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09/09/2023
Fast Simulation of High-Depth QAOA Circuits
Until high-fidelity quantum computers with a large number of qubits beco...
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04/24/2023
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration
Biologically inspired Spiking Neural Networks (SNNs) have attracted sign...
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03/29/2023
Quantum Deep Hedging
Quantum machine learning has the potential for a transformative impact a...
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02/03/2023
Around the world in 60 words: A generative vocabulary test for online research
Conducting experiments with diverse participants in their native languag...
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12/13/2022
Generative methods for Urban design and rapid solution space exploration
Rapid population growth and climate change drive urban renewal and urban...
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11/30/2022
Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off
Over-parameterization of deep neural networks (DNNs) has shown high pred...
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11/03/2022
3D Reconstruction of Multiple Objects by mmWave Radar on UAV
In this paper, we explore the feasibility of utilizing a mmWave radar se...
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09/04/2022
Incremental maximum likelihood estimation for efficient adaptive filtering
Adaptive filtering is a well-known problem with a wide range of applicat...
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07/21/2022
R2P: A Deep Learning Model from mmWave Radar to Point Cloud
Recent research has shown the effectiveness of mmWave radar sensing for ...
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03/30/2022
System Identification via Nuclear Norm Regularization
This paper studies the problem of identifying low-order linear systems v...
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01/16/2022
Towards Sample-efficient Overparameterized Meta-learning
An overarching goal in machine learning is to build a generalizable mode...
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09/19/2021
DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar
Recent research has shown that mmWave radar sensing is effective for obj...
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09/09/2021
Quantum Machine Learning for Finance
Quantum computers are expected to surpass the computational capabilities...
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08/05/2021
3DRIMR: 3D Reconstruction and Imaging via mmWave Radar based on Deep Learning
mmWave radar has been shown as an effective sensing technique in low vis...
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08/05/2021
LIDAUS: Localization of IoT Device via Anchor UAV SLAM
We introduce LIDAUS Localization of IoT Device via Anchor UAV SLAM), an ...
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02/14/2021
Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning
Constructing good representations is critical for learning complex tasks...
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08/18/2020
A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection
More personal consumer loan products are emerging in mobile banking APP....
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07/04/2020
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
To better understand early brain growth patterns in health and disorder,...
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04/19/2020
ResNeSt: Split-Attention Networks
While image classification models have recently continued to advance, mo...
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06/18/2019
Escaping from saddle points on Riemannian manifolds
We consider minimizing a nonconvex, smooth function f on a Riemannian ma...
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11/18/2018
Transform-Based Multilinear Dynamical System for Tensor Time Series Analysis
We propose a novel multilinear dynamical system (MLDS) in a transform do...
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02/20/2018
Statistical Software for Psychology: Comparing Development Practices Between CRAN and Other Communities
Different communities rely heavily on software, but use quite different ...
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02/10/2018
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning
Bronchoscopy inspection as a follow-up procedure from the radiological i...
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12/23/2017
Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network
The denoising of magnetic resonance (MR) images is a task of great impor...
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12/01/2017
Spatial Modulation Aided Layered Division Multiplexing: A Spectral Efficiency Perspective
In this paper, spatial modulation (SM) is introduced to layered division...
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10/23/2017