4 citations · 15 across the 19 of their papers we have counts for
15 papers
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
Zhiyu Liang, Chen Liang, Zheng Liang +2
Unsupervised (a.k.a. Self-supervised) representation learning (URL) has emerged as a new paradigm for time series analysis, because it has the ability to learn generalizable time s…
HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
With the introduction of Transformers, different attention-based models have been proposed for image segmentation with promising results. Although self-attention allows capturing o…
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
Due to the computational complexity of 3D medical image segmentation, training with downsampled images is a common remedy for out-of-memory errors in deep learning. Nevertheless, a…
QCFE: An efficient Feature engineering for query cost estimation
Yu Yan, Hongzhi Wang, Junfang Huang +5
Query cost estimation is a classical task for database management. Recently, researchers apply the AI-driven model to implement query cost estimation for achieving high accuracy. H…
IWEK: An Interpretable What-If Estimator for Database Knobs
Yu Yan, Hongzhi Wang, Jian Geng +5
The knobs of modern database management systems have significant impact on the performance of the systems. With the development of cloud databases, an estimation service for knobs…
MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction
Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini +4
With the emergence of multimodal electronic health records, the evidence for an outcome may be captured across multiple modalities ranging from clinical to imaging and genomic data…