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Hongzhi Wang

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Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning

Dec 09, 2023
Chen Liang, Donghua Yang, Zhiyu Liang, Hongzhi Wang, Zheng Liang, Xiyang Zhang, Jianfeng Huang

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Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity

Nov 21, 2023
Ken C. L. Wong, Levente Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer Syeda-Mahmood

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FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator

Oct 05, 2023
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood

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HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation

Oct 05, 2023
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood

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Duet: efficient and scalable hybriD neUral rElation undersTanding

Jul 28, 2023
Kaixin Zhang, Hongzhi Wang, Yabin Lu, Ziqi Li, Chang Shu, Yu Yan, Donghua Yang

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MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction

Jul 13, 2023
Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodriguez, Kristen L. Beck, Orest Boyko, Tanveer Syeda-Mahmood

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Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning

Jun 02, 2023
Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan

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TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification

Apr 11, 2023
Huaiyuan Liu, Xianzhang Liu, Donghua Yang, Zhiyu Liang, Hongzhi Wang, Yong Cui, Jun Gu

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UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning

Mar 24, 2023
Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang

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FedST: Privacy Preserving Federated Shapelet Transformation for Interpretable Time Series Classification

Mar 02, 2023
Zhiyu Liang, Hongzhi Wang

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