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Xiaobing Liu
Xiaobing Liu
Head of the monetization engineering and Distinguished Scientist
Verified email at bytedance.com
Title
Cited by
Cited by
Year
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
83702016
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
37892016
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
20552018
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
1982019
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
1782017
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
1672018
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
1002016
Autoemb: Automated embedding dimensionality search in streaming recommendations
X Zhaok, H Liu, W Fan, H Liu, J Tang, C Wang, M Chen, X Zheng, X Liu, ...
2021 IEEE International Conference on Data Mining (ICDM), 896-905, 2021
952021
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
912016
Dear: Deep reinforcement learning for online advertising impression in recommender systems
X Zhao, C Gu, H Zhang, X Yang, X Liu, J Tang, H Liu
Proceedings of the AAAI conference on artificial intelligence 35 (1), 750-758, 2021
822021
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, ...
732016
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
712020
system and method for predicting and summarizing medical events from electronic health records
US Patent App. 15/690,721, 2017
64*2017
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
632020
& Dean, J.(2016). 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, 0
55
wide and deep machine learning models
HT Cheng, L Koc, J Harmsen, T Shaked, T Chandra, ...
US Patent App. 15/394,668, 2006
32*2006
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
202019
System and method for predicting and summarizing medical events from electronic health records
K Chen, P Sundberg, A Mossin, N Hajaj, K Litsch, J Wexler, Y Zhang, ...
US Patent 11,398,299, 2022
182022
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
172016
Deep retrieval: Learning a retrievable structure for large-scale recommendations
W Gao, X Fan, C Wang, J Sun, K Jia, W Xiao, R Ding, X Bin, H Yang, X Liu
arXiv preprint arXiv:2007.07203, 2020
142020
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