Search Results for author: Xiaodong Yi

Found 4 papers, 1 papers with code

A Study on Training and Developing Large Language Models for Behavior Tree Generation

no code implementations16 Jan 2024 Fu Li, Xueying Wang, Bin Li, Yunlong Wu, Yanzhen Wang, Xiaodong Yi

The core contribution of this paper lies in the design of a BT generation framework based on LLM, which encompasses the entire process, from data synthesis and model training to application developing and data verification.

MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification

no code implementations17 Sep 2023 Junjie Zhu, Yiying Li, Chunping Qiu, Ke Yang, Naiyang Guan, Xiaodong Yi

In order to tackle these issues, we turn to the recently proposed parameter-efficient tuning methods, such as VPT, which updates only the newly added prompt parameters while keeping the pre-trained backbone frozen.

Data Augmentation Domain Adaptation +4

Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment

no code implementations13 Feb 2023 Shiwei Zhang, Xiaodong Yi, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin

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- heterogeneous ML clusters.

Combinatorial Optimization TAG

OneFlow: Redesign the Distributed Deep Learning Framework from Scratch

1 code implementation28 Oct 2021 Jinhui Yuan, Xinqi Li, Cheng Cheng, Juncheng Liu, Ran Guo, Shenghang Cai, Chi Yao, Fei Yang, Xiaodong Yi, Chuan Wu, Haoran Zhang, Jie Zhao

Aiming at a simple, neat redesign of distributed deep learning frameworks for various parallelism paradigms, we present OneFlow, a novel distributed training framework based on an SBP (split, broadcast and partial-value) abstraction and the actor model.

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