34 citations · 61 across the 6 of their papers we have counts for
6 papers
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification
Junjie Zhu, Yiying Li, Chunping Qiu +3
Vision Transformer (ViT) models have recently emerged as powerful and versatile models for various visual tasks. Recently, a work called PMF has achieved promising results in few-s…
Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment
Shiwei Zhang, Xiaodong Yi, Lansong Diao +3
This paper presents TAG, an automatic system to derive optimized DNN training graph and its deployment onto any device topology, for expedited training in device- and topology- het…
Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion
Xiaodong Yi, Shiwei Zhang, Lansong Diao +6
This paper proposes DisCo, an automatic deep learning compilation module for data-parallel distributed training. Unlike most deep learning compilers that focus on training or infer…
Efficient Pipeline Planning for Expedited Distributed DNN Training
Ziyue Luo, Xiaodong Yi, Guoping Long +4
To train modern large DNN models, pipeline parallelism has recently emerged, which distributes the model across GPUs and enables different devices to process different microbatches…
OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
Jinhui Yuan, Xinqi Li, Cheng Cheng +9
Deep learning frameworks such as TensorFlow and PyTorch provide a productive interface for expressing and training a deep neural network (DNN) model on a single device or using dat…
NFVactor: A Resilient NFV System using the Distributed Actor Model
Jingpu Duan, Xiaodong Yi, Shixiong Zhao +3
Resilience functionality, including failure resilience and flow migration, is of pivotal importance in practical network function virtualization (NFV) systems. However, existing fa…