Keping Yu
Datos Biográficos
| ID | 4099651 |
|---|---|
| NOMBRE | Keping Yu |
| NOMBRES | Keping |
| APELLIDO | Yu |
| FIRMA | YU K |
| AFILIACIONES | Hosei University |
| ORCID | 0000-0001-5735-2507 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 20 |
| TOTAL DE CITAS | 3 |
| TOTAL COMO AUTOR | 19 |
| TOTAL COMO EDITOR | 1 |
| PRIMER AÑO DE PUBLICACIÓN | 2008 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
E-OptEEG
Electroencephalogram (EEG) signal processing is essential for achieving accurate and efficient real-time edge computing, particularly in resource-constrained smart wearables. They demand lightweight and optimized solutions for rapid analysis and decision-making. However, the higher dimensionality of EEG signals introduces challenges of latency and computational cost on edge devices. This article presents E-OptEEG, a hybrid ensemble metaheuristic …
An Adaptive Structural Balance Method Based on Reinforcement Learning for Signed Social Networks
The structural balance problem in signed social networks targets at detecting the unbalanced edges and minimizing the cost to make a network balanced. Current studies mainly focus on the cost difference between changing positive and negative edges, ignoring the influence from nodes’ neighbors on the cost to change unbalanced edges. In this article, we propose a novel structural balance model by considering the influences of the edge weights and r…
A Robust Aggregation of Federated Large Language Models for Multimodal Knowledge Discovery in Computational Social Systems
Amid a rapidly evolving information era, large-scale multimodal knowledge discovery in computational social systems emerges as a key research domain. Large language models (LLMs) play a crucial role in this field, providing contextual understanding and task adaptability. Yet, centralized training of LLM raises privacy concerns. Federated learning (FL) offers a distributed alternative, but it struggles with data heterogeneity and security issues r…
Influence Maximization in Sentiment Propagation With Multisearch Particle Swarm Optimization Algorithm
Sentiment propagation plays a crucial role in the continuous emergence of social public opinion and network group events. By analyzing the maximum Influence of sentiment propagation, we can gain a better understanding of how network group events arise and evolve. Influence maximization (IM) is a critical fundamental issue in the field of informatics, whose purpose is to identify the collection of individuals and maximize the specific information'…
A Web Knowledge-Driven Multimodal Retrieval Method in Computational Social Systems
Multimodal retrieval has received widespread consideration since it can commendably provide massive related data support for the development of computational social systems (CSSs). However, the existing works still face the following challenges: 1) rely on the tedious manual marking process when extended to CSS, which not only introduces subjective errors but also consumes abundant time and labor costs; 2) only using strongly aligned data for tra…
A Novel Fake News Detection Model for Context of Mixed Languages Through Multiscale Transformer
Fake news detection has been a more urgent technical demand for operators of online social platforms, and the prevalence of deep learning well boosts its development. From the model structure, existing research works can be categorized into three types: convolution filtering-based neural network approaches, sequential analysis-based neural network approaches, and attention mechanism-based neural network approaches. However, almost all of them wer…
Generative Steganography Based on Long Readable Text Generation
Text steganography has received a lot of attention in the application of covert communication. How to ensure desirable capacity and imperceptibility has become a key issue in text steganography. There are two typical approaches, i.e., text-selection-based steganography and text-generation-based steganography. However, the text-selection-based approaches generally have the very low hidden capacity and are not applicable in practical scenarios. Alt…
Rumors Suppression in Healthcare System
The rumors in the healthcare system have the attributes of fast spread and severe social influence. Even worse, it may cause the collapse of medical services and the death of many patients. To prevent its serious impact on society, the target of rumor suppression for the healthcare system is to restrain the spread of rumors (negative opinions) and maximize the spread of antirumors (positive opinions). Therefore, in this article, for the first tim…
A Privacy-Preserving Social Computing Framework for Health Management Using Federated Learning
Currently, health management driven by intelligent means is a general demand of social systems. Although a number of researchers have paid attention to such areas, they have primarily focused on improving the performance of intelligent algorithms. Such intelligent algorithms are mostly based on the central computing mode, where all the user data are aggregated together in a central cloud to implement computing tasks. This poses a great threat to …
Autonomous Behavioral Decision for Vehicular Agents Based on Cyber-Physical Social Intelligence
In future smart cities supported by cyber-physical social intelligence, autonomous behavioral decision for vehicular agents is going to become a general demand. Despite much progress achieved in autonomous behavioral decision of vehicular agents, the existing works can just be used in scenarios of short-distance behavioral decision. Naturally, they are not well suitable for long-distance behavioral decision tasks, posing much challenge in realist…
Smart assessment and forecasting framework for healthy development index in urban cities
Indoor temperature monitoring using wireless sensor networks
Democracy in China
"Authored by Professor Yu Keping, a famous Chinese political scholar, this book focuses on the core issues of democracy and the rule of law in China. It provides the readers with insights into China's political development in the past 60 years and the changes in China's governance in the past 30 years, especially pertaining to democracy in China's governance. The book encapsulates Prof Yu's reform ideas on political development in China, and give…
Learning, training, and governing
This article examines the current institutions, structure, function, and features of the CCP's cadre education and training system, with particular analysis of its significance and implication to improve the quality of CCP's cadres at different levels and to increase the CCP's capacity to govern the country. This article argues that as the sole ruling party controlling all core political power in China, the CCP's quality and capacity directly det…
Democracy in China
China's political development
An Essay on Officialism (Guanben Zhuyi)
Democracy and the Rule of Law in China
Democracy and the Rule of Law in China is intended to make available to English-language readers debates among prominent Chinese intellectuals and academics over issues of political, constitutional, and legal reform; modes of governance in urban and rural China; and culture and cultural policy. China’s unprecedented economic development following the implementation of the Reform and Opening policy has drawn widespread international attention; yet…
Globalization and Changes in China's Governance
[China’s structure of governance has also been substantially altered in response to globalization. A unique model of political development is underway in China, which differs considerably from those conceived under both traditional socialist and liberal Western models. This volume tackles these issues of global importance through the analytical prowess of one of China’s leading intellectuals. , China’s structure of governance has also been substa…
The Developmental Logic of Chinese Culture under Modernization and Globalization
Unless otherwise indicated, all translations are my own
Learning, training, and governing
This article examines the current institutions, structure, function, and features of the CCP's cadre education and training system, with particular analysis of its significance and implication to improve the quality of CCP's cadres at different levels and to increase the CCP's capacity to govern the country. This article argues that as the sole ruling party controlling all core political power in China, the CCP's quality and capacity directly det…
The Developmental Logic of Chinese Culture under Modernization and Globalization
Unless otherwise indicated, all translations are my own
Globalization and Changes in China's Governance
[China’s structure of governance has also been substantially altered in response to globalization. A unique model of political development is underway in China, which differs considerably from those conceived under both traditional socialist and liberal Western models. This volume tackles these issues of global importance through the analytical prowess of one of China’s leading intellectuals. , China’s structure of governance has also been substa…
The Developmental Logic of Chinese Culture under Modernization and Globalization
Unless otherwise indicated, all translations are my own
Democracy and the Rule of Law in China
Democracy and the Rule of Law in China is intended to make available to English-language readers debates among prominent Chinese intellectuals and academics over issues of political, constitutional, and legal reform; modes of governance in urban and rural China; and culture and cultural policy. China’s unprecedented economic development following the implementation of the Reform and Opening policy has drawn widespread international attention; yet…
China's political development
An Essay on Officialism (Guanben Zhuyi)
Democracy in China
Democracy in China
"Authored by Professor Yu Keping, a famous Chinese political scholar, this book focuses on the core issues of democracy and the rule of law in China. It provides the readers with insights into China's political development in the past 60 years and the changes in China's governance in the past 30 years, especially pertaining to democracy in China's governance. The book encapsulates Prof Yu's reform ideas on political development in China, and give…
Learning, training, and governing
This article examines the current institutions, structure, function, and features of the CCP's cadre education and training system, with particular analysis of its significance and implication to improve the quality of CCP's cadres at different levels and to increase the CCP's capacity to govern the country. This article argues that as the sole ruling party controlling all core political power in China, the CCP's quality and capacity directly det…
Indoor temperature monitoring using wireless sensor networks
Smart assessment and forecasting framework for healthy development index in urban cities
Rumors Suppression in Healthcare System
The rumors in the healthcare system have the attributes of fast spread and severe social influence. Even worse, it may cause the collapse of medical services and the death of many patients. To prevent its serious impact on society, the target of rumor suppression for the healthcare system is to restrain the spread of rumors (negative opinions) and maximize the spread of antirumors (positive opinions). Therefore, in this article, for the first tim…
A Privacy-Preserving Social Computing Framework for Health Management Using Federated Learning
Currently, health management driven by intelligent means is a general demand of social systems. Although a number of researchers have paid attention to such areas, they have primarily focused on improving the performance of intelligent algorithms. Such intelligent algorithms are mostly based on the central computing mode, where all the user data are aggregated together in a central cloud to implement computing tasks. This poses a great threat to …
Autonomous Behavioral Decision for Vehicular Agents Based on Cyber-Physical Social Intelligence
In future smart cities supported by cyber-physical social intelligence, autonomous behavioral decision for vehicular agents is going to become a general demand. Despite much progress achieved in autonomous behavioral decision of vehicular agents, the existing works can just be used in scenarios of short-distance behavioral decision. Naturally, they are not well suitable for long-distance behavioral decision tasks, posing much challenge in realist…
A Web Knowledge-Driven Multimodal Retrieval Method in Computational Social Systems
Multimodal retrieval has received widespread consideration since it can commendably provide massive related data support for the development of computational social systems (CSSs). However, the existing works still face the following challenges: 1) rely on the tedious manual marking process when extended to CSS, which not only introduces subjective errors but also consumes abundant time and labor costs; 2) only using strongly aligned data for tra…
A Novel Fake News Detection Model for Context of Mixed Languages Through Multiscale Transformer
Fake news detection has been a more urgent technical demand for operators of online social platforms, and the prevalence of deep learning well boosts its development. From the model structure, existing research works can be categorized into three types: convolution filtering-based neural network approaches, sequential analysis-based neural network approaches, and attention mechanism-based neural network approaches. However, almost all of them wer…
Generative Steganography Based on Long Readable Text Generation
Text steganography has received a lot of attention in the application of covert communication. How to ensure desirable capacity and imperceptibility has become a key issue in text steganography. There are two typical approaches, i.e., text-selection-based steganography and text-generation-based steganography. However, the text-selection-based approaches generally have the very low hidden capacity and are not applicable in practical scenarios. Alt…
A Robust Aggregation of Federated Large Language Models for Multimodal Knowledge Discovery in Computational Social Systems
Amid a rapidly evolving information era, large-scale multimodal knowledge discovery in computational social systems emerges as a key research domain. Large language models (LLMs) play a crucial role in this field, providing contextual understanding and task adaptability. Yet, centralized training of LLM raises privacy concerns. Federated learning (FL) offers a distributed alternative, but it struggles with data heterogeneity and security issues r…
Influence Maximization in Sentiment Propagation With Multisearch Particle Swarm Optimization Algorithm
Sentiment propagation plays a crucial role in the continuous emergence of social public opinion and network group events. By analyzing the maximum Influence of sentiment propagation, we can gain a better understanding of how network group events arise and evolve. Influence maximization (IM) is a critical fundamental issue in the field of informatics, whose purpose is to identify the collection of individuals and maximize the specific information'…
E-OptEEG
Electroencephalogram (EEG) signal processing is essential for achieving accurate and efficient real-time edge computing, particularly in resource-constrained smart wearables. They demand lightweight and optimized solutions for rapid analysis and decision-making. However, the higher dimensionality of EEG signals introduces challenges of latency and computational cost on edge devices. This article presents E-OptEEG, a hybrid ensemble metaheuristic …
An Adaptive Structural Balance Method Based on Reinforcement Learning for Signed Social Networks
The structural balance problem in signed social networks targets at detecting the unbalanced edges and minimizing the cost to make a network balanced. Current studies mainly focus on the cost difference between changing positive and negative edges, ignoring the influence from nodes’ neighbors on the cost to change unbalanced edges. In this article, we propose a novel structural balance model by considering the influences of the edge weights and r…
Computer Science (11 obras) · Artificial Intelligence (8 obras) · Political science (8 obras) · China (6 obras) · Law (6 obras) · Politics (5 obras) · China's Socioeconomic Reforms and Governance (4 obras) · Chinese history and philosophy (4 obras) · Democracy (4 obras) · Economics (4 obras)