Huimin Lu
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View article: Breaking the light extraction limit in AlGaN-based deep-UV LEDs via AI-optimized mesa-sidewall nanoscale reflective structures
Breaking the light extraction limit in AlGaN-based deep-UV LEDs via AI-optimized mesa-sidewall nanoscale reflective structures Open
A mesa-sidewall nanoscale reflective structure was introduced on the p-GaN surface of flip-chip deep-ultraviolet light-emitting diodes (DUV-LEDs) to enhance the light extraction efficiency (LEE). In contrast to conventional planar reflecto…
View article: Dynamic coding network for robust fruit detection in low-visibility agricultural scenes
Dynamic coding network for robust fruit detection in low-visibility agricultural scenes Open
Introduction Accurate fruit detection under low-visibility conditions such as fog, rain, and low illumination is crucial for intelligent orchard management and robotic harvesting. However, most existing detection models experience signific…
View article: Efficacy and safety of GLP-1 receptor agonists in the treatment of obese patients with chronic heart failure: a meta-analysis
Efficacy and safety of GLP-1 receptor agonists in the treatment of obese patients with chronic heart failure: a meta-analysis Open
Objective To investigate the efficacy and safety of Glucagon-Like Peptide-1 Receptor Agonists(GLP-1RAs) (Liraglutide, Semaglutide, Exenatide, Dulaglutide, Lixisenatide, and Tirzepatide) in obese patients with chronic heart failure (CHF). M…
View article: Underwater Optical Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future
Underwater Optical Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future Open
Underwater optical object detection (UOD), aiming at identifying and localising objects in underwater optical images or videos, presents significant challenges due to the optical distortion, water turbidity, and changing illumination in un…
View article: Breaking boundaries in ankylosing spondylitis: how innovative cell therapies reshape immunity, drive cutting-edge advances, and face future challenges
Breaking boundaries in ankylosing spondylitis: how innovative cell therapies reshape immunity, drive cutting-edge advances, and face future challenges Open
Ankylosing spondylitis (AS) is a chronic autoimmune inflammatory disease primarily affecting the axial skeleton, characterized by joint erosion and ankylosis. AS significantly impacts quality of life, work capacity and mental health throug…
View article: Genomic insights into blaAFM-positive carbapenem-resistant Pseudomonas aeruginosa in China
Genomic insights into blaAFM-positive carbapenem-resistant Pseudomonas aeruginosa in China Open
Carbapenem-resistant Pseudomonas aeruginosa (CRPA) poses a global threat; however, the epidemiological characteristics and clinical significance of bla AFM -positive CRPA strains in China remain unclear. In this study, continuous surveilla…
View article: Image-Goal Navigation Using Refined Feature Guidance and Scene Graph Enhancement
Image-Goal Navigation Using Refined Feature Guidance and Scene Graph Enhancement Open
In this paper, we introduce a novel image-goal navigation approach, named RFSG. Our focus lies in leveraging the fine-grained connections between goals, observations, and the environment within limited image data, all the while keeping the…
View article: LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the Lunar
LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the Lunar Open
As lunar exploration missions grow increasingly complex, ensuring safe and autonomous rover-based surface exploration has become one of the key challenges in lunar exploration tasks. In this work, we have developed a lunar surface simulati…
View article: A glance over the past decade: road scene parsing towards safe and comfortable autonomous driving
A glance over the past decade: road scene parsing towards safe and comfortable autonomous driving Open
Road scene parsing is a crucial capability for self-driving vehicles and intelligent road inspection systems. Recent research has increasingly focused on enhancing driving safety and comfort by improving the detection of both drivable area…
View article: HI-GVF: Shared Control based on Human-Influenced Guiding Vector Fields for Human-multi-robot Cooperation
HI-GVF: Shared Control based on Human-Influenced Guiding Vector Fields for Human-multi-robot Cooperation Open
Human-multi-robot shared control leverages human decision-making and robotic autonomy to enhance human-robot collaboration. While widely studied, existing systems often adopt a leader-follower model, limiting robot autonomy to some extent.…
View article: Probabilistic Temporal Masked Attention for Cross-View Online Action Detection
Probabilistic Temporal Masked Attention for Cross-View Online Action Detection Open
As a critical task in video sequence classification within computer vision, Online Action Detection (OAD) has garnered significant attention. The sensitivity of mainstream OAD models to varying video viewpoints often hampers their generali…
View article: Consensus-Based Dynamic Task Allocation for Multi-Robot System\n Considering Payloads Consumption
Consensus-Based Dynamic Task Allocation for Multi-Robot System\n Considering Payloads Consumption Open
This paper presents a consensus-based payload algorithm (CBPA) to deal with\nthe condition of robots' capability decrease for multi-robot task allocation.\nDuring the execution of complex tasks, robots' capabilities could decrease with\nth…
View article: Association between 25(OH) vitamin D and multiple sclerosis: cohort, shared genetics, and Causality
Association between 25(OH) vitamin D and multiple sclerosis: cohort, shared genetics, and Causality Open
This study reveals the complex relationship between 25OHD levels and MS, indicating that higher levels are not always advantageous and recommending moderation in supplementation. We identified SMARCA4 as a potential therapeutic target and …
View article: sEMG-based Gesture-Free Hand Intention Recognition: System, Dataset, Toolbox, and Benchmark Results
sEMG-based Gesture-Free Hand Intention Recognition: System, Dataset, Toolbox, and Benchmark Results Open
In sensitive scenarios, such as meetings, negotiations, and team sports, messages must be conveyed without detection by non-collaborators. Previous methods, such as encrypting messages, eye contact, and micro-gestures, had problems with ei…
View article: SPF-EMPC Planner: A real-time multi-robot trajectory planner for complex environments with uncertainties
SPF-EMPC Planner: A real-time multi-robot trajectory planner for complex environments with uncertainties Open
In practical applications, the unpredictable movement of obstacles and the imprecise state observation of robots introduce significant uncertainties for the swarm of robots, especially in cluster environments. However, existing methods are…
View article: Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future
Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future Open
Underwater object detection (UOD), aiming to identify and localise the objects in underwater images or videos, presents significant challenges due to the optical distortion, water turbidity, and changing illumination in underwater scenes. …
View article: A Comprehensive Benefit Evaluation of the Model of Salt-Tolerant Crops Irrigated by Mariculture Wastewater Based on a Field Plot Experiment
A Comprehensive Benefit Evaluation of the Model of Salt-Tolerant Crops Irrigated by Mariculture Wastewater Based on a Field Plot Experiment Open
The intensified development of aquaculture and excessive use of agricultural fertilizers pose a threat to natural resource availability and deteriorate the environment. Utilizing aquaculture wastewater from mariculture for agricultural irr…
View article: NeuroVE: Brain-inspired Linear-Angular Velocity Estimation with Spiking Neural Networks
NeuroVE: Brain-inspired Linear-Angular Velocity Estimation with Spiking Neural Networks Open
Vision-based ego-velocity estimation is a fundamental problem in robot state estimation. However, the constraints of frame-based cameras, including motion blur and insufficient frame rates in dynamic settings, readily lead to the failure o…
View article: DVRP-MHSI: Dynamic Visualization Research Platform for Multimodal Human-Swarm Interaction
DVRP-MHSI: Dynamic Visualization Research Platform for Multimodal Human-Swarm Interaction Open
In recent years, there has been a significant amount of research on algorithms and control methods for distributed collaborative robots. However, the emergence of collective behavior in a swarm is still difficult to predict and control. Ne…
View article: SGLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM
SGLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM Open
Loop closing is a crucial component in SLAM that helps eliminate accumulated errors through two main steps: loop detection and loop pose correction. The first step determines whether loop closing should be performed, while the second estim…
View article: SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud Open
4D LiDAR semantic segmentation, also referred to as multi-scan semantic segmentation, plays a crucial role in enhancing the environmental understanding capabilities of autonomous vehicles or robots. It classifies the semantic category of e…
View article: User Experience in Virtual Environments
User Experience in Virtual Environments Open
This Special Issue offers a comprehensive examination of extended reality (XR) technologies across various contexts and domains [...]
View article: Bidirectional Two-Sample Mendelian Randomization Study of Immunoglobulin G N-Glycosylation and Senescence-Associated Secretory Phenotype
Bidirectional Two-Sample Mendelian Randomization Study of Immunoglobulin G N-Glycosylation and Senescence-Associated Secretory Phenotype Open
Observational studies revealed changes in Immunoglobulin G (IgG) N-glycosylation during the aging process. However, it lacks causal insights and remains unclear in which direction causal relationships exist. The two-sample bidirectional Me…
View article: Metabolic Traits and Risk of Ischemic Stroke in Japanese and European Populations: A Two-Sample Mendelian Randomization Study
Metabolic Traits and Risk of Ischemic Stroke in Japanese and European Populations: A Two-Sample Mendelian Randomization Study Open
The role of metabolic traits in ischemic stroke (IS) has been explored through observational studies and a few Mendelian randomization (MR) studies employing limited methods in European populations. This study aimed to investigate the caus…