Deep Learning
TeaE: an Efficient Method for Improving the Precision of Teaching Evaluation
Graph Fusion Multimodal Named Entity Recognition Based on Auxiliary Relation Enhancement
Sentence-level Event Detection without Triggers via Prompt Learning and Machine Reading Comprehension
Multi-grained Logical Graph Network for Reasoning-based Machine Reading Comprehension
Adaptive Prototype Learning with Common and Discriminative Features for Few-shot Relation Extraction
Fine-grained Knowledge Enhancement for Empathetic Dialogue Generation
Implicit Sentiment Extraction using Structure Generation with Sentiment Instructor Prompt Template
SE-Prompt: Exploring Semantic Enhancement with Prompt Tuning for Relation Extraction
Self-supervised Multi-view Clustering Framework with Graph Filtering and Contrast Fusion
Semantic Selection and Multi-view Alignment for Image-Text Retrieval
Voice Conversion with Denoising Diffusion Probabilistic GAN Models
Symbolic & Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music
Document-level Relation Extraction with Relational Reasoning and Heterogeneous Graph Neural Networks
A Chinese Named Entity Recognition Method based on Textual Information Perception Fusion
Aspect-Based Sentiment Analysis via BERT and Multi-Scale CBAM
A novel adaptive distribution distance-based feature selection method for video traffic identification
SVIM: a Skeleton-based View-invariant Method for Online Gesture Recognition
A Unified Information Diffusion Prediction Model based on Multi-task Learning
Learning Knowledge Representation with Entity Concept Information
Domain Adaptive Pre-trained Model for Mushroom Image Classification
Training Noise Robust Deep Neural Networks with Self-supervised Learning
Path integration enhanced graph attention network
Graph Contrastive Learning with Hybrid Noise Augmentation for Recommendation
User-Oriented Interest Representation on Knowledge Graph for Long-Tail Recommendation
Multi-Self-Supervised Light Graph Convolution Network for Social Recommendation
A Poisoning Attack Based on Variant Generative Adversarial Networks in Recommender Systems
Label Correlation guided Feature Selection for Multi-label Learning
Iterative Encode-and-Decode Graph Neural Network
Community Detection in Temporal Biological Metabolic Networks based on Semi-NMF Method with Node Similarity Fusion
UKGAT: Uncertain Knowledge Graph Embedding Enriched KGAT for Recommendation
Knowledge Graph Link Prediction Model Based on Attention Graph Convolutional Network
Knowledge Graph Embedding with Relation Rotation and Entity Adjustment by Quaternions
Towards time-variant-aware Link Prediction in Dynamic Graph through Self-supervised Learning
Adaptive Heterogeneous graph Contrastive clustering with Multi-Similarity
Multi-Teacher Local Semantic Distillation from Graph Neural Networks
AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining
Rethinking the Evaluation of Deep Neural Network Robustness
A Visual Interpretation-Based Self-Improved Classification System Using Virtual Adversarial Training
TSCMR:Two-Stage Cross-Modal Retrieval
Effi-Emp: An AI based approach towards positive empathic expressions
Industry Track Papers
Research on Image Segmentation Algorithm Based on Level Set. Ping Wu ((AVIC Shenyang Aircraft Design & Research Institute)
Predicting learners’ performance using MOOC clickstream
A Fine-grained Verification Method for Blockchain Data Based on Merkle Path Sharding
A Privacy Preserving Method for Trajectory Data Publishing Based on Geo-indistinguishability
HA-CMNet: A Driver CTR Model for Vehicle-Cargo Matching in O2O Platform
A Hybrid Intelligent Model SFAHP-ANFIS-PSO for Technical Capability Evaluation of Manufacturing Enterprises
A method for data exchange and management in the military industry field. Ping Wu ((AVIC Shenyang Aircraft Design & Research Institute)
Multi-region Quality Assessment based on Spatial-Temporal Community Detection from Computed Tomography Images.