Yuzhou Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 63

Top Topics

Graph Representation

Interactive Visualization

Top Venues

Publications

Ignacio Segovia-Dominguez, Yuzhou Chen, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer
EMP: Effective Multidimensional Persistence for Graph Representation Learning. CoRR (2024)
Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao
Fragile Earth: Generative and Foundational Models for Sustainable Development. KDD (2024)
Yuzhou Chen, José Frías, Yulia R. Gel
TopoGCL: Topological Graph Contrastive Learning. AAAI (2024)
Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. CoRR (2024)
Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks. AAAI (2024)
Yuzhou Chen, Jinming Zhang, Dongxu Lyu, Zhenyu Li, Guanghui He
A Broad-Spectrum and High-Throughput Compression Engine for Neural Network Processors. IEEE Trans. Circuits Syst. II Express Briefs 71 (7) (2024)
Yansong Xu, Dongxu Lyu, Zhenyu Li, Zilong Wang, Yuzhou Chen, Gang Wang, Zhican Wang, Haomin Li, Guanghui He
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. CoRR (2024)
Yuzhou Chen, José Frías, Yulia R. Gel
TopoGCL: Topological Graph Contrastive Learning. CoRR (2024)
Siqi Cai, Yuzhou Chen, Wenhui Zhang, Zeyuan Jin, Gang Wang, Hao Chen, Guanghui He
A High-Throughput Lossless Image Compression Engine Optimized for Compression Ratio. ISCAS (2024)
Jae Won Choi, Yuzhou Chen, José Frías, Joel Castillo, Yulia R. Gel
Revisiting Link Prediction with the Dowker Complex. PAKDD (2) (2024)
Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. AAAI (2024)
Tao Wen, Elynn Chen, Yuzhou Chen
Tensor-view Topological Graph Neural Network. CoRR (2024)
Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Hervé Delingette, Ona Wu
Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation. IEEE Trans. Medical Imaging 43 (8) (2024)
Tao Wen, Elynn Chen, Yuzhou Chen
Tensor-view Topological Graph Neural Network. AISTATS (2024)
Yilin Zhang, Shuo Chen, Rozalina G. Mccoy, Chixiang Chen, Yuzhou Chen
Multi-view k-Nearest Neighbor Graph Contrastive Learning on Multi-modal Biomedical Data. AIME (2) (2024)
Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Herve Delingette, Ona Wu
Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation. CoRR (2024)
Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Ningyi Xu, Guanghui He
FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling. DAC (2023)
Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia R. Gel, Souma Chowdhury
Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction. CoRR (2023)
Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning. PAKDD (1) (2023)
Yuzhou Chen, Tian Jiang, Yulia R. Gel
-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting. ECML/PKDD (5) (2023)
Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia R. Gel, Souma Chowdhury
Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction. ICRA (2023)
Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Yulia R. Gel
Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract). AAAI (2023)
Yuzhou Chen, Yulia R. Gel
Topological Pooling on Graphs. AAAI (2023)
Yuzhou Chen, Sotiris Batsakis, H. Vincent Poor
Higher-Order Spatio-Temporal Neural Networks for Covid-19 Forecasting. ICASSP (2023)
Yuzhou Chen, Zhaoya Gong, Qiwei Ma, Ran Tao
Exploring the spatiotemporal relationships between search flows and travel flows. Trans. GIS 27 (5) (2023)
Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Kangkook Jee, Yulia R. Gel
United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption. LoG (2023)
Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He
SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing. CoRR (2023)
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
Seven open problems in applied combinatorics. CoRR (2023)
Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He
SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing. ICCAD (2023)
Yuzhou Chen, Jinming Zhang, Dongxu Lv, Xi Yu, Guanghui He
NMS: An Out-Of-Order-Based Low-Latency Accelerator for Non-Maximum Suppression. ISCAS (2023)
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
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. KDD (2023)
Yuzhou Chen, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer
EMP: Effective Multidimensional Persistence for Graph Representation Learning. LoG (2023)
Ran Tao, Yuzhou Chen, Jean-Claude Thill
A space-time flow LISA approach for panel flow data. Comput. Environ. Urban Syst. 106 (2023)
Yuzhou Chen, Yulia R. Gel
Topological Pooling on Graphs. CoRR (2023)
Yuzhou Chen, Elena Sizikova, Yulia R. Gel
TopoAttn-Nets: Topological Attention in Graph Representation Learning. ECML/PKDD (2) (2022)
Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel
TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. AAAI (2022)
Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho
Learning on Health Fairness and Environmental Justice via Interactive Visualization. Big Data (2022)
Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
BScNets: Block Simplicial Complex Neural Networks. AAAI (2022)
Yuzhou Chen, Ran Tao
A new urban change detection method based on the local G and local spatial heteroscedasticity statistics. Trans. GIS 26 (8) (2022)
Andac Demir, Baris Coskunuzer, Yulia R. Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. NeurIPS (2022)
Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. Big Data (2022)
Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, Yulia R. Gel
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting. ICLR (2022)
Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. CoRR (2022)
Zhiwei Zhen, Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning. PAKDD (2) (2022)
Andac Demir, Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel, Bulent Kiziltan
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. CoRR (2022)
Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting. NeurIPS (2022)
Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho
Learning on Health Fairness and Environmental Justice via Interactive Visualization. CoRR (2022)
Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. CoRR (2021)
Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
BScNets: Block Simplicial Complex Neural Networks. CoRR (2021)
Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel
Topological Relational Learning on Graphs. NeurIPS (2021)
Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel
Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning. KDD (2021)
Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel
Topological Machine Learning Methods for Power System Responses to Contingencies. AAAI (2021)
Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel
Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning. AAAI (2021)
Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel
Topological Relational Learning on Graphs. CoRR (2021)
Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen, Yuzhou Chen, Michael J. Garay, Daniel J. Crichton, Rishabh Wagh, Yulia R. Gel
Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity. CoRR (2021)
Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. ICML (2021)
Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov
LFGCN: Levitating over Graphs with Levy Flights. CoRR (2020)
Ran Tao, Joni Downs, Theresa M. Beckie, Yuzhou Chen, Warren McNelley
Examining spatial accessibility to COVID-19 testing sites in Florida. Ann. GIS 26 (4) (2020)
Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov
LFGCN: Levitating over Graphs with Levy Flights. ICDM (2020)
Yuzhou Chen, Hon Keung Tony Ng
Deep Learning Ethereum Token Price Prediction with Network Motif Analysis. ICDM Workshops (2019)
Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati
Snowboot: Bootstrap Methods for Network Inference. CoRR (2019)
Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship
Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking. PAKDD (1) (2018)
Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati
Snowboot: Bootstrap Methods for Network Inference. R J. 10 (2) (2018)