Zhengxin Yu
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View article: Network modularity reveals context and state-dependent reorganization of time-varying functional connectivity in single-cell resolved neural activity recordings
Network modularity reveals context and state-dependent reorganization of time-varying functional connectivity in single-cell resolved neural activity recordings Open
An important goal of neuroscience is to understand how biological neural networks organize activity at multiple scales to enable complex information processing and behavioral output. To address this challenge, large-scale neural activity d…
View article: Monocyte Backpack Delivery of Engineered MCF‐7 Exosomes for the Treatment of Early Stage Type 1 Diabetes
Monocyte Backpack Delivery of Engineered MCF‐7 Exosomes for the Treatment of Early Stage Type 1 Diabetes Open
Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disorder characterized by autoimmune‐mediated destruction of pancreatic β‐cells through cytotoxic T lymphocyte infiltration, leading to absolute insulin deficiency. Supplementation of…
View article: Speech-to-See: End-to-End Speech-Driven Open-Set Object Detection
Speech-to-See: End-to-End Speech-Driven Open-Set Object Detection Open
Audio grounding, or speech-driven open-set object detection, aims to localize and identify objects directly from speech, enabling generalization beyond predefined categories. This task is crucial for applications like human-robot interacti…
View article: Quantifying the Rate and Extent of Urbanization Effects on Vegetation Phenology in Mainland China
Quantifying the Rate and Extent of Urbanization Effects on Vegetation Phenology in Mainland China Open
Urbanization profoundly alters environmental conditions (e.g., temperature, artificial light at night (ALAN), and precipitation) that strongly influence vegetation phenology. However, the rate and extent of vegetation phenological response…
View article: Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID
Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID Open
The Federated Domain Generalization for Person re-identification (FedDG-ReID) aims to learn a global server model that can be effectively generalized to source and target domains through distributed source domain data. Existing methods mai…
View article: Tryptophan Suppresses <scp><i>FTH1</i></scp>‐Driven Ferritinophagy, a Key Correlate of Prognosis in Hepatocellular Carcinoma
Tryptophan Suppresses <span><i>FTH1</i></span>‐Driven Ferritinophagy, a Key Correlate of Prognosis in Hepatocellular Carcinoma Open
Hepatocellular carcinoma (HCC) remains a lethal malignancy with limited therapeutic options. Ferritinophagy, an autophagy‐dependent process regulating iron metabolism, has emerged as a key contributor to ferroptosis and tumour progression.…
View article: Automated cell annotation in multi-cell images using an improved CRF_ID algorithm
Automated cell annotation in multi-cell images using an improved CRF_ID algorithm Open
Cell identification is an important yet difficult process in data analysis of biological images. Previously, we developed an automated cell identification method called CRF_ID and demonstrated its high performance in Caenorhabditis elegans…
View article: Wavelet-guided Multi-scale Semantic Fusion for Gastrointestinal Lesion Detection
Wavelet-guided Multi-scale Semantic Fusion for Gastrointestinal Lesion Detection Open
View article: RETRACTED: Computation Offloading and Resource Allocation in Multi-Constraint Edge Environments Using DRL
RETRACTED: Computation Offloading and Resource Allocation in Multi-Constraint Edge Environments Using DRL Open
The authors have requested that this preprint be removed from Research Square.
View article: SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation Open
Federated Graph Learning (FGL) has garnered widespread attention by enabling collaborative training on multiple clients for semi-supervised classification tasks. However, most existing FGL studies do not well consider the missing inter-cli…
View article: Federated Adversarial Learning for Robust Autonomous Landing Runway Detection
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection Open
As the development of deep learning techniques in autonomous landing systems continues to grow, one of the major challenges is trust and security in the face of possible adversarial attacks. In this paper, we propose a federated adversaria…
View article: Federated Meta Learning for Visual Navigation in GPS-denied Urban Airspace
Federated Meta Learning for Visual Navigation in GPS-denied Urban Airspace Open
In this paper, we have proposed a novel FLVO framework which can improve pose estimation accuracy in terms of translational and rotational RMSE drift while reducing security and privacy risks. It also enables fast adaptation to new conditi…
View article: Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph Open
Establishing how a set of learners can provide privacy-preserving federated learning in a fully decentralized (peer-to-peer, no coordinator) manner is an open problem. We propose the first privacy-preserving consensus-based algorithm for t…
View article: PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models
PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models Open
Adversarial extraction attacks constitute an insidious threat against Deep Learning (DL) models in-which an adversary aims to steal the architecture, parameters, and hyper-parameters of a targeted DL model. Existing extraction attack liter…
View article: Message from the IUCC 2021 General Chairs IUCC/CIT/DSCI/SmartCNS 2021
Message from the IUCC 2021 General Chairs IUCC/CIT/DSCI/SmartCNS 2021 Open
Welcome to the
View article: Privacy-Preserving Federated Deep Learning for Cooperative Hierarchical Caching in Fog Computing
Privacy-Preserving Federated Deep Learning for Cooperative Hierarchical Caching in Fog Computing Open
This is the author accepted manuscript. The final version is available from IEEE via the DOI in this record
View article: Amphiphilic Stilbene Derivatives Attenuate the Neurotoxicity of Soluble Aβ42 Oligomers by Controlling Their Interactions with Cell Membranes
Amphiphilic Stilbene Derivatives Attenuate the Neurotoxicity of Soluble Aβ42 Oligomers by Controlling Their Interactions with Cell Membranes Open
Misfolded proteins or polypeptides commonly observed in neurodegenerative diseases, including Alzheimer’s disease (AD), are promising drug targets for developing therapeutic agents. To target the amyloid-β (Aβ) plaques and oligomers, the h…
View article: Blood-Brain Barrier Permeable 2-Phenylbenzothiazolyl Iridi-um Complexes as Inhibitors and Probes of Aβ Aggregation
Blood-Brain Barrier Permeable 2-Phenylbenzothiazolyl Iridi-um Complexes as Inhibitors and Probes of Aβ Aggregation Open
The aggregation of amyloid β (Aβ) peptides is a significant hallmark of Alzheimer’s Disease (AD) and the inhibition and detection of Aβ aggregates are important for the treatment and diagnosis of AD. Herein, a series of benzothiazole-based…
View article: Blood-Brain Barrier Permeable 2-Phenylbenzothiazolyl Iridi-um Complexes as Inhibitors and Probes of Aβ Aggregation
Blood-Brain Barrier Permeable 2-Phenylbenzothiazolyl Iridi-um Complexes as Inhibitors and Probes of Aβ Aggregation Open
The aggregation of amyloid β (Aβ) peptides is a significant hallmark of Alzheimer’s Disease (AD) and the inhibition and detection of Aβ aggregates are important for the treatment and diagnosis of AD. Herein, a series of benzothiazole-based…
View article: A General Approach to Convert Hemicyanine Dyes into Highly Optimized Photoacoustic Scaffolds for Analyte Sensing
A General Approach to Convert Hemicyanine Dyes into Highly Optimized Photoacoustic Scaffolds for Analyte Sensing Open
In the context of deep-tissue disease biomarker detection and analyte sensing of biologically relevant species, the impact of photoacoustic imaging has been profound. However, most photoacoustic imaging agents to date are based on the repu…
View article: A General Approach to Convert Hemicyanine Dyes into Highly Optimized Photoacoustic Scaffolds for Analyte Sensing
A General Approach to Convert Hemicyanine Dyes into Highly Optimized Photoacoustic Scaffolds for Analyte Sensing Open
In the context of deep-tissue disease biomarker detection and analyte sensing of biologically relevant species, the impact of photoacoustic imaging has been profound. However, most photoacoustic imaging agents to date are based on the repu…
View article: Location-Based Robust Beamforming Design for Cellular-Enabled UAV Communications
Location-Based Robust Beamforming Design for Cellular-Enabled UAV Communications Open
This is the author accepted manuscript. The final version is available from IEEE via the DOI in this record
View article: Federated Learning Based Proactive Content Caching in Edge Computing
Federated Learning Based Proactive Content Caching in Edge Computing Open
This is the author accepted manuscript. the final version is available from IEEE via the DOI in this record
View article: A Secure Collaborative Spectrum Sensing Strategy in Cyber-Physical Systems
A Secure Collaborative Spectrum Sensing Strategy in Cyber-Physical Systems Open
Cyber-physical systems (CPS) have the great potential to transform people's lives. Smart cities, smart homes, robot assisted living, and intelligent transportation systems are examples of popular CPS systems and applications. It is an esse…