Guodong Guo
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View article: Cervical intradural disc herniation: a new diagnostic clue based on MRI T2 hyperintensity and intraoperative increased water content in the intervertebral disc—a case report and mechanistic insights
Cervical intradural disc herniation: a new diagnostic clue based on MRI T2 hyperintensity and intraoperative increased water content in the intervertebral disc—a case report and mechanistic insights Open
Background Cervical intradural disc herniation (CIDH) is a rare spinal condition characterized by herniation of nucleus pulposus through the dura mater into the subarachnoid space, resulting in spinal cord or nerve root compression. Its ra…
View article: DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving
DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving Open
Unlike discriminative approaches in autonomous driving that predict a fixed set of candidate trajectories of the ego vehicle, generative methods, such as diffusion models, learn the underlying distribution of future motion, enabling more f…
View article: A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer
A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer Open
Introduction Colorectal Cancer (CRC) remains a leading cause of cancer-related mortality, characterized by substantial interpatient heterogeneity and limited effective prognostic biomarkers. Methods To address this gap, we constructed a ro…
View article: Risk correlation analysis of serum adiponectin (APN), D-dimer (DD) and the neutrophil‒lymphocyte ratio (NLR) with the prognosis of diabetic foot ulcer infection
Risk correlation analysis of serum adiponectin (APN), D-dimer (DD) and the neutrophil‒lymphocyte ratio (NLR) with the prognosis of diabetic foot ulcer infection Open
Objective: Investigating the connections between diabetic foot ulcer infection patients' prognosis and disease severity, we measured serum adiponectin (APN), D-dimer (D-D), and the neutrophil-to-lymphocyte ratio (NLR). Methods: A total of …
View article: Homogeneous electrochemical detection of carcinoembryonic antigen based on target-controlled catalytical reaction of platinum/UiO-66 MOFs nanozyme integrated with aptamer
Homogeneous electrochemical detection of carcinoembryonic antigen based on target-controlled catalytical reaction of platinum/UiO-66 MOFs nanozyme integrated with aptamer Open
In this work, a novel homogeneous electrochemical (HEC) sensing strategy was developed for carcinoembryonic antigen (CEA) detection, addressing limitations of traditional electrochemical platforms that necessitate complex electrode modific…
View article: Delta large-channel endoscopic discectomy versus Unilateral biportal endoscopic discectomy in the treatment of lumbar disc herniation: A Retrospective Study
Delta large-channel endoscopic discectomy versus Unilateral biportal endoscopic discectomy in the treatment of lumbar disc herniation: A Retrospective Study Open
OBJECTIVE To compare the clinical efficacy and safety of two posterior minimally invasive surgeries using percutaneous interlaminar approach: Delta large-channel endoscopic discectomy(DLED) versus Unilateral biportal endoscopic discectomy(…
View article: <sup>99</sup>mTc-FAPI SPECT/CT for Evaluation of Myocardial Fibrosis and Cardiac Function in Valvular Heart Disease
<sup>99</sup>mTc-FAPI SPECT/CT for Evaluation of Myocardial Fibrosis and Cardiac Function in Valvular Heart Disease Open
Background Active myocardial fibrosis plays a pivotal role in valvular heart disease (VHD) progression. While conventional imaging modalities primarily detect established fibrosis, the detection of active fibroblast activation remains chal…
View article: Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization Open
Sharpness-Aware Minimization (SAM) has emerged as a promising approach for effectively reducing the generalization error. However, SAM incurs twice the computational cost compared to the base optimizer (e.g., SGD). We propose Asymptotic Un…
View article: Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation
Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation Open
Enabling humanoid robots to perform long-horizon mobile manipulation planning in real-world environments based on embodied perception and comprehension abilities has been a longstanding challenge. With the recent rise of large language mod…
View article: Graph Structure Refinement with Energy-based Contrastive Learning
Graph Structure Refinement with Energy-based Contrastive Learning Open
Graph Neural Networks (GNNs) have recently gained widespread attention as a successful tool for analyzing graph-structured data. However, imperfect graph structure with noisy links lacks enough robustness and may damage graph representatio…
View article: Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation
Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation Open
Enabling humanoid robots to perform long-horizon mobile manipulation planning in real-world environments based on embodied perception and comprehension abilities has been a longstanding challenge. With the recent rise of large language mod…
View article: Data‐Driven Surrogate‐Assisted Acceleration Approach for Long‐Term Stochastic Chronological Operation Simulation
Data‐Driven Surrogate‐Assisted Acceleration Approach for Long‐Term Stochastic Chronological Operation Simulation Open
Stochastic chronological operation simulation (S‐COS) is essential for analysing long‐term supply‐demand balance in power systems with high penetration of renewable energy. However, conventional methods face significant computational chall…
View article: The optimised model of predicting protein‐metal ion ligand binding residues
The optimised model of predicting protein‐metal ion ligand binding residues Open
Metal ions are significant ligands that bind to proteins and play crucial roles in cell metabolism, material transport, and signal transduction. Predicting the protein‐metal ion ligand binding residues (PMILBRs) accurately is a challenging…
View article: Graph Structure Refinement with Energy-based Contrastive Learning
Graph Structure Refinement with Energy-based Contrastive Learning Open
Graph Neural Networks (GNNs) have recently gained widespread attention as a successful tool for analyzing graph-structured data. However, imperfect graph structure with noisy links lacks enough robustness and may damage graph representatio…
View article: Planning of distributed energy storage with the coordination of transmission and distribution systems considering extreme weather
Planning of distributed energy storage with the coordination of transmission and distribution systems considering extreme weather Open
As the penetration level of renewable energy is continuously growing, it is essential for transmission and distribution system operators to collaborate on optimizing the siting and sizing of distributed energy storage to enhance the operat…
View article: A load sequence scenario generation method based on a dual-layer Markov chain Monte Carlo model
A load sequence scenario generation method based on a dual-layer Markov chain Monte Carlo model Open
Generating a large number of representative load sequence scenarios is crucial for evaluating the supply-demand balance, economic efficiency, and reliability of power systems, which have a high penetration rate of new energy. Current scena…
View article: Precise lymph node biopsy for endometrial cancer confined to the uterus: Analysis of 43 clinical cases
Precise lymph node biopsy for endometrial cancer confined to the uterus: Analysis of 43 clinical cases Open
Precise SLN biopsy for EC confined to the uterus showed comparable LNM detection rate as systematic lymphadenectomy. EC location may be used to determine whether pelvic or para-aortic SLN sampling should be conducted for treatment.
View article: Fusion-Mamba for Cross-modality Object Detection
Fusion-Mamba for Cross-modality Object Detection Open
Cross-modality fusing complementary information from different modalities effectively improves object detection performance, making it more useful and robust for a wider range of applications. Existing fusion strategies combine different t…
View article: Impact of Alcian blue and periodic acid Schiff expression on the prognosis of gastric signet ring cell carcinoma
Impact of Alcian blue and periodic acid Schiff expression on the prognosis of gastric signet ring cell carcinoma Open
BACKGROUND The Alcian blue (AB) and periodic acid Schiff (PAS) stains are representative mucus markers in gastric signet ring cell carcinoma (SRCC). They are low-cost special staining methods used to detect acidic mucus and neutral mucus, …
View article: Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward
Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward Open
The challenges inherent in long-horizon tasks in robotics persist due to the typical inefficient exploration and sparse rewards in traditional reinforcement learning approaches. To address these challenges, we have developed a novel algori…
View article: Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention
Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention Open
Vision transformer has emerged as a new paradigm in computer vision, showing excellent performance while accompanied by expensive computational cost. Image token pruning is one of the main approaches for ViT compression, due to the facts t…
View article: NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition
NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition Open
Long-tailed visual recognition has received increasing attention in recent years. Due to the extremely imbalanced data distribution in long-tailed learning, the learning process shows great uncertainties. For example, the predictions of di…
View article: DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs Open
Neural architecture search (NAS) proves to be among the effective approaches for many tasks by generating an application-adaptive neural architecture, which is still challenged by high computational cost and memory consumption. At the same…
View article: Defending Black-Box Skeleton-Based Human Activity Classifiers
Defending Black-Box Skeleton-Based Human Activity Classifiers Open
Skeletal motions have been heavily relied upon for human activity recognition (HAR). Recently, a universal vulnerability of skeleton-based HAR has been identified across a variety of classifiers and data, calling for mitigation. To this en…
View article: FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing Open
The availability of handy multi-modal (i.e., RGB-D) sensors has brought about a surge of face anti-spoofing research. However, the current multi-modal face presentation attack detection (PAD) has two defects: (1) The framework based on mul…
View article: Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer Open
The recent detection transformer (DETR) has advanced object detection, but its application on resource-constrained devices requires massive computation and memory resources. Quantization stands out as a solution by representing the network…
View article: CHD1 deletion stabilizes HIF1α to promote angiogenesis and glycolysis in prostate cancer
CHD1 deletion stabilizes HIF1α to promote angiogenesis and glycolysis in prostate cancer Open
Chromodomain-helicase-DNA-binding protein 1 ( CHD1 ) deletion is among the most common mutations in prostate cancer (PCa), but its role remains unclear. In this study, RNA sequencing was conducted in PCa cells after clustered regularly int…
View article: Adaptive Feature Fusion Based Motion-Aware Architecture for Moving Object Segmentation
Adaptive Feature Fusion Based Motion-Aware Architecture for Moving Object Segmentation Open
View article: Adaptive Feature Fusion Based Motion-Aware Network For Moving Object Segmentation
Adaptive Feature Fusion Based Motion-Aware Network For Moving Object Segmentation Open
View article: Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition
Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition Open
Facial Expression Recognition (FER) in the wild is an extremely challenging\ntask. Recently, some Vision Transformers (ViT) have been explored for FER, but\nmost of them perform inferiorly compared to Convolutional Neural Networks\n(CNN). …