Haibin Lin | 林海滨

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Haibin works on machine learning systems at Bytedance with Yibo Zhu and Chuanxiong Guo. Previously he works on ML system and natural language processing at Amazon Web Services, with a team led by Mu Li and Alex Smola. He finished his M.S. in Computer Science at Carnegie Mellon University, advised by Andy Pavlo. Prior to that, he received a B.Eng. in Computer Science from University of Hong Kong and Shanghai Jiao Tong University jointly.


  • Apache MXNet, a deep learning framework | PPMC & committer

  • GluonNLP, a toolkit for natural language processing | main contributor

  • ps-lite & BytePS, a distributed training library for deep learning | main contributor

  • veGiantModel, a distributed training library for giant model training with hybrid parallelism | main contributor

  • Peloton, a research prototype for self-driving database management system | main contributor


  • 用于加速分布式DNN训练的通用分析和优化系统 (under review)

  • 基于梯度延迟感知的数据并行深度神经网络训练流水线 (under review)

Selected Awards

  • KDD Best Paper Award | 2020

  • Soong Ching Ling Scholarships | 2011 - 2015

  • Dean's Honors List | 2012 - 2015

  • HKUEAA Scholarships (Top 0.1%) | 2014