Neural Information Processing

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.-