Shuyang Cheng

According to our database, Shuyang Cheng authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Second Linearization of Galois Theory.

Shuyang Cheng

Am. Math. Mon., August, 2025

2024

Learning using privileged information with logistic regression on acute respiratory distress syndrome detection.

Zijun Gao, Shuyang Cheng, Emily Wittrup, Jonathan Gryak, Kayvan Najarian

Artif. Intell. Medicine, 2024

2022

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions.

Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov

CoRR, 2022

G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR.

Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions.

Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov

Proceedings of the Tenth International Conference on Learning Representations, 2022

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds.

Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds.

Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset.

Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Improving 3D Object Detection Through Progressive Population Based Augmentation.

Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2020, 2020

Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS.

Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc V. Le

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020