Education

• Peking University, NC&IS.
  • Sep 2015 - June 2020.
  • I got my PhD degree in computer science and technology under the superivision of Prof. Bin Cui.
• Shandong Univerisity, Taishan College
  • Sep 2011 - June 2015.
  • I got my B.S degree in computer science and technology under the superivision of Prof. Xiaohui Yu.

Research Interests

• Big data systems
• Machine learning systems
• Graph computing systems.

Open Source Projects

• Committer of Apache Flink.

News

• I gave a talk at ApacheCon Asia 2022 about Flink ML.

Work experience

• Software engineer @Alibaba (July 2020 - Now)
  • Project: Usabiblity and Robustness of Alink.
  • Project: Co-found and maintainer of Flink ML.
• Intern@Tencent (Nov 2018 - Nov 2019)
  • Project: Accelerating distributed graph embedding using Spark/Angel.
• Visiting ETH (July 2017 - Jan 2018)
  • Project: Accelerating distributed machine learning on Spark.

Skills

• Programming
  • Java, Python, C++, Bash, LATEX,
• Open-source System:
  • Flink, Spark, Angel, Parameter Servers
  • TensorFlow, PyTorch Petuum, MXNet
• System analysis
  • Performance tunning & optimization

Publications

• Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang, ColumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent [CCF-A, ICDE 2020]
• Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao, PS2: Parameter Server on Spark [CCF-A, SIGMOD Industry 2019]
• Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui. MLlib*: Fast Training of GLMs using Spark MLlib [CCF-A, ICDE Industry 2019]
• Zhipeng Zhang, Jiawei Jiang, Lele Yu, Bin Cui. Angel+: A Large-Scale Machine Learning Platform on Angel [Frontiers of Data and Computing. 2019]
• Zhipeng Zhangg, Yingxia Shao, Bin Cui, Ce Zhang. An Experimental Evaluation of SimRankbased Similarity Search Algorithms [CCF-A, VLDB 2017]
• Yunyan Guo, Zhipeng Zhang, Wentao Wu, Jiawei Jiang,Ce zhang, Bin Cui, Jianzhong Li, Model Averaging in Distributed Machine Learning: A Case Study with Apache Spark [VLDBJ 2021]
• Wentao Zhang, Bin Yuan, Zhipeng Zhang, Bin Cui. Distributed Optimization and Implementation of Graph Embedding Algorithms. [JOS 2021, CCF-A]
• Xiaoru Qu, Zhao Li, Jialin Wang, Zhipeng Zhang, …, Jun Gao. Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. [CIKM 2020, CCF-B]
• Jiawei Jiang, Pin Xiao, Lele Yu, Xiaosen Li, Jiefeng Cheng, Xupeng Miao, Zhipeng Zhang, Bin Cui. PSGraph: How Tencent trains large-scale graphs with Spark? [CCF-A, ICDE 2020]
• Xinyi Zhang, Zhipeng Zhang, Bin Cui. An Reinforcement Learning-based Method for Join Optimization. [CCF-C, NDBC 2020, Best Student Paper]
• Jiawei Jiang, Zhipeng Zhang, Bin Cui, Yunhai Tong, Ning Xu, StroMAX: Partitioning-based Scheduler for Real-time Stream Processing System [CCF B, DASFAA 2017]
• Shuyang Shi, Zhipeng Zhang, Bin Cui. Resume Activeness Prediction in Online Recruitment Scenarios [CCF C, NDBC 2017]