197 citations · 367 across the 23 of their papers we have counts for
6 papers · 1 filter
Time-of-use Pricing for Energy Storage Investment
Dongwei Zhao, Hao Wang, Jianwei Huang +1
Time-of-use (ToU) pricing is widely used by the electricity utility to shave peak load. Such a pricing scheme provides users with incentives to invest in behind-the-meter energy st…
A Case for Sampling Based Learning Techniques in Coflow Scheduling
Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin
Coflow scheduling improves data-intensive application performance by improving their networking performance. State-of-the-art online coflow schedulers in essence approximate the cl…
The Case for Task Sampling based Learning for Cluster Job Scheduling
Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin +1
The ability to accurately estimate job runtime properties allows a scheduler to effectively schedule jobs. State-of-the-art online cluster job schedulers use history-based learning…
Student-Teacher Learning from Clean Inputs to Noisy Inputs
Guanzhe Hong, Zhiyuan Mao, Xiaojun Lin +1
Feature-based student-teacher learning, a training method that encourages the student's hidden features to mimic those of the teacher network, is empirically successful in transfer…
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
Peizhong Ju, Xiaojun Lin, Ness B. Shroff
In this paper, we study the generalization performance of min -norm overfitting solutions for the neural tangent kernel (NTK) model of a two-layer neural network with ReLU…
The Power of -hops in Matching Power-Law Graphs
Liren Yu, Jiaming Xu, Xiaojun Lin
This paper studies seeded graph matching for power-law graphs. Assume that two edge-correlated graphs are independently edge-sampled from a common parent graph with a power-law deg…