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Works (10)

CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models

ACM Transactions on Information Systems
2025-05-31 | Journal article
DOI: 10.1145/3713072
Contributors: Zirui Liu; Hailin Zhang; Boxuan Chen; Zihan Jiang; Yikai Zhao; Yangyu Tao; Tong Yang; Bin Cui
Source: check_circle
Crossref

MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training

Proceedings of the ACM on Management of Data
2025-02-10 | Journal article
DOI: 10.1145/3709703
Contributors: Pinxue Zhao; Hailin Zhang; Fangcheng Fu; Xiaonan Nie; Qibin Liu; Fang Yang; Yuanbo Peng; Dian Jiao; Shuaipeng Li; Jinbao Xue et al.
Source: check_circle
Crossref

A Unified Framework for Mining Batch and Periodic Batch in Data Streams

IEEE Transactions on Knowledge and Data Engineering
2024-11 | Journal article
DOI: 10.1109/TKDE.2024.3399024
Contributors: Zirui Liu; Xiangyuan Wang; Yuhan Wu; Tong Yang; Kaicheng Yang; Hailin Zhang; Yaofeng Tu; Bin Cui
Source: check_circle
Crossref

Enabling Parallelism Hot Switching for Efficient Training of Large Language Models

2024-11-04 | Conference paper
DOI: 10.1145/3694715.3695969
Contributors: Hao Ge; Fangcheng Fu; Haoyang Li; Xuanyu Wang; Sheng Lin; Yujie Wang; Xiaonan Nie; Hailin Zhang; Xupeng Miao; Bin Cui
Source: check_circle
Crossref

CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models

Proceedings of the ACM on Management of Data
2024-03-12 | Journal article
DOI: 10.1145/3639306
Contributors: Hailin Zhang; Zirui Liu; Boxuan Chen; Yikai Zhao; Tong Zhao; Tong Yang; Bin Cui
Source: check_circle
Crossref

Experimental Analysis of Large-Scale Learnable Vector Storage Compression

Proceedings of the VLDB Endowment
2023-12 | Journal article
DOI: 10.14778/3636218.3636234
Part of ISSN: 2150-8097
Contributors: Hailin Zhang; Penghao Zhao; Xupeng Miao; Yingxia Shao; Zirui Liu; Tong Yang; Bin Cui
Source: Self-asserted source
Hailin Zhang

Hetu: a highly efficient automatic parallel distributed deep learning system

Science China Information Sciences
2023-01 | Journal article
DOI: 10.1007/s11432-022-3581-9
Part of ISSN: 1674-733X
Part of ISSN: 1869-1919
Contributors: Xupeng Miao; Xiaonan Nie; Hailin Zhang; Tong Zhao; Bin Cui
Source: Self-asserted source
Hailin Zhang

Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism

Proceedings of the VLDB Endowment
2022-11 | Journal article
DOI: 10.14778/3570690.3570697
Part of ISSN: 2150-8097
Contributors: Xupeng Miao; Yujie Wang; Youhe Jiang; Chunan Shi; Xiaonan Nie; Hailin Zhang; Bin Cui
Source: Self-asserted source
Hailin Zhang

HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training

Proceedings of the 2022 International Conference on Management of Data
2022-06-10 | Journal article
DOI: 10.1145/3514221.3517902
Contributors: Xupeng Miao; Yining Shi; Hailin Zhang; Xin Zhang; Xiaonan Nie; Zhi Yang; Bin Cui
Source: Self-asserted source
Hailin Zhang

HET: scaling out huge embedding model training via cache-enabled distributed framework

Proceedings of the VLDB Endowment
2021-10 | Journal article
DOI: 10.14778/3489496.3489511
Part of ISSN: 2150-8097
Contributors: Xupeng Miao; Hailin Zhang; Yining Shi; Xiaonan Nie; Zhi Yang; Yangyu Tao; Bin Cui
Source: Self-asserted source
Hailin Zhang
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