Jinhu Lü
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View article: Virtual presence and tourist behavior in the metaverse: A systematic literature review, bibliometric analysis, and future research agenda
Virtual presence and tourist behavior in the metaverse: A systematic literature review, bibliometric analysis, and future research agenda Open
The concept of tourist behavior in the Metaverse has recently gained academic attention, which has resulted in the growth of worldwide publications. This study reviews 16 years of research on this topic by applying Bibliometric and content…
View article: Memory in Large Language Models: Mechanisms, Evaluation and Evolution
Memory in Large Language Models: Mechanisms, Evaluation and Evolution Open
Under a unified operational definition, we define LLM memory as a persistent state written during pretraining, finetuning, or inference that can later be addressed and that stably influences outputs. We propose a four-part taxonomy (parame…
View article: Therapeutic potential of traditional Chinese medicine for inflammatory bone diseases: Elucidating molecular mechanisms and insights
Therapeutic potential of traditional Chinese medicine for inflammatory bone diseases: Elucidating molecular mechanisms and insights Open
Inflammatory bone diseases constitute a category of chronic inflammatory disorders, with the primary pathological characteristic being the impact of chronic inflammation on bone metabolism and remodeling. It leads to pain, spinal joint def…
View article: Exploring DNA topoisomerase II alpha in adrenocortical carcinoma through multi-omics analysis: a potential biomarker and therapeutic targetTOP2A in ACC
Exploring DNA topoisomerase II alpha in adrenocortical carcinoma through multi-omics analysis: a potential biomarker and therapeutic targetTOP2A in ACC Open
Adrenocortical carcinoma (ACC) is a rare but aggressive cancer. Recent studies identified DNA Topoisomerase II Alpha (TOP2A) as a potential biomarker for ACC, which can provide new avenues for targeted therapy and improve clinical outcomes…
View article: Parallax-free panoramic X-ray imaging combined with minimally invasive plate osteosynthesis for treating proximal humeral shaft fractures
Parallax-free panoramic X-ray imaging combined with minimally invasive plate osteosynthesis for treating proximal humeral shaft fractures Open
BACKGROUND The objective of this study was to evaluate the use of combined parallax-free panoramic X-ray imaging during surgery by enabling the mobile C-arm with minimally invasive plate osteosynthesis (MIPO) in the management of proximal …
View article: A Novel No-Wash (Homogenous) High-Throughput Toxicity Assay on Primary Cells
A Novel No-Wash (Homogenous) High-Throughput Toxicity Assay on Primary Cells Open
Mitochondrial membrane potential (MMP) is a critical marker of mitochondrial and, therefore, cellular function. However, current dyes used for MMP measurement possess significant limitations: nonspecific targeting, long incubation times, p…
View article: Bidirectional Task-Motion Planning Based on Hierarchical Reinforcement Learning for Strategic Confrontation
Bidirectional Task-Motion Planning Based on Hierarchical Reinforcement Learning for Strategic Confrontation Open
In swarm robotics, confrontation scenarios, including strategic confrontations, require efficient decision-making that integrates discrete commands and continuous actions. Traditional task and motion planning methods separate decision-maki…
View article: Mechanisms and challenges of mesenchymal stem cells in the treatment of knee osteoarthritis
Mechanisms and challenges of mesenchymal stem cells in the treatment of knee osteoarthritis Open
In this editorial, we comment on the recent article by Xiao et al, focusing on their investigation into whether the therapeutic efficacy of serum-free human umbilical cord mesenchymal stem cells (MSCs) differs from that of serum-containing…
View article: HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems
HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems Open
Graph neural networks (GNNs) have shown promising performance in solving both Boolean satisfiability (SAT) and Maximum Satisfiability (MaxSAT) problems due to their ability to efficiently model and capture the structural dependencies betwe…
View article: Data‐Driven Information Perception for Complex Industrial Networks of Service Based on Hierarchical Interactive Graph Variational Inference
Data‐Driven Information Perception for Complex Industrial Networks of Service Based on Hierarchical Interactive Graph Variational Inference Open
This article proposes a hierarchical interactive graph variational inference (HI‐GVI) approach to solve the data‐driven information perception problem in complex industrial networks of service. In the HI‐GVI approach, a multi‐layer latent …
View article: Coalescence of multiple topological orders in quasi-one-dimensional bismuth halide chains
Coalescence of multiple topological orders in quasi-one-dimensional bismuth halide chains Open
Topology is being widely adopted to understand and to categorize quantum matter in modern physics. The nexus of topology orders, which engenders distinct quantum phases with benefits to both fundamental research and practical applications …
View article: Research on an LSTM-PID Temperature Control Method With Adaptive Parameter Tuning Incorporating Load Forecasting
Research on an LSTM-PID Temperature Control Method With Adaptive Parameter Tuning Incorporating Load Forecasting Open
Temperature control systems subjected to random disturbances present significant challenges in maintaining stability and precision. Conventional fixed-parameter proportional–integral–derivative (PID) controllers often suffer from low accur…
View article: Time-Delay Estimation for Pulsar Navigation Based on Peak–Trough Amplitude and Rayleigh Entropy
Time-Delay Estimation for Pulsar Navigation Based on Peak–Trough Amplitude and Rayleigh Entropy Open
In response to the higher requirements of pulsar navigation performance for deep space exploration and remote sensing missions (such as Earth–Moon navigation and space observation), this article proposes a time-delay estimation for pulsar …
View article: Event‐Triggered Based Differential Privacy Distributed Optimization
Event‐Triggered Based Differential Privacy Distributed Optimization Open
Distributed optimization has emerged as a pivotal research area with widespread applications in machine learning and networked systems. While optimization algorithms efficiently collaborate to minimize a global objective function through i…
View article: Relative Pose Estimation for Nonholonomic Robot Formation with UWB-IO Measurements (Extended version)
Relative Pose Estimation for Nonholonomic Robot Formation with UWB-IO Measurements (Extended version) Open
This article studies the problem of distributed formation control for multiple robots by using onboard ultra wide band (UWB) distance and inertial odometer (IO) measurements. Although this problem has been widely studied, a fundamental lim…
View article: Distributed Formation Shape Control of Identity-less Robot Swarms
Distributed Formation Shape Control of Identity-less Robot Swarms Open
Different from most of the formation strategies where robots require unique labels to identify topological neighbors to satisfy the predefined shape constraints, we here study the problem of identity-less distributed shape formation in hom…
View article: Concurrent-Learning Based Relative Localization in Shape Formation of Robot Swarms (Extended version)
Concurrent-Learning Based Relative Localization in Shape Formation of Robot Swarms (Extended version) Open
In this paper, we address the shape formation problem for massive robot swarms in environments where external localization systems are unavailable. Achieving this task effectively with solely onboard measurements is still scarcely explored…
View article: Multiplayer hierarchical decision‐making for discrete‐time nonlinear networks of service via value iteration adaptive dynamic programming
Multiplayer hierarchical decision‐making for discrete‐time nonlinear networks of service via value iteration adaptive dynamic programming Open
In this article, the multiplayer hierarchical decision‐making problem for discrete‐time nonlinear networks of service is studied from the perspective of Nash–Stackelberg–Nash games. A novel two‐level value iteration adaptive dynamic progra…
View article: Optimal Adaptive Control of Linear Stochastic Systems with Quadratic Cost Function
Optimal Adaptive Control of Linear Stochastic Systems with Quadratic Cost Function Open
In this paper, we consider the adaptive linear quadratic Gaussian control problem, where both the linear transformation matrix of the state $A$ and the control gain matrix $B$ are unknown. The proposed adaptive optimal control only assumes…
View article: Pinning synchronization of a complex network: Nodes, edges and higher-order edges
Pinning synchronization of a complex network: Nodes, edges and higher-order edges Open
In recent years, the interdisciplinary study of complex networks has become increasingly important in fields ranging from biology and physics to sociology and mathematics. This paper focuses on pinning control, an approach essential for ac…
View article: Adaptive Safety with Control Barrier Functions and Triggered Batch Least-Squares Identifier
Adaptive Safety with Control Barrier Functions and Triggered Batch Least-Squares Identifier Open
In this paper, a triggered Batch Least-Squares Identifier (BaLSI) based adaptive safety control scheme is proposed for uncertain systems with potentially conflicting control objectives and safety constraints. A relaxation term is added to …
View article: Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty
Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty Open
In swarm robotics, confrontation including the pursuit-evasion game is a key scenario. High uncertainty caused by unknown opponents' strategies, dynamic obstacles, and insufficient training complicates the action space into a hybrid decisi…
View article: A Quantum Spatial Graph Convolutional Neural Network Model on Quantum Circuits
A Quantum Spatial Graph Convolutional Neural Network Model on Quantum Circuits Open
This article proposes a quantum spatial graph convolutional neural network (QSGCN) model that is implementable on quantum circuits, providing a novel avenue to processing non-Euclidean type data based on the state-of-the-art parameterized …
View article: Enhancing predictive accuracy in social contagion dynamics via directed hypergraph structures
Enhancing predictive accuracy in social contagion dynamics via directed hypergraph structures Open
Evidence from both theoretical and empirical studies suggests that higher-order networks have emerged as powerful tools for modeling social contagions, such as opinion formation. In this article, we develop a model of social contagion on d…