Joe Jiang
Wenjie (Joe) Jiang currently works in Google Brain team, where he is focused on applying ML to system design problems. He also worked in network optimization and analysis team, where he applied a variety of mathematical techniques to solving the network capacity planning and demand forecast problem. He received a B.S. from USTC China; M.Phil from Chinese University of Hong Kong; and Ph.D. from Princeton University, all in Computer Science.
Authored Publications
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Google
Learning Semantic Representations to Verify Hardware Designs
Shobha Vasudevan
Rishabh Singh
Hamid Shojaei
Richard Ho
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) (2021)
Efficient Imitation Learning with Local Trajectory Optimization
Jialin Song
Navdeep Jaitly
Azalia Mirhoseini
ICML 2020 Workshop on Inductive Biases, Invariances and Generalization in RL (2020)
Capacity planning for the Google backbone network
Ajay Kumar Bangla
Ben Preskill
Emilie Danna
Xiaoxue Zhao
ISMP 2015 (International Symposium on Mathematical Programming) (to appear)
