Yihe Dong

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Structured And Unstructured Data

Outlier Detection

Temporal Evolution

Feature Engineering

Top Venues

Publications

Yihe Dong, Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
Learned Feature Importance Scores for Automated Feature Engineering. CoRR (2024)
Chuizheng Meng, Yihe Dong, Sercan Ö. Arik, Yan Liu, Tomas Pfister
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning. CoRR (2023)
Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner
Learning Space Partitions for Nearest Neighbor Search. IEEE Data Eng. Bull. 46 (3) (2023)
Sayna Ebrahimi, Sercan Ö. Arik, Yihe Dong, Tomas Pfister
LANISTR: Multimodal Learning from Structured and Unstructured Data. CoRR (2023)
Yihe Dong, Sercan Ö. Arik
SLM: End-to-end Feature Selection via Sparse Learnable Masks. CoRR (2023)
Rui Wang, Yihe Dong, Sercan Ö. Arik, Rose Yu
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts. ICLR (2023)
Rui Wang, Yihe Dong, Sercan Ö. Arik, Rose Yu
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts. CoRR (2022)
Yihe Dong, Jean-Baptiste Cordonnier, Andreas Loukas
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth. CoRR (2021)
Yihe Dong, Jean-Baptiste Cordonnier, Andreas Loukas
Attention is not all you need: pure attention loses rank doubly exponentially with depth. ICML (2021)
Yihe Dong, Will Sawin
COPT: Coordinated Optimal Transport on Graphs. CoRR (2020)
Sourav Biswas, Yihe Dong, Gautam Kamath, Jonathan R. Ullman
CoinPress: Practical Private Mean and Covariance Estimation. CoRR (2020)
Yu Liu, Qinyao Luo, Hang Shen, Sida Zhuang, Chen Xu, Yihe Dong, Yukai Sun, Shaochen Wang, Hao Deng
Social Media Big Data-Based Research on the Influencing Factors of Insomnia and Spatiotemporal Evolution. IEEE Access 8 (2020)
Yihe Dong, Yu Gao, Richard Peng, Ilya P. Razenshteyn, Saurabh Sawlani
A Study of Performance of Optimal Transport. CoRR (2020)
Yihe Dong, Will Sawin
COPT: Coordinated Optimal Transport on Graphs. NeurIPS (2020)
Yihe Dong, Will Sawin, Yoshua Bengio
HNHN: Hypergraph Networks with Hyperedge Neurons. CoRR (2020)
Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya P. Razenshteyn, M. Sadegh Riazi
SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search. USENIX Security Symposium (2020)
Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner
Learning Space Partitions for Nearest Neighbor Search. ICLR (2020)
Sourav Biswas, Yihe Dong, Gautam Kamath, Jonathan R. Ullman
CoinPress: Practical Private Mean and Covariance Estimation. NeurIPS (2020)
Arturs Backurs, Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner
Scalable Nearest Neighbor Search for Optimal Transport. ICML (2020)
Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya P. Razenshteyn, M. Sadegh Riazi
SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search. IACR Cryptol. ePrint Arch. 2019 (2019)
Yihe Dong, Samuel B. Hopkins, Jerry Li
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection. NeurIPS (2019)
Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner
Learning Sublinear-Time Indexing for Nearest Neighbor Search. CoRR (2019)
Yihe Dong, Samuel B. Hopkins, Jerry Li
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection. CoRR (2019)
Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner
Scalable Nearest Neighbor Search for Optimal Transport. CoRR (2019)
Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya P. Razenshteyn, M. Sadegh Riazi
SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search. CoRR (2019)
Yihe Dong
NLP and Large-Scale Information Retrieval on Mathematical Texts. ICMS (2018)
Yihe Dong
NLP-Based Detection of Mathematics Subject Classification. ICMS (2018)