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.

¿Applications.- Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation.- RF-Based Drone Detection and Identification with Deep Neural Network: Review and Case Study.- Effective skill learning on vascular robotic systems: Combining offline and online reinforcement learning.- Exploring Efficient-Tuned Learning Audio Representation Method from BriVL.- Can You Really Reason: A Novel Framework for Assessing Natural Language Reasoning Datasets and Models.- End-to-End Urban Autonomous Navigation with Decision Hindsight.- Identifying Self-Admitted Technical Debt with Context-based Ladder Network.- NDGR: A Noise Divide and Guided Re-labeling Framework for Distantly Supervised Relation Extraction.- Customized Anchors Can Better Fit the Target in Siamese Tracking.- Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases.- Progressive Supervision for Tampering Localization in Document Images.- Multi-granularity Deep Vulnerability Detection using Graph Neural Networks.- Rumor Detection with Supervised Graph Contrastive Regularization.- A Meta Learning-based Training Algorithm for Robust Dialogue Generation.- Effects of Brightness and Class-unbalanced Dataset on CNN Model Selection and Image Classification considering Autonomous Driving.- HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai.- Pre-trained Financial Model for Price Movement Forecasting.- Impulsion of Movie's Content-Based Factors in Multi-Modal Movie Recommendation System.- Improving Transferbility of Adversarial Attack on Face Recognition with Feature Attention.- Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction.- BERT-LBIA: A BERT-Based Late Bidirectional Interaction Attention Model for Legal Case Retrieval.- Learning Discriminative Semantic and Multi-View Context for Domain Adaptive Few-shot Relation Extraction.- ML2FNet: A Simple but Effective Multi-Level Feature Fusion Network for Document-Level Relation Extraction.- Implicit Clothed Human Reconstruction Based on Self-attention and SDF.- Privacy-Preserving Federated Compressed Learning Against Data Reconstruction Attacks Based on Secure Data.- An Attack Entity Deducing Model for Attack Forensics.- Semi-supervised classification on data streams with recurring concept drift based on conformal prediction.- Zero-shot Relation Triplet Extraction via Retrieval-Augmented Synthetic Data Generation.- Parallelizable Simple Recurrent Units with Hierarchical Memory.- Enhancing Legal Judgment Prediction with Attentional Networks Utilizing Legal Event Types.- MOOCs Dropout Prediction via Classmates Augmented Time-Flow Hybrid Network.- Multiclass Classification and Defect Detection of Steel tube using modified YOLO.- GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction.- TEZARNet : TEmporal Zero-shot Activity Recognition Network.- Tigrinya OCR: Applying CRNN for Text Recognition.- Generating Pseudo-Labels for Car Damage Segmentation using Deep Spectral Method.- Two-Stage Graph Convolutional Networks for Relation Extraction.- Multi-vehicle Platoon Overtaking Using NoisyNet Multi-Agent Deep Q-Learning Network.