Diandian Gu

Orcid: 0000-0002-3591-3892

According to our database1, Diandian Gu authored at least 10 papers between 2019 and 2025.

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

Timeline

2019
2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads.
IEEE Trans. Parallel Distributed Syst., February, 2025

2024
LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism.
CoRR, 2024

InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding.
CoRR, 2024

2023
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective.
ACM Trans. Softw. Eng. Methodol., November, 2023

Energy-Efficient GPU Clusters Scheduling for Deep Learning.
CoRR, 2023

ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
PROMAL: Precise Window Transition Graphs for Android via Synergy of Program Analysis and Machine Learning.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Demystifying Developers' Issues in Distributed Training of Deep Learning Software.
CoRR, 2021

2020
Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps.
ACM Trans. Web, 2020

2019
LinkRadar: Assisting the Analysis of Inter-app Page Links via Transfer Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019


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