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ORCIDYuzhou Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j7]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): 3528-3532 (2024)- [j6]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): 2825-2838 (2024) - [c38]Yuzhou Chen, José Frías, Yulia R. Gel:
TopoGCL: Topological Graph Contrastive Learning. AAAI 2024: 11453-11461 - [c37]Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel:
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks. AAAI 2024: 11561-11569 - [c36]Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel:
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. AAAI 2024: 11678-11686 - [c35]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: 238-248 - [c34]Tao Wen, Elynn Chen, Yuzhou Chen:
Tensor-view Topological Graph Neural Network. AISTATS 2024: 4330-4338 - [c33]Yansong Xu, Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Zilong Wang, Gang Wang, Zhican Wang, Haomin Li, Guanghui He:
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. DAC 2024: 24:1-24:6 - [c32]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: 1-5 - [c31]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: 6710-6711 - [c30]Jae Won Choi, Yuzhou Chen, José Frías, Joel Castillo, Yulia R. Gel:
Revisiting Link Prediction with the Dowker Complex. PAKDD (2) 2024: 418-430 - [i20]Tao Wen, Elynn Chen, Yuzhou Chen:
Tensor-view Topological Graph Neural Network. CoRR abs/2401.12007 (2024) - [i19]Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel:
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. CoRR abs/2401.13157 (2024) - [i18]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 abs/2401.13713 (2024) - [i17]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 abs/2403.10913 (2024) - [i16]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 abs/2404.01102 (2024) - [i15]Yuzhou Chen, José Frías, Yulia R. Gel:
TopoGCL: Topological Graph Contrastive Learning. CoRR abs/2406.17251 (2024) - [i14]Naheed Anjum Arafat, Debabrota Basu, Yulia R. Gel, Yuzhou Chen:
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning. CoRR abs/2409.14161 (2024) - 2023
- [j5]Yuzhou Chen, Zhaoya Gong, Qiwei Ma, Ran Tao:
Exploring the spatiotemporal relationships between search flows and travel flows. Trans. GIS 27(5): 1338-1356 (2023) - [j4]Ran Tao, Yuzhou Chen, Jean-Claude Thill:
A space-time flow LISA approach for panel flow data. Comput. Environ. Urban Syst. 106: 102042 (2023) - [c29]Yuzhou Chen, Yulia R. Gel:
Topological Pooling on Graphs. AAAI 2023: 7096-7103 - [c28]Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Yulia R. Gel:
Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract). AAAI 2023: 16386-16387 - [c27]Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Ningyi Xu, Guanghui He:
FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling. DAC 2023: 1-6 - [c26]Yuzhou Chen, Sotiris Batsakis, H. Vincent Poor:
Higher-Order Spatio-Temporal Neural Networks for Covid-19 Forecasting. ICASSP 2023: 1-5 - [c25]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: 1-9 - [c24]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: 5779-5785 - [c23]Yuzhou Chen, Jinming Zhang, Dongxu Lv, Xi Yu, Guanghui He:
O3NMS: An Out-Of-Order-Based Low-Latency Accelerator for Non-Maximum Suppression. ISCAS 2023: 1-5 - [c22]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: 5845-5846 - [c21]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: 24 - [c20]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: 30 - [c19]Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel:
Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning. PAKDD (1) 2023: 123-134 - [c18]Yuzhou Chen, Tian Jiang, Yulia R. Gel:
H2-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting. ECML/PKDD (5) 2023: 271-289 - [i13]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 abs/2303.08933 (2023) - [i12]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, Ignacio Segovia-Dominguez, Nate Veldt, Stephen J. Young:
Seven open problems in applied combinatorics. CoRR abs/2303.11464 (2023) - [i11]Yuzhou Chen, Yulia R. Gel:
Topological Pooling on Graphs. CoRR abs/2303.14543 (2023) - [i10]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 abs/2308.09249 (2023) - 2022
- [j3]Yuzhou Chen, Ran Tao:
A new urban change detection method based on the local G and local spatial heteroscedasticity statistics. Trans. GIS 26(8): 3315-3329 (2022) - [c17]Yuzhou Chen, Yulia R. Gel, H. Vincent Poor:
BScNets: Block Simplicial Complex Neural Networks. AAAI 2022: 6333-6341 - [c16]Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel:
TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. AAAI 2022: 12468-12474 - [c15]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. IEEE Big Data 2022: 784-791 - [c14]Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel:
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. IEEE Big Data 2022: 1793-1800 - [c13]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 - [c12]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 - [c11]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 - [c10]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: 511-525 - [c9]Yuzhou Chen, Elena Sizikova, Yulia R. Gel:
TopoAttn-Nets: Topological Attention in Graph Representation Learning. ECML/PKDD (2) 2022: 309-325 - [i9]Andac Demir, Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel, Bulent Kiziltan:
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. CoRR abs/2211.03808 (2022) - [i8]Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel:
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. CoRR abs/2211.07645 (2022) - [i7]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 abs/2211.09967 (2022) - 2021
- [c8]Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel:
Topological Machine Learning Methods for Power System Responses to Contingencies. AAAI 2021: 15262-15269 - [c7]Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel:
Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning. AAAI 2021: 15278-15285 - [c6]Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel:
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. ICML 2021: 1684-1694 - [c5]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: 3540-3548 - [c4]Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel:
Topological Relational Learning on Graphs. NeurIPS 2021: 27029-27042 - [i6]Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel:
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. CoRR abs/2105.04100 (2021) - [i5]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 abs/2110.10849 (2021) - [i4]Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel:
Topological Relational Learning on Graphs. CoRR abs/2110.15529 (2021) - [i3]Yuzhou Chen, Yulia R. Gel, H. Vincent Poor:
BScNets: Block Simplicial Complex Neural Networks. CoRR abs/2112.06826 (2021) - 2020
- [j2]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): 319-327 (2020) - [c3]Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov:
LFGCN: Levitating over Graphs with Levy Flights. ICDM 2020: 960-965 - [i2]Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov:
LFGCN: Levitating over Graphs with Levy Flights. CoRR abs/2009.02365 (2020)
2010 – 2019
- 2019
- [c2]Yuzhou Chen, Hon Keung Tony Ng:
Deep Learning Ethereum Token Price Prediction with Network Motif Analysis. ICDM Workshops 2019: 232-237 - [i1]Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati:
Snowboot: Bootstrap Methods for Network Inference. CoRR abs/1902.09029 (2019) - 2018
- [j1]Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati:
Snowboot: Bootstrap Methods for Network Inference. R J. 10(2): 95 (2018) - [c1]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: 373-385
Coauthor Index
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