Rongmei Lin
8 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Silver
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Keyword Champion
(3)
π§
Keyword Pioneer
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Trend Setter
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory Β· Machine Learning
(5)
Deep Learning
(4)
Application Areas
(4)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Speech & Audio
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Keywords
neural network regularization
(3)
hyperspherical energy
(3)
multimodal learning
(2)
neural network optimization
(2)
representation learning
(1)
metric learning
(1)
feature learning
(1)
weakly supervised learning
(1)
information extraction
(1)
feature embedding
(1)
energy minimization
(1)
automatic speech recognition
(1)
visual representation
(1)
privacy-preserving learning
(1)
generalization ability
(1)
l2 regularization
(1)
convolutional neural network
(1)
inductive bia
(1)
synthetic data
(1)
data quality
(1)
Papers
Train a Unified Multimodal Data Quality Classifier with Synthetic Data
EMNLP 2025
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction
ACL 2023
Federated Pruning: Improving Neural Network Efficiency with Federated Learning
Interspeech 2022
Learning with Hyperspherical Uniformity
AISTATS 2021
Orthogonal Over-Parameterized Training
CVPR 2021
Regularizing Neural Networks via Minimizing Hyperspherical Energy
CVPR 2020
Decoupled Networks
CVPR 2018
Learning towards Minimum Hyperspherical Energy
NeurIPS 2018