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06/21/2023
STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation
Recommendation systems play a vital role in many online platforms, with ...
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05/12/2023
Knowledge Soft Integration for Multimodal Recommendation
One of the main challenges in modern recommendation systems is how to ef...
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04/03/2023
Click-aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation
Post-click Conversion Rate (CVR) prediction task plays an essential role...
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12/12/2022
CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction
Surgery is the only viable treatment for cataract patients with visual a...
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03/13/2022
PNM: Pixel Null Model for General Image Segmentation
A major challenge in image segmentation is classifying object boundaries...
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02/21/2022
A Deep Learning Approach to Predicting Ventilator Parameters for Mechanically Ventilated Septic Patients
We develop a deep learning approach to predicting a set of ventilator pa...
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12/15/2020
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework
Since the label collecting is prohibitive and time-consuming, unsupervis...
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07/30/2020
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge
Multi-label zero-shot classification aims to predict multiple unseen cla...
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01/08/2020
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution
Click-through rate (CTR) prediction is an essential task in industrial a...
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05/11/2018
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud
Internet companies are facing the need of handling large scale machine l...
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09/22/2017