Peiyuan Liao: The 20 Year-Old Kaggle Grandmaster - Machine Learning Engineered

Episode 10

Peiyuan Liao: The 20 Year-Old Kaggle Grandmaster

Peiyuan Liao is the youngest Chinese Kaggle grandmaster at only 20 years old with numerous gold medals and 1st, 2nd, and 3rd place finishes. He helped research two deep learning papers while in high school and now researches adversarial attacks on graph neural networks at Carnegie Mellon.

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03:20 How Peiyuan was first exposed to CS and ML

06:45 Researching deep learning in high school

10:30 Researching graph neural networks at Carnegie Mellon (

20:30 How he keeps up with the field and gets research ideas

24:05 Research tools he uses

31:30 Advice for Kaggle beginners

34:30 How Peiyuan first approaches a new Kaggle competition

40:15 His team's 3rd-place solution to the 2020 Google Landmark Recognition Challenge (

50:30 How he approached the Global Wheat Detection challenge (

56:40 How he decides to quit a Kaggle competition

59:25 The difference between him and the average Kaggler

01:03:20 Contributing to open source projects

01:06:00 Rapid Fire Questions


CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders

Graph Adversarial Networks: Protecting Information against Adversarial Attacks

Peiyuan's Kaggle Profile

Open Neural Network Exchange (ONNX)

Apache TVM

Deformable Convolutional Networks

Google JAX

Robert Harper

Google Landmark Recognition 2020 Competition Third Place Solution

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Global Wheat Detection 2nd Place Solution

Lovász-Softmax loss

About the Podcast

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Machine Learning Engineered
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About your host

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Charlie You

Charlie currently works as a Machine Learning Engineer at Workday. He graduated from RPI with a B.S. in Computer Science and taught himself ML through online courses and projects. In his free time, Charlie enjoys investing and trading, playing poker, and training Brazilian Jiu-Jitsu.