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2020 – today
- 2025
[i17]Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi, Danqi Chen:
Metadata Conditioning Accelerates Language Model Pre-training. CoRR abs/2501.01956 (2025)- 2024
- [i16]Yihe Dong, Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister:
Learned Feature Importance Scores for Automated Feature Engineering. CoRR abs/2406.04153 (2024) - [i15]Yihe Dong:
AdaRank: Disagreement Based Module Rank Prediction for Low-rank Adaptation. CoRR abs/2408.09015 (2024) - 2023
- [j2]Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Learning Space Partitions for Nearest Neighbor Search. IEEE Data Eng. Bull. 46(3): 55-68 (2023) - [c10]Rui Wang, Yihe Dong, Sercan Ö. Arik, Rose Yu:
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts. ICLR 2023 - [i14]Yihe Dong, Sercan Ö. Arik:
SLM: End-to-end Feature Selection via Sparse Learnable Masks. CoRR abs/2304.03202 (2023) - [i13]Sayna Ebrahimi, Sercan Ö. Arik, Yihe Dong, Tomas Pfister:
LANISTR: Multimodal Learning from Structured and Unstructured Data. CoRR abs/2305.16556 (2023) - [i12]Chuizheng Meng, Yihe Dong, Sercan Ö. Arik, Yan Liu, Tomas Pfister:
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning. CoRR abs/2311.00886 (2023) - 2022
- [i11]Rui Wang, Yihe Dong, Sercan Ö. Arik, Rose Yu:
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts. CoRR abs/2210.03675 (2022) - 2021
- [c9]Yihe Dong, Jean-Baptiste Cordonnier, Andreas Loukas:
Attention is not all you need: pure attention loses rank doubly exponentially with depth. ICML 2021: 2793-2803 - [i10]Yihe Dong, Jean-Baptiste Cordonnier, Andreas Loukas:
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth. CoRR abs/2103.03404 (2021) - 2020
- [j1]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: 41516-41529 (2020) - [c8]Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Learning Space Partitions for Nearest Neighbor Search. ICLR 2020 - [c7]Arturs Backurs, Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Scalable Nearest Neighbor Search for Optimal Transport. ICML 2020: 497-506 - [c6]Sourav Biswas, Yihe Dong, Gautam Kamath, Jonathan R. Ullman:
CoinPress: Practical Private Mean and Covariance Estimation. NeurIPS 2020 - [c5]Yihe Dong, Will Sawin:
COPT: Coordinated Optimal Transport on Graphs. NeurIPS 2020 - [c4]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: 2111-2128 - [i9]Yihe Dong, Will Sawin:
COPT: Coordinated Optimal Transport on Graphs. CoRR abs/2003.03892 (2020) - [i8]Yihe Dong, Yu Gao, Richard Peng, Ilya P. Razenshteyn, Saurabh Sawlani:
A Study of Performance of Optimal Transport. CoRR abs/2005.01182 (2020) - [i7]Sourav Biswas, Yihe Dong, Gautam Kamath, Jonathan R. Ullman:
CoinPress: Practical Private Mean and Covariance Estimation. CoRR abs/2006.06618 (2020) - [i6]Yihe Dong, Will Sawin, Yoshua Bengio:
HNHN: Hypergraph Networks with Hyperedge Neurons. CoRR abs/2006.12278 (2020)
2010 – 2019
- 2019
- [c3]Yihe Dong, Samuel B. Hopkins, Jerry Li:
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection. NeurIPS 2019: 6065-6075 - [i5]Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Learning Sublinear-Time Indexing for Nearest Neighbor Search. CoRR abs/1901.08544 (2019) - [i4]Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya P. Razenshteyn, M. Sadegh Riazi:
SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search. CoRR abs/1904.02033 (2019) - [i3]Yihe Dong, Samuel B. Hopkins, Jerry Li:
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection. CoRR abs/1906.11366 (2019) - [i2]Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Scalable Nearest Neighbor Search for Optimal Transport. CoRR abs/1910.04126 (2019) - [i1]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: 359 (2019) - 2018
- [c2]Yihe Dong:
NLP-Based Detection of Mathematics Subject Classification. ICMS 2018: 147-155 - [c1]Yihe Dong:
NLP and Large-Scale Information Retrieval on Mathematical Texts. ICMS 2018: 156-164
Coauthor Index
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