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07/30/2023
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach
Electric autonomous vehicles (EAVs) are getting attention in future auto...
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07/30/2023
Robust Multi-Agent Reinforcement Learning with State Uncertainty
In real-world multi-agent reinforcement learning (MARL) applications, ag...
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07/11/2023
3D Medical Image Segmentation based on multi-scale MPU-Net
The high cure rate of cancer is inextricably linked to physicians' accur...
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06/20/2023
Transforming Graphs for Enhanced Attribute-Based Clustering: An Innovative Graph Transformer Method
Graph Representation Learning (GRL) is an influential methodology, enabl...
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06/12/2023
Optimizing Investment Strategies with Lazy Factor and Probability Weighting: A Price Portfolio Forecasting and Mean-Variance Model with Transaction Costs Approach
Market traders often engage in the frequent transaction of volatile asse...
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04/12/2023
Optimizing Sensor Allocation against Attackers with Uncertain Intentions: A Worst-Case Regret Minimization Approach
This paper is concerned with the optimal allocation of detection resourc...
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02/16/2023
PAAPLoss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement
Despite rapid advancement in recent years, current speech enhancement mo...
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02/16/2023
TAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement
Speech enhancement models have greatly progressed in recent years, but s...
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01/03/2023
Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs
This paper investigates the problem of synthesizing proactive defense sy...
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12/06/2022
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
Various methods for Multi-Agent Reinforcement Learning (MARL) have been ...
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11/24/2022
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties
Electric vehicles (EVs) are being rapidly adopted due to their economic ...
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10/13/2022
Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs
This paper studies the deployment of joint moving target defense (MTD) a...
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10/10/2022
Masked Autoencoders for Low dose CT denoising
Low-dose computed tomography (LDCT) reduces the X-ray radiation but comp...
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09/17/2022
A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems
Electric vehicles (EVs) play critical roles in autonomous mobility-on-de...
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09/06/2022
Deep filter bank regression for super-resolution of anisotropic MR brain images
In 2D multi-slice magnetic resonance (MR) acquisition, the through-plane...
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05/10/2022
Disentangling A Single MR Modality
Disentangling anatomical and contrast information from medical images ha...
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03/28/2022
Synthesizing Attack-Aware Control and Active Sensing Strategies under Reactive Sensor Attacks
We consider the probabilistic planning problem for a defender (P1) who c...
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03/05/2022
Coordinate Translator for Learning Deformable Medical Image Registration
The majority of deep learning (DL) based deformable image registration m...
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01/28/2022
A Secure and Efficient Federated Learning Framework for NLP
In this work, we consider the problem of designing secure and efficient ...
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06/29/2021
RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images
Robust and accurate nuclei centroid detection is important for the under...
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04/01/2021
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness
We consider the probabilistic planning problem where the agent (called P...
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03/31/2021
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions
To super-resolve the through-plane direction of a multi-slice 2D magneti...
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01/17/2020
CHAOS Challenge – Combined (CT-MR) Healthy Abdominal Organ Segmentation
Segmentation of abdominal organs has been a comprehensive, yet unresolve...
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09/13/2019
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images
Fluorescence microscopy is an essential tool for the analysis of 3D subc...
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04/19/2019
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks
Due to image blurring image deconvolution is often used for studying bio...
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02/25/2019
Decimeter Ranging with Channel State Information
This paper aims at the problem of time-of-flight (ToF) estimation using ...
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01/22/2018
