Dr. Liu graduated from the Shandong Med Univ, Jinan, Shandong, China (242 46 Prior 1 1 71) in 1990. He works in Decatur, IN and specializes in Internal Medicine and Neurology. Dr. Liu is affiliated with Adams Memorial Hospital.
Dupont Hospital Llc
2510 E Dupont Rd, Fort Wayne, IN 46825 Well Grp. Health Partners
333 Dixie Hwy, Chicago Heights, IL 60411 St Joe Medical Group
800 Broadway, Fort Wayne, IN 46802 Adams County Memorial Hospital
1100 Mercer Ave, Decatur, IN 46733 Wellgroup Healthpartners
3700 W 203Rd St, Olympia Fields, IL 60461 Cooper Surgical Assoc
3 Cooper Plz, Camden, NJ 08103
Barnaby Sam Wainfan - Long Beach CA Yu Ping Liu - Rolling Hills CA Daniel R. Rihn - Long Beach CA Douglas William Leggett - Los Angeles CA Martin James Georges - Corona CA Jeffry Scott Philhower - Segundo CA Douglas Ellwood Shultz - Brea CA
Assignee:
Northrop Grumman Corporation - Los Angeles CA
International Classification:
B64B 124 B64D 2700 B01D 3900
US Classification:
244 53B
Abstract:
In accordance with the present invention, there is provided an aircraft engine air intake cover for use with an air intake which is characterized by an air velocity profile therewithin. The air intake cover is provided with an air induction plate which disposed across at least a portion of the air intake. The air intake cover is further provided with a multitude of air induction ducts. The induction ducts are disposed about and extend through the air induction plate. Each induction duct has a duct inlet, a duct outlet and a duct body interposed between the duct inlet and the duct outlet. The duct inlets each respectively define an effective inlet diameter. The duct bodies each respectively define a duct body length which is greater than the associated effective duct inlet diameter. The duct outlets each respectively define an effective outlet diameter greater than the effective inlet diameter for increasing the cohesiveness of the air velocity profile within the air intake.
Efficient Generation Of Identity Provider Integrations
- San Francisco CA, US Lars Kristian Johansen - San Francisco CA, US Venkat Ramanan Viswanathan - Fremont CA, US Yu Liu - San Mateo CA, US Shantanu Sardal - Jersey City NJ, US
International Classification:
H04L 9/40 H04L 41/0806
Abstract:
An authentication system facilitates efficient generation of authentication integrations with third-party identity providers for client systems. The authentication system provides one or more interfaces configured to receive requests to make authentication integrations available for a third-party identity provider. The requests to make authentication integrations available include integration information for the relevant identity provider. Based on the request to make authentication integrations available, the authentication system generates an identity provider profile for the identity provider that can be used to generate authentication integrations with the identity provider for one or more client systems. Once the identity provider profile is generated, the authentication system uses the identity provider profile to generate authentication integrations for one or more client systems that request authentication through the third-party identity provider. In doing so, the authentication system provides an efficient process for providing authentication integrations with identity providers requested by client systems.
- San Francisco CA, US John Milinovich - San Francisco CA, US Lance Alan Riedel - Menlo Park CA, US Andrew Look - San Francisco CA, US Mukund Narasimhan - Bellevue WA, US Yu Liu - Los Altos CA, US
International Classification:
G06Q 30/06 G06Q 30/02 G06F 16/957
Abstract:
According to aspects of the disclosed subject matter, a taste graph comprising likely content collection nodes with corresponding likely digital content items is generated through one or more analyses of a corpus of content collections that is maintained by the online content service. As should be understood, this corpus of content collections is comprised of a plurality of curated content collections, with each content collection comprising a plurality of digital content items. With this taste graph available, as a user generates (or in response to a user generating) a content collection of digital content items, reference can be made to the taste graph to identify one or more digital content items that may be added to the content collection, where the one or more digital content items have a probabilistic likelihood of being complimentary and/or compatible with the other digital content items of the content collection.
- Summit NJ, US Roxxana Valeria Beltran Valencia - South San Francisco CA, US Maria Soraya Carrancio Anton - San Diego CA, US Henry H. Chang - San Francisco CA, US Shodeinde Coker - Princeton NJ, US Sharmila Das - North Brunswick NJ, US Ellen Hope Filvaroff - San Francisco CA, US Carla Guarinos Marhuenda - Alicante, ES Bishoy Hanna - Woodbridge NJ, US Yu Liu - Brookline MA, US Zariana Nikolova - Basel Land, CH Oriana Esposito - Ticino, CH
The present disclosure provides methods, pharmaceutical compositions, and kits for treating cancer in patients in need thereof. The methods comprise administering to a patient in need a BET (bromodomain and extra-terminal protein) inhibitor, or a pharmaceutically acceptable salt thereof, alone or in combination with one or more JAK inhibitors. Also provided are medicaments for use in treating cancer.
Label Shift Detection And Adjustment In Predictive Modeling
- Redmond WA, US Yu Liu - San Mateo CA, US Parvez Ahammad - San Jose CA, US Fangfang Tan - Mountain View CA, US
International Classification:
G06K 9/62 G06N 20/00
Abstract:
Techniques for detecting label shift and adjusting training data of predictive models in response are provided. In an embodiment, a first machine-learned model is used to generate a predicted label for each of multiple scoring instances. The first machine-learned model is trained using one or more machine learning techniques based on a plurality of training instances, each of which includes an observed label. In response to detecting a shift in observed labels, for each segment of one or more segments in multiple segments, a portion of training data that corresponds to the segment is identified. For each training instance in a subset of the portion of training data, the training instance is adjusted. The adjusted training instance is added to a final set of training data. The machine learning technique(s) are used to train a second machine-learned model based on the final set of training data.
- Berkeley CA, US Xi Chen - Berkeley CA, US Mostafa Rohaninejad - Saratoga CA, US Nikhil Mishra - Irvine CA, US Yu Xuan Liu - Sugar Land TX, US Andrew Amir Vaziri - Lutherville MD, US Haoran Tang - Emeryville CA, US Yide Shentu - Berkeley CA, US Ian Rust - San Francisco CA, US Carlos Florensa - Berkeley CA, US
International Classification:
B25J 9/16 B25J 15/06 B25J 19/02
Abstract:
Various embodiments of the present technology generally relate to robotic devices and artificial intelligence. More specifically, some embodiments relate to a robotic device for picking items from a bin and perturbing items in a bin. In some implementations, the device may include one or more computer-vision systems. A computer-vision system, in accordance with the present technology, may use at least two two-dimensional images to generate three-dimensional (3D) information about the bin and items in the bin. Based on the 3D information, a strategy for picking up items from the bin is determined. When no strategies with high probability of success exist, the robotic device may perturb the contents of the bin to create new available pick-up points and re-attempt to pick up an item.
System And Method For Managing On-Demand Test Drives
- San Francisco CA, US Irakly George Arison Areshidze - San Francisco CA, US Tobias Russell - Alexandria VA, US Minneola Ingersoll - San Francisco CA, US Christian Michael Ohler - San Francisco CA, US Hanna Klots Benbarak - San Francisco CA, US Michal Sobieski - Palo Alto CA, US Alejandro Cesar Ayestaran - San Francisco CA, US Pablo Ignacio Diaz Rozic - San Francisco CA, US Craig John Isakow - Oakland CA, US Yu Fei Liu - San Francisco CA, US Alexander Scott Paul - San Francisco CA, US Jonathan Alex Gold - San Mateo CA, US Saud Khan - Castro Valley CA, US Jonathan Vincent - San Francisco CA, US
International Classification:
G06Q 10/10 G06Q 10/08
Abstract:
A system and method for on demand test drives that can include managing a set of vehicle and worker resources in a resource management system; monitoring user browsing patterns of a customer on an online vehicle marketplace; receiving a test drive request from the customer, the request specifying a requested vehicle and test drive location; retrieving test drive availability options from the resource management system; setting a test drive appointment for a selected test drive availability option; coordinating worker and vehicle transport to a scheduled location of the test drive appointment; and delivering vehicle information during the test drive appointment.
- Foster City CA, US Yu Liu - Newark CA, US Chuang Wang - Sunnyvale CA, US
International Classification:
G01S 13/58 G01S 13/93
Abstract:
Sensors, including radar sensors, may be used to detect objects in an environment. In an example, a vehicle may include multiple radar sensors that sense objects around the vehicle, e.g., so the vehicle can navigate relative to the objects. Data from a first of the radar sensors can be analyzed to determine a cluster representing an object. Data received from a second sensor (and additional sensors, as included) at substantially the same time can be analyzed to determine additional points to include in the cluster. In additional examples, the radar sensors can have a different interval, e.g., Doppler interval, and information about the points and the intervals can be used to determine a speed of the object relative to the vehicle.
Name / Title
Company / Classification
Phones & Addresses
Mr Yu Tong Liu Owner
Kaminari Restaurants
3260 Highland Road, Suite 5, Baton Rouge, LA 70802 2253830999
Mr. Yu (Young) Liu Manager
DF Computer Centre Computers - Service & Repair
11 - 448 Welland Ave., St Catharines, ON L2M 7V3 9056881992
Yu Liu President
Delfancy, Inc
1405 San Marino Ave, Pasadena, CA 91108
Yu J. Liu President
Mdj Home Improvement Inc Single-Family House Construction
9835 E Lemon Ave, Arcadia, CA 91007
Yu Liu President
Bluebluesky Inc Nonclassifiable Establishments
300 W Vly Blvd, Alhambra, CA 91803
Yu Ling Liu President
POWER OF WHOLESALE, INC Whol Durable Goods · Wholesales Women's/Child's Clothing
760 S Stimson Ave, Hacienda Heights, CA 91745 1400 S San Gabriel Blvd, San Gabriel, CA 91776 760 S Stimson Ave, City of Industry, CA 91745 9098390186
Yu Liu Manager
DF Computer Centre Computers - Service & Repair
9056881992
Yu P. Liu Family And General Dentistry, President, Principal
Sun Family Dental Dentist's Office
8247 Whittier Blvd, Pico Rivera, CA 90660 5626921600
Jan 2014 to 2000 Data Integrity SpecialistCity of Toledo - Office of Utilities and Engineering Toledo, OH Jan 2012 to May 2012 Assistant EngineerAtlas Paving LLC Toledo, OH Aug 2011 to Dec 2011 EstimatorThe University of Toledo Civil Engineering Department Toledo, OH Feb 2011 to Aug 2011 Research AssistantChina United Engineering Corporation
Jun 2009 to Aug 2009 Assistant Engineer
Education:
Columbia University New York, NY Sep 2012 to Mar 2014 Master of Science in Construction Engineering and ManagementThe University of Toledo Toledo, OH Mar 2008 to Mar 2012 Bachelor of Science in Civil Engineering
Skills:
Project Management, Construction Management, Civil Engineering, Estimating, Financial Analysis, Real Estate, Accounting, Data Analysis, Quantitative Analytics, Microsoft Office Suite, Revit, C++, AutoCAD,SketchUp, GIS, VBA, Cadis
New Haven Shijiazhuang, China Wuhan, China Beijing, China San Francisco, CA Bar Harbor, ME Washington DC, US New York City, NY Boston, MA Atlanta, Georgia Hong Kong, China
Work:
Yale University - Full Time Student (2008)
Education:
Yale University, Wuhan University, Hong Kong University of Science and Technology
Yu Liu
Work:
China Minmetals
Education:
Tsinghua University - BS, Tsinghua University - MS
Yu Liu
Education:
Peking University - EE, Seoul National University - EE
Yu Liu
Work:
Synopsys - R&D engineer (2011)
Education:
Dalian University of Technology - Electrical engineering, University of Illinois at Chicago - Computer engineering
Yu Liu
Education:
University of Nevada, Las Vegas - Physics, mathematics, chemistry
Yu Liu
Education:
National Kaohsiung First University of Science and Technology - German