identifying Influential Users of an Event-Based Social Networking Service. - Jonathan Popa; Kusha Nezafati; Yulia R. Gel; John Zweck; Georgiy V. Bobashev (BigData Congress, 2016)

A distribution-free m-out-of-n bootstrap approach to testing symmetry about an unknown median. - Vyacheslav Lyubchich; Xingyu Wang; Andrew Heyes; Yulia R. Gel (Comput. Stat. Data Anal., 2016)

A local factor nonparametric test for trend synchronism in multiple time series. - Vyacheslav Lyubchich; Yulia R. Gel (J. Multivar. Anal., 2016)

Estimation of river and stream temperature trends under haphazard sampling. - Brian R. Gray; Vyacheslav Lyubchich; Yulia R. Gel; James T. Rogala; Dale M. Robertson; Xiaoqiao Wei (Stat. Methods Appl., 2016)

Intentional islanding of power grids with data depth. - Asim Kumer Dey; Yulia R. Gel; H. Vincent Poor (CAMSAP, 2017)

Motif-based analysis of power grid robustness under attacks. - Asim Kumer Dey; Yulia R. Gel; H. Vincent Poor (GlobalSIP, 2017)

CRAD: Clustering with Robust Autocuts and Depth. - Xin Huang; Yulia R. Gel (ICDM, 2017)

Blockchain: A Graph Primer. - Cuneyt Gurcan Akcora; Yulia R. Gel; Murat Kantarcioglu (CoRR, 2017)

Role of Local Geometry in Robustness of Power Grid Networks. - Umar Islambekov; Asim Kumer Dey; Yulia R. Gel; H. Vincent Poor (GlobalSIP, 2018)

Blockchain Data Analytics. - Cuneyt Gurcan Akcora; Murat Kantarcioglu; Yulia R. Gel (ICDM, 2018)

Attacklets: Modeling High Dimensionality in Real World Cyberattacks. - Cuneyt Gurcan Akcora; Jonathan Z. Bakdash; Yulia R. Gel; Murat Kantarcioglu; Laura R. Marusich; Bhavani Thuraisingham (ISI, 2018)

Forecasting Bitcoin Price with Graph Chainlets. - Cuneyt Gurcan Akcora; Asim Kumer Dey; Yulia R. Gel; Murat Kantarcioglu (PAKDD (3), 2018)

Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking. - Yuzhou Chen; Yulia R. Gel; Vyacheslav Lyubchich; Todd Winship (PAKDD (1), 2018)

Snowboot: Bootstrap Methods for Network Inference. - Yuzhou Chen; Yulia R. Gel; Vyacheslav Lyubchich; Kusha Nezafati (R J., 2018)

Assessing the Resilience of the Texas Power Grid Network. - Dorcas Ofori-Boateng; Asim Kumer Dey; Yulia R. Gel; Binghui Li; Jie Zhang 054; H. Vincent Poor (DSW, 2019)

Deep Learning for Improved Agricultural Risk Management. - Nathaniel K. Newlands; Azar Ghahari; Yulia R. Gel; Vyacheslav Lyubchich; Tahir Mahdi (HICSS, 2019)

ChainNet: Learning on Blockchain Graphs with Topological Features. - Nazmiye Ceren Abay; Cuneyt Gurcan Akcora; Yulia R. Gel; Murat Kantarcioglu; Umar D. Islambekov; Yahui Tian; Bhavani Thuraisingham (ICDM, 2019)

BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain. - Cuneyt Gurcan Akcora; Yitao Li; Yulia R. Gel; Murat Kantarcioglu (CoRR, 2019)

Unsupervised Space-Time Clustering using Persistent Homology. - Umar Islambekov; Yulia R. Gel (CoRR, 2019)

Harnessing the power of Topological Data Analysis to detect change points in time series. - Umar Islambekov; Monisha Yuvaraj; Yulia R. Gel (CoRR, 2019)

Fusing data depth with complex networks: Community detection with prior information. - Yahui Tian; Yulia R. Gel (Comput. Stat. Data Anal., 2019)

LFGCN: Levitating over Graphs with Levy Flights. - Yuzhou Chen; Yulia R. Gel; Konstantin Avrachenkov (ICDM, 2020)

BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain. - Cuneyt Gurcan Akcora; Yitao Li; Yulia R. Gel; Murat Kantarcioglu (IJCAI, 2020)

Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of the Ethereum Graph? - Yitao Li; Umar Islambekov; Cuneyt Gurcan Akcora; Ekaterina Smirnova; Yulia R. Gel; Murat Kantarcioglu (SDM, 2020)

A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico. - Annalisa Appice; Yulia R. Gel; Iliyan Iliev; Vyacheslav Lyubchich; Donato Malerba (IEEE Access, 2020)

How to Not Get Caught When You Launder Money on Blockchain? - Cuneyt Gurcan Akcora; Sudhanva Purusotham; Yulia R. Gel; Mitchell Krawiec-Thayer; Murat Kantarcioglu (CoRR, 2020)

Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity. - Georgiy V. Bobashev; Ignacio Segovia-Dominguez; Yulia R. Gel; James Rineer; Sarah Rhea; Hui Sui (ACM SIGSPATIAL Special, 2020)

Topological Machine Learning Methods for Power System Responses to Contingencies. - Brian Bush; Yuzhou Chen; Dorcas Ofori-Boateng; Yulia R. Gel (AAAI, 2021)

Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning. - Yuzhou Chen; Yuliya Marchetti; Yulia R. Gel (AAAI, 2021)

Defending against Backdoors in Federated Learning with Robust Learning Rate. - Mustafa Safa Özdayi; Murat Kantarcioglu; Yulia R. Gel (AAAI, 2021)

Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. - Yuzhou Chen; Ignacio Segovia-Dominguez; Yulia R. Gel (ICML, 2021)

Data Science on Blockchains. - Cuneyt Gurcan Akcora; Murat Kantarcioglu; Yulia R. Gel (KDD, 2021)

Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning. - Ignacio Segovia-Dominguez; Huikyo Lee; Yuzhou Chen; Michael J. Garay; Krzysztof M. Gorski; Yulia R. Gel (KDD, 2021)

Alphacore: Data Depth based Core Decomposition. - Friedhelm Victor; Cuneyt Gurcan Akcora; Yulia R. Gel; Murat Kantarcioglu (KDD, 2021)

Topological Relational Learning on Graphs. - Yuzhou Chen; Baris Coskunuzer; Yulia R. Gel (NeurIPS, 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 (PAKDD (1), 2021)

Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks. - Dorcas Ofori-Boateng; Ignacio Segovia-Dominguez; Cuneyt Gurcan Akcora; Murat Kantarcioglu; Yulia R. Gel (ECML/PKDD (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)

Nonparametric Anomaly Detection on Time Series of Graphs. - Dorcas Ofori-Boateng; Yulia R. Gel; Ivor Cribben (J. Comput. Graph. Stat., 2021)

Depth-based classification for relational data with multiple attributes. - Xu Zhang; Yahui Tian; Guoyu Guan; Yulia R. Gel (J. Multivar. Anal., 2021)

GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks. - Cuneyt Gurcan Akcora; Yulia R. Gel; Murat Kantarcioglu; Vyacheslav Lyubchich; Bhavani Thuraisingham (IEEE Trans. Knowl. Data Eng., 2021)

BScNets: Block Simplicial Complex Neural Networks. - Yuzhou Chen; Yulia R. Gel; H. Vincent Poor (AAAI, 2022)

TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. - Yuzhou Chen; Yuliya Marchetti; Elena Sizikova; Yulia R. Gel (AAAI, 2022)

Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance. - Tian Jiang; Meichen Huang; Ignacio Segovia-Dominguez; Nathaniel K. Newlands; Yulia R. Gel (AAAI, 2022)

Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. - Yuzhou Chen; Tian Jiang; Miguel Heleno; Alexandre Moreira; Yulia R. Gel (IEEE Big Data, 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 (IEEE Big Data, 2022)

TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting. - Yuzhou Chen; Ignacio Segovia-Dominguez; Baris Coskunuzer; Yulia R. Gel (ICLR, 2022)

Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT. - Cuneyt Gurcan Akcora; Murat Kantarcioglu; Yulia R. Gel; Baris Coskunuzer (NeurIPS, 2022)

Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting. - Yuzhou Chen; Yulia R. Gel; H. Vincent Poor (NeurIPS, 2022)

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. - Andac Demir; Baris Coskunuzer; Yulia R. Gel; Ignacio Segovia-Dominguez; Yuzhou Chen; Bulent Kiziltan (NeurIPS, 2022)

Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains. - Kiarash Shamsi; Friedhelm Victor; Murat Kantarcioglu; Yulia R. Gel; Cuneyt Gurcan Akcora (NeurIPS, 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)

TopoAttn-Nets: Topological Attention in Graph Representation Learning. - Yuzhou Chen; Elena Sizikova; Yulia R. Gel (ECML/PKDD (2), 2022)

Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota. - Cuneyt Gurcan Akcora; Yulia R. Gel; Murat Kantarcioglu (WIREs Data Mining Knowl. Discov., 2022)

Topological Pooling on Graphs. - Yuzhou Chen; Yulia R. Gel (AAAI, 2023)

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

Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction. - Steve Paul; Wenyuan Li; Brian Smyth; Yuzhou Chen; Yulia R. Gel; Souma Chowdhury (ICRA, 2023)

Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. - Naoki Abe; Kathleen Buckingham; Yuzhou Chen; Bistra Dilkina; Emre Eftelioglu; Auroop R. Ganguly; Yulia R. Gel; James Hodson; Ramakrishnan Kannan; Huikyo Lee; Jiafu Mao; Rose Yu (KDD, 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)

Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning. - Yuzhou Chen; Miguel Heleno; Alexandre Moreira; Yulia R. Gel (PAKDD (1), 2023)

H2-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting. - Yuzhou Chen; Tian Jiang; Yulia R. Gel (ECML/PKDD (5), 2023)

Seven open problems in applied combinatorics. - Sinan G. Aksoy; Ryan S. Bennink; Yuzhou Chen; José Frías; Yulia R. Gel; Bill Kay; Uwe Naumann; Carlos Ortiz Marrero; Anthony V. Petyuk; Sandip Roy 002; Ignacio Segovia-Dominguez; Nate Veldt; et al. (CoRR, 2023)

TopoGCL: Topological Graph Contrastive Learning. - Yuzhou Chen; José Frías; Yulia R. Gel (AAAI, 2024)

SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks. - Jae Choi; Yuzhou Chen; Huikyo Lee; Hyun Kim; Yulia R. Gel (AAAI, 2024)

Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. - Baris Coskunuzer; Ignacio Segovia-Dominguez; Yuzhou Chen; Yulia R. Gel (AAAI, 2024)

Firecast Zigzag Convolutional Network for Wildfire Prediction. - Yuzhou Chen; Joel Chacón Castillo; Huikyo Lee; Yulia R. Gel (IEEE Big Data, 2024)

Fragile Earth: Generative and Foundational Models for Sustainable Development. - Emre Eftelioglu; Bistra Dilkina; Naoki Abe; Ramakrishnan Kannan; Yuzhou Chen; Yulia R. Gel; Kathleen Buckingham; Auroop R. Ganguly; James Hodson; Jiafu Mao (KDD, 2024)

Revisiting Link Prediction with the Dowker Complex. - Jae Won Choi; Yuzhou Chen; José Frías; Joel Chacón Castillo; Yulia R. Gel (PAKDD (2), 2024)

Graphical Model-Based Lasso for Weakly Dependent Time Series of Tensors. - Dorcas Ofori-Boateng; Jaidev Goel; Ivor Cribben; Yulia R. Gel (ECML/PKDD (5), 2024)

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)

When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning. - Naheed Anjum Arafat; Debabrota Basu; Yulia R. Gel; Yuzhou Chen (AAAI, 2025)

Fusing Multimodality of Large Language Models and Satellite Imagery via Simplicial Contrastive Learning for Latent Urban Feature Identification and Environmental Application. - Yuzhou Chen; Jiue-An Yang; Hugo Kyo Lee; Calvin Tribby; Tarik Benmarhnia; Marta M. Jankowska; Yulia R. Gel (ICASSP, 2025)

Topology-Informed Pre-training of Graph Neural Networks. - Peiyu Liang; Yulia R. Gel; Yuzhou Chen (ICASSP, 2025)

Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs. - Yuzhou Chen; Yulia R. Gel (ICLR, 2025)

Few-shot Learning over Graphs Using Topological Prompts. - Jaidev Goel; Yuzhou Chen; Yulia R. Gel (WWW (Companion Volume), 2025)