Xiao Y Hu

57678677, Jun 16, 1998

Nov 27, 1995

8/563033

Xiao Ping Hu - Mountain View CA

Sun Microsystems, Inc. - Palo Alto CA

G06F 1300

345524

An image alpha blending method utilizing a parallel processor is provided. The computer-implemented method includes the steps of loading unaligned multiple word components into a processor in one machine instruction, each word component associated with a pixel of an image; alpha blending the multiple word components of different source images and a control image in parallel; and storing the alpha blended multiple word components of a destination image into memory in parallel.

20230099263, Mar 30, 2023

Dec 2, 2022

18/074203

- Sunnyvale CA, US
Xiao Hu - San Jose CA, US
Amit Srivastav - Dublin CA, US
Norman Cheng - Pleasanton CA, US

Fortinet, Inc. - Sunnyvale CA

H04W 12/069
H04W 48/16
H04W 12/037
H04W 76/10
H04W 80/02

Systems and methods are for securing link aggregation are provided. According to an embodiment, a network device in a secure domain discovers device information associated with a peer network device in an untrusted domain that is connected through a first link directly connecting a first interface of the network device to a first interface of the peer network device, and authenticates the peer while allowing at least some network traffic to continue to be transmitted through the first interface. The network device establishes a secure session between the network device and the peer over the first link when the peer network device is successfully authenticated. The network device then allows the first link to operate as part of a single aggregated logical link, including a second link coupling a second interface of the network device to a second interface of the peer network device.

20200292839, Sep 17, 2020

Dec 4, 2019

16/702639

- Cupertino CA, US
Ahmed Rashid - San Francisco CA, US
Colleen F. Mischke - Sunnyvale CA, US
Peng Chen - Fremont CA, US
Talisa Mohammad Nejad - Cupertino CA, US
Xiao Hu - Cupertino CA, US
Yazan Z. Alnahhas - Mountain View CA, US

G02B 27/42
G01R 27/26

An optical module includes an enclosure and an optical output assembly mounted on the enclosure. An emitter mounted in the enclosure is configured to emit a beam of light toward the optical output assembly. A connector, which includes two conductive layers separated by a dielectric layer, has a first side connected to the enclosure and a second side connected to the optical output assembly. An electrical trace disposed on the enclosure is connected to the first side of the connector so as to define a test circuit having a capacitance. Control circuitry is coupled to sense the capacitance of the test circuit, and configured to inhibit operation of the emitter upon sensing a change in the capacitance that exceeds a predetermined threshold.

20190222508, Jul 18, 2019

Mar 25, 2019

16/363939

- Sunnyvale CA, US
Xiao Hu - San Jose CA, US
Stephen Su - Los Altos Hills CA, US

H04L 12/721
G06F 13/12
H04L 29/12
H04L 12/46
H04L 12/713

In some examples, a computing device comprises a virtual network endpoint; a network interface card (NIC) comprising a first hardware component and a second hardware component, wherein the first hardware component and the second hardware component provide separate packet input/output access to a physical network interface of the NIC, wherein the NIC is configured to receive a packet inbound from the physical network interface; and a virtual router to receive the packet from the NIC and output, using the first hardware component, in response to determining a destination endpoint of the packet is the virtual network endpoint, the packet back to the NIC, wherein the NIC is further configured to switch, in response to receiving the packet from the virtual router, the packet to the virtual network endpoint and to output, using the second hardware component, the packet to the virtual network endpoint.

20180254981, Sep 6, 2018

Mar 1, 2017

15/447021

- Sunnyvale CA, US
Xiao Hu - San Jose CA, US
Stephen Su - Los Altos Hills CA, US

H04L 12/721
H04L 12/46
H04L 12/713
H04L 29/12

In some examples, a computing device comprises a virtual network endpoint; a network interface card (NIC) comprising a first hardware component and a second hardware component, wherein the first hardware component and the second hardware component provide separate packet input/output access to a physical network interface of the NIC, wherein the NIC is configured to receive a packet inbound from the physical network interface; and a virtual router to receive the packet from the NIC and output, using the first hardware component, in response to determining a destination endpoint of the packet is the virtual network endpoint, the packet back to the NIC, wherein the NIC is further configured to switch, in response to receiving the packet from the virtual router, the packet to the virtual network endpoint and to output, using the second hardware component, the packet to the virtual network endpoint.

20160374624, Dec 29, 2016

Sep 8, 2016

15/259305

- Oakland CA, US
Xiao Hu - San Francisco CA, US

THE REGENTS OF THE UNIVERSITY OF CALIFORNIA - Oakland CA

A61B 5/00
A61B 5/026
A61B 5/03
A61B 5/0205

Systems and methods for assessing a non-accessible parameter from accessible parameters are provided. A training process produces three databases: A dynamical model database containing input/output (I/O) models relating ABP/CBFV to ICP when estimating ICP; a mapping function database containing a mapping function for each entry in the model database, providing estimated of the dissimilarity between the unknown ICP and simulated ICP using the corresponding dynamical model on a given instance of ABP/CBFV; and a query feature database of vectors extracted from an instance of ABP/CBFV. New ABP/CBFV measurements are analyzed to extract query features that are evaluated by each mapping function in the database. The output is dissimilarity metrics providing estimates of the quality of the simulated ICP using the database models for a given ABP/CBFV instance. The dissimilarity metrics are ranked to find the optimal model. The model is used to simulate ICP using the new ABP/CBFV.