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06/28/2023
Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting
Forecasting the number of visits to Points-of-Interest (POI) in an urban...
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06/08/2023
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning
Though Self-supervised learning (SSL) has been widely studied as a promi...
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01/20/2023
Clustering Human Mobility with Multiple Spaces
Human mobility clustering is an important problem for understanding huma...
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08/22/2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning
Long-tailed learning aims to tackle the crucial challenge that head clas...
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03/11/2022
AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications
A critical step in virtual dental treatment planning is to accurately de...
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01/17/2022
UWC: Unit-wise Calibration Towards Rapid Network Compression
This paper introduces a post-training quantization (PTQ) method achievin...
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06/04/2021
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks
There is a growing demand for high-resolution (HR) medical images in bot...
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09/16/2020
Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition
Although the facial makeup transfer network has achieved high-quality pe...
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05/31/2020
Modeling Personalized Item Frequency Information for Next-basket Recommendation
Next-basket recommendation (NBR) is prevalent in e-commerce and retail i...
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03/18/2020
Collaborative Distillation for Ultra-Resolution Universal Style Transfer
Universal style transfer methods typically leverage rich representations...
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01/31/2020
Physics-Guided Deep Neural Networks for PowerFlow Analysis
Solving power flow (PF) equations is the basis of power flow analysis, w...
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11/20/2018