Youhe Jiang - RankMe

30 papers A* 5Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BOute: Cost-Efficient LLM Serving with Heterogeneous LLMs and GPUs via Multi-Objective Bayesian Optimization. CoRR Youhe Jiang, Fangcheng Fu, Eiko Yoneki
2026	J	`jnl`	Efficient Multi-round LLM Inference over Disaggregated Serving. CoRR Wenhao He, Youhe Jiang, Penghao Zhao, Quanqing Xu, Eiko Yoneki, Bin Cui, Fangcheng Fu
2026	J	`jnl`	OServe: Accelerating LLM Serving via Spatial-Temporal Workload Orchestration. CoRR Youhe Jiang, Fangcheng Fu, Taiyi Wang, Guoliang He, Eiko Yoneki
2026	J	`jnl`	SLA2: Sparse-Linear Attention with Learnable Routing and QAT. CoRR Jintao Zhang, Haoxu Wang, Kai Jiang, Kaiwen Zheng, Youhe Jiang, Ion Stoica, Jianfei Chen, Jun Zhu, Joseph E. Gonzalez
2025	J	`jnl`	AReaL-Hex: Accommodating Asynchronous RL Training over Heterogeneous GPUs. CoRR Ran Yan, Youhe Jiang, Tianyuan Wu, Jiaxuan Gao, Zhiyu Mei, Wei Fu, Haohui Mai, Wei Wang, Yi Wu, Binhang Yuan
2025	J	`jnl`	Cascadia: A Cascade Serving System for Large Language Models. CoRR Youhe Jiang, Fangcheng Fu, Wanru Zhao, Stephan Rabanser, Nicholas D. Lane, Binhang Yuan
2025	A*	`conf`	Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs. ICML Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki
2025	J	`jnl`	Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs. CoRR Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki
2025	J	`jnl`	Efficient Mixed-Precision Large Language Model Inference with TurboMind. CoRR Li Zhang, Youhe Jiang, Guoliang He, Xin Chen, Han Lv, Qian Yao, Fangcheng Fu, Kai Chen
2025	J	`jnl`	Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs. CoRR Guoliang He, Youhe Jiang, Wencong Xiao, Kaihua Jiang, Shuguang Wang, Jun Wang, Zixian Du, Zhuo Jiang, Xinlei Zhang, Binhang Yuan, Eiko Yoneki
2025	J	`jnl`	Flash Sparse Attention: An Alternative Efficient Implementation of Native Sparse Attention Kernel. CoRR Ran Yan, Youhe Jiang, Binhang Yuan
2025	J	`jnl`	HEXGEN-TEXT2SQL: Optimizing LLM Inference Request Scheduling for Agentic Text-to-SQL Workflow. CoRR You Peng, Youhe Jiang, Chen Wang, Binhang Yuan
2025	A*	`conf`	HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment. ICLR Youhe Jiang, Ran Yan, Binhang Yuan
2025	J	`jnl`	HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment. CoRR Youhe Jiang, Ran Yan, Binhang Yuan
2025	J	`jnl`	Parallax: Efficient LLM Inference Service over Decentralized Environment. CoRR Chris Tong, Youhe Jiang, Gufeng Chen, Tianyi Zhao, Sibian Lu, Wenjie Qu, Eric Yang, Lynn Ai, Binhang Yuan
2025	J	`jnl`	Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately. CoRR Yuhang Wang, Youhe Jiang, Bin Cui, Fangcheng Fu
2025	—	`conf`	ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments. MLSys Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Taiyi Wang, Bin Cui, Ana Klimovic, Eiko Yoneki
2025	J	`jnl`	ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments. CoRR Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Taiyi Wang, Bin Cui, Ana Klimovic, Eiko Yoneki
2024	J	`jnl`	FlashFlex: Accommodating Large Language Model Training over Heterogeneous Environment. CoRR Ran Yan, Youhe Jiang, Wangcheng Tao, Xiaonan Nie, Bin Cui, Binhang Yuan
2024	A*	`conf`	GNNFingers: A Fingerprinting Framework for Verifying Ownerships of Graph Neural Networks. WWW Xiaoyu You, Youhe Jiang, Jianwei Xu, Mi Zhang, Min Yang
2024	A*	`conf`	HexGen: Generative Inference of Large Language Model over Heterogeneous Environment. ICML Youhe Jiang, Ran Yan, Xiaozhe Yao, Yang Zhou, Beidi Chen, Binhang Yuan
2024	J	`jnl`	Improving Automatic Parallel Training via Balanced Memory Workload Optimization. IEEE Trans. Knowl. Data Eng. Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Shenhan Zhu, Xiaonan Nie, Yaofeng Tu, Bin Cui
2024	J	`jnl`	Revisiting the Time Cost Model of AllReduce. CoRR Dian Xiong, Li Chen, Youhe Jiang, Dan Li, Shuai Wang, Songtao Wang
2023	J	`jnl`	HexGen: Generative Inference of Foundation Model over Heterogeneous Decentralized Environment. CoRR Youhe Jiang, Ran Yan, Xiaozhe Yao, Beidi Chen, Binhang Yuan
2023	J	`jnl`	Improving Automatic Parallel Training via Balanced Memory Workload Optimization. CoRR Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Xiaonan Nie, Bin Cui
2023	A*	`conf`	OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning. IJCAI Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui
2022	J	`jnl`	Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism. CoRR Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui
2022	J	`jnl`	Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism. Proc. VLDB Endow. Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui
2022	J	`jnl`	OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning. CoRR Youhe Jiang, Xupeng Miao, Xiaonan Nie, Bin Cui
2020	J	`jnl`	2D-HRA: Two-Dimensional Hierarchical Ring-Based All-Reduce Algorithm in Large-Scale Distributed Machine Learning. IEEE Access Youhe Jiang, Huaxi Gu, Yunfeng Lu, Xiaoshan Yu