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Author

Youhe Jiang

Galvatron
2022 · Xupeng Miao, Yujie Wang, et al. · Proceedings of the VLDB Endowment · 112
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HexiScale: Facilitating Large Language Model Training over Heterogeneous Hardware
2024 · Yan, Ran, Jiang, Youhe, et al. · arXiv (Cornell University) · 25
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LMDeploy Accelerates Mixed-Precision LLM Inference with TurboMind
2025 · Zhang, Li, Jiang, Youhe, et al. · arXiv (Cornell University) · 24
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Improving Automatic Parallel Training via Balanced Memory Workload Optimization
2024 · Yujie Wang, Youhe Jiang, et al. · IEEE Transactions on Knowledge and Data Engineering · 20
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SLA2: Sparse-Linear Attention with Learnable Routing and Quantization-aware Training
2026 · Zhang, Jintao, Wang, Haoxu, et al. · arXiv (Cornell University) · 19
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HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment
2025 · Jiang, Youhe, Yan, Ran, et al. · arXiv (Cornell University) · 19
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HEXGEN-FLOW: Optimizing LLM Inference Request Scheduling for Agentic Text-to-SQL
2026 · You Peng, Youhe Jiang, et al. · IEEE International Conference on Data Engineering (ICDE) · 14
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AReaL-Hex: Accommodating Asynchronous RL Training over Heterogeneous GPUs
2025 · Yan, Ran, Jiang, Youhe, et al. · arXiv (Cornell University) · 14
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Vidu S1: A Real-Time Interactive Video Generation Model
2026 · Zhang, Jintao, Jiang, Kai, et al. · arXiv (Cornell University) · 10
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Efficient Multi-round LLM Inference over Disaggregated Serving
2026 · He, Wenhao, Jiang, Youhe, et al. · arXiv (Cornell University) · 10
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OServe: Accelerating LLM Serving via Spatial-Temporal Workload Orchestration
2026 · Jiang, Youhe, Fu, Fangcheng, et al. · arXiv (Cornell University) · 9
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OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning
2022 · Jiang, Youhe, Fu, Fangcheng, et al. · arXiv (Cornell University) · 9
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BOute: Cost-Efficient LLM Serving with Heterogeneous LLMs and GPUs via Multi-Objective Bayesian Optimization
2026 · Jiang, Youhe, Fu, Fangcheng, et al. · arXiv (Cornell University) · 7
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OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning
2023 · Youhe Jiang, Fangcheng Fu, et al. · International Joint Conference on Artificial Intelligence · 7
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Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents
2026 · Yan, Ran, Fu, Wei, et al. · arXiv (Cornell University) · 6
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Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs
2025 · Guoliang He, Youhe Jiang, et al. · neural information processing systems · 4
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Coda: Exploiting Admission Flexibility for Coding-Agent Serving
2026 · Jiang, Youhe, Fu, Fangcheng, et al. · arXiv (Cornell University) · 1
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HexAGenT: Efficient Agentic LLM Serving via Workflow- and Heterogeneity-Aware Scheduling
2026 · Peng, You, Jiang, Youhe, et al. · arXiv (Cornell University) · 1
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HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware
2026 · Liang, Yan, Jiang, Youhe, et al. · arXiv (Cornell University) · 1
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Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics
2026 · Jiang, Youhe, Yan, Ran, et al. · arXiv (Cornell University) · 1
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Introducing Cluster Efficiency to LLM Serving: Pooling Economical Accelerators over Fast Interconnects
2026 · Jiang, Youhe, Glušac, Pavle, et al. · arXiv (Cornell University)
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AFORE: Attention-FFN Disaggregation with Overlapped Reconfiguration of Experts
2026 · Li, Wenshuang, Jiang, Youhe, et al. · arXiv (Cornell University)
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ePACT: Energy-Performance-Aware Commitment Tracking for LLM Serving
2026 · Peng, You, Jiang, Youhe, et al. · arXiv (Cornell University)
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AReaL-TIK: Stateful Agentic Optimization of Unified RL Kernels through an Optimization IR
2026 · Yan, Ran, Jiang, Youhe, et al. · arXiv (Cornell University)
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RayOrch: Programming and Executing Lineage-Controlled Multi-Grain Dataflows for Foundation-Model Data Preparation
2026 · Ma, Xiaochen, Meng, Zimo, et al. · arXiv (Cornell University)
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Works count: 31
Citation count: 444
H-index: 14
I10-index: 16
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