Yihe Dong
8 papers · 2019–2025 · 3 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 Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (21)
π
Triple Crown
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Mathematics & Optimization
(4)
Deep Learning
(3)
Application Areas
(3)
Architectures
(3)
Core Methods
(3)
Mathematics
(3)
Optimization
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Applications
(1)
Core AI
(1)
Keywords
optimal transport
(2)
nearest neighbor search
(2)
transformer architecture
(1)
high-dimensional statistics
(1)
mean estimation
(1)
covariance estimation
(1)
neural network optimization
(1)
statistical estimation
(1)
inductive bia
(1)
outlier detection
(1)
graph representation
(1)
locality sensitive hashing
(1)
time series forecasting
(1)
supervised classification
(1)
graph classification
(1)
graph partitioning
(1)
approximation algorithm
(1)
adversarial corruption
(1)
differential privacy
(1)
wasserstein distance
(1)
Papers
Metadata Conditioning Accelerates Language Model Pre-training
ICML 2025
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
ICLR 2023
Attention is not all you need: pure attention loses rank doubly exponentially with depth
ICML 2021
CoinPress: Practical Private Mean and Covariance Estimation
NeurIPS 2020
COPT: Coordinated Optimal Transport on Graphs
NeurIPS 2020
Learning Space Partitions for Nearest Neighbor Search
ICLR 2020
Scalable Nearest Neighbor Search for Optimal Transport
ICML 2020
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
NeurIPS 2019