Yicong Zhou
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View article: MCU knockdown mitigates post-stroke neuroinflammation through SLC33A1-mediated reduction of NR4A1 acetylation
MCU knockdown mitigates post-stroke neuroinflammation through SLC33A1-mediated reduction of NR4A1 acetylation Open
Post-stroke neuroinflammation remains a critical contributor to disease progression and recovery. Building on our prior finding that knockdown of the mitochondrial calcium uniporter (MCU) confers protection against ischemic injury, and gui…
View article: Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering
Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering Open
Incomplete multi-view clustering presents significant challenges due to missing views. Although many existing graph-based methods aim to recover missing instances or complete similarity matrices with promising results, they still face seve…
View article: DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Open
Hyperspectral image classification presents challenges due to spectral redundancy and complex spatial-spectral dependencies. This paper proposes a novel framework, DCT-Mamba3D, for hyperspectral image classification. DCT-Mamba3D incorporat…
View article: Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering
Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering Open
Incomplete multi-view clustering presents significant challenges due to missing views. Although many existing graph-based methods aim to recover missing instances or complete similarity matrices with promising results, they still face seve…
View article: Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation Open
Recent advancements in generative models have significantly enhanced their capacity for image generation, enabling a wide range of applications such as image editing, completion and video editing. A specialized area within generative model…
View article: Skeleton-Aware Graph-Based Adversarial Networks for Human Pose Estimation from Sparse IMUs
Skeleton-Aware Graph-Based Adversarial Networks for Human Pose Estimation from Sparse IMUs Open
Recently, sparse-inertial human pose estimation (SI-HPE) with only a few IMUs has shown great potential in various fields. The most advanced work in this area achieved fairish results using only six IMUs. However, there are still two major…
View article: Bi-directional Block Encoding for Reversible Data Hiding over Encrypted Images
Bi-directional Block Encoding for Reversible Data Hiding over Encrypted Images Open
Reversible data hiding over encrypted images (RDH-EI) technology is a viable solution for privacy-preserving cloud storage, as it enables the reversible embedding of additional data into images while maintaining image confidentiality. Sinc…
View article: Waste-YOLO: towards high accuracy real-time abnormal waste detection in waste-to-energy power plant for production safety
Waste-YOLO: towards high accuracy real-time abnormal waste detection in waste-to-energy power plant for production safety Open
Due to the danger of explosive, oversize and poison-induced abnormal waste and the complex conditions in waste-to-energy power plants (WtEPPs), the manual inspection and existing waste detection algorithms are incapable to meet the require…
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification Open
Identifying the land cover category for each pixel in a hyperspectral image (HSI) relies on spectral and spatial information. An HSI cuboid with a specific patch size is utilized to extract spatial-spectral feature representation for the c…
View article: The effect of regulating MCU expression on experimental ischemic brain injury
The effect of regulating MCU expression on experimental ischemic brain injury Open
Mitochondrial calcium uniporter (MCU) is a critical channel for Ca2+ influx into mitochondria. The present study aimed to determine if MCU knockdown has beneficial effects on ischemic brain injury and to explore the underlying mechanisms. …
View article: SEVGGNet-LSTM: a fused deep learning model for ECG classification
SEVGGNet-LSTM: a fused deep learning model for ECG classification Open
This paper presents a fused deep learning algorithm for ECG classification. It takes advantages of the combined convolutional and recurrent neural network for ECG classification, and the weight allocation capability of attention mechanism.…
View article: Uformer-ICS: A U-Shaped Transformer for Image Compressive Sensing Service
Uformer-ICS: A U-Shaped Transformer for Image Compressive Sensing Service Open
Many service computing applications require real-time dataset collection from multiple devices, necessitating efficient sampling techniques to reduce bandwidth and storage pressure. Compressive sensing (CS) has found wide-ranging applicati…
View article: CIM: Class-Irrelevant Mapping for Few-Shot Classification
CIM: Class-Irrelevant Mapping for Few-Shot Classification Open
Few-shot classification (FSC) is one of the most concerned hot issues in recent years. The general setting consists of two phases: (1) Pre-train a feature extraction model (FEM) with base data (has large amounts of labeled samples). (2) Us…
View article: Spatial-Aware Network for Hyperspectral Image Classification
Spatial-Aware Network for Hyperspectral Image Classification Open
Deep learning is now receiving widespread attention in hyperspectral image (HSI) classification. However, due to the imbalance between a huge number of weights and limited training samples, many problems and difficulties have arisen from t…
Prediction and modeling of the basic properties of biomass after torrefaction pretreatment Open
Torrefaction is a promising and effective pretreatment technology to upgrade biomass into a more homogeneous and hydrophobic fuel with higher calorific value and energy density. The main objective of this study was to establish a torrefact…
View article: Secure Reversible Data Hiding in Encrypted Images Using Cipher-Feedback Secret Sharing
Secure Reversible Data Hiding in Encrypted Images Using Cipher-Feedback Secret Sharing Open
Reversible data hiding in encrypted images (RDH-EI) has attracted increasing attention, since it can protect the privacy of original images while the embedded data can be exactly extracted. Recently, some RDH-EI schemes with multiple data …
View article: Detection of Deepfake Videos Using Long Distance Attention
Detection of Deepfake Videos Using Long Distance Attention Open
With the rapid progress of deepfake techniques in recent years, facial video forgery can generate highly deceptive video contents and bring severe security threats. And detection of such forgery videos is much more urgent and challenging. …
View article: Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition
Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition Open
In image analysis, image samples from multiple sources may contain noisy features. Due to the difficulty of obtaining label information and complex intrinsic structures, performing unsupervised feature selection on multi-view data is a cha…
View article: LineCounter: Learning Handwritten Text Line Segmentation by Counting
LineCounter: Learning Handwritten Text Line Segmentation by Counting Open
Handwritten Text Line Segmentation (HTLS) is a low-level but important task for many higher-level document processing tasks like handwritten text recognition. It is often formulated in terms of semantic segmentation or object detection in …
View article: SauvolaNet: Learning Adaptive Sauvola Network for Degraded Document Binarization
SauvolaNet: Learning Adaptive Sauvola Network for Degraded Document Binarization Open
Inspired by the classic Sauvola local image thresholding approach, we systematically study it from the deep neural network (DNN) perspective and propose a new solution called SauvolaNet for degraded document binarization (DDB). It is compo…
View article: Unified Batch All Triplet Loss for Visible-Infrared Person Re-identification
Unified Batch All Triplet Loss for Visible-Infrared Person Re-identification Open
Visible-Infrared cross-modality person re-identification (VI-ReID), whose aim is to match person images between visible and infrared modality, is a challenging cross-modality image retrieval task. Batch Hard Triplet loss is widely used in …
View article: Bridging the Distribution Gap of Visible-Infrared Person Re-identification with Modality Batch Normalization
Bridging the Distribution Gap of Visible-Infrared Person Re-identification with Modality Batch Normalization Open
Visible-infrared cross-modality person re-identification (VI-ReID), whose aim is to match person images between visible and infrared modality, is a challenging cross-modality image retrieval task. Most existing works integrate batch normal…