Paradoxical

Adventures in computer science.

Me

Hello! I'm Andrew Wang. I'm a Master's student studying Computer Science at Stanford. I'm currently working in the lab of Professor Jure Leskovec on graph neural networks for unsupervised network motif mining, and the lab of Professor Emma Brunskill on deep reinforcement learning for performance-supported human learning. Previously I was a Tanner Dean's Scholar at Cornell majoring in Computer Science, Philosophy and Math, advised by Professor Cristian Danescu-Niculescu-Mizil. I'm excited about data and task structures in which classical algorithms and neural network approaches could benefit by working together in a tightly integrated way.

Summer 2017: I studied social networks at the EPFL Data Science Lab with Professor Robert West.

Find me on:

Publications

Confidence Boost in Dyadic Online Teamwork: An Individual-Focused Perspective.
Liye Fu*, Andrew Z Wang* and Cristian Danescu-Niculescu-Mizil.
Proceedings of ICWSM 2020. To appear.
*Listed alphabetically.

ConvoKit: The Cornell Conversational Analysis Toolkit.
Jonathan P Chang, Caleb Chiam, Liye Fu, Andrew Z Wang, Justine Zhang, Cristian Danescu-Niculescu-Mizil.
2019. Technical report in progress.

Projects

  1. Cornell Conversational Analysis Toolkit (ConvoKit). Tools to analyze conversational data in order to gain insight into power dynamics between speakers, constructiveness of discussions and more.
  2. StreetCrowd. Multiplayer world-exploration game developed by Cornell NLP.
  3. Nanosite. Modern, elegant static-site generator. Let's lead the static site revolution!
  4. QWOP AI. Reinforcement-learning AI agent that learns to beat the game QWOP.
  5. Neon Birds. Colorful interactive simulation of swarming behavior in birds.
  6. The Land of Stuff MMO. Online multiplayer adventure game. You can explore a vast world solo or with friends, battling monsters and other players, gaining loot and completing story quests.