Neural Information Processing [electronic resource] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XIV /

Applications -- Road Surface Segmentation and Detection Under Extreme Weather Conditions Based on Mask-RCNN -- I-RAFT: Optical Flow Estimation Model Based on Multi-scale Initialization Strategy -- Educational Pattern Guided Self-Knowledge Distillation for Siamese Visual Tracking -- LSiF: Log-Gabor Empowered Siamese Federated Learning for Efficient Obscene Image Classification in the Era of Industry 5.0 -- Depth Normalized Stable View Synthesis -- Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study -- Image Inpainting with Semantic U-Transformer -- Multi-scale Context Aggregation for Video-based Person Re-identification -- Enhancing LSTM and fusing articles of law for legal text summarization -- Text Spotting of Electrical Diagram Based on Improved PP-OCRv3 -- Topic-aware Two-layer Context-enhanced Model for Chinese Discourse Parsing -- A Malicious Code Family Classification Method Based on RGB Images and Lightweight Model -- Research on Relation Extraction Based on BERT with Multifaceted Semantics -- NMPose: Leveraging Normal Maps for 6D Pose Estimation -- BFTracker: A One-Shot Baseline Model with Fusion Similarity Algorithm Towards Real-Time Multi-Object Tracking -- Violence-MFAS: Audio-Visual Violence Detection Using Multimodal Fusion Architecture Search -- DeepLink: Triplet Embedding and Spatio-Temporal Dynamics Learning of Link Representations for Travel Time Estimation -- Reversible Data Hiding in Encrypted Images based on Image Reprocessing and Polymorphic Compression -- All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures -- TRFN: Triple-Receptive-Field Network for Regional-Texture and Holistic-Structure Image Inpainting -- PMFNet: A Progressive Multichannel Fusion Network for Multimodal Sentiment Analysis -- Category-wise Meal Recommendation -- A Data-freeSubstitute Model Training Method for Textual Adversarial Attacks -- Detect Overlapping Community via Graph Neural Network and Topological Potential -- DeFusion: Aerial Image Matching Based on Fusion of Handcrafted and Deep Features -- Unsupervised Fabric Defect Detection Framework based on Knowledge Distillation -- Data Protection and Privacy: Risks and Solutions in The Contentious Era of AI-driven Ad Tech -- Topic Modeling for Short Texts via Adaptive Pólya Urn Dirichlet Multinomial Mixture -- Informative Prompt Learning for Low-shot Commonsense Question Answering via Fine-Grained Redundancy Reduction -- Rethinking unsupervised domain adaptation for nighttime tracking -- A Bi-Directional Optimization Network for De-Obscured 3D High-Fidelity Surface Reconstruction -- Jointly extractive and abstractive training paradigm for text summarization -- A Three-Stage Framework For Event-Event Relation Extraction with Large Language Model -- MEFaceNets: Muti-scale Efficient CNNs for Real-time Face Recognition on Embedded Devices -- Optimal Low-rank QR Decomposition with an Application on RP-TSOD -- EDDVPL: A Web Attribute Extraction Method with Prompt Learning -- CACL:Commonsense-Aware Contrastive Learning for Knowledge Graph Completion -- Graph Attention Hashing via Contrastive Learning for Unsupervised Cross-modal Retrieval -- A Two-Stage Active Learning Algorithm for NLP Based on Feature Mixing -- Botnet Detection Method based on NSA and DRN -- ASRCD: Adaptive Serial Relation-based Model for Cognitive Diagnosis -- PyraBiNet: A Hybrid Semantic Segmentation Network Combining PVT and BiSeNet for deformable objects in indoor environments -- Classification of Hard and Soft Wheat Species using Hyperspectral Imaging and Machine Learning Models -- Mitigation of Voltage Violation for Battery Charging Based on Data-Driven Optimization. .

The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.