Resume
Academic Achievements
- Published numerous papers in top-tier conferences and journals including NIPS, OSDI, KDD, ICML, CVPR, WSDM, and FOCS
- Key paper 'Scaling Distributed Machine Learning with the Parameter Server' published at OSDI 2014
- Co-developed MXNet: A flexible and efficient machine learning library for heterogeneous distributed systems (NIPS LearningSys 2016)
- Paper 'DiFacto — Distributed Factorization Machines' received Best Paper Honorable Mention at WSDM 2016
- Ph.D. thesis: 'Scaling Distributed Machine Learning with System and Algorithm Co-design'