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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
arXiv preprint arXiv:1609.08144, 2016
89002016
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
41092016
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
22862018
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
2092019
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
1912017
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
1832018
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
1062021
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
1032021
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
1032016
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
932016
& 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
78
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
772020
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, ...
762016
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
682020
wide and deep machine learning models
HT Cheng, L Koc, J Harmsen, T Shaked, T Chandra, ...
US Patent App. 15/394,668, 2006
34*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
242019
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
192022
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
192020
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
Scalable and accurate deep learning with electronic health records. NPJ Digit Med. 2018; 1 (1): 18
A Rajkomar, E Oren, K Chen, HN Dai AM, M Hardt, PJ Liu, X Liu, J Marcus, ...
14
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