Youhe Jiang

According to our database, Youhe Jiang authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cascadia: A Cascade Serving System for Large Language Models.

Youhe Jiang, Fangcheng Fu, Wanru Zhao, Stephan Rabanser, Nicholas D. Lane, Binhang Yuan

CoRR, June, 2025

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately.

Yuhang Wang, Youhe Jiang, Bin Cui, Fangcheng Fu

CoRR, May, 2025

HEXGEN-TEXT2SQL: Optimizing LLM Inference Request Scheduling for Agentic Text-to-SQL Workflow.

You Peng, Youhe Jiang, Chen Wang, Binhang Yuan

CoRR, May, 2025

ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments.

Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Taiyi Wang, Bin Cui, Ana Klimovic, Eiko Yoneki

CoRR, February, 2025

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs.

Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki

CoRR, February, 2025

HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment.

Youhe Jiang, Ran Yan, Binhang Yuan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Improving Automatic Parallel Training via Balanced Memory Workload Optimization.

Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Shenhan Zhu, Xiaonan Nie, Yaofeng Tu, Bin Cui

IEEE Trans. Knowl. Data Eng., 2024

Revisiting the Time Cost Model of AllReduce.

Dian Xiong, Li Chen, Youhe Jiang, Dan Li, Shuai Wang, Songtao Wang

CoRR, 2024

FlashFlex: Accommodating Large Language Model Training over Heterogeneous Environment.

Ran Yan, Youhe Jiang, Wangcheng Tao, Xiaonan Nie, Bin Cui, Binhang Yuan

CoRR, 2024

GNNFingers: A Fingerprinting Framework for Verifying Ownerships of Graph Neural Networks.

Xiaoyu You, Youhe Jiang, Jianwei Xu, Mi Zhang, Min Yang

Proceedings of the ACM on Web Conference 2024, 2024

HexGen: Generative Inference of Large Language Model over Heterogeneous Environment.

Youhe Jiang, Ran Yan, Xiaozhe Yao, Yang Zhou, Beidi Chen, Binhang Yuan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

HexGen: Generative Inference of Foundation Model over Heterogeneous Decentralized Environment.

Youhe Jiang, Ran Yan, Xiaozhe Yao, Beidi Chen, Binhang Yuan

CoRR, 2023

Improving Automatic Parallel Training via Balanced Memory Workload Optimization.

Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Xiaonan Nie, Bin Cui

CoRR, 2023

OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning.

Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism.

Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui

Proc. VLDB Endow., 2022

OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning.

Youhe Jiang, Xupeng Miao, Xiaonan Nie, Bin Cui

CoRR, 2022

2020

2D-HRA: Two-Dimensional Hierarchical Ring-Based All-Reduce Algorithm in Large-Scale Distributed Machine Learning.

Youhe Jiang, Huaxi Gu, Yunfeng Lu, Xiaoshan Yu

IEEE Access, 2020