Hong Te Lu

US Patent:

20110215903, Sep 8, 2011

Filed:

Mar 4, 2010

Appl. No.:

12/717364

Inventors:

Jun Yang - Milpitas CA, US
Hong Lu - Hanover NH, US
Zhigang Liu - Sunnyvale CA, US

Assignee:

NOKIA CORPORATION - Espoo

International Classification:

G08B 5/22

US Classification:

340 81

Abstract:

In one or more embodiments described herein, there is provided an apparatus configured to identify a particular motion state of a portable electronic device, and vary the geographical location data sampling rate for the portable electronic device based on the identified particular motion state of the portable electronic device.

US Patent:

20190079957, Mar 14, 2019

Filed:

Sep 12, 2017

Appl. No.:

15/702517

Inventors:

- Sunnyvale CA, US
Weiqin Ma - San Jose CA, US
Weidong Zhang - San Jose CA, US
Hong Lu - Fremont CA, US

Assignee:

LinkedIn Corporation - Sunnyvale CA

International Classification:

G06F 17/30
G06Q 10/10

Abstract:

The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of features for use by a set of statistical models. Next, the system generates a schema that includes a logical description of data represented by the features and a physical description related to generating and storing the features. The system then outputs the schema for use in managing and sharing the features across the statistical models. Finally, the system updates the outputted schema to reflect one or more parameters from a user.

US Patent:

20190079994, Mar 14, 2019

Filed:

Sep 12, 2017

Appl. No.:

15/702513

Inventors:

- Sunnyvale CA, US
Wenxuan Gao - Santa Clara CA, US
Weidong Zhang - San Jose CA, US
Hong Lu - Fremont CA, US

Assignee:

LinkedIn Corporation - Sunnyvale CA

International Classification:

G06F 17/30

Abstract:

The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of features for use with one or more statistical models. Next, the system generates feature profiling data containing a set of statistics for the set of features. The system then outputs the feature profiling data for use in characterizing a distribution of the features. Furthermore, the system updates the outputted feature profiling data based on a granularity associated with the statistics. Finally, the system uses the statistics in the feature profiling data to perform anomaly detection and alerts users if unexpected feature distribution change is detected.

US Patent:

20170281079, Oct 5, 2017

Filed:

Mar 30, 2016

Appl. No.:

15/084670

Inventors:

Lama Nachman - Santa Clara CA, US
Hong Lu - Santa Clara CA, US
Jennifer Healey - San Jose CA, US
Rahul C. Shah - San Francisco CA, US
Jonathan J. Huang - Pleasanton CA, US
Rita H. Wouhaybi - Portland OR, US
Giuseppe Raffa - Portland OR, US

International Classification:

A61B 5/00
A61B 5/11
A63B 24/00
A61B 5/22
A63B 22/02
H04L 29/08
A61B 5/1172

Abstract:

System and techniques for tracking caloric expenditure using sensor driven fingerprints are described herein. A set of outputs may be obtained from a plurality of sensors. A fingerprint may be generated using the set of outputs. The fingerprint may correspond to an activity observed by the plurality of sensors. The generated fingerprint may be compared to a set of fingerprints stored in a database. Each fingerprint of the set of fingerprints may correspond to a respective caloric expenditure. A caloric expenditure may be calculated for the activity based on the comparison. An exercise profile of a user may be updated using the caloric expenditure

US Patent:

20170286551, Oct 5, 2017

Filed:

Apr 22, 2016

Appl. No.:

15/136502

Inventors:

- Mountain View CA, US
Weiqin Ma - San Jose CA, US
Weidong Zhang - San Jose CA, US
Liwen Zhang - San Carlos CA, US
Srihari R. Duddukuru - San Jose CA, US
SangHyun Park - Fremont CA, US
Yongzheng Zhang - San Jose CA, US
Yi Zheng - Cupertino CA, US
Hong Lu - Fremont CA, US
Yurong Shi - San Jose CA, US
Chi-Yi Kuan - Fremont CA, US

Assignee:

LinkedIn Corporation - Mountain View CA

International Classification:

G06F 17/30
G06F 17/24

Abstract:

The disclosed embodiments provide a system for processing data. During operation, the system obtains a first configuration for processing a first set of content items from a first data source and a second configuration for processing a second set of content items from a second data source. For each content item in the first set of content items, the system uses mappings from the first configuration to transform original fields from the content item into required fields in a record representing the content item. Next, the system generates, from the required fields, a document key for the content item. The system also performs deduplication of multiple records with the document key and stores a single record with the document key. Finally, the system uses the second configuration to generate, from the second set of content items, a set of records independently of processing the first set of content items.

US Patent:

20170154057, Jun 1, 2017

Filed:

Nov 30, 2015

Appl. No.:

14/954303

Inventors:

- Mountain View CA, US
Weiqin Ma - San Jose CA, US
Qiang Zhu - Sunnyvale CA, US
Yuankui Sun - Mountain View CA, US
Yan Liu - Sunnyvale CA, US
Weidong Zhang - San Jose CA, US
Hong Lu - Fremont CA, US

Assignee:

LinkedIn Corporation - Mountain View CA

International Classification:

G06F 17/30

Abstract:

The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of records from a set of inputs, with each record containing an entity key, a partition key, and one or more attribute-value pairs. For each attribute-value pair in the records, the system maps an attribute name in the attribute-value pair to a unique identifier for the attribute name and replaces the attribute name with the unique identifier. The system then identifies a subset of the records with a matching entity key and a matching partition key and merges the subset of the records into a single record that includes the matching entity key, the matching partition key, and a single field containing a list of attribute-value pairs from the subset of the records. Finally, the system provides the single record and the mapping for use in querying from a centralized source.

US Patent:

20170091628, Mar 30, 2017

Filed:

Sep 26, 2015

Appl. No.:

14/866889

Inventors:

Lama Nachman - Santa Clara CA, US
Ashwini Asokan - Sunnyvale CA, US
Giuseppe Raffa - Portland OR, US
Rita H. Wouhaybi - Portland OR, US
Saurav Sahay - Santa Clara CA, US
Omar U. Florez - Sunnyvale CA, US
Rahul C. Shah - San Francisco CA, US
Jonathan J. Huang - Pleasanton CA, US
Hong Lu - Santa Clara CA, US
Sangita Sharma - Portland OR, US
Junaith Ahemed Shahabdeen - San Jose CA, US
Douglas P. Bogia - Forest Grove OR, US
Lenitra Durham - Beaverton OR, US

International Classification:

G06N 5/04
G06F 17/27
G06N 99/00
G06T 11/20

Abstract:

Technologies for automated context-aware media curation include a computing device that captures context data associated with media objects. The context data may include location data, proximity data, behavior data of the user, and social activity data. The computing device generates inferred context data using one or more cognitive or machine learning algorithms. The inferred context data may include semantic time or location data, activity data, or sentiment data. The computing device updates a user context model and an expanded media object graph based on the context data and the inferred context data. The computing device selects one or more target media objects using the user context model and the expanded media object graph. The computing device may present context-aware media experiences to the user with the target media objects. Context-aware media experiences may include contextual semantic search and contextual media browsing. Other embodiments are described and claimed.