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09/15/2023
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance
Real-time transportation surveillance is an essential part of the intell...
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09/09/2023
Generalized Minimum Error with Fiducial Points Criterion for Robust Learning
The conventional Minimum Error Entropy criterion (MEE) has its limitatio...
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09/08/2023
On the performance of an integrated communication and localization system: an analytical framework
Quantifying the performance bound of an integrated localization and comm...
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07/17/2023
On the application of Large Language Models for language teaching and assessment technology
The recent release of very large language models such as PaLM and GPT-4 ...
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07/17/2023
A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images
Skin diseases are among the most prevalent health issues, and accurate c...
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07/17/2023
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
Liver tumor segmentation and classification are important tasks in compu...
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07/06/2023
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
Asymmetry is a crucial characteristic of bilateral mammograms (Bi-MG) wh...
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07/03/2023
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
Magnetic resonance imaging (MRI) is the most sensitive technique for bre...
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07/03/2023
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
Multi-sequence MRI is valuable in clinical settings for reliable diagnos...
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06/01/2023
Extragradient SVRG for Variational Inequalities: Error Bounds and Increasing Iterate Averaging
We study variance reduction methods for extragradient (EG) algorithms fo...
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04/27/2023
Provably Stabilizing Global-Position Tracking Control for Hybrid Models of Multi-Domain Bipedal Walking via Multiple Lyapunov Analysis
Accurate control of a humanoid robot's global position (i.e., its three-...
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04/17/2023
SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing
The presence of non-homogeneous haze can cause scene blurring, color dis...
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04/13/2023
On the asymptotic properties of a bagging estimator with a massive dataset
Bagging is a useful method for large-scale statistical analysis, especia...
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04/13/2023
A review of distributed statistical inference
The rapid emergence of massive datasets in various fields poses a seriou...
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04/12/2023
Testing Sufficiency for Transfer Learning
Modern statistical analysis often encounters high dimensional models but...
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04/05/2023
Unleashing the Power of ChatGPT for Translation: An Empirical Study
The recently released ChatGPT has demonstrated surprising abilities in n...
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03/01/2023
Robust and Practical Solution of Laplacian Equations by Approximate Elimination
We introduce a new algorithm and software for solving linear equations i...
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03/01/2023
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates
We consider the problem of large-scale Fisher market equilibrium computa...
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02/23/2023
Financial Distress Prediction For Small And Medium Enterprises Using Machine Learning Techniques
Financial Distress Prediction plays a crucial role in the economy by acc...
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02/03/2023
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data
Magnetic resonance imaging (MRI) is highly sensitive for lesion detectio...
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02/01/2023
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI
Multi-sequence MRIs can be necessary for reliable diagnosis in clinical ...
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12/28/2022
Wormhole MAML: Meta-Learning in Glued Parameter Space
In this paper, we introduce a novel variation of model-agnostic meta-lea...
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12/27/2022
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object Segmentation
The task of referring video object segmentation aims to segment the obje...
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10/29/2022
Structure preserving schemes for Fokker-Planck equations of irreversible processes
In this paper, we introduce second order and fourth order space discreti...
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10/24/2022
Time-Varying ALIP Model and Robust Foot-Placement Control for Underactuated Bipedal Robot Walking on a Swaying Rigid Surface
Controller design for bipedal walking on dynamic rigid surfaces (DRSes),...
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10/12/2022
MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection
Recent research about camouflaged object detection (COD) aims to segment...
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09/29/2022
Statistical Inference for Fisher Market Equilibrium
Statistical inference under market equilibrium effects has attracted inc...
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09/28/2022
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning
It is well known that it is difficult to have a reliable and robust fram...
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08/29/2022
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer
We study a practical yet hasn't been explored problem: how a drone can p...
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08/24/2022
Singleton-optimal (r,δ)-LRCs via some good polynomials of special forms
RS-like locally repairable codes (LRCs) based on polynomial evaluation w...
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08/12/2022
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation
In unsupervised domain adaptive (UDA) semantic segmentation, the distill...
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08/10/2022
Towards Autonomous Atlas-based Ultrasound Acquisitions in Presence of Articulated Motion
Robotic ultrasound (US) imaging aims at overcoming some of the limitatio...
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08/05/2022
Learning to Coordinate for a Worker-Station Multi-robot System in Planar Coverage Tasks
For massive large-scale tasks, a multi-robot system (MRS) can effectivel...
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08/01/2022
Composable Text Control Operations in Latent Space with Ordinary Differential Equations
Real-world text applications often involve composing a wide range of tex...
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07/06/2022
Some results on locally repairable codes with minimum distance 7 and locality 2
Locally repairable codes(LRCs) play important roles in distributed stora...
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05/14/2022
Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap
As a rising task, panoptic segmentation is faced with challenges in both...
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05/10/2022
VesNet-RL: Simulation-based Reinforcement Learning for Real-World US Probe Navigation
Ultrasound (US) is one of the most common medical imaging modalities sin...
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05/09/2022
Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering
Video question answering (VideoQA) is challenging given its multimodal c...
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04/19/2022
Rumor Detection with Self-supervised Learning on Texts and Social Graph
Rumor detection has become an emerging and active research field in rece...
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03/09/2022
Factor-augmented model for functional data
We propose modeling raw functional data as a mixture of a smooth functio...
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02/25/2022
Bidding Agent Design in the LinkedIn Ad Marketplace
We establish a general optimization framework for the design of automate...
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02/23/2022
Nonstationary Dual Averaging and Online Fair Allocation
We consider the problem of fairly allocating items to a set of individua...
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02/14/2022
Finding Dynamics Preserving Adversarial Winning Tickets
Modern deep neural networks (DNNs) are vulnerable to adversarial attacks...
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01/25/2022
Invariant Filtering for Legged Humanoid Locomotion on Dynamic Rigid Surfaces
State estimation for legged locomotion over a dynamic rigid surface (DRS...
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12/09/2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images
The world is currently experiencing an ongoing pandemic of an infectious...
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12/03/2021
Matlab program method of computing Carleman estimates and applications
In this paper, we introduce a Matlab program method to compute Carleman ...
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11/04/2021
Towards Panoptic 3D Parsing for Single Image in the Wild
Performing single image holistic understanding and 3D reconstruction is ...
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11/02/2021
An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear Regression Models
Momentum methods have been shown to accelerate the convergence of the st...
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10/29/2021
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning
Distributed multi-party learning provides an effective approach for trai...
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10/18/2021
