Hanpeng Hu

Orcid: 0009-0008-5787-5226

According to our database1, Hanpeng Hu authored at least 13 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DIP: Efficient Large Multimodal Model Training with Dynamic Interleaved Pipeline.
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025
NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale.
CoRR, August, 2025

Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model.
CoRR, June, 2025

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation.
CoRR, April, 2025

PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline.
CoRR, April, 2025

DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models.
Proceedings of the ACM SIGCOMM 2025 Conference, 2025

Optimizing RLHF Training for Large Language Models with Stage Fusion.
Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

2024
RLHFuse: Efficient RLHF Training for Large Language Models with Inter- and Intra-Stage Fusion.
CoRR, 2024

DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models.
CoRR, 2024

CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2022
dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training.
CoRR, 2022

dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2020
Distributed Machine Learning through Heterogeneous Edge Systems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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