No. 111, Sec. North 1, Er-Huan Rd.
Chengdu
Chengdu, 610031
China
Southwest Jiaotong University
Feature selection, Sparse supplementation, Multi-label learning, Norm fusion, Classification.
traffic flow forecasting, spatio-temporal dependencies, feature enhancement, attention mechanism, graph neural network
Clustering, clustering ensemble, Machine Learning, neighbor embedding graph model
Multi-source information fusion, information set, Fuzzy set, Gaussian kernel function, fuzzy knowledge measure, Outlier detection
neighborhood fuzzy rough sets, Feature Selection, fuzzy equivalence relation, label distribution learning.
Hate speech detection, hypergraph, Online social networks, Graph neural networks
Deep learning, wind forecasting, NWP correction, multi-criteria evaluation
federated learning, differential privacy, Adaptive noise mechanism, Adaptive sharpness-aware minimization.
Object detection, Test-Time Adaptation, Feature alignment, Contrastive Learning
Robust Feature Selection, Correlation Analysis, Fuzzy-rough Set, Fuzzy Dependency Function, Hybrid Fuzzy
Time series forecasting, Frequency domain analysis, Deep learning, Adaptive filtering, Patch Attention
Open-world continual learning, knowledge transfer, continual learning, prompt learning, open detection.
Premise selection, Graph similarity, Graph representation, Graph neural network, SAGpool-Term-Walk
Partial multi-label learning, Noise disambiguation, Low-rank constraint, Rotation
Competitive relationship mining, heterogeneous information network, graphrepresentation learning
Tensorial multi-view clustering, Nonlocal smoothness, Low-rank tensor representation, Subspace clustering.
Incomplete multi-view clustering, Auto-weighted mechanism, Clean hypergraph, Tensor low-rank constraint
Partial multi-Label learning, High-order label correlation, Negative label, Hypergraph
Doctor recommendation, Graph neural network, knowledge graph embedding.
Unsupervised feature selection, Discriminative k-means, Adaptive graph, Weighted pseudo-label matrix, Dependency score
Generative Flow Networks, Reward Adaptation, Molecular Optimization, Reinforcement learning, generative models
Granular-ball computing, Multi-sequence, Unsupervised outlier detection, Fuzzy information granulation, Information Fusion
Multi-View Clustering, Spectral embedding, Spectral rotation, Adaptive graph learning
Feature selection, Multi-objective optimization, Rough hypercuboid, Particle swarm optimization
Multi-view unsupervised feature selection, cross-view information, flexible embedding, cross-view collaborating
Multi-label feature selection, Fuzzy mutual information, Non-negative matrix factorization, Adaptivegraph learning, Structure preservation, Error absorption
Causal Inference, Structural causal model, Feature graph, Large language models, Rumor detection
Multi-view clustering, Subspace clustering, Graph learning, Consensus graph, Tensor nuclear norm.
Feature Selection, uncertainty measure, fuzzy rough set, bounded approximate entropy, granular computing
