Xiangzhuo Ding — accepted AI-conference papers

2023

CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU

Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi +9

AAAI 2023technical

The click-through rate (CTR) prediction task is to predict whether a user will click on the recommended item. As mind-boggling amounts of data are produced online daily, accelerating CTR prediction model training is critical to ensuring an up-to-date model and reducing the training cost. One approac…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗

2020

Prediction of Gait Cycle Percentage Using Instrumented Shoes with Artificial Neural Networks

Antonio Prado, Xiya Cao, Xiangzhuo Ding, Sunil K. Agrawal

ICRA 2020poster

Gait training is widely used to treat gait abnormalities. Traditional gait measurement systems are limited to instrumented laboratories. Even though gait measurements can be made in these settings, it is challenging to estimate gait parameters robustly in real-time for gait rehabilitation, especiall…

Cited by 21 Source ↗Scholar ↗