Shao-Yuan Li
11 papers · 2017–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31) 💎 Century Club · Bronze
🗃️
Keyword Collector
(58)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Learning Types · Machine Learning
(7)
Artificial Intelligence
(5)
Core Methods
(5)
Deep Learning
(4)
Learning Types · Deep Learning
(4)
Application Areas
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Analysis
(2)
Core AI
(2)
Learning Paradigms
(2)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Keywords
uncertainty quantification
(2)
experience replay
(2)
pre-trained model
(2)
continual learning
(2)
test-time adaptation
(2)
distribution shift
(2)
class imbalance
(2)
semi-supervised learning
(1)
metric learning
(1)
contrastive learning
(1)
label propagation
(1)
probabilistic modeling
(1)
model calibration
(1)
noisy label learning
(1)
online learning
(1)
catastrophic forgetting
(1)
multi-label classification
(1)
information extraction
(1)
prompt-based learning
(1)
few-shot 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
DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation
IJCAI 2025
MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse
AAAI 2025
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
NeurIPS 2024
NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes
IJCAI 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
NeurIPS 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