Christopher J Chan

US Patent:

20220300804, Sep 22, 2022

Filed:

Jun 17, 2021

Appl. No.:

17/350460

Inventors:

- Dublin, IE
Guanglei Xiong - Pleasanton CA, US
Christopher Yen-Chu Chan - Jersey City NJ, US
Jayashree Subrahmonia - San Jose CA, US
Aaron James Sander - Silver Spring MD, US
Sukryool Kang - Dublin CA, US
Wenxian Zhang - San Jose CA, US

International Classification:

G06N 3/08
G06N 3/04

Abstract:

Implementations are directed to receiving a set of tuples, each tuple including an entity and a product from a set of products, for each tuple: generating, by an embedding module, a total latent vector as input to a recommender network, the total latent vector generated based on a structural vector, a textual vector, and a categorical vector, each generated based on a product profile of a respective product and an entity profile of the entity, generating, by a context integration module, a latent context vector based on a context vector representative of a context of the entity, and inputting the total latent vector and the latent context vector to the recommender network, the recommender network being trained by few-shot learning using a multi-task loss function, and generating, by the recommender network, a prediction including a set of recommendations specific to the entity.

US Patent:

20220300854, Sep 22, 2022

Filed:

Jul 8, 2021

Appl. No.:

17/370434

Inventors:

- Dublin, IE
Guanglei Xiong - Pleasanton CA, US
Wenxian Zhang - San Jose CA, US
Sukryool Kang - Dublin CA, US
Jing Su Brewer - San Jose CA, US
Ivan A. Wong - Edison NJ, US
Christopher Yen-Chu Chan - Jersey City NJ, US
Danielle Moffat - Highlands Ranch CO, US
Jayashree Subrahmonia - San Jose CA, US
Louise Noreen Barrere - Torrance CA, US

International Classification:

G06N 20/00
G06N 5/02
G06Q 10/06

Abstract:

Implementations of the present disclosure include receiving a goal, providing a problem-specific knowledge graph that is responsive to at least a portion of the goal, determining a set of events from the problem-specific knowledge graph, processing data representative of events in the set of events through a first machine learning (ML) model to provide a set of event scores, each event score in the set of event scores being associated with a respective event in the set of events, determining a sub-set of events based on the set of event scores, for each event in the sub-set of events, determining at least one action by processing a sequence of actions through a second ML model, and outputting the sub-set of events and a set of actions for execution of at least one action in the set of actions.

US Patent:

20210405962, Dec 30, 2021

Filed:

Oct 3, 2019

Appl. No.:

17/280849

Inventors:

- Mountain View CA, US
Adrian Paul Diaconu - Mountain View CA, US
Xiaowei Jiang - Mountain View CA, US
Christopher K. Chan - Mountain View CA, US

International Classification:

G06F 3/16
H04L 29/06
H04L 7/00

Abstract:

The various implementations described herein include methods and systems for synchronous audio playback. In one aspect, a method is performed at each of a plurality of electronic devices, each having an audio system, an internal clock, processors and memory storing programs for execution by the processors. Each device is configured for two-way communications with a server and associated with a user account. The device receives an identification of a first device as a common clock device that has a first internal clock being designated as a master clock. The device receives a synchronized audio playback command that includes audio data to be output and a future playback time. In response to receiving the audio data, the device determines a synchronized audio playback time. If the determined synchronized audio playback time has not yet occurred, the electronic device outputs the audio data based on the determined synchronized audio playback time.

US Patent:

20180305456, Oct 25, 2018

Filed:

Aug 17, 2017

Appl. No.:

15/680187

Inventors:

Mark White - Antioch CA, US
Sandeep Kumar - San Bruno CA, US
Christopher Chan - South San Francisco CA, US
Spencer Liang - San Mateo CA, US
Lance Stapleton - Oakland CA, US
Andrew W. Drake - Mountain View CA, US
Yosi Gozlan - Tel Aviv, IL
Ilan Vaknin - Tel Aviv, IL
Shirley Sameah-Greenwald - Kfar Saba, IL
Liat Dassa - Tel Aviv, IL
Zohar Tiran - Oranit, IL
Gad S. Cojocaru - Tel Aviv, IL
Maya Kotturi - Belmont CA, US
Hsin-Yuan Cheng - San Mateo CA, US
Kyle Hansen - San Francisco CA, US
David Nisim Giladi - Netaniya, IL
Einav Safyon - Raanana, IL
Eran Ophir - Even Yehuda, IL
Leonard Presta - San Francisco CA, US
Richard Theolis - Santa Cruz CA, US
Radhika Desai - Brisbane CA, US
Patrick Wall - Mill Valley CA, US

International Classification:

C07K 16/28
A61P 35/00

Abstract:

Anti-PVRIG and anti-TIGIT antibodies are provided.

US Patent:

20180169238, Jun 21, 2018

Filed:

Oct 26, 2017

Appl. No.:

15/795135

Inventors:

Mark White - Antioch CA, US
Sandeep Kumar - San Bruno CA, US
Christopher Chan - South San Francisco CA, US
Spencer Liang - San Mateo CA, US
Lance Stapleton - Oakland CA, US
Andrew W. Drake - Mountain View CA, US
Yosi Gozlan - Tel Aviv, IL
Ilan Vaknin - Tel Aviv, IL
Shirley Sameah-Greenwald - Kfar Saba, IL
Liat Dassa - Tel Aviv, IL
Zohar Tiran - Oranit, IL
Gad S. Cojocaru - Tel Aviv, IL
Maya Kotturi - Belmont CA, US
Hsin-Yuan Cheng - San Mateo CA, US
Kyle Hansen - San Francisco CA, US
David Nisim Giladi - Netaniya, IL
Einav Safyon - Raanana, IL
Eran Ophir - Even Yehuda, IL
Leonard Presta - San Francisco CA, US
Richard Theolis - Santa Cruz CA, US
Radhika Desai - Brisbane CA, US
Patrick Wall - Mill Valley CA, US

International Classification:

A61K 39/395

Abstract:

Anti-PVRIG and anti-TIGIT antibodies are provided.