name:-0.015594005584717
name:-0.010087013244629
name:-0.010814189910889
Jin; Ou Patent Filings

Jin; Ou

Patent Applications and Registrations

Patent applications and USPTO patent grants for Jin; Ou.The latest application filed is for "performing synchronization in the background for highly scalable distributed training".

Company Profile
9.9.15
  • Jin; Ou - Fremont CA
  • Jin; Ou - San Jose CA
  • Jin; Ou - Mountain View CA
  • Jin; Ou - Morgan Hill CA
  • Jin; Ou - Shanghai CN
*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.
Trademarks
Patent Activity
PatentDate
Performing Synchronization in the Background for Highly Scalable Distributed Training
App 20220044112 - Zheng; Qinqing ;   et al.
2022-02-10
Post topic classification
Grant 11,144,826 - Zhang , et al. October 12, 2
2021-10-12
High-capacity machine learning system
Grant 11,068,802 - Malevich , et al. July 20, 2
2021-07-20
Sparse neural network training optimization
Grant 10,943,171 - Wu , et al. March 9, 2
2021-03-09
Neural network based content distribution in an online system
Grant 10,602,207 - Gao , et al.
2020-03-24
Neural Network Based Content Distribution In An Online System
App 20200045354 - Gao; Tianshi ;   et al.
2020-02-06
Post Topic Classification
App 20190197399 - Zhang; Ying ;   et al.
2019-06-27
Topic Classification Using A Jointly Trained Artificial Neural Network
App 20190197400 - Zhang; Ying ;   et al.
2019-06-27
Post Vectors
App 20190197190 - Zhang; Ying ;   et al.
2019-06-27
High-capacity machine learning system
Grant 10,229,357 - Jin , et al.
2019-03-12
Sparse Neural Network Training Optimization
App 20190073590 - Wu; Qiang ;   et al.
2019-03-07
High-capacity Machine Learning System
App 20190005406 - Malevich; Andrey ;   et al.
2019-01-03
Deep Semantic Content Selection
App 20180336490 - Gao; Tianshi ;   et al.
2018-11-22
Selection and modification of features used by one or more machine learned models used by an online system
Grant 10,002,329 - Mehanna , et al. June 19, 2
2018-06-19
Data-partitioned secondary index (DPSI) partition level join
Grant 9,940,359 - Baggett , et al. April 10, 2
2018-04-10
High-capacity Machine Learning System
App 20170076198 - Jin; Ou ;   et al.
2017-03-16
Data-partitioned Secondary Index (dpsi) Partition Level Join
App 20150339350 - Baggett; Brian L. ;   et al.
2015-11-26
Prediction Of Advertisement Reach Based On Advertiser Specified Bid And/or Budget Amounts
App 20150332310 - Cui; Xinyi ;   et al.
2015-11-19
Generation Of An Advertisement Bid-reach Landscape
App 20150332317 - Cui; Xinyi ;   et al.
2015-11-19
Method, apparatus, and computer program product for adaptive query parallelism partitioning with look-ahead probing and feedback
Grant 8,140,522 - Min , et al. March 20, 2
2012-03-20
Method for partitioning a query
Grant 7,930,294 - Shuf , et al. April 19, 2
2011-04-19
Method For Partitioning A Query
App 20100042631 - Shuf; Yefim ;   et al.
2010-02-18
Method, Apparatus, And Computer Program Product For Adaptive Query Parallelism Partitioning With Look-ahead Probing And Feedback
App 20100042607 - Min; Hong ;   et al.
2010-02-18
System And Method For Automatically Monitoring And Managing Wireless Network Performance
App 20090227251 - Lei; Bo ;   et al.
2009-09-10

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.

© 2024 USPTO.report | Privacy Policy | Resources | RSS Feed of Trademarks | Trademark Filings Twitter Feed