Songhe Feng
25 papers · 2017–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (9) π§ Keyword Pioneer π Academic Marathon (8) π Conference Polyglot (6) π Renaissance Researcher (6)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(37)
π
Keyword Champion
(3)
π€
Dynamic Duo
(10)
π
Century Club
(23)
π
Conference Pioneer
ποΈ
Keyword Collector
(101)
π₯
Unstoppable
(7)
β‘
Prolific Year
(8)
Conferences
AAAI (10)
IJCAI (8)
ICCV (4)
CVPR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
multi-view clustering
(7)
partial label learning
(3)
contrastive learning
(3)
multi-label classification
(3)
continual learning
(3)
graph neural network
(3)
partial multi-label learning
(3)
graph matching
(3)
catastrophic forgetting
(3)
multi-view multi-label learning
(2)
subspace clustering
(2)
knowledge distillation
(2)
low-rank tensor
(2)
label disambiguation
(2)
tensor decomposition
(2)
compositional zero-shot learning
(2)
multi-instance learning
(1)
label propagation
(1)
3d reconstruction
(1)
k-means clustering
(1)
Papers
Dual Graph Disambiguation for Multi-Instance Partial-Label Learning
AAAI 2026
Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation
AAAI 2026
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning
IJCAI 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
AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
CVPR 2025
From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement
NIPS 2024
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering
AAAI 2024
Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering
AAAI 2024
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
AAAI 2024
EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization
ICML 2024
Continual Compositional Zero-Shot Learning
IJCAI 2024
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning
IJCAI 2024
Contrastive and View-Interaction Structure Learning for Multi-view Clustering
IJCAI 2024
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
ICCV 2023
Deep Partial Multi-Label Learning with Graph Disambiguation
IJCAI 2023
MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning
AAAI 2023
Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization
ICCV 2023
Deep Graph Matching for Partial Label Learning
IJCAI 2022
Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning
AAAI 2022
GM-MLIC: Graph Matching based Multi-Label Image Classification
IJCAI 2021
Partial Multi-Label Learning via Multi-Subspace Representation
IJCAI 2020
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition
AAAI 2019
Deformable Surface Tracking by Graph Matching
ICCV 2019
Robust Object Tracking Based on Temporal and Spatial Deep Networks
ICCV 2017