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Shuyang Cheng
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2020 – today
- 2024
- [j1]Zijun Gao, Shuyang Cheng, Emily Wittrup, Jonathan Gryak, Kayvan Najarian:
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection. Artif. Intell. Medicine 156: 102947 (2024) - 2022
- [c7]Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov:
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. ECCV (21) 2022: 158-175 - [c6]Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov:
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. ECCV (31) 2022: 555-572 - [c5]Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov:
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. ICLR 2022 - [c4]Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park:
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR. SLT 2022: 23-30 - [i7]Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov:
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. CoRR abs/2204.12511 (2022) - [i6]Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov:
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. CoRR abs/2210.05018 (2022) - [i5]Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park:
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR. CoRR abs/2210.10879 (2022) - [i4]Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov:
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. CoRR abs/2210.13428 (2022) - 2021
- [c3]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:
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. ICCV 2021: 9690-9699 - [i3]Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Benjamin Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov:
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR abs/2104.10133 (2021) - 2020
- [c2]Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc V. Le:
Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS. CVPR 2020: 14311-14320 - [c1]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:
Improving 3D Object Detection Through Progressive Population Based Augmentation. ECCV (21) 2020: 279-294 - [i2]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:
Improving 3D Object Detection through Progressive Population Based Augmentation. CoRR abs/2004.00831 (2020) - [i1]Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc Le:
Can weight sharing outperform random architecture search? An investigation with TuNAS. CoRR abs/2008.06120 (2020)
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