Description

Book Synopsis

 .- Noise-Resistant Federated Open Set Recognition.
.- Graph Representation-aware Online Aggregations over Knowledge Graph.
.- LWMUNet: Enhancing Semantic Segmentation with Learnable Linked Sliding-Window Serialization.
.- A Trusted Federated Learning Scheme for Distributed GAN Model Training.
.- Multimodal Sentiment Analysis with Modality-Robust and -Biased Representations and Distance-aware Contrastive Learning.
.- DeNoiseFood dataset with ECAMixDNet: an efficient denoising framework for complex textured food images.
.- Leveraging Language Model and Knowledge Tracing for Personalized Question Generation.
.- MFTP: Multi-round Feedback for Dynamic Travel Itinerary Optimization.
.- GraphRAG-KM: An Automated Framework for Transforming Industrial Documents into Ontology and Conceptual Models.
.- MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing.
.- AD^2-pFed: Personalized Federated Learning Based on Adaptive Bilateral Distillation with Diffusion Models.
.- FATDyG: A Dynamic Network Link Prediction Framework for Time, Space, and Frequency Awareness.
.- Resource Optimization for FPGA-based SM9 Digital Signature Algorithm.
.- Enhancing Pruning Efficiency via Maximum Prunable Channel Selection in Tiny Object Detection.
.- A Multimodal Fusion Framework employing Full-stage Attention for Survival Prediction.
.- Differentially Private Graph Data Publishing via Feature-based Community Detection.
.- Solving the Problem of Task Offloading in Heterogeneous Edge Computing Environments Using Deep Q-Networks and Attention Mechanisms.
.- Ant Colony Sampling with Mixture of Experts for Combinatorial Optimization.
.- MSCAN: Multi-Scale Context-Aware Network for Multivariate Long-Term Forecasting.
.- PAformer: Transformer with Learnable Period Detection and Periodic Attention for Multivariate Time Series.
.- ELS-GDR: Efficient Extraction of Long-Term Sequential Signals for Guiding Diffusion-Based Recommendation.
.- EntiFA: Entity-based Fine-grained Adaptation for Knowledge Enhancement in Large Language Models.
.- StressSentry-FHE: A Transformer-based Privacy-Preserving Framework for Stress Detection Using Quantized Attention.
.- Dual Attention Transformer with Multi-scale Perception for Multivariate Time Series Forecasting.
.- Uncertainty-Aware Prototype Semantic Decoupling for Text-Based Person Search in Full Images.
.- Scale Margin Loss for Object Detection.
.- Enhancing Fundus Image-based Glaucoma Screening via Dynamic Global-Local Feature Integration.
.- BackdoorHunter: Poisoned Training Data Removal via Contrastive Responses under Pruned Models.
.- Can LLMs Assist Computer Education? an Empirical Case Study of DeepSeek.
.- Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks.
.- SoMORE: Social Context-aware MLLM for Video Character Search.
.- A Multimodal Feature Fusion Method for Analyzing Children's Interests.
.- Seaformer: An Adaptive forecasting Framework for Multi-source Heterogeneous Ocean Observation Data.
.- Hybrid Kolmogorov-Arnold and Graph Attention Networks for Gold Price Forecasting under Uncertainty.

Knowledge Science Engineering and Management

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    A Paperback by Tianqing Zhu

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      Publisher: Springer
      Publication Date: Publication Date: 10/11/2025
      ISBN13: 9789819530519, 978-9819530519
      ISBN10:
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis

       .- Noise-Resistant Federated Open Set Recognition.
      .- Graph Representation-aware Online Aggregations over Knowledge Graph.
      .- LWMUNet: Enhancing Semantic Segmentation with Learnable Linked Sliding-Window Serialization.
      .- A Trusted Federated Learning Scheme for Distributed GAN Model Training.
      .- Multimodal Sentiment Analysis with Modality-Robust and -Biased Representations and Distance-aware Contrastive Learning.
      .- DeNoiseFood dataset with ECAMixDNet: an efficient denoising framework for complex textured food images.
      .- Leveraging Language Model and Knowledge Tracing for Personalized Question Generation.
      .- MFTP: Multi-round Feedback for Dynamic Travel Itinerary Optimization.
      .- GraphRAG-KM: An Automated Framework for Transforming Industrial Documents into Ontology and Conceptual Models.
      .- MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing.
      .- AD^2-pFed: Personalized Federated Learning Based on Adaptive Bilateral Distillation with Diffusion Models.
      .- FATDyG: A Dynamic Network Link Prediction Framework for Time, Space, and Frequency Awareness.
      .- Resource Optimization for FPGA-based SM9 Digital Signature Algorithm.
      .- Enhancing Pruning Efficiency via Maximum Prunable Channel Selection in Tiny Object Detection.
      .- A Multimodal Fusion Framework employing Full-stage Attention for Survival Prediction.
      .- Differentially Private Graph Data Publishing via Feature-based Community Detection.
      .- Solving the Problem of Task Offloading in Heterogeneous Edge Computing Environments Using Deep Q-Networks and Attention Mechanisms.
      .- Ant Colony Sampling with Mixture of Experts for Combinatorial Optimization.
      .- MSCAN: Multi-Scale Context-Aware Network for Multivariate Long-Term Forecasting.
      .- PAformer: Transformer with Learnable Period Detection and Periodic Attention for Multivariate Time Series.
      .- ELS-GDR: Efficient Extraction of Long-Term Sequential Signals for Guiding Diffusion-Based Recommendation.
      .- EntiFA: Entity-based Fine-grained Adaptation for Knowledge Enhancement in Large Language Models.
      .- StressSentry-FHE: A Transformer-based Privacy-Preserving Framework for Stress Detection Using Quantized Attention.
      .- Dual Attention Transformer with Multi-scale Perception for Multivariate Time Series Forecasting.
      .- Uncertainty-Aware Prototype Semantic Decoupling for Text-Based Person Search in Full Images.
      .- Scale Margin Loss for Object Detection.
      .- Enhancing Fundus Image-based Glaucoma Screening via Dynamic Global-Local Feature Integration.
      .- BackdoorHunter: Poisoned Training Data Removal via Contrastive Responses under Pruned Models.
      .- Can LLMs Assist Computer Education? an Empirical Case Study of DeepSeek.
      .- Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks.
      .- SoMORE: Social Context-aware MLLM for Video Character Search.
      .- A Multimodal Feature Fusion Method for Analyzing Children's Interests.
      .- Seaformer: An Adaptive forecasting Framework for Multi-source Heterogeneous Ocean Observation Data.
      .- Hybrid Kolmogorov-Arnold and Graph Attention Networks for Gold Price Forecasting under Uncertainty.

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