Area of research
Artificial Intelligence · Statistical and Nonlinear Physics
Research interest
Research interests include Computer science, Artificial intelligence, Graph, Theoretical computer science, Leverage (statistics), and Embedding.
Hierarchical Superpixel Segmentation via Structural Information Theory
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis
Knowledge Graph Context-Enhanced Diversified Recommendation
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
Unified Pretraining for Recommendation via Task Hypergraphs
Hierarchical Abstracting Graph Kernel
Graph Collaborative Signals Denoising and Augmentation for Recommendation
Minimum Entropy Principle Guided Graph Neural Networks
Adaptive Subgraph Neural Network with Reinforced Critical Structure Mining
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces
A Robust and Generalized Framework for Adversarial Graph Embedding
Hierarchical State Abstraction based on Structural Information Principles
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning
A Survey on Text Classification: From Traditional to Deep Learning
Graph Structure Learning with Variational Information Bottleneck
A Survey on Deep Learning Event Extraction: Approaches and Applications
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation
Federated Multi-view Learning for Private Medical Data Integration and Analysis
Automating DBSCAN via Deep Reinforcement Learning
A Self-Supervised Mixed-Curvature Graph Neural Network
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism