Shao-Yuan Li
11 papers · 2017–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (8) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (32)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(5)
π
Century Club
(11)
ποΈ
Keyword Collector
(56)
Conferences
AAAI (5)
IJCAI (3)
NIPS (2)
ICML (1)
Top co-authors
Keywords
distribution shift
(2)
class imbalance
(2)
uncertainty quantification
(2)
contrastive learning
(1)
metric learning
(1)
semi-supervised learning
(1)
catastrophic forgetting
(1)
few-shot learning
(1)
online learning
(1)
probabilistic modeling
(1)
label propagation
(1)
batch normalization
(1)
model calibration
(1)
noisy label learning
(1)
knowledge distillation
(1)
feature learning
(1)
information extraction
(1)
multi-label classification
(1)
prompt-based learning
(1)
continual learning
(1)
Papers
HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition
AAAI 2026
Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion
AAAI 2026
Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning
ICML 2025
MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse
AAAI 2025
DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation
IJCAI 2025
NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes
IJCAI 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
NIPS 2024
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning
AAAI 2024
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends
NIPS 2023
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning
AAAI 2020
Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing
IJCAI 2017