Yangrui Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Gaussian Process Regression

Frequent Subgraph Mining

Top Venues

Artif. Intell. Rev.

Publications

Pengzhen Lu, Yiheng Ma, Ying Wu, Dengguo Li, Tian Jin, Zhenjia Li, Yangrui Chen
Fast evaluation method of post-impact performance of bridges based on dynamic load test data using Gaussian process regression. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. NSDI (2024)
Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. CoRR (2024)
Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. NSDI (2023)
Pengzhen Lu, Dengguo Li, Yangrui Chen
Prediction of the static load test results of bridges based on the dynamic load test and the Kriging model. Artif. Intell. Rev. 56 (8) (2023)
Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu
SP-GNN: Learning structure and position information from graphs. Neural Networks 161 (2023)
Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu, Yibo Zhu
SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training. NeurIPS (2022)
Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei Lin
DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters. IEEE Trans. Parallel Distributed Syst. 32 (8) (2021)
Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. CoRR (2021)
Yixin Bao, Yanghua Peng, Yangrui Chen, Chuan Wu
Preemptive All-reduce Scheduling for Expediting Distributed DNN Training. INFOCOM (2020)
Yangrui Chen, Yanghua Peng, Yixin Bao, Chuan Wu, Yibo Zhu, Chuanxiong Guo
Elastic parameter server load distribution in deep learning clusters. SoCC (2020)
Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei Lin
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters. CoRR (2019)
Yanghua Peng, Yibo Zhu, Yangrui Chen, Yixin Bao, Bairen Yi, Chang Lan, Chuan Wu, Chuanxiong Guo
A generic communication scheduler for distributed DNN training acceleration. SOSP (2019)
Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chuanxiong Guo
Optimus: an efficient dynamic resource scheduler for deep learning clusters. EuroSys (2018)