Binhang Yuan | DeepAI

DeepAI AI Chat

Featured Co-authors

Philip S. Yu
299 publications
Percy Liang
165 publications
Ji Liu
135 publications
Ce Zhang
133 publications
Christopher Ré
125 publications
Jue Wang
107 publications
Joseph E. Gonzalez
99 publications
Jieping Ye
93 publications
Tianyi Zhang
86 publications
Christopher D. Manning
79 publications
Ion Stoica
74 publications

∙ 05/31/2023

Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning

The relational data model was designed to facilitate large-scale data ma...

0 Yuxin Tang, et al. ∙

∙ 03/13/2023

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

The high computational and memory requirements of large language model (...

0 Ying Sheng, et al. ∙

∙ 11/16/2022

Holistic Evaluation of Language Models

Language models (LMs) are becoming the foundation for almost all major l...

21 Percy Liang, et al. ∙

∙ 06/12/2022

Stochastic Gradient Descent without Full Data Shuffle

Stochastic gradient descent (SGD) is the cornerstone of modern machine l...

39 Lijie Xu, et al. ∙

∙ 06/02/2022

Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees

Communication compression is a crucial technique for modern distributed ...

1 Jue Wang, et al. ∙

∙ 06/02/2022

Decentralized Training of Foundation Models in Heterogeneous Environments

Training foundation models, such as GPT-3 and PaLM, can be extremely exp...

8 Binhang Yuan, et al. ∙

∙ 09/01/2020

Tensor Relational Algebra for Machine Learning System Design

Machine learning (ML) systems have to support various tensor operations....

0 Binhang Yuan, et al. ∙

∙ 06/30/2020

Lachesis: Automated Generation of Persistent Partitionings for UDF-Centric Analytics

Persistent partitioning is effective in avoiding expensive shuffling ope...

0 Jia Zou, et al. ∙

∙ 05/07/2020

A Federated Learning Framework for Healthcare IoT devices

The Internet of Things (IoT) revolution has shown potential to give rise...

0 Binhang Yuan, et al. ∙

∙ 10/04/2019

Distributed Learning of Deep Neural Networks using Independent Subnet Training

Stochastic gradient descent (SGD) is the method of choice for distribute...

0 Binhang Yuan, et al. ∙

∙ 08/15/2019

Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks

We train an enhanced deep convolutional neural network in order to ident...

0 Binhang Yuan, et al. ∙

∙ 04/25/2019

Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning

A number of popular systems, most notably Google's TensorFlow, have been...

0 Dimitrije Jankov, et al. ∙

∙ 02/14/2019

WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection

Wind power, as an alternative to burning fossil fuels, is plentiful and ...

10 Binhang Yuan, et al. ∙

∙ 11/15/2017

PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development

This paper describes PlinyCompute, a system for development of high-perf...

0 Jia Zou, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world