Ping Li

6678084, Jan 13, 2004

Apr 18, 2002

10/124716

Michael J. Little - Oak Park CA
William P. Eaton - Thousand Oaks CA
Thomas S. Tyrie - Oak Park CA
Harry Melkonian - Ventura CA
Ping Li - Diamond Bar CA

NP Photonics, Inc. - Tucson AZ

G02B 2600

359290, 359291, 359295, 359298, 359224

The present invention provides method of making mechanisms in which the relative locations of elements are maintained during manufacturing. The methods according to the present invention can be used to make a variety of devices, including tunable optical devices. The methods include displaceably attaching an island (support) to a frame with a non-rigid material.

6965620, Nov 15, 2005

Mar 10, 2003

10/384813

Christine P. Spiegelberg - Tucson AZ, US
Jihong Geng - Tucson AZ, US
Yushi Kaneda - Tucson AZ, US
Shibin Jiang - Tucson AZ, US
Ronald Pollock - Van Nuys CA, US
Ik Joon Song - Montebello CA, US
Ping Li - Diamond Bar CA, US
Sean Staines - Hampshire, GB
Chih-Jen Chi - Thousand Oaks CA, US

NP Photonics, Inc. - Tucson AZ

H01S003/00

372 6, 372 92, 372 99, 372102

A short laser cavity (up to 30 cm in length) comprising a free-space tunable MEMS Fabry-Perot filter, a collimating lens and a section of erbium-doped phosphate gain fiber (2-25 cm) is formed between a pair of broadband reflectors. The cavity is optically pumped to excite the erbium ions and provide gain, which establishes an initial longitudinal mode structure that spans the C-band with a mode spacing of at least 0. 3 GHz and a roundtrip unsaturated gain of at least 8 dB over the tuning range. A controller tunes the MEMS filter, which has a filter function whose spectral width is at most ten and preferably less than four times the longitudinal mode spacing, to align its transmission maxima to one of a plurality of discrete output wavelengths that span the C-band. A thermal control element adjusts the longitudinal mode structure to align a single mode with the transmission maxima of the filter. Because the spectral width of the filter function is narrow, laser emission will be limited to a single longitudinal mode.

D689365, Sep 10, 2013

Aug 15, 2012

29/429741

Ping Li - Los Angeles CA, US

0907

D 9451

20210133246, May 6, 2021

Sep 27, 2020

17/033791

- Sunnyvale CA, US
Zhixin ZHOU - Los Angeles CA, US
Zhaozhuo XU - Houston TX, US
Ping LI - Bellevue WA, US

Baidu USA LLC - Sunnyvale CA

G06F 16/901
G06F 17/16
G06F 16/903

Presented herein are embodiments of a fast search on graph methodology for Maximum Inner Product Search (MIPS). This optimization problem is challenging since traditional Approximate Nearest Neighbor (ANN) search methods may not perform efficiently in the nonmetric similarity measure. Embodiments herein are based on the property that a Möbius/Möbius-like transformation introduces an isomorphism between a subgraph of -Delaunay graph and Delaunay graph for inner product. Under this observation, embodiments of a novel graph indexing and searching methodology are presented to find the optimal solution with the largest inner product with the query. Experiments show significant improvements compared to existing methods.

20210117459, Apr 22, 2021

Sep 16, 2020

17/023283

- Sunnyvale CA, US
Zhixin ZHOU - Los Angeles CA, US
Zhaozhuo XU - Houston TX, US
Ping LI - Bellevue WA, US

Baidu USA LLC - Sunnyvale CA

G06F 16/33
G06F 16/901
G06K 9/62

Retrieval of relevant vectors produced by representation learning can critically influence the efficiency in Natural Language Processing (NLP) tasks. Presented herein are systems and methods for searching vectors via a typical nonmetric matching function: inner product. Embodiments, which construct an approximate Inner Product Delaunay Graph (IPDG) for top-1 Maximum Inner Product Search (MIPS), transform retrieving the most suitable latent vectors into a graph search problem with great benefits of efficiency. Experiments on data representations learned for different machine learning tasks verify the outperforming effectiveness and efficiency of IPDG embodiments.