Yuzhou Chen

According to our database, Yuzhou Chen authored at least 43 papers between 2018 and 2024.

Collaborative distances:

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

2024

DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing.

Yansong Xu, Dongxu Lyu, Zhenyu Li, Zilong Wang, Yuzhou Chen, Gang Wang, Zhican Wang, Haomin Li, Guanghui He

CoRR, 2024

EMP: Effective Multidimensional Persistence for Graph Representation Learning.

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

CoRR, 2024

Revisiting Link Prediction with the Dowker Complex.

Jae Won Choi, Yuzhou Chen, José Frías, Joel Castillo, Yulia R. Gel

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Tensor-view Topological Graph Neural Network.

Tao Wen, Elynn Chen, Yuzhou Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence.

Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks.

Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TopoGCL: Topological Graph Contrastive Learning.

Yuzhou Chen, José Frías, Yulia R. Gel

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A space-time flow LISA approach for panel flow data.

Ran Tao, Yuzhou Chen, Jean-Claude Thill

Comput. Environ. Urban Syst., December, 2023

Exploring the spatiotemporal relationships between search flows and travel flows.

Yuzhou Chen, Zhaoya Gong, Qiwei Ma, Ran Tao

Trans. GIS, August, 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

CoRR, 2023

H²-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting.

Yuzhou Chen, Tian Jiang, Yulia R. Gel

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning.

Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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 Gel, Baris Coskunuzer

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

O³NMS: An Out-Of-Order-Based Low-Latency Accelerator for Non-Maximum Suppression.

Yuzhou Chen, Jinming Zhang, Dongxu Lv, Xi Yu, Guanghui He

Proceedings of the IEEE International Symposium on Circuits and Systems, 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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing.

Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Higher-Order Spatio-Temporal Neural Networks for Covid-19 Forecasting.

Yuzhou Chen, Sotiris Batsakis, H. Vincent Poor

Proceedings of the IEEE International Conference on Acoustics, 2023

FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling.

Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Ningyi Xu, Guanghui He

Proceedings of the 60th ACM/IEEE Design Automation Conference, 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

Topological Pooling on Graphs.

Yuzhou Chen, Yulia R. Gel

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

2022

A new urban change detection method based on the local G and local spatial heteroscedasticity statistics.

Yuzhou Chen, Ran Tao

Trans. GIS, 2022

TopoAttn-Nets: Topological Attention in Graph Representation Learning.

Yuzhou Chen, Elena Sizikova, Yulia R. Gel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery.

Andac Demir, Baris Coskunuzer, Yulia R. Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Tenth International Conference on Learning Representations, 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

Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets.

Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel

Proceedings of the IEEE International Conference on Big Data, 2022

TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning.

Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

BScNets: Block Simplicial Complex Neural Networks.

Yuzhou Chen, Yulia R. Gel, H. Vincent Poor

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 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

Topological Relational Learning on Graphs.

Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting.

Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel

Proceedings of the 38th International Conference on Machine Learning, 2021

Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning.

Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Topological Machine Learning Methods for Power System Responses to Contingencies.

Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Examining spatial accessibility to COVID-19 testing sites in Florida.

Ran Tao, Joni Downs, Theresa M. Beckie, Yuzhou Chen, Warren McNelley

Ann. GIS, 2020

LFGCN: Levitating over Graphs with Levy Flights.

Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Deep Learning Ethereum Token Price Prediction with Network Motif Analysis.

Yuzhou Chen, Hon Keung Tony Ng

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Snowboot: Bootstrap Methods for Network Inference.

Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati

R J., 2018

Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking.

Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018