My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

https://huyenchip.com/ml-interviews-book/

A personal study tool for preparing ML interviews

Large-Scale Pre-Training for Dual-Accelerometer Human Activity Recognition

Simple routing over OpenStreetMap data

LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Conditional Adversarial Trajectory Synthesis

LibCity: An Open Library for Urban Spatial-temporal Data Mining

Continuous Trajectory Generation Based on Two-Stage GAN, AAAI 2023.

(T-ITS) TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving

Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis

Artifacts for paper "What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?".

The datasets collected from Didi Chuxing and NASDAQ.

Artifacts for SoK: Can Trajectory Generation Combine Privacy and Utility?

A professional list of Deep Learning and Large (Language) Models (LM, LLM, FM) for Trajectory Data Management and Mining.

The implemention of DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

De-anonymization algorithm of mobility trajectories

A crawler used to crawl foursquare check-in data.

Source code for submission to 2nd HuMob chanllenge in SIGSPATIAL' 24

Code to output prediction results at the 2nd ACM SIGSPATIAL International Workshop on the Human Mobility Prediction Challenge

A tool set for trajectory prediction, ready for pip install