Collaborative Computing: Networking, Applications and Worksharing 21st EAI International Conference, CollaborateCom 2025, Shanghai, China, November 15–16, 2025, Proceedings, Part I
Product details
This two-volume set LNICST 680-681 constitutes the refereed proceedings of the 21st EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2025, held in Shanghai, China, during November 15–16, 2025.
The 58 full papers included in these volumes were carefully reviewed and selected from 207 submissions. They are categorized under the topical sections as follows:
Part I: Large Language Models & Recommendation systems; and Deep Learning and application.
Part II: Federated Learning & Collaborative working; Edge computing & Task scheduling; Security and Blockchain applications; and Anomaly Detection.
.- Large Language Models & Recommendation systems.
.- Multi-Scale Semantic Reprogramming for Time Series Forecasting with Large Language Models.
.- ChunkPassGPT: A Chunk-Level Pattern-Guided Generative Password Guessing Model.
.- ClusLazyFR: An Efficient Federated Recommendation Scheme via User Clustering and Lazy Aggregation.
.- RPDP-Guard: Defending Large Language Models Against Jailbreaking Attacks Through Risk Perception and Dynamic Prompting.
.- An External Knowledge Enhanced Multimodal Method for Improving Chinese Spelling Correction.
.- AQFM: AN AUTOMATIC QUESTION ANSWERING FRAMEWORK BASED ON THE COLLABORATION OF LOW-PARAMETER LLMS.
.- Enhanced Spoofing Speech Detection with Self-Supervised Feature Extraction and Multi-Expert Models.
.- Multimodal Knowledge-enhanced Sequence Modeling Method for Conversational Recommender Systems.
.- A^3LLM: A Novel Large Language Model-based Method For Attack Alert Analysis.
.- Deep Learning and application.
.- JIT-Coka: An Improved Framework for Just-in-Time Defect Prediction and Localization Using Fused Features of Code Change.
.- Multi-Stage Fuzzy Job Scheduling in Collaborative Heterogeneous Clouds via a Hybrid NSGA-II and Deep Reinforcement Learning Approach.
.- HybCompress-MARL:Hybrid Model Compression with Multi-agent Reinforcement Learning for CNN.
.- DentSplat: Dental Occlusion Novel View Synthesis from Sparse Intra-Oral Photographs.
.- Structure-Guided Update of Dynamic Graphs under Local Differential Privacy.
- TS-EWM: An End-to-end Speech Watermarking Scheme Based On Multimodal Multi-branch Decoder And Multi-sensory Orthogonal Projection Gradient Optimization.
.- RL-Based Test Case Prioritization with LSTM-Attention Reward Function.
.- iPPGYdrNet: HR Extraction under Motion and Occlusion Conditions.
.- SimAECLR: A Contrastive Learning Approach with Autoencoder for ECG Signals Classification under Limited Labeled Data.
.- MobileRehab: Smartphone-Based Rehabilitation Monitoring Using Active Acoustic Sensing.
.- Cross-Modal Medical Image Translation based on Adversarial Diffusion Model.
.- A Time Flow Neural Network For Solving Time-Varying Steady-State Maximum Flow Problem.
.- RGMN: Residual-Gated Multimodal Network for Android Malware Detection via Configuration Text and Three-Channel Image.
.- Chinese Spelling Correction via Fine-Grained Multi Feature Fusion.
.- Multi-task learning and Multi-Scale Time series Fusion for Unexpected Refusal Prediction in Online Booking Services.
.- CDConvNet: Context-aware Convolutional Network with Dynamic Weight for Time Series Forecasting.
.- MultiDepNet: Integrating Semantic Dependency and Multimodal Complementary Information to Enhance Multimodal Depression Estimation.
.- Towards Online Surround-view System Calibration for Autonomous Driving.
.- Crossformer-based Bandwidth Prediction for Multipath Video Streaming.