WenXin Dong

Hi! Welcome to this corner of the internet :) My name is WenXin Dong. I joined Google as a software engineer after graduating from Stanford University in 2023 with a BS and a MS degree in CS. During college, I conducted AI research in the areas of reinforcement learning, NLP, computer vision, and graph learning. I worked as research assistant at Stanford Center for Ocean Solutions, and was an undergraduate researcher at Professor Noah Goodman and Professor Leonidas Guibas lab. In the past, I have published a Python book and co-founded a start up project named Club Cardinal. In my free time, I like to draw and paint :) Check out my research and side projects!

Last updated: Feb 13 2024

Frontiers 2023

Comparing spatial patterns of marine vessels between vessel-tracking data and satellite imagery
Shinnosuke Nakayama, WenXin Dong, Richard G. Correro, Elizabeth R. Selig, Colette C.C. Wabnitz, Trevor J. Hastie, Jim Leape, Serena Yeung and Fiorenza Micheli

[frontiers]

NeurIPS 2021

Contrastive Reinforcement Learning of Symbolic Reasoning Domains
Gabriel Poesia, WenXin Dong, Noah Goodman

[arXiv]

Electronic Industry Press

The Python Algorithm Book that Even You Can Understand
Shuo Wang, WenXin Dong, ShuHang Zhang, Jie Zhang

*Sold over 30,000 copies since 2019

[ISBN-13: 9787121352553]

2022

Using Temporal Contrast to Detect Small Vessels in Low Resolution Optical Satellite Imagery

Detect small vessels in low resolution satellite imagery using temporal fusion in Faster R-CNN

[PDF]

2021

Making Deep Knowledge Tracing Interpretable Using Distillation

Distill transformer-based deep knowledge tracing models into a similarly accurate soft decision tree with interpretable features

[PDF]

2021

Solving the Rubiks’ Cube with Deep Reinforcement Learning using Multi-Headed Models

Using reinforcement learning and multi-task learning to solve the Rubik's cube layer by layer.

[PDF]

2021

Keywords to Story: Controllable Text Generation

Generating 5-sentence English stories which contains specified input keywords.

[PDF]

2020

Detecting the Emotion Dynamics of Profanity Language In Social Media Through Time

- NLP emotional analysis on tweets containing curse words to identify changes in emotional use of curse words from 2011 to 2019.

[PDF]

During the COVID-19 pandemic, 4 Stanford students and I built a website called Club Cardinal, a virtual Stanford campus. After seeing its success, we wanted to build a virtual world available for everyone to use: Virtuali.


More coming soon! :)