Haoliang Sun
11 papers · 2017–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (8)
πΊοΈ
Taxonomy Completionist
(36)
π
Conference Polyglot
(6)
π
Academic Marathon
(8)
π
Keyword Champion
(2)
π
Century Club
(10)
ποΈ
Keyword Collector
(59)
Conferences
CVPR (4)
AAAI (2)
IJCAI (2)
ECCV (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
representation learning
(2)
multi-view representation learning
(2)
feature fusion
(2)
few-shot learning
(2)
kernel methods
(2)
knowledge transfer
(1)
metric learning
(1)
contrastive learning
(1)
multi-label learning
(1)
hierarchical learning
(1)
prototype learning
(1)
noisy label learning
(1)
continual learning
(1)
data augmentation
(1)
network pruning
(1)
variational inference
(1)
policy learning
(1)
fine-grained classification
(1)
supervised contrastive learning
(1)
multi-label classification
(1)
Papers
MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping
AAAI 2026
Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning
AAAI 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
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
IJCAI 2025
MetaViewer: Towards a Unified Multi-View Representation
CVPR 2023
Fine-Grained Classification With Noisy Labels
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