PRICAI 2022: Trends in Artificial Intelligence

​Knowledge Representation and Reasoning.- Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information.- Source-Free Implicit Semantic Augmentation for Domain Adaptation.- Role-Oriented Network Embedding Method Based on Local Structural Feature and Commonality.- Dynamic Refining Knowledge Distillation Based on Attention Mechanism.-  Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction.- Entity Similarity-based Negative Sampling for Knowledge Graph Embedding.- Label Enhancement using Inter-Example Correlation Information.- Link Prediction via Fused Attribute Features Activation with Graph Convolutional Network.- Multi-Subspace Attention Graph Pooling.- Embedding for Temporal Knowledge Graph Reasoning.- Natural Language Processing.- M2FNet: Multi-granularity Feature Fusion Network for Medical Visual Question Answering.- Noise-robust Semi-supervised Multi-modal Machine Translation.- SETFF: A Semantic Enhanced Table Filling Framework for Joint Entity and Relation Extraction.- PEKIN: Prompt-based External Knowledge Integration Network for Rumor Detection on Social Media.-  Entity-aware Social Media Reading Comprehension.- Analysis via Virtual Node Augmented Graph Convolutional Networks.- Bidirectional Macro-level Discourse Parser based on Oracle Selection.- Evidence-Based Document-Level Event Factuality Identification.- Named Entity Recognition Model of Power Equipment Based on Multi-feature Fusion.- Improving Abstractive Multi-document Summarization with Predicate-Argument Structure Extraction.- A Structure-aware Method for Cross-domain Text Classification.- SICM: A Supervised-based Identification and Classification Model for Chinese Jargons Using Feature Adapter Enhanced BERT.- HS2N: Heterogeneous Semantics-Syntax Fusion Network for Document-level Event Factuality Identification.-  Pay Attention to the ”Tails”: A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection.- Choice-driven Contextual Reasoning for Commonsense Question Answering.- Implicit Discourse Relation Recognition Based on Multi-granularity Context Fusion Mechanism.- Chinese Medical Named Entity Recognition Using External Knowledge.- Neural Networks and Deep Learning.- Trajectory Prediction With Heterogeneous Graph Neural Network.- EEF1-NN: Efficient and EF1 allocations through Neural Networks.- Weighted Adaptive Perturbations Adversarial Training for Improving Robustness.- Improved Network Pruning via Similarity-Based Regularization.- Dynamic-GTN: Learning an Node Efficient Embedding in Dynamic Graph with Transformer.- ICDT: Incremental Context Guided Deliberation Transformer for Image Captioning.- Semantic-Adversarial Graph Convolutional Network for Zero-shot Cross-modal Retrieval.- DAST: Depth-Aware Assessment and Synthesis Transformer for RGB-D Salient Object Detection.-  A Vehicle Re-ID Algorithm Based on Channel Correlation Self-Attention and Lstm Local Information Loss.-  A Self-Supervised Graph Autoencoder with Barlow Twins.- Few-shot Image Classification Method Based on Fusion of Important Features of Different Scales.-  Group Residual Dense Block for Key-Point Detector with One-level Feature.