Gengyu Lyu
28 papers · 2020–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Machine Learning
(25)
Core Methods
(23)
Learning Types Β· Machine Learning
(19)
Deep Learning
(17)
Architectures
(10)
Learning Types Β· Deep Learning
(7)
Artificial Intelligence
(4)
Computer Vision
(3)
Analysis
(3)
Application Areas
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Data Science & Analytics
(2)
Core AI
(2)
Learning Paradigms Β· Machine Learning
(2)
Processing
(2)
Keywords
representation learning
(5)
contrastive learning
(5)
multi-view learning
(4)
partial label learning
(4)
graph neural network
(4)
label disambiguation
(3)
multi-label classification
(3)
feature fusion
(3)
multi-view multi-label classification
(3)
partial multi-label learning
(2)
label correlation
(2)
graph contrastive learning
(2)
multi-view multi-label learning
(2)
unbiased risk estimator
(2)
multi-view clustering
(2)
node classification
(2)
semantic segmentation
(2)
graph matching
(2)
event camera
(2)
attention mechanism
(2)
Papers
CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness
AAAI 2026
DF^2-VB: Dual-level Fuzzy Fusion with View-specific Boosting for Multi-view Multi-label Classification
CVPR 2026
Dual Graph Disambiguation for Multi-Instance Partial-Label Learning
AAAI 2026
Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion
AAAI 2026
Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection
AAAI 2025
CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning
AAAI 2025
Critical Node-aware Augmentation for Hypergraph Contrastive Learning
IJCAI 2025
Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary
ICLR 2025
ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance
AAAI 2025
Graph Consistency and Diversity Measurement for Federated Multi-View Clustering
AAAI 2025
Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation
AAAI 2025
Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition
ACL 2025
Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
ICML 2025
MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds
AAAI 2025
Multi-Instance Multi-Label Classification from Crowdsourced Labels
AAAI 2025
Multi-View Multi-Label Classification via View-Label Matching Selection
AAAI 2025
Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank
ICML 2025
A Separation and Alignment Framework for Black-Box Domain Adaptation
AAAI 2024
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning
IJCAI 2024
SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting
IJCAI 2024
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering
AAAI 2024
Unbiased Multi-Label Learning from Crowdsourced Annotations
ICML 2024
Deep Partial Multi-Label Learning with Graph Disambiguation
IJCAI 2023
MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning
AAAI 2023
Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning
AAAI 2022
Deep Graph Matching for Partial Label Learning
IJCAI 2022
GM-MLIC: Graph Matching based Multi-Label Image Classification
IJCAI 2021
Partial Multi-Label Learning via Multi-Subspace Representation
IJCAI 2020