Songhe Feng
26 papers · 2017–2026 · 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.
Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(3)
π€
Dynamic Duo
(10)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(111)
Top co-authors
Research topics
Machine Learning
(22)
Core Methods
(17)
Learning Types Β· Machine Learning
(17)
Deep Learning
(9)
Architectures
(7)
Data Science & Analytics
(6)
Applications
(6)
Artificial Intelligence
(4)
Learning Types Β· Deep Learning
(4)
Application Areas
(3)
Core AI
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Learning Paradigms Β· Machine Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Keywords
multi-view clustering
(7)
partial multi-label learning
(3)
contrastive learning
(3)
catastrophic forgetting
(3)
multi-label classification
(3)
compositional zero-shot learning
(3)
graph matching
(3)
continual learning
(3)
graph neural network
(3)
partial label learning
(3)
multi-view multi-label learning
(2)
subspace clustering
(2)
knowledge distillation
(2)
low-rank tensor
(2)
label disambiguation
(2)
tensor decomposition
(2)
cross-modal alignment
(2)
multi-instance learning
(1)
label propagation
(1)
3d reconstruction
(1)
Papers
Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation
AAAI 2026
Bridging the Modality Gap in Compositional Zero-Shot Learning via Sparse Alignment and Unimodal Memory Bank
CVPR 2026
Dual Graph Disambiguation for Multi-Instance Partial-Label Learning
AAAI 2026
AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
CVPR 2025
Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection
AAAI 2025
KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering
AAAI 2025
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning
IJCAI 2025
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning
IJCAI 2024
Continual Compositional Zero-Shot Learning
IJCAI 2024
Contrastive and View-Interaction Structure Learning for Multi-view Clustering
IJCAI 2024
EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization
ICML 2024
From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement
NeurIPS 2024
Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering
AAAI 2024
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering
AAAI 2024
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
AAAI 2024
Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization
ICCV 2023
Deep Partial Multi-Label Learning with Graph Disambiguation
IJCAI 2023
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
ICCV 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
Deformable Surface Tracking by Graph Matching
ICCV 2019
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition
AAAI 2019
Robust Object Tracking Based on Temporal and Spatial Deep Networks
ICCV 2017