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.- Multi-model smart contract vulnerability
detection based on BiGRU.- Time-warp-invariant Processing with Multi-spike
Learning.- ECOST: Enhanced CoST Framework for Fast and Accurate Time Series
Forecasting.- Adaptive CNN-Based Image Compression Model for Improved Remote
Desktop Experience.- LCformer Linear Convolutional Decomposed Transformer for
Long-Term Series Forecasting.- Fashion Trend Forecasting Based on
Multivariate Attention Fusion.- On Searching for Minimal Integer
Representation of Undirected Graphs.- Multi-Scale Multi-Step Dependency Graph
Neural Network for Multivariate Time Series Forecasting.- Q-Learning Based
Adaptive Scheduling Method For Hospital Outpatient Clinics.- Temporal Task
Graph based Dynamic Agent Allocation for Applying Behavior Trees in
Multi-agent Games.- A Distributed kWTA for Decentralized Auctions.-
Leveraging Hierarchical Similarities for Contrastive
Clustering.- Reinforcement Learning-Based Consensus-Reaching in Large-Scale
Social Networks.- Lateral Interactions Spiking Actor Network for
Reinforcement Learning.- An Improved YOLOv5s for Glass Tube Defect
Detection.- Label Selection Approach to Learning from Crowds.- New Stability
Criteria for Markov Jump Systems under DoS Attacks and Packet Loss via
Dynamic Event-triggered Control.- Image Blending Algorithm with Automatic
Mask Generation.- Design of Memristor-based Binarized Multi-layer Neural
Network with High Robustness.- FEDEL: Frequency Enhanced Decomposition and
Expansion Learning for Long-Term Time Series Forecasting.- On the use of
persistent homology to control the generalization capacity of a neural
network.- On the use of persistent homology to control the generalization
capacity of a neural network.- Genetic Programming Symbolic Regression with
Simplification-Pruning Operator for Solving Differential
Equations.- Explainable Offensive Language Classifier.- Infrared Target
Recognition Technology Based On Small Sample Learning.- An Approach to
Mongolian Neural Machine Translation Based on RWKV Language Model and
Contrastive Learning.- Event-Triggered Constrained $H_\infty$ Control Using
Concurrent Learning and ADP.- Three-dimensional rotation knowledge
representation learning based on graph context.- TextBFA: Arbitrary Shape
Text Detection with Bidirectional Feature Aggregation.- Bias Reduced Methods
to Q-learning.- A neural network architecture for accurate 4D vehicle pose
estimation from monocular images with uncertainty assesment.- PSO-enabled
Federated Learning for Detecting Ships in Supply Chain Management.- Federated
Learning using the Particle Swarm Optimization model for the Early Detection
of COVID-19.- Domain Generalization via Implicit Domain
Augmentation.- Unconstrained Feature Model and Its General Geometric Patterns
in Federated Learning: LocalSubspace Minority Collapse.- Mutually Guided
Dendritic Neural Models.- Social-CVAE: Pedestrian Trajectory Prediction using
Conditional Variational Auto-Encoder.- Distributed Training of Deep Neural
Networks: Convergence and Case Study.- Chinese Medical Intent Recognition
Based on Multi-feature Fusion.- Multi-Mobile Object Motion Coordination with
Reinforcement Learning.- Comparative Analysis of the Linear Regions in ReLU
and LeakyReLU Networks.- Heterogeneous Graph Prototypical Networks for
Few-shot Node Classification.- Improving Deep Learning Powered Auction
Design.- Link Prediction with Simple Path-Aware Graph Neural
Networks.- Restore Translation Using Equivariant Neural Networks.- SDPSAT:
Syntactic Dependency Parsing Structure-guided Semi-Autoregressive Machine
Translation.-
