Zhengdong Wang

mail | serifs | lights

What I’m doing now

• I’m a Research Engineer at DeepMind in London.

Writing

• If you only read one thing, read this readme. It’s like documentation, but about me!
• Quotations I think are beautiful.
• Writing advice that has worked for me.
• Productivity advice that has worked for me, maybe.
• Rules for picking classes at Yale.
• Some more seasonal content. My website isn’t sure if it’s a website or a blog.
  • 2022-12-28 | 2022 letter
  • 2022-12-28 | What I listened to this year
  • 2022-12-28 | State of the apps
  • All posts, RSS.

Research

• General and Scalable Hierarchical Reinforcement Learning
  Bernardo Avila Pires, Feryal Behbahani, Hubert Soyer, Kyriacos Nikiforou, Thomas Keck, Zhengdong Wang, Satinder Singh, 2022, RLDM
• Internal contributions to TensorFlow Quantum in summer 2019 at X.
• GaMorNet: A Convolutional Neural Network to study morphology and quenching in SDSS and CANDELS
  Aritra Ghosh, Megan Urry, Zhengdong Wang, Dennis Turp, Kevin Schawinski, Meredith Powell, 2020, ApJ, 895, 112, doi: 10.3847/1538-4357/ab8a47, arXiv: 2006.14639

About

• I’m echoing Devon Zuegel’s, Dan Wang’s, and Patrick McKenzie’s standing invitations. I really like getting email.
• Fun facts about this website. And the source code.