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Author

Xiaonan Nie

Observed name: Nie, Xiaonan
Institution: ByteDance (China)
ORCID: 0000-0001-6766-757X
Observed ORCID: 0000-0001-6766-757X
OpenAlex ID: A5059601307
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce
2021 · Xupeng Miao, Xiaonan Nie, et al. · Proceedings - ACM-SIGMOD International Conference on Management of Data · 65
Galvatron
2022 · Xupeng Miao, Yujie Wang, et al. · Proceedings of the VLDB Endowment · 63
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HET
2021 · Xupeng Miao, Hailin Zhang, et al. · Proceedings of the VLDB Endowment · 60
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FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement
2023 · Xiaonan Nie, Xupeng Miao, et al. · Proceedings of the ACM on Management of Data · 41
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TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting
2022 · Xiaonan Nie, Xupeng Miao, et al. · Proceedings - International Conference on Data Engineering · 26
HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training
2022 · Xupeng Miao, Yining Shi, et al. · Proceedings - ACM-SIGMOD International Conference on Management of Data · 25
Acceleration Algorithms in GNNs: A Survey
2025 · Lu Ma, Zeang Sheng, et al. · IEEE Transactions on Knowledge and Data Engineering · 16
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Hetu: a highly efficient automatic parallel distributed deep learning system
2022 · Xupeng Miao, Xiaonan Nie, et al. · Science China Information Sciences · 16
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PQCache: Product Quantization-based KVCache for Long Context LLM Inference
2025 · Hailin Zhang, Xiaodong Ji, et al. · Proceedings of the ACM on Management of Data · 15
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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 · 14
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HetuMoE: An Efficient Trillion-scale Mixture-of-Expert Distributed Training System
2022 · Nie, Xiaonan, Zhao, Pinxue, et al. · arXiv (Cornell University) · 14
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Angel-PTM: A Scalable and Economical Large-Scale Pre-Training System in Tencent
2023 · Xiaonan Nie, Yi Liu, et al. · Proceedings of the VLDB Endowment · 10
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EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate
2021 · Nie, Xiaonan, Miao, Xupeng, et al. · arXiv (Cornell University) · 8
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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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Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
2025 · Haoyang Li, Fangcheng Fu, et al. · Proceedings of the ACM on Management of Data · 6
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Enabling Parallelism Hot Switching for Efficient Training of Large Language Models
2024 · Hao Ge, Fangcheng Fu, et al. · ACM SIGOPS Symposium on Operating Systems Principles (SOSP) · 6
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ByteScale: Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs
2025 · Hao Ge, Junda Feng, et al. · ACM SIGCOMM Conference (SIGCOMM) · 4
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MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training
2025 · Pinxue Zhao, Hailin Zhang, et al. · Proceedings of the ACM on Management of Data · 4
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LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing
2024 · Xiaonan Nie, Qibin Liu, et al. · neural information processing systems · 4
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Efficient and scalable huge embedding model training via distributed cache management
2025 · Xupeng Miao, Hailin Zhang, et al. · The VLDB Journal · 3
Seedance 1.0: Exploring the Boundaries of Video Generation Models
2025 · Gao, Yu, Guo, Haoyuan, et al. · arXiv (Cornell University) · 1
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Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge
2024 · Xiao, Bin, Shi, Chunan, et al. · arXiv (Cornell University) · 1
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Improving Video Sparse Attention with Fine-grained Router and Sparse Rebasing
2026 · Zhang, Peiyuan, Wei, Guoqiang, et al. · arXiv (Cornell University)
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Unleashing Scalable Context Parallelism for Foundation Models Pre-Training via FCP
2026 · Zhao, Yilong, Nie, Xiaonan, et al. · arXiv (Cornell University)
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Context Unrolling in Omni Models
2026 · Yang, Ceyuan, Lin, Zhijie, et al. · arXiv (Cornell University)
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Works count: 30
Citation count: 409
H-index: 11
I10-index: 12
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