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08/25/2023
MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification
The eXtreme Multi-label text Classification(XMC) refers to training a cl...
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03/23/2023
FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance
Collusive fraud, in which multiple fraudsters collude to defraud health ...
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03/05/2022
DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGAN
The research topic of sketch-to-portrait generation has witnessed a boos...
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07/06/2021
Improving Text-to-Image Synthesis Using Contrastive Learning
The goal of text-to-image synthesis is to generate a visually realistic ...
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07/05/2020
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification
Extreme multi-label text classification (XMTC) is a task for tagging a g...
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05/19/2020
k-sums: another side of k-means
In this paper, the decades-old clustering method k-means is revisited. T...
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04/14/2020
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
An outbreak of a novel coronavirus disease (i.e., COVID-19) has been rec...
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07/18/2019
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series
The anomaly detection of time series is a hotspot of time series data mi...
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12/04/2018
EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search
E-commerce sponsored search contributes an important part of revenue for...
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06/22/2018
