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08/30/2023
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
In the field of parallel imaging (PI), alongside image-domain regulariza...
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08/05/2023
Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis
In this paper, a dynamic dual-graph fusion convolutional network is prop...
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06/28/2023
Confidence Ranking for CTR Prediction
Model evolution and constant availability of data are two common phenome...
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05/04/2023
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI
Magnetic resonance imaging (MRI) is known to have reduced signal-to-nois...
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04/17/2023
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction
Click-through rate (CTR) prediction is of great importance in recommenda...
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08/11/2022
K-UNN: k-Space Interpolation With Untrained Neural Network
Recently, untrained neural networks (UNNs) have shown satisfactory perfo...
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06/26/2022
A Pre-Computing Solution for Online Advertising Serving
Click-Through Rate (CTR) prediction plays a key role in online advertisi...
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04/01/2022
Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction
Click-through rate (CTR) Prediction is of great importance in real-world...
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04/01/2022
Concept Drift Adaptation for CTR Prediction in Online Advertising Systems
Click-through rate (CTR) prediction is a crucial task in web search, rec...
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11/09/2021
Dynamic Parameterized Network for CTR Prediction
Learning to capture feature relations effectively and efficiently is ess...
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02/01/2021
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars
In autonomous driving, navigation through unsignaled intersections with ...
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01/14/2021
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention
Pedestrian trajectory prediction is a critical yet challenging task, esp...
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09/15/2020
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction
Accurate pedestrian trajectory prediction is of great importance for dow...
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05/02/2020
CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation
Forecasting human trajectories is critical for tasks such as robot crowd...
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09/23/2019
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze
Safe and efficient crowd navigation for mobile robot is a crucial yet ch...
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07/10/2019
Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments
Vision-based autonomous driving through imitation learning mimics the be...
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04/17/2019
Gaze Training by Modulated Dropout Improves Imitation Learning
Imitation learning by behavioral cloning is a prevalent method which has...
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03/03/2019
