Xiaobing Liu
Xiaobing Liu
Senior Engineering Director and Distinguished Scientist
E-mail confirmado em bytedance.com
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Ano
Google's neural machine translation system: Bridging the gap between human and machine translation
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
arXiv preprint arXiv:1609.08144, 2016
47072016
Wide & deep learning for recommender systems
HT Cheng, L Koc, J Harmsen, T Shaked, T Chandra, H Aradhye, ...
Proceedings of the 1st workshop on deep learning for recommender systems, 7-10, 2016
17062016
Scalable and accurate deep learning with electronic health records
A Rajkomar, E Oren, K Chen, AM Dai, N Hajaj, M Hardt, PJ Liu, X Liu, ...
NPJ Digital Medicine 1 (1), 1-10, 2018
10102018
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
1002019
Deep reinforcement learning for list-wise recommendations
X Zhao, L Zhang, L Xia, Z Ding, D Yin, J Tang
arXiv preprint arXiv:1801.00209, 2017
832017
ukasz Kaiser
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens …, 2016
802016
Understanding and improving recurrent networks for human activity recognition by continuous attention
M Zeng, H Gao, T Yu, OJ Mengshoel, H Langseth, I Lane, X Liu
Proceedings of the 2018 ACM international symposium on wearable computers, 56-63, 2018
612018
Google’s neural machine translation system: Bridging the gap between human and machine translation. CoRR abs/1609.08144 (2016)
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
arXiv preprint arXiv:1609.08144, 2016
602016
Google’s neural machine translation system: Bridging the gap between human and machine translation. CoRR abs/1609.08144
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
412016
Scalable and accurate deep learning with electronic health records. NPJ Digit Med. 2018; 1: 18. doi: 10.1038/s41746-018-0029-1
A Rajkomar, E Oren, K Chen, HN Dai AM, M Hardt, PJ Liu, X Liu, J Marcus, ...
21
Autoemb: Automated embedding dimensionality search in streaming recommendations
X Zhao, C Wang, M Chen, X Zheng, X Liu, J Tang
arXiv preprint arXiv:2002.11252, 2020
192020
Jointly learning to recommend and advertise
X Zhao, X Zheng, X Yang, X Liu, J Tang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
172020
Wide & Deep Learning for Recommender Systems. CoRR abs/1606.07792 (2016)
HT Cheng, L Koc, J Harmsen, T Shaked, T Chandra, H Aradhye, ...
arXiv preprint arXiv:1606.07792, 2016
132016
Deep reinforcement learning for online advertising in recommender systems
X Zhao, C Gu, H Zhang, X Liu, X Yang, J Tang
arXiv preprint arXiv:1909.03602, 2019
122019
system and method for predicting and summarizing medical events from electronic health records
US Patent App. 15/690,721, 2017
11*2017
Scalable and accurate deep learning with electronic health records. npj Digital Medicine. 2018; 1 (1): 18
A Rajkomar, E Oren, K Chen, HN Dai AM, M Hardt, PJ Liu, X Liu, J Marcus, ...
External Resources Crossref (DOI), 2021
102021
Automated Embedding Size Search in Deep Recommender Systems
JT Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
102020
New approach to classification of Chinese folk music based on extension of HMM
XB Liu, DS Yang, XO Chen
2008 international conference on audio, language and image processing, 1172-1179, 2008
102008
wide and deep machine learning models
HT Cheng, L Koc, J Harmsen, T Shaked, T Chandra, ...
US Patent App. 15/394,668, 2006
10*2006
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
X Zhao, C Gu, H Zhang, X Yang, X Liu, H Liu, J Tang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 750-758, 2021
32021
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