Web and Big Data: 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30

Medientyp: E-Book

Titel: Web and Big Data : 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part I

Beteiligte: Zhang, Wenjie [Herausgeber:in]; Tung, Anthony [Herausgeber:in]; Zheng, Zhonglong [Herausgeber:in]; Yang, Zhengyi [Herausgeber:in]; Wang, Xiaoyang [Herausgeber:in]; Guo, Hongjie [Herausgeber:in]

Erschienen: Singapore: Springer Nature Singapore, 2024.
Singapore: Imprint: Springer, 2024.

Ausgabe: 1st ed. 2024.

Umfang: 1 Online-Ressource(XVIII, 497 p. 153 illus., 140 illus. in color.)

Sprache: Englisch

DOI: 10.1007/978-981-97-7232-2

ISBN: 9789819772322

Identifikator:

Schlagwörter: Big data. ; Data structures (Computer science). ; Information theory. ; Application software. ; Image processing ; Computer vision. ; Data mining.

Entstehung:

Anmerkungen:

Beschreibung: -- Natural language processing. -- A Boundary Feature enhanced Span-based Nested Named Entity Recognition Method. -- Enhancing NER with Sentence-Level Entity Detection as an simple Auxiliary Task. -- CeER: A Nested Name Entity Recognition Model Incorporating Gaze Feature. -- External Knowledge Enhancing Meta-Learning Framework for Few-shot Text Classification via Contrastive Learning and Adversarial Network. -- Filter-GLAT: Filter Glanced Decoder Output for Non-autoregressive Transformer. -- Joint Semantic Relation Extraction for Multiple Entity Packets. -- RSET: Remapping-based Sorting Method for Emotion Transfer Speech Synthesis. -- Explicit Relation-Enhanced AMR for Document-Level Event Argument Extraction with Global-Local Attention. -- Parallel Program Generation for Hybrid Tabular-Textual Question Answering. -- CGSL: Collaborative Graph and Segment Learning Based Aspect-level Sentiment Analysis Model. -- SE-GCN: A Syntactic Information Enhanced Model for Aspect-based Sentiment Analysis. -- Generative AI and LLM. -- Similarity Retrieval and Medical Cross-modal Attention based Medical Report Generation. -- Answering Spatial Commonsense Questions based on Chain-of-Thought Reasoning with Adaptive Complexity. -- LLM-Based Empathetic Response through Psychologist-Agent Debate. -- UFI4ER: An Utterance-Level Feature Dynamic Interaction Model for Cognition-Enhanced Empathetic Response Generation. -- Enhancing Continual Relation Extraction with Concept Aware Dynamic Memory Optimization. -- Knowledge-Enhanced Context Representation for Unbiased Scene Graph Generation. -- Modal Complementarity based on Multimodal Large Language Model for Text-based Person Retrieval. -- Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. -- Watch Your Words: Successfully Jailbreak LLM by Mitigating the “Prompt Malice”. -- Generating Adversarial Texts by the Universal Tail Word Addition Attack. -- Smaller Can Be Better: Efficient Data Selection for Pre-training Models. -- How to Enhance Low-Resource Knowledge Tracing Tasks? A Pre-training and Gradient Adjusting Fine-tuning Framework. -- Computer Vision. -- A Learned Image Compression Method for Electricity Tower Monitoring Based on the Transformer-CNN-Based Network. -- A Lightweight OCT Image Classification Model with Low Configuration and High Efficiency. -- An Enhanced MobileNet with Multi-Scale Aggregation for DR Classification. -- GIPUT: Maximizing Photo Coverage Efficiency for UAV Trajectory. -- LPLA:The Adversarial Attack against License Plate Recognition Systems. -- PW-CM: A Medical Image Segmentation Based on Consistency Model by Using Patches and Wavelet Transforms. -- WS-GCA: A Synergistic Framework for Precise Semantic Segmentation with Comprehensive Supervision. -- YOLO-VanNet: An improved YOLOv5 method for PCB surface defect detection. -- Long video scoring method fusing high-precision pose and spatio-temporal attention modules. -- Recommender System. -- Filter-enhanced Multi-interest Network for Sequential Recommendation.

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024. The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions. The papers are organized in the following topical sections: Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System. Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data. Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization. Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security Part V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.

Web and Big Data - [1st ed. 2024.]

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