Dong Yuan
15 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (35)
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(2)
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(85)
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Century Club Β· Bronze
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The Questioner
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Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(8)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Computer Vision
(3)
Analysis
(3)
Architectures
(3)
Learning Paradigms
(3)
Mathematics & Optimization
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Techniques
(2)
Computer Science
(1)
Keywords
large language model
(3)
partial multi-label learning
(2)
online algorithm
(2)
competitive analysis
(2)
multi-label classification
(2)
federated learning
(2)
label disambiguation
(2)
medical note generation
(2)
ground-truth label
(2)
robot navigation
(1)
text summarization
(1)
metric learning
(1)
point cloud
(1)
deep learning
(1)
transformer architecture
(1)
information extraction
(1)
time series forecasting
(1)
embedding learning
(1)
benchmark evaluation
(1)
mutual information
(1)
Papers
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning
AAAI 2026
Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?
AAAI 2026
PUMPS: Skeleton-Agnostic Point-based Universal Motion Pre-Training for Synthesis in Human Motion Tasks
ICCV 2025
SpecialtyScribe: Enhancing SOAP note Scribing for Medical Specialties using LLMβs
NAACL 2025
A Continued Pretrained LLM Approach for Automatic Medical Note Generation
NAACL 2024
BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
NeurIPS 2024
Cross-Attention Between Satellite and Ground Views for Enhanced Fine-Grained Robot Geo-Localization
WACV 2024
Motion Keyframe Interpolation for Any Human Skeleton using Point Cloud-based Human Motion Data Homogenisation
ECCV 2024
Competitive Analysis for Multi-Commodity Ski-Rental Problem
IJCAI 2022
Partial Label Learning via Label Influence Function
ICML 2022
Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings
AAAI 2022
Competitive Analysis for Two-Level Ski-Rental Problem
AAAI 2021
Fast Multi-label Learning
IJCAI 2021
Understanding Partial Multi-Label Learning via Mutual Information
NeurIPS 2021
Online Metric Learning for Multi-Label Classification
AAAI 2020