Yihe Dong
8 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (3)
π
Academic Marathon
(6)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(5)
π
Triple Crown
Conferences
ICML (3)
NIPS (3)
ICLR (2)
Top co-authors
Research topics
Keywords
optimal transport
(2)
differential privacy
(1)
transformer architecture
(1)
graph classification
(1)
mean estimation
(1)
covariance estimation
(1)
graph representation
(1)
neural network optimization
(1)
high-dimensional statistics
(1)
outlier detection
(1)
nearest neighbor search
(1)
statistical estimation
(1)
approximation algorithm
(1)
adversarial corruption
(1)
inductive bia
(1)
subgaussian distribution
(1)
multilayer perceptron
(1)
skip connection
(1)
self-attention network
(1)
sub-gaussian distribution
(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
COPT: Coordinated Optimal Transport on Graphs
NIPS 2020
Learning Space Partitions for Nearest Neighbor Search
ICLR 2020
Scalable Nearest Neighbor Search for Optimal Transport
ICML 2020
CoinPress: Practical Private Mean and Covariance Estimation
NIPS 2020
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
NIPS 2019