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ORCIDYuzhou Chen
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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 - [i24]Tao Wen, Elynn Chen, Yuzhou Chen:
Tensor-view Topological Graph Neural Network. CoRR abs/2401.12007 (2024) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]Yuzhou Chen, José Frías, Yulia R. Gel:
TopoGCL: Topological Graph Contrastive Learning. CoRR abs/2406.17251 (2024) - [i18]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) - [i17]Yifan Wu, Yuzhou Chen, Zhengying Zhu, Xuhao Qin, Chenxi Xiao:
HumanFT: A Human-like Fingertip Multimodal Visuo-Tactile Sensor. CoRR abs/2410.10353 (2024) - [i16]Yujia Wu, Bo Yang, Elynn Chen, Yuzhou Chen, Zheshi Zheng:
Conditional Prediction ROC Bands for Graph Classification. CoRR abs/2410.15239 (2024) - [i15]Yujia Wu, Bo Yang, Yang Zhao, Elynn Chen, Yuzhou Chen, Zheshi Zheng:
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks. CoRR abs/2410.15241 (2024) - [i14]Yujia Wu, Junyi Mo, Elynn Chen, Yuzhou Chen:
Tensor-Fused Multi-View Graph Contrastive Learning. CoRR abs/2410.15247 (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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last updated on 2024-11-26 20:41 CET by the dblp team
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