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09/19/2023
Exploring the Influence of Information Entropy Change in Learning Systems
In this work, we explore the influence of entropy change in deep learnin...
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09/15/2023
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty
Aggregating distributed energy resources in power systems significantly ...
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08/28/2023
Deep Learning and Bayesian inference for Inverse Problems
Inverse problems arise anywhere we have indirect measurement. As, in gen...
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07/12/2023
Early Autism Diagnosis based on Path Signature and Siamese Unsupervised Feature Compressor
Autism Spectrum Disorder (ASD) has been emerging as a growing public hea...
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06/20/2023
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI
Brain structural MRI has been widely used to assess the future progressi...
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05/29/2023
Suppressing Instability in a Vlasov-Poisson System by an External Electric Field Through Constrained Optimization
Fusion energy offers the potential for the generation of clean, safe, an...
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05/06/2023
Differential-Equation Constrained Optimization With Stochasticity
Most inverse problems from physical sciences are formulated as PDE-const...
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03/29/2023
Structure preserving primal dual methods for gradient flows with nonlinear mobility transport distances
We develop structure preserving schemes for a class of nonlinear mobilit...
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03/15/2023
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
While most recent autonomous driving system focuses on developing percep...
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03/14/2023
Enrollment Forecast for Clinical Trials at the Planning Phase with Study-Level Historical Data
Given progressive developments and demands on clinical trials, accurate ...
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03/02/2023
Adopting the Multi-answer Questioning Task with an Auxiliary Metric for Extreme Multi-label Text Classification Utilizing the Label Hierarchy
Extreme multi-label text classification utilizes the label hierarchy to ...
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01/17/2023
BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation
Previous works on emotion recognition in conversation (ERC) follow a two...
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01/03/2023
Enrollment Forecast for Clinical Trials at the Portfolio Planning Phase Based on Site-Level Historical Data
Accurate forecast of a clinical trial enrollment timeline at the plannin...
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12/09/2022
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations
Deep operator network (DeepONet) has demonstrated great success in vario...
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11/24/2022
MIMO Systems with Reconfigurable Antennas: Joint Channel Estimation and Mode Selection
Reconfigurable antennas (RAs) are a promising technology to enhance the ...
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11/05/2022
Deep Factorization Model for Robust Recommendation
Recently, malevolent user hacking has become a huge problem for real-wor...
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09/25/2022
Monte Carlo Gradient in Optimization Constrained by Radiative Transport Equation
Can Monte Carlo (MC) solvers be directly used in gradient-based methods ...
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09/07/2022
Propagation Path Loss Models in Forest Scenario at 605 MHz
When signals propagate through forest areas, they will be affected by en...
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09/06/2022
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion
3D Multi-object tracking (MOT) ensures consistency during continuous dyn...
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08/25/2022
Uniform error estimate of an asymptotic preserving scheme for the Lévy-Fokker-Planck equation
We establish a uniform-in-scaling error estimate for the asymptotic pres...
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08/16/2022
Low Rank Tensor Decompositions and Approximations
There exist linear relations among tensor entries of low rank tensors. T...
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08/09/2022
Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network
Missing scans are inevitable in longitudinal studies due to either subje...
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08/06/2022
Deep Uncalibrated Photometric Stereo via Inter-Intra Image Feature Fusion
Uncalibrated photometric stereo is proposed to estimate the detailed sur...
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07/27/2022
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger
Vision Transformers (ViTs) have recently dominated a range of computer v...
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07/23/2022
Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation
Amphibious ground-aerial vehicles fuse flying and driving modes to enabl...
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07/10/2022
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection
Monocular 3D object detection is an essential perception task for autono...
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05/30/2022
Detecting fake news by enhanced text representation with multi-EDU-structure awareness
Since fake news poses a serious threat to society and individuals, numer...
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03/31/2022
ImpDet: Exploring Implicit Fields for 3D Object Detection
Conventional 3D object detection approaches concentrate on bounding boxe...
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03/31/2022
Learning Decoupling Features Through Orthogonality Regularization
Keyword spotting (KWS) and speaker verification (SV) are two important t...
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03/08/2022
Source-free Domain Adaptation for Multi-site and Lifespan Brain Skull Stripping
Skull stripping is a crucial prerequisite step in the analysis of brain ...
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03/04/2022
Computer-Aided Road Inspection: Systems and Algorithms
Road damage is an inconvenience and a safety hazard, severely affecting ...
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02/22/2022
A Framework for Multi-stage Bonus Allocation in meal delivery Platform
Online meal delivery is undergoing explosive growth, as this service is ...
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02/22/2022
Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era
Facial Liveness Verification (FLV) is widely used for identity authentic...
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02/15/2022
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation
Social recommendation has shown promising improvements over traditional ...
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02/10/2022
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation
Cross Domain Recommendation (CDR) has been popularly studied to alleviat...
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01/28/2022
Higher Order Correlation Analysis for Multi-View Learning
Multi-view learning is frequently used in data science. The pairwise cor...
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01/14/2022
The Implicit Regularization of Momentum Gradient Descent with Early Stopping
The study on the implicit regularization induced by gradient-based optim...
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12/28/2021
Deep neural networks for solving forward and inverse problems of (2+1)-dimensional nonlinear wave equations with rational solitons
In this paper, we investigate the forward problems on the data-driven ra...
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12/04/2021
A refined consumer behavior model for energy systems: Application to the pricing and energy-efficiency problems
The sum-utility maximization problem is known to be important in the ene...
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11/18/2021
Data-driven discovery of Bäcklund transforms and soliton evolution equations via deep neural network learning schemes
We introduce a deep neural network learning scheme to learn the Bäcklund...
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11/16/2021
Mathematical Models for Local Sensing Hashes
As data volumes continue to grow, searches in data are becoming increasi...
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11/02/2021
Practical and Light-weight Secure Aggregation for Federated Submodel Learning
Recently, Niu, et. al. introduced a new variant of Federated Learning (F...
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10/28/2021
Dispensed Transformer Network for Unsupervised Domain Adaptation
Accurate segmentation is a crucial step in medical image analysis and ap...
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10/13/2021
Solving multiscale steady radiative transfer equation using neural networks with uniform stability
This paper concerns solving the steady radiative transfer equation with ...
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10/09/2021
Wav2vec-S: Semi-Supervised Pre-Training for Speech Recognition
Self-supervised pre-training has dramatically improved the performance o...
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09/24/2021
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans
Accurately segmenting teeth and identifying the corresponding anatomical...
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09/14/2021
Structure-Enhanced Pop Music Generation via Harmony-Aware Learning
Automatically composing pop music with a satisfactory structure is an at...
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09/12/2021
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
Discrete-continuous hybrid action space is a natural setting in many pra...
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08/12/2021
Progressive Coordinate Transforms for Monocular 3D Object Detection
Recognizing and localizing objects in the 3D space is a crucial ability ...
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08/12/2021