Search Results for author: Deshi Ye

Found 2 papers, 2 papers with code

Accelerating Diffusion Sampling with Classifier-based Feature Distillation

1 code implementation22 Nov 2022 Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen

Instead of aligning output images, we distill teacher's sharpened feature distribution into the student with a dataset-independent classifier, making the student focus on those important features to improve performance.

A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers

1 code implementation10 Jan 2019 Jian-hai Chen, Deshi Ye, Shouling Ji, Qinming He, Yang Xiang, Zhenguang Liu

Next, we prove that our mechanism is an FPTAS, i. e., it can be approximated within $1 + \epsilon$ for any given $\epsilon > 0$, while the running time of our mechanism is polynomial in $n$ and $1/\epsilon$, where $n$ is the number of tenants in the datacenter.

Computer Science and Game Theory

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