Lele Yu

According to our database, Lele Yu authored at least 16 papers between 2013 and 2022.

Collaborative distances:

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

2022

CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs.

Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang

IEEE Trans. Knowl. Data Eng., 2022

Sensorless control of Permanent Magnet Synchronous motor based on Optimization of non-singular Fast terminal sliding mode observer.

Wenyan Nie, Zhonggen Wang, Lele Yu, Jun-Wen Mu

Mechatron. Syst. Control., 2022

2021

Sys-TM: A Fast and General Topic Modeling System.

Yingxia Shao, Xupeng Li, Yiru Chen, Lele Yu, Bin Cui

IEEE Trans. Knowl. Data Eng., 2021

VF²Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning.

Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract).

Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent.

Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

PSGraph: How Tencent trains extremely large-scale graphs with Spark?

Jiawei Jiang, Pin Xiao, Lele Yu, Xiaosen Li, Jiefeng Cheng, Xupeng Miao, Zhipeng Zhang, Bin Cui

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

PS2: Parameter Server on Spark.

Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao

Proceedings of the 2019 International Conference on Management of Data, 2019

MLlib*: Fast Training of GLMs Using Spark MLlib.

Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

GLM+: An Efficient System for Generalized Linear Models.

Lele Yu, Lingyu Wang, Yingxia Shao, Long Guo, Bin Cui

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

GVoS: A General System for Near-Duplicate Video-Related Applications on Storm.

Jiawei Jiang, Yunhai Tong, Hua Lu, Bin Cui, Kai Lei, Lele Yu

ACM Trans. Inf. Syst., 2017

LDA*: A Robust and Large-scale Topic Modeling System.

Lele Yu, Bin Cui, Ce Zhang, Yingxia Shao

Proc. VLDB Endow., 2017

Heterogeneity-aware Distributed Parameter Servers.

Jiawei Jiang, Bin Cui, Ce Zhang, Lele Yu

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2015

A multi-source integration framework for user occupation inference in social media systems.

Yanxiang Huang, Lele Yu, Xiang Wang, Bin Cui

World Wide Web, 2015

Exploiting Matrix Dependency for Efficient Distributed Matrix Computation.

Lele Yu, Yingxia Shao, Bin Cui

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2013

A Multiple Feature Integration Model to Infer Occupation from Social Media Records.

Xiang Wang, Lele Yu, Junjie Yao, Bin Cui

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013