Mingcai Chen
10 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🏆 Grand Slam 🔥 Unstoppable · Bronze
💎
Century Club · Bronze
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Machine Learning
(9)
Learning Types · Machine Learning
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Deep Learning
(6)
Core Methods
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Artificial Intelligence
(4)
Application Areas
(3)
Learning Types · Deep Learning
(3)
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Core AI · Artificial Intelligence
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Computer Vision
(1)
Natural Language Processing
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Core AI · Computer Vision
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Keywords
semi-supervised learning
(3)
label noise
(2)
neural network
(2)
noisy label learning
(2)
out-of-distribution detection
(2)
feature extraction
(1)
few-shot learning
(1)
benchmark evaluation
(1)
data augmentation
(1)
multi-task learning
(1)
multimodal learning
(1)
test-time adaptation
(1)
model adaptation
(1)
sequence classification
(1)
multiple instance learning
(1)
uncertainty quantification
(1)
class imbalance
(1)
visual recognition
(1)
parameter-efficient transfer learning
(1)
label propagation
(1)
Papers
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models
AAAI 2026
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
AAAI 2025
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data
AAAI 2025
Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data
ICML 2025
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
ICLR 2024
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark
NeurIPS 2024
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
IJCAI 2023
READ: Aggregating Reconstruction Error into Out-of-Distribution Detection
AAAI 2023
Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise
AAAI 2023
Semi-supervised Learning with Multi-Head Co-Training
AAAI 2022