Shuyang Cheng - RankMe

17 papers A* 3Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Three Proofs of the Spectral Theorem That You Might Not Know About. Am. Math. Mon. Shuyang Cheng
2025	J	`jnl`	Second Linearization of Galois Theory. Am. Math. Mon. Shuyang Cheng
2024	J	`jnl`	Learning using privileged information with logistic regression on acute respiratory distress syndrome detection. Artif. Intell. Medicine Zijun Gao, Shuyang Cheng, Emily Wittrup, Jonathan Gryak, Kayvan Najarian
2022	—	`conf`	G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR. SLT Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park
2022	J	`jnl`	G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR. CoRR Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park
2022	—	`conf`	LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. ECCV (21) Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
2022	J	`jnl`	LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. CoRR Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
2022	A*	`conf`	PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. ICLR Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov
2022	J	`jnl`	PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. CoRR Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov
2022	—	`conf`	PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. ECCV (31) Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
2022	J	`jnl`	PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. CoRR Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
2021	A*	`conf`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. ICCV 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
2021	J	`jnl`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR 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
2020	A*	`conf`	Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS. CVPR Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc V. Le
2020	J	`jnl`	Can weight sharing outperform random architecture search? An investigation with TuNAS. CoRR Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc Le
2020	—	`conf`	Improving 3D Object Detection Through Progressive Population Based Augmentation. ECCV (21) 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
2020	J	`jnl`	Improving 3D Object Detection through Progressive Population Based Augmentation. CoRR 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