TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction
Hao Li, Hao Wan, Yuzhou Chen, Dongsheng Ye, Yulia R. Gel, Hao Jiang
In Proceedings of the International Conference on Machine Learning 2025
Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs
Yuzhou Chen, Yulia R. Gel
In Proceedings of the International Conference on Learning Representations 2025
Few-shot Learning over Graphs Using Topological Prompts
Jaidev Goel, Yuzhou Chen, Yulia R. Gel
In Proceedings of the ACM Web Conference 2025
Conditional Prediction ROC Bands for Graph Classification
Yujia Wu, Bo Yang, Elynn Chen, Yuzhou Chen, Zheshi Zhen
In Proceedings of the International Conference on Artificial Intelligence and Statistics 2025
Topology-Informed Pre-training of Graph Neural Networks
Peiyu Liang, Yulia R. Gel, Yuzhou Chen
In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing 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 Lee, Calvin Tribby, Tarik Benmarhnia, Marta Jankowska, Yulia R. Gel
In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing 2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Naheed Anjum Arafat, Debabrota Basu, Yulia R. Gel, Yuzhou Chen
In Proceedings of the AAAI Conference on Artificial Intelligence 2025
Firecast Zigzag Convolutional Network for Wildfire Prediction
Yuzhou Chen, Joel Castillo, Hugo K. Lee, Yulia R. Gel
In IEEE International Conference on Big Data 2024
Multi-view K-Nearest Neighbor Graph Contrastive Learning on Multi-modal Biomedical Data
Yilin Zhang, Shuo Chen, Rozalina G. Mccoy, Chixiang Chen, Yuzhou Chen
In Proceedings of the International Conference on Artificial Intelligence in Medicine 2024
Revisiting Link Prediction with the Dowker Complex
Jae Won Choi, Yuzhou Chen, Jose Frias, Joel Castillo, Yulia R. Gel
In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining 2024
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks
Jae Choi, Yuzhou Chen, Hugo K. Lee, Hyun Kim, and Yulia R. Gel
In Proceedings of the AAAI Conference on Artificial Intelligence 2024
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel
In Proceedings of the AAAI Conference on Artificial Intelligence 2024
Tensor-view Topological Graph Neural Network
Tao Wen, Elynn Chen, Yuzhou Chen
In Proceedings of the International Conference on Artificial Intelligence and Statistics 2024
Learning Power System Vulnerabilities through Multi-View Topological Neural Networks
Yuzhou Chen, Shengyi Wang, Liang Du
IEEE Power & Energy Society General Meeting 2024
TopoGCL: Topological Graph Contrastive Learning
Yuzhou Chen, Jose Frias, Yulia R. Gel
In Proceedings of the AAAI Conference on Artificial Intelligence 2024
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, Yulia R. Gel, Kangkook Jee
In Proceedings of the Learning on Graphs Conference 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
In Proceedings of the Learning on Graphs Conference 2023
H^2-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting
Yuzhou Chen, Tian Jiang, Yulia R. Gel
In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023
Modeling and Classification of EV Charging Profiles Utilizing Topological Data Analysis
Zhenyu Zhao, Yuzhou Chen, Liang Du
IEEE Transportation Electrification Conference & Expo 2023
Higher-Order Spatio-Temporal Neural Networks for Covid-19 Forecasting
Yuzhou Chen, Sotiris Batsakis, H. Vincent Poor
IEEE International Conference on Acoustics, Speech and Signal 2023
AP-GNN: Unsupervised Adaptive Distribution Grid-Level Representation Learning
Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
IEEE PowerTech 2023
Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning
Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining 2023
Topological Pooling on Graphs
Yuzhou Chen, Yulia R. Gel
In Proceedings of the AAAI Conference on Artificial Intelligence 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
In Proceedings of the International Conference on Robotics and Automation 2023
Learning on Health Fairness and Environmental Justice via Interactive Visualization
Abdullah-Al-Raihan Nayeem, Ignacio Segovia-Dominguez, Hugo K. Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho
In Proceedings of the IEEE International Conference on Big Data 2022
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets
Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
In Proceedings of the IEEE International Conference on 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
In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining 2022
TAMP-S2GCNets: When Time-Aware Multipersistence Meets Spatio-Supra Graph Convolutional Nets while Forecasting Time Series
Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, Yulia R. Gel
In Proceedings of the International Conference on Learning Representations 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
Advances in Neural Information Processing Systems 2022
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery
Andac Demir, Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel, Bulent Kiziltan
Advances in Neural Information Processing Systems 2022
TopoAttn-Nets: Topological Attention in Graph Representation Learning
Yuzhou Chen, Elena Sizikova, Yulia R. Gel
In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022
TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning
Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel
In Proceedings of the Innovative Applications of Artificial Intelligence Conference 2022
BScNets: Block Simplicial Complex Neural Networks
Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
In Proceedings of the AAAI Conference on Artificial Intelligence 2022
Topological Relational Learning on Graphs
Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel
Advances in Neural Information Processing Systems 2021
Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning
Ignacio Segovia Dominguez, Hugo K. Lee, Yuzhou Chen, Michael Garay, Krzysztof M Gorski, Yulia R. Gel
In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery & Data Mining 2021
Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning
Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel
In Proceedings of the Innovative Applications of Artificial Intelligence Conference 2021
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
In Proceedings of the International Conference on Machine Learning 2021
Topological machine learning methods for power system responses to contingencies
Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel
In Proceedings of the Innovative Applications of Artificial Intelligence Conference 2021
LFGCN: Levitating over Graphs with Levy Flights
Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov
In Proceedings of the IEEE International Conference on Data Mining 2020
Deep ensemble classifiers and peer effects analysis for churn forecasting in retail banking
Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship
In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining 2018
Understanding Power Grid Network Vulnerability through the Stochastic Lens of Network Motif Evolution
Yuzhou Chen, Hon Keung Tony Ng, Yulia R. Gel, H. Vincent Poor
Journal of the Royal Statistical Society, Series C 2024
Topological K-Means Clustering in Reproducing Kernel Hilbert Spaces
Matthew Dixon, Yulia R. Gel, Yuzhou Chen
Electronic Journal of Statistics 2024
Mutual Information Guided Diffusion for Zero-shot Cross-modality Medical Image Translation
Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Hervé Delingette, Ona Wu
IEEE Transactions on Medical Imaging 2024
Statistical Models and Algorithms for Assessing Robustness and Reliability of Networks with Applications in Cybersecurity Insurance
Yuzhou Chen, Hon Keung Tony Ng
Variance 2024
Environmental Justice and Lessons Learned from COVID-19 Outcomes–Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data
Zhiwei Zhen, Huikyo Lee, Ignacio Segovia-Dominguez, Meichen Huang, Yuzhou Chen, Michael Garay, Daniel Crichton, Yulia R. Gel
Artificial Intelligence for the Earth Systems 2024
Learning Power Grid Outages with Higher-Order Topological Neural Networks
Yuzhou Chen, Roshni Anna Jacob, Yulia R. Gel, Jie Zhang, H. Vincent Poor
IEEE Transactions on Power Systems 2023
Seven Open Problems in Applied Combinatorics
Sinan G Aksoy, Ryan Bennink, Yuzhou Chen, José Frías, Yulia R. Gel, Bill Kay, Uwe Naumann, Carlos Ortiz Marrero, Anthony V Petyuk, Sandip Roy, Ignacio Segovia-Dominguez, Nate Veldt, Stephen J Young
Journal of Combinatorics 2023
Self-Supervised Contrastive Learning for Wildfire Detection: Utility and Limitations
Jae Won Choi, Nick LaHaye, Yuzhou Chen, Hugo K. Lee, Yulia R. Gel
Advances in Machine Learning and Image Analysis for GeoAI 2024