Yunpeng Xiao
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View article: Incorporating flexibility and resilience demand into capacity market considering the guidance on generation investment
Incorporating flexibility and resilience demand into capacity market considering the guidance on generation investment Open
The capacity market provides economic guidance for generation investment and ensures the adequacy of generation capability for power systems. With the rapidly increasing proportion of renewable energy, the adequacy of flexibility and resil…
View article: Temperature-Dependent Performance of Thermally Oxidized Zr2.5Nb Alloy for Orthopedic Implants: Mechanical Properties, Wear Resistance, and Biocompatibility
Temperature-Dependent Performance of Thermally Oxidized Zr2.5Nb Alloy for Orthopedic Implants: Mechanical Properties, Wear Resistance, and Biocompatibility Open
This study investigates the critical influence of oxidation temperature on the intrinsic characteristics and surface properties of thermally oxidized Zr2.5Nb alloy. The resulting oxide layers were characterized by scanning electron microsc…
View article: A Pattern-Driven Information Diffusion Prediction Model Based on Multisource Resonance and Cognitive Adaptation
A Pattern-Driven Information Diffusion Prediction Model Based on Multisource Resonance and Cognitive Adaptation Open
View article: Low-Carbon Economic Model of Multi-Energy Microgrid in a Park Considering the Joint Operation of a Carbon Capture Power Plant, Cooling, Heating, and Power System, and Power-to-Gas Equipment
Low-Carbon Economic Model of Multi-Energy Microgrid in a Park Considering the Joint Operation of a Carbon Capture Power Plant, Cooling, Heating, and Power System, and Power-to-Gas Equipment Open
Multi-energy microgrids (MEMs) can achieve efficient and low-carbon energy utilization by relying on the coordination, complementarity, and coupling conversion of different energy sources, which is of great significance for new energy cons…
View article: Dynamics of a switched predator–prey breeding management model with impulsive nonlinear releasing and age-selective harvesting predator
Dynamics of a switched predator–prey breeding management model with impulsive nonlinear releasing and age-selective harvesting predator Open
View article: Dynamics of Predator-Prey Model with Fear Factor and Impulsive Nonlinear Effects
Dynamics of Predator-Prey Model with Fear Factor and Impulsive Nonlinear Effects Open
In this article, we establish a predator–prey model with fear factor and impulsive nonlinear effects. The globally asymptotically stable conditions for the pest extinction periodic solution and the permanence condition of the formulated mo…
View article: Dynamics of an Impulsive Predator–Prey Model with a Seasonally Mass Migrating Prey Population
Dynamics of an Impulsive Predator–Prey Model with a Seasonally Mass Migrating Prey Population Open
Seasonality is a complex force in nature that affects multiple processes in wild animal populations. Animal mass migration refers to the migration of a large number of animals from a certain distance due to breeding, foraging, climate chan…
View article: A Split-Window Transformer for Multi-Model Sequence Spammer Detection using Multi-Model Variational Autoencoder
A Split-Window Transformer for Multi-Model Sequence Spammer Detection using Multi-Model Variational Autoencoder Open
This paper introduces a new Transformer, called MS$^2$Dformer, that can be used as a generalized backbone for multi-modal sequence spammer detection. Spammer detection is a complex multi-modal task, thus the challenges of applying Transfor…
View article: Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding
Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding Open
Natural language understanding (NLU) is a task that enables machines to understand human language. Some tasks, such as stance detection and sentiment analysis, are closely related to individual subjective perspectives, thus termed individu…
View article: E-commerce Recommendation System Model Optimized for Fake Review Detection Based on Behavior-Emotion-Semantics
E-commerce Recommendation System Model Optimized for Fake Review Detection Based on Behavior-Emotion-Semantics Open
View article: Multi-Message Iterative Propagation Model Based on Explicit-Implicit Feature Mining
Multi-Message Iterative Propagation Model Based on Explicit-Implicit Feature Mining Open
View article: A Stackelberg Game-Based Optimal Scheduling Model for Multi-Microgrid Systems Considering Photovoltaic Consumption and Integrated Demand Response
A Stackelberg Game-Based Optimal Scheduling Model for Multi-Microgrid Systems Considering Photovoltaic Consumption and Integrated Demand Response Open
To enhance the interests of all stakeholders in the multi-microgrid integrated energy system and to promote photovoltaic consumption, this paper proposes a master–slave game operation optimization strategy for a multi-microgrid system cons…
View article: A Stackelberg Game Based Optimal Scheduling Model for Multi-Microgrid System Considering Photovoltaic Consumption and Integrated Demand Response
A Stackelberg Game Based Optimal Scheduling Model for Multi-Microgrid System Considering Photovoltaic Consumption and Integrated Demand Response Open
To enhance the interests of all stakeholders in the multi-microgrid integrated energy system and to promote photovoltaic consumption, this paper proposes a master-slave game operation optimization strategy for a multi-microgrid system cons…
View article: Two‐stage stochastic energy and reserve market clearing model considering real‐time offering strategy of renewable energy
Two‐stage stochastic energy and reserve market clearing model considering real‐time offering strategy of renewable energy Open
With the introduction of decarbonization policies worldwide, renewable energy, especially wind and solar power, is gradually taking a significant share in the power system. The two‐stage stochastic optimization methods are generally adopte…
View article: Twisted Rota-Baxter family operators on Hom-associative algebras
Twisted Rota-Baxter family operators on Hom-associative algebras Open
In this paper, we first define twisted Rota-Baxter family operators on Hom-associative algebras indexed by a semigroup $Ω$. Then we introduce and study Hom-NS-family algebras as the underlying structures of twisted Rota-Baxter family opera…
View article: Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems Open
Federated recommender systems have been crucially enhanced through data sharing and continuous model updates, attributed to the pervasive connectivity and distributed computing capabilities of Internet of Things (IoT) devices. Given the se…
View article: Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning
Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning Open
In recent years, the neural network backdoor hidden in the parameters of the federated learning model has been proved to have great security risks. Considering the characteristics of trigger generation, data poisoning and model training in…
View article: Generalized Reynolds Operators on Hom-Lie Triple Systems
Generalized Reynolds Operators on Hom-Lie Triple Systems Open
In this paper, we first introduce the notion of generalized Reynolds operators on Hom-Lie triple systems associated to a representation and a 3-cocycle. Then, we develop a cohomology of generalized Reynolds operators on Hom-Lie triple syst…
View article: Understanding the concerns and choices of public when using large language models for healthcare
Understanding the concerns and choices of public when using large language models for healthcare Open
Large language models (LLMs) have shown their potential in biomedical fields. However, how the public uses them for healthcare purposes such as medical Q\&A, self-diagnosis, and daily healthcare information seeking is under-investigated. T…
View article: Generalized Reynolds Operators on Hom-Lie Triple Systems
Generalized Reynolds Operators on Hom-Lie Triple Systems Open
Uchino first initiated the study of generalized Reynolds operators on associative algebras.
Recently, related research has become a hot topic. In this paper, we first introduce the notion of generalized Reynolds operators on Hom-Lie tripl…
View article: A Key User Discovery Model Based on Data Compensation And Representation Learning
A Key User Discovery Model Based on Data Compensation And Representation Learning Open
View article: Rumor Spreading Model Based on Emotional Characteristics And Influence
Rumor Spreading Model Based on Emotional Characteristics And Influence Open
View article: Representations and cohomologies of modified $ \lambda $-differential Hom-Lie algebras
Representations and cohomologies of modified $ \lambda $-differential Hom-Lie algebras Open
In this paper, we introduce the concept and representations of modified $ \lambda $-differential Hom-Lie algebras. We then develop the cohomology of modified $ \lambda $-differential Hom-Lie algebras with coefficients in a suitable represe…
View article: A Group Behavior Prediction Model Based on Data Enhancement and Complex Influence
A Group Behavior Prediction Model Based on Data Enhancement and Complex Influence Open
View article: "Centralized or Decentralized?": Concerns and Value Judgments of Stakeholders in the Non-Fungible Tokens (NFTs) Market
"Centralized or Decentralized?": Concerns and Value Judgments of Stakeholders in the Non-Fungible Tokens (NFTs) Market Open
Non-fungible tokens (NFTs) are decentralized digital tokens to represent the unique ownership of items. Recently, NFTs have been gaining popularity and at the same time bringing up issues, such as scams, racism, and sexism. Decentralizatio…
View article: A Model for Early Rumor Detection Base on Topic-Derived Domain Compensation and Multi-User Association
A Model for Early Rumor Detection Base on Topic-Derived Domain Compensation and Multi-User Association Open
View article: Road Network Pixelization: A Traffic Flow Imputation Method Based on Image Restoration Techniques
Road Network Pixelization: A Traffic Flow Imputation Method Based on Image Restoration Techniques Open
View article: Spatial-temporal upsampling graph convolutional network for daily long-term traffic speed prediction
Spatial-temporal upsampling graph convolutional network for daily long-term traffic speed prediction Open
The daily long-term traffic prediction is an important urban computing issue, and can give users a global insight into traffic. Accurate traffic prediction is conducive to rational route planning and efficient traffic resource allocation. …
View article: Utilizing deep neural networks to extract non-linearity as entities in PAM visible light communication with noise
Utilizing deep neural networks to extract non-linearity as entities in PAM visible light communication with noise Open
Herein, we propose a novel entity extraction neural network (EXNN) with a newly designed sampling convolution kernel approach and a deep learning-based structure to differentiate noise in visible light communication (VLC) systems. In parti…
View article: A malware propagation prediction model based on representation learning and graph convolutional networks
A malware propagation prediction model based on representation learning and graph convolutional networks Open
The traditional malware research is mainly based on its recognition and detection as a breakthrough point, without focusing on its propagation trends or predicting the subsequently infected nodes. The complexity of network structure, diver…