Yeqi Gao

According to our database1, Yeqi Gao authored at least 14 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Binary Hypothesis Testing for Softmax Models and Leverage Score Models.
CoRR, 2024

Quantum Speedup for Spectral Approximation of Kronecker Products.
CoRR, 2024

A Sublinear Adversarial Training Algorithm.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time.
CoRR, 2023

GradientCoin: A Peer-to-Peer Decentralized Large Language Models.
CoRR, 2023

Fast Quantum Algorithm for Attention Computation.
CoRR, 2023

In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick.
CoRR, 2023

Differentially Private Attention Computation.
CoRR, 2023

An Iterative Algorithm for Rescaled Hyperbolic Functions Regression.
CoRR, 2023

An Over-parameterized Exponential Regression.
CoRR, 2023

Solving Tensor Low Cycle Rank Approximation.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
An O(k log n) Time Fourier Set Query Algorithm.
CoRR, 2022

2021
Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms.
CoRR, 2021

Brief Industry Paper: optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021


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