Author

Bao X

University of Toronto - Cited by 586 - Deep Learning - Control Theory - Reinforcement Learning

Biography

Bao X  is affiliated to Qingdao Institute of Bioenergy & Bioprocess Technology, Chinese Academy of Sciences. He is a recipient of many awards and grants for his valuable contributions and discoveries in major area of subject research. His international experience includes various programs, contributions and participation in different countries for diverse fields of study.  His research interests reflect in his wide range of publications in various national and international journals.  
Title
Cited by
Year
Benchmarking model-based reinforcement learning
T Wang, X Bao, C Ignasi, J Hoang, Y Wen, E Langlois, S Zhang, G Zhang, ...arXiv preprint arXiv:1907.02057, 2019201
332
2019
Timbretron: A wavenet (cyclegan (cqt (audio))) pipeline for musical timbre transfer
S Huang, Q Li, C Anil, X Bao, S Oore, RB GrossearXiv preprint arXiv:1811.09620, 2018201
105
2018
Deep neural networks for improved, impromptu trajectory tracking of quadrotors
Q Li, J Qian, Z Zhu, X Bao, MK Helwa, AP Schoellig2017 IEEE International Conference on Robotics and Automation (ICRA), 5183-5189, 2017201
91
2017
Regularized linear autoencoders recover the principal components, eventually
X Bao, J Lucas, S Sachdeva, RB GrosseAdvances in Neural Information Processing Systems 33, 6971-6981, 2020202
25
2020
A unified analysis of first-order methods for smooth games via integral quadratic constraints
G Zhang, X Bao, L Lessard, R GrosseThe Journal of Machine Learning Research (1), 4648-4686, 2021202
22
2021
Benchmarking model-based reinforcement learning, 2019
T Wang, X Bao, I Clavera, J Hoang, Y Wen, E Langlois, S Zhang, G Zhang, ...arXiv preprint arXiv:190.0205, 19019
7
1907
Learning to Elect
C Anil, X BaoarXiv preprint arXiv:2108.02768, 2021202
3
2021

Referred From: https://scholar.google.com/citations?user=gnBwBZ4AAAAJ&hl=en

Cited by
Citations 586
h-index 6
i10-index 5
Open Access Journals