Optimus: an efficient dynamic resource scheduler for deep learning clusters. - Yanghua Peng; Yixin Bao; Yangrui Chen; Chuan Wu 001; Chuanxiong Guo (EuroSys, 2018)

A generic communication scheduler for distributed DNN training acceleration. - Yanghua Peng; Yibo Zhu; Yangrui Chen; Yixin Bao; Bairen Yi; Chang Lan; Chuan Wu 001; Chuanxiong Guo (SOSP, 2019)

Elastic parameter server load distribution in deep learning clusters. - Yangrui Chen; Yanghua Peng; Yixin Bao; Chuan Wu 001; Yibo Zhu; Chuanxiong Guo (SoCC, 2020)

Preemptive All-reduce Scheduling for Expediting Distributed DNN Training. - Yixin Bao; Yanghua Peng; Yangrui Chen; Chuan Wu 001 (INFOCOM, 2020)

DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters. - Yanghua Peng; Yixin Bao; Yangrui Chen; Chuan Wu 001; Chen Meng; Wei Lin 016 (IEEE Trans. Parallel Distributed Syst., 2021)

SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training. - Yangrui Chen; Cong Xie; Meng Ma; Juncheng Gu; Yanghua Peng; Haibin Lin; Chuan Wu 001; Yibo Zhu (NeurIPS, 2022)

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. - Tianfeng Liu; Yangrui Chen; Dan Li 001; Chuan Wu 001; Yibo Zhu; Jun He; Yanghua Peng; Hongzheng Chen; Hongzhi Chen; Chuanxiong Guo (NSDI, 2023)

Prediction of the static load test results of bridges based on the dynamic load test and the Kriging model. - Pengzhen Lu; Dengguo Li; Yangrui Chen (Artif. Intell. Rev., 2023)

SP-GNN: Learning structure and position information from graphs. - Yangrui Chen; Jiaxuan You; Jun He; Yuan Lin; Yanghua Peng; Chuan Wu 001; Yibo Zhu (Neural Networks, 2023)

MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. - Ziheng Jiang; Haibin Lin; Yinmin Zhong; Qi Huang; Yangrui Chen; Zhi Zhang; Yanghua Peng; Xiang Li 067; Cong Xie; Shibiao Nong; Yulu Jia; Sun He; et al. (NSDI, 2024)

Fast evaluation method of post-impact performance of bridges based on dynamic load test data using Gaussian process regression. - Pengzhen Lu; Yiheng Ma; Ying Wu; Dengguo Li; Tian Jin; Zhenjia Li; Yangrui Chen (Eng. Appl. Artif. Intell., 2024)

Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation. - Weiqi Feng; Yangrui Chen; Shaoyu Wang; Yanghua Peng; Haibin Lin; Minlan Yu (USENIX ATC, 2025)

OVERLORD: Ultimate Scaling of DataLoader for Multi-Source Large Foundation Model Training. - Juntao Zhao; Qi Lu; Wei Jia; Borui Wan; Lei Zuo; Junda Feng; Jianyu Jiang; Yangrui Chen; Shuaishuai Cao; Jialing He; Kaihua Jiang; Yuanzhe Hu; et al. (CoRR, 2025)

Seed1.5-VL Technical Report. - Dong Guo; Faming Wu; Feida Zhu 005; Fuxing Leng; Guang Shi; Haobin Chen; Haoqi Fan 001; Jian Wang; Jianyu Jiang; Jiawei Wang; Jingji Chen; Jingjia Huang; et al. (CoRR, 2025)