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.
Theory and Algorithms.- elf-Adaptive Inverse Soft-Q Learning for
Imitation.- Membership Inference Attack against Medical
Databases.- Application of ALMM Technology to Intelligent Control System for
a Fleet of Unmanned Aerial Vehicles.- Bloomfilter-based Practical
Kernelization Algorithm for Minimum Satisfiability.- TPTGAN: Two-Path
Transformer-Based Generative Adversarial Network Using Joint Magnitude
Masking and Complex Spectral Mapping for Speech Enhancement.- Sample
Selection based on Uncertainty for Combating Label Noise.- Design of a
Multimodal Short Video Classification Model.- DGNN: Dependency Graph Neural
Network for Multimodal Emotion Recognition in Conversation.- Global
Exponential Synchronization of Quaternion-Valued Neural Networks via
Quantized Control.- Improving SLDS Performance using Explixit Duration
Variables with Infinite Support.- Policy Representation Opponent Shaping via
Contrastive Learning.- FHSI-GNN: Fusion Hierarchical Structure Information
Graph Neural Network for Extractive Long Documents Summarization.- How to
support sport management with decision systems? Swimming athletes assessment
study case.- Differential Private (Random) Decision Tree without Adding
Noise.- Cognitive Neurosciences.- Pushing the Boundaries of Chinese Painting
Classification on Limited Datasets: Introducing a Novel Transformer
Architecture with Enhanced Feature Extraction.- Topological Dynamics of
Functional Neural Network Graphs During Reinforcement Learning.- Quantized
SGD in Federated Learning: Communication, Optimization and
Generalization.- Many Is Better than One: Multiple Covariation Learning for
Latent Multiview Representation.- Explainable Sparse Associative
Self-Optimizing Neural Networks for Classification.- Efficient Attention for
Domain Generalization.- Adaptive Accelerated Gradient Algorithm for Training
Fully Complex-Valued DendriticNeuron Model.- Interpreting Decision Process in
Offline Reinforcement Learning for Interactive Recommendation Systems.- A
Novel Framework for Forecasting Mental Stress Levels based on Physiological
Signals.- Correlation-Distance Graph Learning for Treatment Response
Prediction from rs-fMRI.- Measuring Cognitive Load: Leveraging fNIRS and
Machine Learning for Classification of Workload Levels.- Enhanced Motor
Imagery Based Brain-Computer Interface via Vibration Stimulation and Robotic
Glove for Post-Stroke Rehabilitation.- MTSAN-MI: Multiscale Temporal-Spatial
Convolutional Self-Attention Network for Motor Imagery Classification.- How
do native and non-native listeners differ? Investigation with dominant
frequency bands in auditory evoked potential.- A Stealth Security Hardening
Method Based on SSD Firmware Function Extension.- Attention-Based Deep
Convolutional Network for Speech Recognition under Multi-scene Noise
Environment.- Discourse-Aware Causal Emotion Entailment.- DAformer:
Transformer with Domain Adversarial Adaptation for EEG-based Emotion
Recognition with Live-Oil Paintings.- Time-Frequency Transformer: A Novel
Time Frequency Joint Learning Method for Speech Emotion
Recognition.- Asymptotic spatio-temporal averaging of the power of EEG
signals for schizophrenia diagnostics.- Human Centred Computing.- Non-Contact
Respiratory Flow Extraction from Infrared Images Using Balanced Data
Classification.- The Construction of DNA Coding Sets by An Intelligent
Optimization Algorithm: TMOL-TSO.- Heterogeneous Graph Fusion with
Adversarial Learning for Recommendation Service.- SSVEP Data Augmentation
based on Filter Band Masking and Random Phase Erasing.- ONEI: Unveiling Route
and Phase of Breathing from Snoring Sounds.- MVCAL: Multi View Clustering for
Active Learning.- Extraction of One Time Point Dynamic Group Features via
Tucker Decomposition of Multi-Subject FMRI Data: Application to
Schizophrenia.- Modeling Both Collaborative and Temporal Information for
Sequential Recommendation.- Multi-level Attention Network with Weather
Suppression for All-weather Action Detection in UAV Rescue
Scenarios.- Learning Dense UV Completion for 3D Human Mesh Recovery.
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