← Authors

Yihe Dong

8 papers · 2019–2025 · 3 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (17) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (5) πŸ‘‘ Triple Crown

Conferences

ICML (3) NIPS (3) ICLR (2)

Top co-authors

Piotr Indyk (2) Tal Wagner (2) Ilya Razenshteyn (2) Jerry Li (1) Will Sawin (1) Sourav Biswas (1) Jonathan Ullman (1) Rui Wang (1) Arturs Backurs (1) Andreas Loukas (1)

Research topics

Differential Privacy (1)

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