​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.