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Peng Liang

Orcid: 0000-0002-5590-5179

Affiliations:
  • National University of Defence Technology, Changsha, China


According to our database1, Peng Liang authored at least 10 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Parallelsim: an accurate, generic, and efficient simulator for distributed deep learning.
[BibTeX]
[DOI]
Peng Liang
,
Linbo Qiao
,
Zhiquan Lai
,
Dong Sheng Li
CCF Trans. High Perform. Comput., April, 2026

ParaDySe: A Parallel Strategy Switching Framework for Dynamic Sequences in Transformer-based Large Language Models.
[BibTeX]
[DOI]
Zhixin Ou
,
Peng Liang
,
Linbo Qiao
,
Jianchen Han
,
Baihui Liu
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
ParaDySe: A Parallel-Strategy Switching Framework for Dynamic Sequence Lengths in Transformer.
[BibTeX]
[DOI]
Zhixin Ou
,
Peng Liang
,
Jianchen Han
,
Baihui Liu
,
Linbo Qiao
CoRR, November, 2025

Memory-efficient tensor parallelism for long-sequence Transformer training.
[BibTeX]
[DOI]
Peng Liang
,
Linbo Qiao
,
Yanqi Shi
,
Hao Zheng
,
Yu Tang
,
Dongsheng Li
Frontiers Inf. Technol. Electron. Eng., May, 2025

Training large-scale language models with limited GPU memory: a survey.
[BibTeX]
[DOI]
Yu Tang
,
Linbo Qiao
,
Lujia Yin
,
Peng Liang
,
Ao Shen
,
Zhilin Yang
,
Lizhi Zhang
,
Dongsheng Li
Frontiers Inf. Technol. Electron. Eng., March, 2025

Automatic parallelism strategy generation with minimal memory redundancy.
[BibTeX]
[DOI]
Yanqi Shi
,
Peng Liang
,
Hao Zheng
,
Linbo Qiao
,
Dongsheng Li
Frontiers Inf. Technol. Electron. Eng., January, 2025

2024
3D Parallelism for Transformers via Integer Programming.
[BibTeX]
[DOI]
Hao Zheng
,
Peng Liang
,
Yu Tang
,
Yanqi Shi
,
Linbo Qiao
,
Dongsheng Li
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
A Survey on Auto-Parallelism of Large-Scale Deep Learning Training.
[BibTeX]
[DOI]
Peng Liang
,
Yu Tang
,
Xiaoda Zhang
,
Youhui Bai
,
Teng Su
,
Zhiquan Lai
,
Linbo Qiao
,
Dongsheng Li
IEEE Trans. Parallel Distributed Syst., August, 2023

TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks.
[BibTeX]
[DOI]
Peng Liang
,
Hao Zheng
,
Teng Su
,
Linbo Qiao
,
Dongsheng Li
CoRR, 2023

2022
HPH: Hybrid Parallelism on Heterogeneous Clusters for Accelerating Large-scale DNNs Training.
[BibTeX]
[DOI]
Yabo Duan
,
Zhiquan Lai
,
Shengwei Li
,
Weijie Liu
,
Keshi Ge
,
Peng Liang
,
Dongsheng Li
Proceedings of the IEEE International Conference on Cluster Computing, 2022


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