shawnzhong / pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

👋 Hi there

• 📫 How to reach me: [email protected]
• 💻 Personal website: https://shawnzhong.com

📝 Publications

• MadFS: Per-File Virtualization for Userspace Persistent Memory Filesystems
  Shawn Zhong, Chenhao Ye, Guanzhou Hu, Suyan Qu, Andrea Arpaci-Dusseau, Remzi Arpaci-Dusseau, and Michael Swift.
  FAST '23. GitHub.

• PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding
  Zhao Jinman, Shawn Zhong, Xiaomin Zhang, and Yingyu Liang.
  EMNLP '20. GitHub.

🧰 Projects

• To be updated

📚 Courses Taken in UW-Madison

Undergraduate (Fall 2017 - Spring 2020)

• Fall 2017: CS 300 (Programming II), CS 352 (Digital System Fundamentals), Math 375 (Multi-Var Calc & Linear Alg), Math 431 (Probability)

• Spring 2018: CS 252 (Intro to Computer Engineering), CS 400 (Programming III), Math 240 (Discrete Math), Math 521 (Analysis), Math 541 (Modern Algebra)

• Fall 2018: CS 354 (Machine Organization), CS 514 (Numerical Analysis), CS 540 (Intro to AI), CS 577 (Algorithms), Math 632 (Stochastic Processes)

• Spring 2019: CS 536 (Compiler), CS 537 (OS), CS 564 (Database), CS 639 (Software Security)

• Fall 2019: CS 576 (Bioinformatics), CS 640 (Network), CS 744 (Big Data Systems)

• Spring 2020: CS 759 (High-Performance Computing)

Ph.D. (Fall 2020 - )

• Fall 2020: CS 703 (Program Verification & Synthesis), CS 736 (Advanced OS), CS 764 (Advanced DB), CS 838 (MLOS Seminar)

• Spring 2021: CS 524 (Intro to Optimization), CS 739 (Distributed Systems), CS 760 (Machine Learning)

• Fall 2021: CS 839 (Blockchains and Decentralized Applications), CS 839 (Persistent Memory)

• Spring 2022: CS 740 (Advanced Network), CS 839 (Machine Learning System)

• Fall 2022: CS 839 (Image Synthesis), ECE 439 (Introduction to Robotics)

• Spring 2023: CS 761 (Mathematical Machine Learning)