| 2026 | WWW | Multi-Modal Enhanced Graph Transfer Learning for Digital Finance Fraud Detection. | Yuxin Liu, Stephen Chan, Jeffrey Chu, Yuanyuan Zhang, Chenguang Yang, Zihao Wang, Yulia R. Gel, Yuzhou Chen |
| 2025 | ICASSP | 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 P. Tribby, Tarik Benmarhnia, Marta M. Jankowska, Yulia R. Gel |
| 2025 | ICASSP | Topology-Informed Pre-training of Graph Neural Networks. | Peiyu Liang, Yulia R. Gel, Yuzhou Chen |
| 2025 | ICLR | Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs. | Yuzhou Chen, Yulia R. Gel |
| 2025 | WWW | Few-shot Learning over Graphs Using Topological Prompts. | Jaidev Goel, Yuzhou Chen, Yulia R. Gel |
| 2024 | AAAI | TopoGCL: Topological Graph Contrastive Learning. | Yuzhou Chen, Jos Fras, Yulia R. Gel |
| 2024 | AAAI | SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks. | Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel |
| 2024 | AAAI | Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. | Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel |
| 2024 | KDD | 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 |
| 2024 | PAKDD | Revisiting Link Prediction with the Dowker Complex. | Jae Won Choi, Yuzhou Chen, Jos Fras, Joel Chacn Castillo, Yulia R. Gel |
| 2023 | AAAI | Topological Pooling on Graphs. | Yuzhou Chen, Yulia R. Gel |
| 2023 | AAAI | Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract). | Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Yulia R. Gel |
| 2023 | ICRA | 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 |
| 2023 | KDD | 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 |
| 2023 | PAKDD | Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning. | Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel |
| 2022 | AAAI | BScNets: Block Simplicial Complex Neural Networks. | Yuzhou Chen, Yulia R. Gel, H. Vincent Poor |
| 2022 | AAAI | TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. | Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel |
| 2022 | AAAI | 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 |
| 2022 | ICLR | 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 |
| 2022 | PAKDD | 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 |
| 2021 | AAAI | Topological Machine Learning Methods for Power System Responses to Contingencies. | Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel |
| 2021 | AAAI | Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning. | Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel |
| 2021 | AAAI | Defending against Backdoors in Federated Learning with Robust Learning Rate. | Mustafa Safa zdayi, Murat Kantarcioglu, Yulia R. Gel |
| 2021 | ICML | Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. | Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel |
| 2021 | KDD | Data Science on Blockchains. | Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel |
| 2021 | KDD | 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 |
| 2021 | KDD | Alphacore: Data Depth based Core Decomposition. | Friedhelm Victor, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu |
| 2021 | PAKDD | 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 |
| 2020 | ICDM | LFGCN: Levitating over Graphs with Levy Flights. | Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov |
| 2020 | IJCAI | BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain. | Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu |
| 2020 | SDM | 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 |
| 2019 | ICDM | 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 |
| 2018 | ICDM | Blockchain Data Analytics. | Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel |
| 2018 | ISI | Attacklets: Modeling High Dimensionality in Real World Cyberattacks. | Cuneyt Gurcan Akcora, Jonathan Z. Bakdash, Yulia R. Gel, Murat Kantarcioglu, Laura R. Marusich, Bhavani Thuraisingham |
| 2018 | PAKDD | Forecasting Bitcoin Price with Graph Chainlets. | Cuneyt Gurcan Akcora, Asim Kumer Dey, Yulia R. Gel, Murat Kantarcioglu |
| 2018 | PAKDD | Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking. | Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship |
| 2017 | ICDM | CRAD: Clustering with Robust Autocuts and Depth. | Xin Huang, Yulia R. Gel |
| 2016 | BigData | 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 |