Siyuan Liu
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View article: Dynamic Mutual Adversarial Learning for Semi-supervised Semantic Segmentation of Underwater Images with Limited and Noisy Annotations
Dynamic Mutual Adversarial Learning for Semi-supervised Semantic Segmentation of Underwater Images with Limited and Noisy Annotations Open
Swift and accurate semantic segmentation of underwater images is key for precise object recognition in complex underwater environment. Nonetheless, the inherent complexity of these environments and the limited availability of labeled data …
View article: Towards Mitigation of Hallucination for LLM-Empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor
Towards Mitigation of Hallucination for LLM-Empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor Open
Empowered by large language models (LLMs), intelligent agents have become a popular paradigm for interacting with open environments to facilitate AI deployment. However, hallucinations generated by LLMs—where outputs are inconsistent with …
View article: H1.07Ti1.73O4-Derived Porous Plate-like TiO2 as High-Performance Bifunctional Anodes for Lithium- and Sodium-Ion Batteries
H1.07Ti1.73O4-Derived Porous Plate-like TiO2 as High-Performance Bifunctional Anodes for Lithium- and Sodium-Ion Batteries Open
Porous plate-like anatase TiO2 particles were synthesized through a direct calcination approach using layered titanate H1.07Ti1.73O4 as a precursor. By controlling the calcination temperature (400 °C, 500 °C, and 600 °C), the morphology an…
View article: Fractionation of sex differences in human cortical anatomy
Fractionation of sex differences in human cortical anatomy Open
Humans show reproducible sex differences in regional cortical volume (CV), but it remains unclear how these arise from underlying sex-biases in the two biologically dissociable determinants of CV: surface area (SA) and cortical thickness (…
View article: EoML-SlideNet: A Lightweight Framework for Landslide Displacement Forecasting with Multi-Source Monitoring Data
EoML-SlideNet: A Lightweight Framework for Landslide Displacement Forecasting with Multi-Source Monitoring Data Open
The karst terrain of Guangxi, China, characterized by steep slopes and thin residual soils, is highly vulnerable to rainfall-induced shallow landslides. Timely and accurate displacement forecasting is critical for early warning and risk mi…
View article: Retraction of “Light-Triggered Cross-Linking of Linear Poly(ethylene glycol) Hydrogels for Enhanced Antibacterial Delivery”
Retraction of “Light-Triggered Cross-Linking of Linear Poly(ethylene glycol) Hydrogels for Enhanced Antibacterial Delivery” Open
View article: EMR-YOLO: A Multi-Scale Benthic Organism Detection Algorithm for Degraded Underwater Visual Features and Computationally Constrained Environments
EMR-YOLO: A Multi-Scale Benthic Organism Detection Algorithm for Degraded Underwater Visual Features and Computationally Constrained Environments Open
Marine benthic organism detection (BOD) is essential for underwater robotics and seabed resource management but suffers from motion blur, perspective distortion, and background clutter in dynamic underwater environments. To address visual …
View article: Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor
Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor Open
Empowered by large language models (LLMs), intelligent agents have become a popular paradigm for interacting with open environments to facilitate AI deployment. However, hallucinations generated by LLMs-where outputs are inconsistent with …
View article: Spatiotemporal rendering for dynamic sensation reproduction via electrostatic-enhanced vibro-haptic interface
Spatiotemporal rendering for dynamic sensation reproduction via electrostatic-enhanced vibro-haptic interface Open
View article: Semi-Supervised Fault Diagnosis Method for Hydraulic Pumps Based on Data Augmentation Consistency Regularization
Semi-Supervised Fault Diagnosis Method for Hydraulic Pumps Based on Data Augmentation Consistency Regularization Open
Due to the scarcity of labeled samples, the practical engineering application of deep learning-based hydraulic pump fault diagnosis methods is extremely challenging. This study proposes a semi-supervised learning method based on data augme…
View article: Structural Diversity in Hybrid Binary Superlattices Coassembled From Colloidal Nanocrystals and Submicrometer Colloids
Structural Diversity in Hybrid Binary Superlattices Coassembled From Colloidal Nanocrystals and Submicrometer Colloids Open
Integrating nanocrystals (NCs) and submicrometer colloids, such as SiO 2 , to construct hybrid superlattices presents significant scientific and practical opportunities, yet their ordered coassembly is challenged by inherent colloidal inco…
View article: Signature of Topological Surface Bands in Altermagnetic Weyl Semimetal CrSb
Signature of Topological Surface Bands in Altermagnetic Weyl Semimetal CrSb Open
As a special type of collinear antiferromagnetism (AFM), altermagnetism has garnered significant research interest recently. Altermagnets exhibit broken parity-time symmetry and zero net magnetization, leading to substantial band splitting…
View article: Single-cell and spatial transcriptomic analyses revealing tumor microenvironment remodeling after neoadjuvant chemoimmunotherapy in non-small cell lung cancer
Single-cell and spatial transcriptomic analyses revealing tumor microenvironment remodeling after neoadjuvant chemoimmunotherapy in non-small cell lung cancer Open
View article: Mechanical Response and Microstructure Evolution of TA1 Titanium Under Normal Ultrasonic Vibration Processing
Mechanical Response and Microstructure Evolution of TA1 Titanium Under Normal Ultrasonic Vibration Processing Open
Ultrasonic vibration (UV) has been employed in various plastic forming processes due to its special effect known as acoustoplasticity. Mostly, UV is applied along the longitudinal direction in experimental investigations. However, very few…
View article: Risk factor analysis and creation of an externally-validated prediction model for perioperative stroke following non-cardiac surgery: A multi-center retrospective and modeling study
Risk factor analysis and creation of an externally-validated prediction model for perioperative stroke following non-cardiac surgery: A multi-center retrospective and modeling study Open
Background Perioperative stroke is a serious and potentially fatal complication following non-cardiac surgery. Thus, it is important to identify the risk factors and develop an effective prognostic model to predict the incidence of periope…
View article: Pedestrian decision-making uncertainty in urgent scenarios modulates multi-level, neural hierarchies
Pedestrian decision-making uncertainty in urgent scenarios modulates multi-level, neural hierarchies Open
View article: Low Carbon Economic Scheduling of Wind-Solar-Hydrogen Integrated Multi-Energy Supply Virtual Power Plant in Combined Energy and Reserve Service Markets
Low Carbon Economic Scheduling of Wind-Solar-Hydrogen Integrated Multi-Energy Supply Virtual Power Plant in Combined Energy and Reserve Service Markets Open
View article: The Association Between Aspartate Transaminase to Alanine Transaminase Ratio and Perioperative Ischemic Stroke in Patients With Diabetes: A Retrospective Cohort Study
The Association Between Aspartate Transaminase to Alanine Transaminase Ratio and Perioperative Ischemic Stroke in Patients With Diabetes: A Retrospective Cohort Study Open
Background Patients with diabetes are at a high risk for perioperative ischemic stroke (PIS). The use of biomarkers to identify high‐risk patients and predict PIS may provide considerable reference value in clinical decision‐making. The as…
View article: Anatomy-to-Tract Mapping Infers White Matter Pathways Without Diffusion Streamline Propagation
Anatomy-to-Tract Mapping Infers White Matter Pathways Without Diffusion Streamline Propagation Open
Diffusion tractography, a cornerstone of white matter mapping, relies on point-to-point stream-line propagation—a process often compromised by errors stemming from inadequate signal-to-noise ratio and limited spatioangular resolution in di…
View article: Blade Vibration Difference-Based Circumferential Fourier Fitting Algorithm for Synchronous Vibration Parameter Identification of Rotation Blades
Blade Vibration Difference-Based Circumferential Fourier Fitting Algorithm for Synchronous Vibration Parameter Identification of Rotation Blades Open
Blades are the core components of rotating machinery, and the blade vibration status directly impacts the working efficiency and safe operation of the equipment. The blade tip timing (BTT) technique provides a solution for blade vibration …
View article: Observation of surface Fermi arcs in altermagnetic Weyl semimetal CrSb
Observation of surface Fermi arcs in altermagnetic Weyl semimetal CrSb Open
As a special type of collinear antiferromagnetism (AFM), altermagnetism has garnered significant research interest recently. Altermagnets exhibit broken parity-time symmetry and zero net magnetization in real space, leading to substantial …
View article: A Self-Attention Legendre Graph Convolution Network for Rotating Machinery Fault Diagnosis
A Self-Attention Legendre Graph Convolution Network for Rotating Machinery Fault Diagnosis Open
Rotating machinery is widely used in modern industrial systems, and its health status can directly impact the operation of the entire system. Timely and accurate diagnosis of rotating machinery faults is crucial for ensuring production saf…
View article: Observation of surface Fermi arcs in altermagnetic Weyl semimetal CrSb
Observation of surface Fermi arcs in altermagnetic Weyl semimetal CrSb Open
As a special type of collinear antiferromagnetism (AFM), altermagnetism has garnered significant research interest recently. Altermagnets exhibit broken parity-time symmetry and zero net magnetization in real space, leading to substantial …
View article: pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation Open
In medical image segmentation, personalized cross-silo federated learning (FL) is becoming popular for utilizing varied data across healthcare settings to overcome data scarcity and privacy concerns. However, existing methods often suffer …
View article: Bond Strength Evaluation of FRP–Concrete Interfaces Affected by Hygrothermal and Salt Attack Using Improved Meta-Learning Neural Network
Bond Strength Evaluation of FRP–Concrete Interfaces Affected by Hygrothermal and Salt Attack Using Improved Meta-Learning Neural Network Open
Fiber-reinforced polymer (FRP) laminates are popular in the strengthening of concrete structures, but the durability of the strengthened structures is of great concern. Due to the susceptibility of the epoxy resin used for bonding and the …
View article: The Fault Diagnosis of a Plunger Pump Based on the SMOTE + Tomek Link and Dual-Channel Feature Fusion
The Fault Diagnosis of a Plunger Pump Based on the SMOTE + Tomek Link and Dual-Channel Feature Fusion Open
Mechanical condition monitoring data in real engineering are often severely unbalanced, which can lead to a decrease in the stability and accuracy of intelligent diagnosis methods. In this paper, a fault diagnosis method based on the SMOTE…
View article: Correction: Triglyceride-glucose index predicts postoperative delirium in elderly patients with type 2 diabetes mellitus: a retrospective cohort study
Correction: Triglyceride-glucose index predicts postoperative delirium in elderly patients with type 2 diabetes mellitus: a retrospective cohort study Open
View article: Triglyceride-glucose index predicts postoperative delirium in elderly patients with type 2 diabetes mellitus: a retrospective cohort study
Triglyceride-glucose index predicts postoperative delirium in elderly patients with type 2 diabetes mellitus: a retrospective cohort study Open
View article: Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction Open
Predicting the mean-field Hamiltonian matrix in density functional theory is a fundamental formulation to leverage machine learning for solving molecular science problems. Yet, its applicability is limited by insufficient labeled data for …
View article: Pathogenesis Analysis of Idiopathic Macular Hole Based on Proteomic Approach
Pathogenesis Analysis of Idiopathic Macular Hole Based on Proteomic Approach Open
Background: Idiopathic macular hole (IMH) severely impairs patients' vision and quality of life, and its pathogenesis is still unclear . We applied a proteomic approach to analyze the pathogenesis of IMH to promote the diagnosis and treatm…