Shihai H He

US Patent:

20130243699, Sep 19, 2013

Filed:

Dec 7, 2012

Appl. No.:

13/708658

Inventors:

Ying Jing - Minneapolis MN, US
Shihai He - Minneapolis MN, US

Assignee:

REGENTS OF THE UNIVERSITY OF MINNESOTA - St. Paul MN

International Classification:

A61K 49/06
H05B 6/02
A61K 33/26
C22C 38/02
C22C 45/00
A61K 47/02
C22C 38/00
C22C 33/00

US Classification:

424 932, 420 8, 420128, 420 82, 219600, 427128, 2041921

Abstract:

The design of biodegradable magnetic nanoparticles for use in in-vivo biomedical applications. The particles can include Fe in combination with one or more of Mg, Zn, Si, C, N, and P atoms or other particles. The nanoparticles can be degraded in-vivo after usage. The nanoparticles can cease heating upon reaching a predetermined temperature or other value.

US Patent:

20120181171, Jul 19, 2012

Filed:

Jan 13, 2012

Appl. No.:

13/350421

Inventors:

Jian-Ping Wang - Shoreview MN, US
Shihai He - Minneapolis MN, US

Assignee:

Regents of the University of Minnesota - St. Paul MN

International Classification:

C23C 14/35
B82Y 99/00

US Classification:

20429805, 20429816, 20429812, 977902, 977773

Abstract:

Nanoparticle deposition systems including one or more of: a hollow target of a material; at least one rotating magnet providing a magnetic field that controls movement of ions and crystallization of nanoparticles from released atoms; a nanoparticle collection device that collects crystallized nanoparticles on a substrate, wherein relative motion between the substrate and at least a target continuously expose new surface areas of the substrate to the crystallized nanoparticles; a hollow anode with a target at least partially inside the hollow anode; or a first nanoparticle source providing first nanoparticles of a first material and a second nanoparticle source providing second nanoparticles of a second material.

US Patent:

20190325352, Oct 24, 2019

Filed:

Apr 20, 2018

Appl. No.:

15/959023

Inventors:

- Redmond WA, US
Fei Chen - Saratoga CA, US
Siyao Sun - Jersey City NJ, US
Shihai He - Fremont CA, US
Yu Gong - Santa Clara CA, US
Scott A. Banachowski - Mountain View CA, US
Joel D. Young - Milpitas CA, US

Assignee:

Microsoft Technology Licensing, LLC - Redmond WA

International Classification:

G06N 99/00
G06F 17/30

Abstract:

The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature dependency graph of features for a machine learning model and an operator dependency graph comprising operators to be applied to the features. Next, the system generates feature values of the features according to an evaluation order associated with the operator dependency graph and feature dependencies from the feature dependency graph. During evaluation of an operator in the evaluation order, the system updates a list of calculated features with one or more features that have been calculated for use with the operator. During evaluation of a subsequent operator in the evaluation order, the system uses the list of calculated features to omit recalculation of the feature(s) for use with the subsequent operator.

US Patent:

20190228343, Jul 25, 2019

Filed:

Jan 23, 2018

Appl. No.:

15/878186

Inventors:

- Redmond WA, US
Xuebin Yan - Sunnyvale CA, US
Shihai He - Fremont CA, US
Andris Birkmanis - Redwood City CA, US
Fei Chen - Saratoga CA, US
Yu Gong - Santa Clara CA, US
Chang-Ming Tsai - Fremont CA, US
Siyao Sun - Jersey City NJ, US
Joel D. Young - Milpitas CA, US

Assignee:

Microsoft Technology Licensing, LLC - Redmond WA

International Classification:

G06N 99/00

Abstract:

The disclosed embodiments provide a system for processing data. During operation, the system obtains a model definition and a training configuration for a machine-learning model, wherein the training configuration includes a set of required features, a training technique, and a scoring function. Next, the system uses the model definition and the training configuration to load the machine-learning model and the set of required features into a training pipeline without requiring a user to manually identify the set of required features. The system then uses the training pipeline and the training configuration to update a set of parameters for the machine-learning model. Finally, the system stores mappings containing the updated set of parameters and the set of required features in a representation of the machine-learning model.

US Patent:

20180294078, Oct 11, 2018

Filed:

Jun 8, 2018

Appl. No.:

16/003428

Inventors:

- Minneapolis MN, US
Shihai He - Fremont CA, US
Yanfeng Jiang - Minneapolis MN, US

International Classification:

H01F 1/01
H01F 41/02
H01F 7/02
B22D 11/06
B32B 15/01
H01F 1/047
C22C 38/00
C23C 8/80
C23C 8/26
C21D 1/76

Abstract:

A permanent magnet may include a FeNphase constitution. In some examples, the permanent magnet may be formed by a technique that includes straining an iron wire or sheet comprising at least one iron crystal in a direction substantially parallel to a crystal axis of the iron crystal; nitridizing the iron wire or sheet to form a nitridized iron wire or sheet; annealing the nitridized iron wire or sheet to form a FeNphase constitution in at least a portion of the nitridized iron wire or sheet; and pressing the nitridized iron wires and sheets to form bulk permanent magnet

US Patent:

20180127865, May 10, 2018

Filed:

Sep 22, 2017

Appl. No.:

15/712638

Inventors:

- Minneapolis MN, US
Shihai He - Minneapolis MN, US

International Classification:

C23C 14/22
H01J 37/34
B82Y 40/00
C23C 14/54
C23C 14/35

Abstract:

Nanoparticle deposition systems including one or more of: a hollow target of a material; at least one rotating magnet providing a magnetic field that controls movement of ions and crystallization of nanoparticles from released atoms; a nanoparticle collection device that collects crystallized nanoparticles on a substrate, wherein relative motion between the substrate and at least a target continuously expose new surface areas of the substrate to the crystallized nanoparticles; a hollow anode with a target at least partially inside the hollow anode; or a first nanoparticle source providing first nanoparticles of a first material and a second nanoparticle source providing second nanoparticles of a second material.

US Patent:

20170337941, Nov 23, 2017

Filed:

Aug 9, 2017

Appl. No.:

15/672857

Inventors:

- Fremont CA, US
SHIHAI HE - Fremont CA, US
DANIELE MAURI - San Jose CA, US
MING MAO - Dublin CA, US
SHAOPING LI - San Ramon CA, US

International Classification:

G11B 5/39
G11B 5/11
C21D 9/00
G11B 5/31
C21D 6/00
G11B 5/48

Abstract:

A method and system provide a magnetic transducer having an air-bearing surface (ABS). The method includes providing a first shield, a first read sensor, an antiferromagnetically coupled (AFC) shield that includes an antiferromagnet, a second read sensor and a second shield. The read sensors are between the first and second shields. The AFC shield is between the read sensors. An optional anneal for the first shield is in a magnetic field at a first angle from the ABS. Anneals for the first and second read sensors are in magnetic fields in desired first and second read sensor bias directions. The AFC shield anneal is in a magnetic field at a third angle from the ABS. The second shield anneal is in a magnetic field at a fifth angle from the ABS. The fifth angle is selected based on a thickness and a desired AFC shield bias direction for the antiferromagnet.

US Patent:

20170249959, Aug 31, 2017

Filed:

May 17, 2017

Appl. No.:

15/597342

Inventors:

- Fremont CA, US
Shaoping LI - San Ramon CA, US
Qunwen LENG - Palo Alto CA, US
YUANKAI ZHENG - Fremont CA, US
Rongfu XIAO - Dublin CA, US
MING MAO - Dublin CA, US
SHIHAI HE - Fremont CA, US
Miaoyin WANG - Fremont CA, US

International Classification:

G11B 5/39
G11B 5/115

Abstract:

A magnetic read apparatus includes a read sensor, a shield structure and a side magnetic bias structure. The read sensor includes a free layer having a side and a nonmagnetic spacer layer. The shield structure includes a shield pinning structure and a shield reference structure. The nonmagnetic spacer layer is between the shield reference structure and the free layer. The shield reference structure is between the shield pinning structure and the nonmagnetic spacer layer. The shield pinning structure includes a pinned magnetic moment in a first direction. The shield reference structure includes a shield reference structure magnetic moment weakly coupled with the pinned magnetic moment. The side magnetic bias structure is adjacent to the side of the free layer.