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检索条件"任意字段=19th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2024"

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19th ccf conference on computer supported cooperative work and social computing, chinesecscw 2024

19th CCF Conference on Computer Supported Cooperative Work a...

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19th ccf conference on computer supported cooperative work and social computing, chinesecscw 2024

ISBN: (纸本)9789819623754

the proceedings contain 70 papers. the special focus in this conference is on computer supported cooperative work and social computing. the topics include: Weakly Supervised Video Anomaly Detection Method Based on Multi-scale Feature Fusion and Contrastive Loss;heterogeneous Information Network Embedding Based on Adaptive Meta-Schema Considering Relation Distinction and Semantic Preservation;roleScan: Enhancing social Bot Detection Using social Role Vector;blockchain-Based Traffic Accident Evidence Management Scheme;statistical Analysis of Human Mobility in Online Communities;SFSGNN: Soft Feature Selection Graph Neural Network for Alleviating Data Sparsity in Click-through Rate Prediction;how Effective is the Shorts Transformation of Traditional Media? An Analysis from the Perspective of User-Generated Content;on the Prediction of Open Source Software Ecosystem Health Based on Time Series Analysis;knowledge Graph-Enhanced Session-Based Recommendation with Two-Stage Feature Filtering;interactive Programming Knowledge Tracing with Adversarial Training;an Energy-Aware IoT Functions Offloading Strategy in Solar-Powered Edge Environment for Smart Agriculture;understanding the Use of Collaboration Tables in Crisis Response;an Inference Method for Professional Texts with Computational Expressions Under Few-Shot Scenarios;who Are the Blockchain Pioneers? A Framework for Measuring Scholars’ Influence;adaptive DeepWalk and Prior-Enhanced Graph Neural Network for Scholar Influence Maximization in social Networks;community-Aware Heterogeneous Graph Contrastive Learning;UGCM-LU: A Unified Stream and Batch Graph computing Model with Local Update for Community Detection;D-FGNAE: Decentralized Federated Graph Normalized AutoEncoder;community Evolution Tracking Based on High-Order Neighbor Consideration and Node Change Identification;NOBGP: A Novel Optimized Balanced Graph Partitioning Algorithm;secure and Efficient Federated Multi-label Propagation via Secret Sharing;Multi-UAVs Rec

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19th ccf conference on computer supported cooperative work and social computing, chinesecscw 2024

19th CCF Conference on Computer Supported Cooperative Work a...

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19th ccf conference on computer supported cooperative work and social computing, chinesecscw 2024

ISBN: (纸本)9789819623723

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18th ccf conference on computer supported cooperative work and social computing, chinesecscw 2023

18th CCF Conference on Computer Supported Cooperative Work a...

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18th ccf conference on computer supported cooperative work and social computing, chinesecscw 2023

ISBN: (纸本)9789819996391

the proceedings contain 82 papers. the special focus in this conference is on computer supported cooperative work and social computing. the topics include: Memetic Algorithm with Exchange Coding for Intelligent Scheduling Optimization;a Dimension-Based Elite Learning Particle Swarm Optimizer for Large-Scale Optimization;Compactness and Separateness Driven Fuzzy Clustering Validity Index Called TLW;cross-Lingual Speaker Transfer for Cambodian Based on Feature Disentangler and Time-Frequency Attention Adaptive Normalization;refining Skeleton-Based Temporal Action Segmentation with Edge Information;CoME: Collaborative Model Ensemble for Fast and Accurate Predictions;study on the Evolution of Public Opinion on Public Health Events;enhance the Transferability from an Overfitting Perspective;CMGN: Cross-Modal Grounding Network for Temporal Sentence Retrieval in Video;a Crowdsourcing Task Allocation Mechanism for Hybrid worker Context Based on Skill Level Updating;fast Community Detection Based on Integration of Non-cooperative and cooperative Game;professional Text Review Under Limited Sampling Constraints;Latent Diffusion Model-Based T2T-ViT for SAR Ship Classification;an Empirical Study on the Urgent Self-admitted Technical Debt;modular Joint Training for Speech-Driven 3D Facial Animation;extracting Structural Knowledge for Professional Text Inference;Card Mini Program Design and Implementation Based on SCHOLAT social Network;a Traffic Flow Prediction Based Task Offloading Method in Vehicular Edge computing;a Prediction-Based Fuzzy Method for Multi-objective Microservice workflows Scheduling;smart Contract Generation Supporting Multi-instance for Inter-Organizational Process Collaboration;blockchain-Based Multi-factor K-Anonymity Group Location Privacy Protection Scheme;arterial Traffic Optimization Algorithm Based on Deep Reinforcement Learning and Green Wave Coordination Control in Complex Lane Queuing Conditions;multi-robots Formation and Obstacle Avoidance Algorithm

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18th ccf conference on computer supported cooperative work and social computing, chinesecscw 2023

18th CCF Conference on Computer Supported Cooperative Work a...

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18th ccf conference on computer supported cooperative work and social computing, chinesecscw 2023

ISBN: (纸本)9789819996360

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AISCW: Artificial Intelligence supported cooperative work the New Frontier of CSCW 19th

AISCW: Artificial Intelligence Supported Cooperative Work Th...

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19th ccf conference on computer supported cooperative work and social computing, chinesecscw 2024

作者： Shi, Meilin Wang, Guiling Zhang, Shaohua Jiang, Jinlei Xiang, Yong Computer Science Department Tsinghua University Beijing100084 China Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data Beijing China School of Information Science and Technology North China University of Technology Beijing100144 China Camford Royal School Beijing102211 China

ISBN: (纸本)9789819623723

Under today’s natural environmental, social and technological conditions, the global and large-scale challenges faced by humanity are becoming increasingly significant, making collaborative work increasingly important. computer-supported cooperative work (CSCW) is anticipated to assume a more pivotal role in modern society and within the fabric of production and daily life. In recent years, Artificial Intelligence has witnessed remarkable advancements, and the "cooperative intelligence" of AI systems has been enhanced. the role of computers in supporting human collaboration is no longer limited to an auxiliary role but also serves as a cooperative role, bringing new challenges to the study of CSCW, ranging from basic collaborative theories to key technologies. this paper proposes a new frontier in CSCW, AI supported cooperative work (AISCW) and its system research. the objective is to take use of AI technologies to enhance and optimize human collaborative activities. By delving into the interplay between CSCW and AI, this paper outlines the foundational concepts, key issues and potential research focal points of AISCW. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： AISCW cooperative AI CSCW

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Joint Optimization of computing Offload Strategy and Resource Allocation in Mobile Edge computing 19th

Joint Optimization of Computing Offload Strategy and Resourc...

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19th ccf conference on computer supported cooperative work and social computing, chinesecscw 2024

作者： Li, Taoshen Huang, Yixin School of Information Engineering Nanning University 8 Longting Road Nanning China School of Computer Electronics and Information Guangxi University 100 Daxue Road Nanning China

ISBN: (纸本)9789819623754

Aiming at the problem of mutual interference in the transmission of multi-user wireless networks, a computing offload strategy based on transmission power optimization is proposed by combining the Nash equilibrium of multi-user computing offload game with the optimization algorithm of transmission power, and a two-layer alternative method framework is constructed. At the upper layer, the transmission power of each mobile device is fixed, and the offloading strategy of mobile device is determined by the offloading strategy algorithm based on non-cooperative game. At the lower layer, the interior point method is used to optimize the transmission power of mobile devices, reducing the weighted sum of energy consumption and response time of the system. the offloading strategy and transmission power of mobile devices are optimized through two-layer alternation, so as to make the energy consumption and time delay of the system optimal, and reduce the cost of the system. the simulation results show the necessity of comprehensive optimization of transmission power and offloading strategy, and verify the feasibility and effectiveness of the framework. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Computation offloading

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A Comprehensive Review of Computational Intelligence to Community Detection 19th

A Comprehensive Review of Computational Intelligence to Comm...

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19th ccf conference on computer supported cooperative work and social computing, chinesecscw 2024

作者： Zhang, Xinyi Hu, Qunpeng Wang, Jingchao School of Computer Engineering and Science Shanghai University Shanghai China

ISBN: (纸本)9789819623754

Community detection, an NP-hard problem, aims to partition networks into substructures to reveal their latent functions. As social network scales expand, traditional community detection algorithms face challenges in accuracy and efficiency, and computational resource consumption has increased dramatically. the application of computational intelligence has balanced the effectiveness and time cost of community detection algorithms. this paper presents a classification framework for community detection algorithms based on computational intelligence, divided into three main categories: evolutionary computation-based, neural networks-based and fuzzy theory-based. It further discusses the core ideas and unique solutions of these methods, guiding researchers in selecting appropriate algorithms. Additionally, the paper explores current challenges and future research directions, aiming to advance community detection technology in handling complex social network data. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Community Detection Computational Intelligence Evolutionary Computation-based Fuzzy theory-based Neural Networks-based

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FuNEUA: An Intelligent Edge User Allocation Approach Based on Fuzzy Neural Networks 19th

FuNEUA: An Intelligent Edge User Allocation Approach Based o...

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19th ccf conference on computer supported cooperative work and social computing, chinesecscw 2024

作者： Zeng, Shangzhen Chen, Ningjiang School of Computer and Electronic Information Guangxi University Nanning530004 China Graduate School Guangxi University Nanning530004 China Education Department of Guangxi Zhuang Autonomous Region Nanning530004 China The Guangxi Center of Technology Innovation for Intelligent Digital Services Nanning530004 China

ISBN: (纸本)9789819623723

Efficiently allocating users to edge servers in dynamic Mobile Edge computing (MEC) environments is challenged by fluctuating demands and diverse user preferences. the paper presents FuNEUA (Fuzzy Neural Network based Edge User Allocation), merging fuzzy logic decision-making with neural networks’ learning capabilities. By incorporating self-attention mechanism, FuNEUA captures and integrates contextual relationships between users and edge servers, enhancing context-awareness in allocation. Based on fuzzy logic, FuNEUA facilitates localized load balancing optimization among edge servers situated near users. Experiments on real-world datasets demonstrate that FuNEUA outperforms baseline methods across multiple performance metrics. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Edge User Allocation Fuzzy Logic Self-Attention Mechanism

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An Energy-Aware IoT Functions Offloading Strategy in Solar-Powered Edge Environment for Smart Agriculture 19th

An Energy-Aware IoT Functions Offloading Strategy in Solar-...

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19th ccf conference on computer supported cooperative work and social computing, chinesecscw 2024

作者： Cao, Han Chen, Long Zhang, Jinquan Wang, Shuang Zhu, Xia School of Computer Science and Engineering Southeast University Nanjing China

ISBN: (纸本)9789819623723

Edge intelligence is a new trend for monitoring and management in remote animal husbandry. However, the deployment of IoT applications in remote Edge Servers (ESs) faces significant challenges, such as limited computing and battery resources of servers and the mobility of sensors. In this paper, we consider the problem of IoT functions offloading in solar-powered edge environments. the computational, communication, and energy consumption models were established first. A novel approach Energy and Container State aware Offloading Algorithm (ECSOA) was proposed to schedule functions among ESs. ECSOA uses the NSGA-II algorithm to determine optimal parameters, ensuring efficient energy usage and service delivery. Our real-time simulation experiments demonstrate that ECSOA significantly reduces system energy consumption and the number of function rejections, presenting a promising solution for sustainable and reliable serverless edge computing in IoT-enabled animal husbandry. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Smart agriculture

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Spatial-Temporal Constrained Aircraft Sequencing and Path Planning for Airport Ground Movement Problem 19th

Spatial-Temporal Constrained Aircraft Sequencing and Path P...

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19th ccf conference on computer supported cooperative work and social computing, chinesecscw 2024

作者： Liu, Fengmei Sun, Jingzhe Zhu, Jie Zhao, Zheng Huang, Huimin School of Computer Science Nanjing University of Posts and Telecommunications Nanjing210023 China The State Key Laboratory Chinese of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing100864 China Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9789819623754

In order to effectively alleviate the congestion and delay of aircraft during peak hours in a large hub airport, the paper studies the cooperative scheduling and path planning for arrival and departure aircrafts. A cooperative aircraft scheduling and path planning model for the airport ground movement problem is established with multiple spatial and temporal constraints, such as the queue constraint, time difference constraint, corner constraint. It aims to minimize the average taxiing time for all aircrafts. A genetic algorithm with elite selection strategy (ESGA) is proposed for the problem under study. Experimental results show that the proposed algorithm can effectively obtain the aircraft sequencing and path planning solutions, and significantly reduce the average taxiing time of the aircraft. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Motion planning

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