Yuzhou Chen
Orcid: 0000-0001-7945-7940
According to our database1,
Yuzhou Chen
authored at least 47 papers
between 2018 and 2024.
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Bibliography
2024
Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation.
IEEE Trans. Medical Imaging, August, 2024
A Broad-Spectrum and High-Throughput Compression Engine for Neural Network Processors.
IEEE Trans. Circuits Syst. II Express Briefs, July, 2024
Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation.
CoRR, 2024
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing.
CoRR, 2024
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Multi-view k-Nearest Neighbor Graph Contrastive Learning on Multi-modal Biomedical Data.
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Comput. Environ. Urban Syst., December, 2023
Trans. GIS, August, 2023
H<sup>2</sup>-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning.
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.
Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
O<sup>3</sup>NMS: An Out-Of-Order-Based Low-Latency Accelerator for Non-Maximum Suppression.
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.
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.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
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.
Trans. GIS, 2022
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.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
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.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets.
Proceedings of the IEEE International Conference on Big Data, 2022
TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
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.
CoRR, 2021
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.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
2018
Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018