I’m Shaojie Bai. A few facts about me:
- I use Windows and OS X for desktop OS, iOS for mobile.
- I contribute to Wikipedia sometimes (e.g., I’ve contributed to Sobibor extermination camp, Time Person of the Year, ReLU, Dijkstra’s algorithm, Dongfang Bubai, Subra Suresh, etc.)
- I am an aficionado in history, politics and physics.
- I love playing badminton!
- I come from Shenzhen, China (very close to Hong Kong).
- I am a fan of Game of Thrones. Favorite character: Varys
- I was on the Doodle Jump global high-score ranking three times.
- I like coconut water and cheese curds!
A copy of my CV is here. This may not be the latest version. You should contact me in order to get the most updated version.
Interested in machine learning in general, but especially in (insightful) deep learning, sequence models and optimizations.
My undergraduate senior thesis was advised by Professor Zico Kolter, with the title “The Effect of Pre-ReLU Input Distribution on Deep Neural Net’s Performances”. For more information, you would probably find the research page helpful.
The advanced math/CS courses I’ve taken at CMU:
|Course number||Course name||Semester||Instructor(s)|
|10-708||Probabilistic Graphical Models||S17||Kayhan Batmanghelich|
|10-720||Statistical Machine Learning||S17||Larry Wasserman|
|15-418||Parallel Computer Architecture and Programming||S17||Kayvon Fatahalian, Randy Bryant|
|10-725||Convex Optimization (PhD)||F16||Ryan Tibshirani, Javier Pena|
|15-451||Algorithm Design and Analysis||F15||Avrim Blum, Anupam Gupta|
|15-440||Distributed Systems||F15||Srinivassan Seshan, Yuvraj Agarwal|
|15-312||Principles of Programming Languages||S16||Robert Harper|
|21-355/356*||Principles of Real Analysis I & II||F15 & S16||Marco Carrocia|
*Note: 21-355 and 21-356 form a two-semester course series that needs to be taken in a row.
I’ve TA’ed (or TAing, or about to TA) the following courses at CMU School of Computer Science:
|Course number||Course name||Semester||Instructor(s)||Note|
|10-701||Machine Learning for PhD||S18||Pradeep Ravikumar, Manuela Veloso|
|15-440/640||Distributed Systems||S16, S17||Mahadev Satyanarayanan, Padamanabhan Pillai||Head TA|
|10-601||Machine Learning for Graduates||F16||Roni Rosenfeld|
I care about a lot of things in real life. Besides what I study, movies, sports, history and politics are what I’m mostly into.
A few books that particularly I recommend:
- The Lessons of History, by Will Durant and Ariel Durant. I do disagree with some viewpoints in it, but the book is very illuminating in terms of historical understanding!
- A Thousand Splendid Suns, by Khaled Hosseini. Amazing book on the late 20th century Afghanistan in turmoil.
- Journey Under the Midnight Sun, by Keigo Higashino. “When you wander in the dark too long, you start to see things that aren’t really there.”
- Pattern Recognition and Machine Learning, by Christopher M. Bishop. Almost everyone in ML knows about this. But for someone good at Math/CS and want to know more about ML theories, this is a great book!
- The Master Algorithm, by Pedro Domingos. A cool summary of what AI and ML means in different perspectives, for everyone— not just computer scientists. A great vision on an ultimate learning method that will infiltrate every aspect of our lives.
- From the Ashes of Sobibor, by Thomas Blatt. An amazing story of the Nazi days with vivid descriptions.
- The Three-Body Problem and its two follow-ups, The Dark Forest and Death’s End, by Cixin Liu. A fundamental reconsideration of what civilization means.
- Nikita Khrushchev biography. Great recap of his life stories if you are interested in Soviet histories.
- Hiroshima: The Autobiography of Barefoot Gen by Nakazawa Keiji. Before and after the atomic bomb was dropped in Japan in 1945.
I especially like sci-fi movies, or those that induces hard thinking, such as Inception and Interstellar. But overall, here is a non-exhaustive list of pretty good ones:
- Ballon, starred by Friedrich Mücke, Karoline Schuch and David Kross
- Avengers: Endgame
- 1900, starred by Tim Roth
- Witness for the Prosecution, starred by Tyrone Power and Charles Laughton
- La La Land, starred by Ryan Gosling and Emma Stone
- Snowden, starred by Joseph Gordon-Levitt, Shailene Woodley
- Inception, starred by Leonardo Dicaprio
- Interstellar, starred by Matthew McConaughey, Anne Hathaway
- V for Vendetta, starred by Hugo Weaving, Natalie Portman
- Lord of the Rings + The Hobbits
- The Martian, starred by Matt Damon
- The Iron Lady, starred by Meryl Streep, Jim Broadbent
- The Truman Show, starred by Jim Carrey (god… love this)
- The King’s Speech, starred by Colin Firth, Geoffrey Rush