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.
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.
