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Ru He
Ru He
Machine Learning Scientist, Amazon
Bestätigte E-Mail-Adresse bei amazon.com
Titel
Zitiert von
Zitiert von
Jahr
Bayesian model averaging using the k-best Bayesian network structures
J Tian, R He, L Ram
arXiv preprint arXiv:1203.3520, 2012
532012
Computing posterior probabilities of structural features in Bayesian networks
J Tian, R He
arXiv preprint arXiv:1205.2612, 2012
342012
A bounded statistical approach for model checking of unbounded until properties
R He, P Jennings, S Basu, AP Ghosh, H Wu
Proceedings of the 25th IEEE/ACM International Conference on Automated …, 2010
322010
Structure learning in Bayesian networks of a moderate size by efficient sampling
R He, J Tian, H Wu
Journal of Machine Learning Research 17, 1-54, 2016
212016
Progressively stacking 2.0: A multi-stage layerwise training method for bert training speedup
C Yang, S Wang, C Yang, Y Li, R He, J Zhang
arXiv preprint arXiv:2011.13635, 2020
182020
Approximate model checking of PCTL involving unbounded path properties
S Basu, AP Ghosh, R He
Formal Methods and Software Engineering: 11th International Conference on …, 2009
182009
Session analysis of people search within a professional social network
R He, J Wang, J Tian, CT Chu, B Mauney, I Perisic
Journal of the American Society for Information Science and Technology 64 (5 …, 2013
72013
SAS: Self-Augmentation Strategy for Language Model Pre-training
Y Xu, J Zhang, R He, L Ge, C Yang, C Yang, YN Wu
AAAI Conference on Artificial Intelligence, 2022
32022
PEER: Pre-training ELECTRA Extended by Ranking
R He, W Wang, S Huang, F Huang
Findings of the Association for Computational Linguistics: ACL 2023, 6475-6491, 2023
2023
GUIM--General User and Item Embedding with Mixture of Representation in E-commerce
C Yang, R He, F Lin, S Song, J Zhang, C Yang
arXiv preprint arXiv:2207.00750, 2022
2022
SAS: self-augmented strategy for language model pre-training.
Y Xu, J Zhang, R He, L Ge, C Yang, YN Wu
AAAI Conference on Artificial Intelligence, 2022
2022
Structure learning in Bayesian networks and session analysis of people search within a professional social network
R He
2014
Web application model
R He
Supplementary Proceedings of International Symposium on Software Reliability …, 2002
2002
Pre-training Model Product and Processing Method, Electronic Device and Storage Medium
R He, W Wang, S Huang, F Huang
CN Patent App. 202,310,464,544, 0
Data Model Training and Data Processing Method and Device, Equipment and Storage Medium
C Yang, R He, F Lin, J Zhang, C Yang, S Song
CN Patent App. 202,010,334,097, 0
Item-Oriented User Representation Approach to Address Diverse Interests in Item Cold-Start Recommendation
F Lin, R He, Y Li, J Zhang, C Yang
CN Patent App. 201,910,760,394, 0
Demand Forecasting via Direct Quantile Loss Optimization Using Neural Networks
K Torkkola, R He, WY Hua, AM Lamb, B Narayanaswamy, Z Cen
US Patent App. P36,059, 0
On Approximate Probabilistic Model Checking of Unbounded Until Properties
R He, AP Ghosh, S Basu
Structure Learning in Bayesian Networks of Moderate Size by Efficient Sampling (Supplementary Material)
R He, J Tian, H Wu
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