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Xin Zhou
74 publications
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68 publications
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∙ 03/13/2023

Fractional dynamics foster deep learning of COPD stage prediction

Chronic obstructive pulmonary disease (COPD) is one of the leading cause...

0 Chenzhong Yin, et al. ∙

∙ 03/12/2023

Raising The Limit Of Image Rescaling Using Auxiliary Encoding

Normalizing flow models using invertible neural networks (INN) have been...

0 Chenzhong Yin, et al. ∙

∙ 03/04/2023

Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations

Coupled partial differential equations (PDEs) are key tasks in modeling ...

0 Xiongye Xiao, et al. ∙

∙ 01/25/2023

A Majority Logic Synthesis Framework For Single Flux Quantum Circuits

Exascale computing and its associated applications have required increas...

0 Junyao Zhang, et al. ∙

∙ 01/24/2023

C-SAR: SAT Attack Resistant Logic Locking for RSFQ Circuits

Since the development of semiconductor technologies, exascale computing ...

0 Junyao Zhang, et al. ∙

∙ 04/25/2022

End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning

To enable heterogeneous computing systems with autonomous programming an...

0 Yao Xiao, et al. ∙

∙ 04/24/2022

Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System

Decentralized learning is an efficient emerging paradigm for boosting th...

0 Mohamed Ridha Znaidi, et al. ∙

∙ 11/08/2021

Trust-aware Control for Intelligent Transportation Systems

Many intelligent transportation systems are multi-agent systems, i.e., b...

0 Mingxi Cheng, et al. ∙

∙ 09/28/2021

Multiwavelet-based Operator Learning for Differential Equations

The solution of a partial differential equation can be obtained by compu...

8 Gaurav Gupta, et al. ∙

∙ 07/29/2021

Non-Markovian Reinforcement Learning using Fractional Dynamics

Reinforcement learning (RL) is a technique to learn the control policy f...

0 Gaurav Gupta, et al. ∙

∙ 03/16/2021

Learning Hyperbolic Representations of Topological Features

Learning task-specific representations of persistence diagrams is an imp...

0 Panagiotis Kyriakis, et al. ∙

∙ 01/28/2021

VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text

Social media became popular and percolated almost all aspects of our dai...

0 Mingxi Cheng, et al. ∙

∙ 10/09/2020

A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems

High-level applications, such as machine learning, are evolving from sim...

0 Guixiang Ma, et al. ∙

∙ 04/05/2020

S4oC: A Self-optimizing, Self-adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats – A Network Theoretic, Learning Approach

We propose a framework for the design and optimization of a secure self-...

0 Shahin Nazarian, et al. ∙

∙ 04/05/2020

Efficient Task Mapping for Manycore Systems

System-on-chip (SoC) has migrated from single core to manycore architect...

0 Xiqian Wang, et al. ∙

∙ 12/20/2019

H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers – A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based

Cloud computing has attracted both end-users and Cloud Service Providers...

0 Mingxi Cheng, et al. ∙

∙ 12/20/2019

H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers

Cloud computing has attracted both end-users and Cloud Service Providers...

0 Mingxi Cheng, et al. ∙

∙ 09/25/2019

Design Methodology for Energy Efficient Unmanned Aerial Vehicles

In this paper, we present a load-balancing approach to analyze and parti...

0 Jingyu He, et al. ∙

∙ 11/02/2018

Learning Latent Fractional dynamics with Unknown Unknowns

Despite significant effort in understanding complex systems (CS), we lac...

0 Gaurav Gupta, et al. ∙

∙ 11/02/2018

Data-driven Perception of Neuron Point Process with Unknown Unknowns

Identification of patterns from discrete data time-series for statistica...

0 Ruochen Yang, et al. ∙

∙ 06/17/2018

Approximate Submodular Functions and Performance Guarantees

We consider the problem of maximizing non-negative non-decreasing set fu...

0 Gaurav Gupta, et al. ∙

∙ 03/28/2018

Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators

Thermoelectric generation (TEG) has increasingly drawn attention for bei...

0 Hanchen Yang, et al. ∙

∙ 03/27/2018

Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis

Brain interfaces are cyber-physical systems that aim to harvest informat...

0 Gaurav Gupta, et al. ∙

∙ 03/10/2018

Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs

This paper focuses on analysis and design of time-varying complex networ...

0 Gaurav Gupta, et al. ∙

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