Yuhua Qian
20 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
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Conferences
AAAI (7)
IJCAI (6)
ICML (3)
ICCV (1)
ICLR (1)
JMLR (1)
NIPS (1)
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Keywords
neural architecture search
(3)
evolutionary algorithm
(3)
multi-modal classification
(3)
knowledge distillation
(2)
speech enhancement
(2)
clustering ensemble
(2)
fractional fourier transform
(2)
label noise
(2)
feature learning
(1)
multi-view fusion
(1)
multi-task learning
(1)
attention mechanism
(1)
knowledge transfer
(1)
weakly supervised learning
(1)
causal inference
(1)
sparse representation
(1)
feature selection
(1)
reinforcement learning
(1)
deep clustering
(1)
k-means clustering
(1)
Papers
Signal Enhancement via Multi-view Dynamic Representation and Alignment-aware Fusion
AAAI 2026
Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels
AAAI 2026
Stabilizing Sample Similarity in Representation via Mitigating Random Consistency
ICML 2025
k-HyperEdge Medoids for Clustering Ensemble
AAAI 2025
PASD: A Pixel-Adaptive Swarm Dynamics Approach for Unsupervised Low-Light Image Enhancement
ICCV 2025
Trusted Multi-View Classification via Evolutionary Multi-View Fusion
ICLR 2025
Robust Automatic Modulation Classification with Fuzzy Regularization
ICML 2025
Trusted Multi-View Classification with Expert Knowledge Constraints
ICML 2025
Frequency-Aware Deep Depth from Focus
IJCAI 2025
A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharing
IJCAI 2025
A Multi-view Fusion Approach for Enhancing Speech Signals via Short-time Fractional Fourier Transform
IJCAI 2025
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization
AAAI 2025
Learning Multi-Task Sparse Representation Based on Fisher Information
AAAI 2024
PHSIC against Random Consistency and Its Application in Causal Inference
IJCAI 2024
Deep Embedding Clustering Driven by Sample Stability
IJCAI 2024
Core-Structures-Guided Multi-Modal Classification Neural Architecture Search
IJCAI 2024
DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification
AAAI 2024
Neural Collapse To Multiple Centers For Imbalanced Data
NIPS 2024
A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective
JMLR 2021
GoT: a Growing Tree Model for Clustering Ensemble
AAAI 2021