b'Shuo Han'

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Featured Co-authors

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263 publications
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99 publications
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84 publications
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78 publications
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68 publications
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50 publications
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39 publications

research

∙ 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...

0 Sihong He, et al. ∙

research

∙ 07/30/2023

Robust Multi-Agent Reinforcement Learning with State Uncertainty

In real-world multi-agent reinforcement learning (MARL) applications, ag...

0 Sihong He, et al. ∙

research

∙ 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...

0 Zeqiu. Yu, et al. ∙

research

∙ 06/20/2023

Transforming Graphs for Enhanced Attribute-Based Clustering: An Innovative Graph Transformer Method

Graph Representation Learning (GRL) is an influential methodology, enabl...

0 Shuo Han, et al. ∙

research

∙ 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...

0 Shuo Han, et al. ∙

research

∙ 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...

0 Haoxiang Ma, et al. ∙

research

∙ 02/16/2023

PAAPLoss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement

Despite rapid advancement in recent years, current speech enhancement mo...

0 Muqiao Yang, et al. ∙

research

∙ 02/16/2023

TAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement

Speech enhancement models have greatly progressed in recent years, but s...

0 Yunyang Zeng, et al. ∙

research

∙ 01/03/2023

Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs

This paper investigates the problem of synthesizing proactive defense sy...

0 Haoxiang Ma, et al. ∙

research

∙ 12/06/2022

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?

Various methods for Multi-Agent Reinforcement Learning (MARL) have been ...

0 Songyang Han, et al. ∙

research

∙ 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 ...

0 Sihong He, et al. ∙

research

∙ 10/13/2022

Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs

This paper studies the deployment of joint moving target defense (MTD) a...

0 Lening Li, et al. ∙

research

∙ 10/10/2022

Masked Autoencoders for Low dose CT denoising

Low-dose computed tomography (LDCT) reduces the X-ray radiation but comp...

0 Dayang Wang, et al. ∙

research

∙ 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...

10 Sihong He, et al. ∙

research

∙ 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...

0 Samuel W. Remedios, et al. ∙

research

∙ 05/10/2022

Disentangling A Single MR Modality

Disentangling anatomical and contrast information from medical images ha...

6 Lianrui Zuo, et al. ∙

research

∙ 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...

0 Sumukha Udupa, et al. ∙

research

∙ 03/05/2022

Coordinate Translator for Learning Deformable Medical Image Registration

The majority of deep learning (DL) based deformable image registration m...

4 Yihao Liu, et al. ∙

research

∙ 01/28/2022

A Secure and Efficient Federated Learning Framework for NLP

In this work, we consider the problem of designing secure and efficient ...

0 Jieren Deng, et al. ∙

research

∙ 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...

0 Liming Wu, et al. ∙

research

∙ 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...

0 Abhishek N. Kulkarni, et al. ∙

research

∙ 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...

0 Shuo Han, et al. ∙

research

∙ 01/17/2020

CHAOS Challenge – Combined (CT-MR) Healthy Abdominal Organ Segmentation

Segmentation of abdominal organs has been a comprehensive, yet unresolve...

0 A. Emre Kavur, et al. ∙

research

∙ 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...

6 David Joon Ho, et al. ∙

research

∙ 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...

0 Soonam Lee, et al. ∙

research

∙ 02/25/2019

Decimeter Ranging with Channel State Information

This paper aims at the problem of time-of-flight (ToF) estimation using ...

0 Navid Tadayon, et al. ∙

research

∙ 01/22/2018

Fluorescence Microscopy Image Segmentation Using Convolutional Neural Network With Generative Adversarial Networks

Recent advance in fluorescence microscopy enables acquisition of 3D imag...

0 Chichen Fu, et al. ∙

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