Yijun Dong

Orcid: 0000-0002-3230-7459

According to our database1, Yijun Dong authored at least 23 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Attention Mechanisms Through the Lens of Numerical Methods: Approximation Methods and Alternative Formulations.
CoRR, April, 2026

When does Chain-of-Thought Help: A Markovian Perspective.
CoRR, March, 2026

A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula.
CoRR, February, 2026

2025
Randomized time stepping of nonlinearly parametrized solutions of evolution problems.
CoRR, December, 2025

Does Weak-to-strong Generalization Happen under Spurious Correlations?
CoRR, September, 2025

Adaptive Parallelizable Algorithms for Interpolative Decompositions via Partially Pivoted LU.
Numer. Linear Algebra Appl., February, 2025

Robust Blockwise Random Pivoting: Fast and Accurate Adaptive Interpolative Decomposition.
SIAM J. Matrix Anal. Appl., 2025

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining.
Proceedings of the Conference on Parsimony and Learning, 2025

2024
Efficient Bounds and Estimates for Canonical Angles in Randomized Subspace Approximations.
SIAM J. Matrix Anal. Appl., 2024

Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning.
CoRR, 2024

Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Simpler is better: a comparative study of randomized pivoting algorithms for CUR and interpolative decompositions.
Adv. Comput. Math., August, 2023

Randomized Dimension Reduction with Statistical Guarantees.
CoRR, 2023

Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering.
CoRR, 2023

Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PI-Parking: A Physics Informed Neural Network Approach for Parking Availability Prediction.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift.
Proceedings of the International Conference on Machine Learning, 2023

Sample Efficiency of Data Augmentation Consistency Regularization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
AdaWAC: Adaptively Weighted Augmentation Consistency Regularization for Volumetric Medical Image Segmentation.
CoRR, 2022

2021
Simpler is better: A comparative study of randomized algorithms for computing the CUR decomposition.
CoRR, 2021

2020
JLHS: A Joint Linear Frequency Modulation and Hyperbolic Frequency Modulation Approach for Speed Measurement.
IEEE Access, 2020

2017
On the Development of a Control System for a Small Bio-Methane Gas Engine Generator.
Int. J. Autom. Technol., 2017


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