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08/08/2023
Exploring the Spatiotemporal Features of Online Food Recommendation Service
Online Food Recommendation Service (OFRS) has remarkable spatiotemporal ...
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08/08/2023
Multi-Granularity Attention Model for Group Recommendation
Group recommendation provides personalized recommendations to a group of...
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12/15/2022
Relightable Neural Human Assets from Multi-view Gradient Illuminations
Human modeling and relighting are two fundamental problems in computer v...
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11/22/2022
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service
Online Food Ordering Service (OFOS) is a popular location-based service ...
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09/20/2022
Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services
In Location-Based Services(LBS), user behavior naturally has a strong de...
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07/03/2022
Digital-twin-enhanced metal tube bending forming real-time prediction method based on Multi-source-input MTL
As one of the most widely used metal tube bending methods, the rotary dr...
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12/01/2021
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems
In this paper, we leverage the recent advances in physics-informed neura...
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08/24/2021
Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment
Considerable research has been devoted to deep learning-based predictive...
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07/30/2021