Haoliang Sun
11 papers · 2017–2026 · 6 venues · across top CS/AI venues
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representation learning
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multi-view representation learning
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feature fusion
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kernel methods
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knowledge transfer
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metric learning
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contrastive learning
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multi-label learning
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prototype learning
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continual learning
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data augmentation
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network pruning
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variational inference
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policy learning
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fine-grained classification
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supervised contrastive learning
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Papers
MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping
AAAI 2026
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
IJCAI 2025
SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning
CVPR 2025
Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction
IJCAI 2025
Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning
AAAI 2025
Fine-Grained Classification With Noisy Labels
CVPR 2023
MetaViewer: Towards a Unified Multi-View Representation
CVPR 2023
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization
ECCV 2022
Learning to Learn Kernels with Variational Random Features
ICML 2020
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
ICCV 2019
Learning Deep Match Kernels for Image-Set Classification
CVPR 2017