Shuo Li from San Jose, CA, age 38

Resumes

Solution Strategist At Intel Corporation

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Location:

17204 northwest Holcomb Dr, Portland, OR 97229

Industry:

Semiconductors

Work:

Intel Corporation 1988 - 2008
Senior Design Engineer
Intel Corporation 1988 - 2008
Solution Strategist at Intel Corporation
Intel Corporation 1988 - 2003
Business

Education:

Duke University - the Fuqua School of Business 2000 - 2001
Oregon Health & Science University 1999 - 2000
Masters, Finance University of Oregon 1986 - 1987
Masters, Computer Science Wuhan University 1981 - 1985
Bachelors, Computer Science Wuhan No.1 High School
Duke University
Master of Business Administration, Masters, Marketing, Finance Oregon Graduate Institute
Master of Science, Masters, Finance Wuhan No 1. High School

Skills:

Semiconductors
Computational Intelligence
Finance
Economics
Financial Engineering

Languages:

Mandarin

Senior Design Engineer

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Location:

Santa Clara, CA

Industry:

Semiconductors

Work:

Ampere
Senior Design Engineer
Ampere
Design Engineer
Appliedmicro Oct 2015 - Nov 2017
Hardware Design Engineer

Education:

University of Southern California 2013 - 2015
Masters, Electronics Engineering, Electronics China University of Mining and Technology 2009 - 2013
Bachelors, Electronics Engineering

Skills:

Verilog
Electrical Engineering
Vlsi Design
Digital Circuit Design
Rtl Design
Computer Architecture
Application Specific Integrated Circuits
Physical Design
Layout

Languages:

English
Mandarin

Shuo Li

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Work:

United States

Education:

The Ohio State University

Shuo Li

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Shuo Li

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Shuo Li

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Shuo Li Baltimore, MD

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Work:

American Association for the Advancement of Science
Washington, DC
Jul 2012 to Nov 2012
Web developer Intern
Northeastern University Career Center
Shenyang, CN
Apr 2011 to Jun 2011
Communication director
Tarena Technologies Inc

Jun 2010 to Oct 2010
Training as Software Engineer

Education:

Johns Hopkins University
Baltimore, MD
Mar 2013
Computer Science
Northeastern University
Shenyang, CN
Mar 2011
Bachelor of Software Engineering

Skills:

Java, C/C++, JavaScript, Ruby, Python, Android, SQL, Database, Web Tech, JQuery, CSS3, HTML5, SASS, etc. Systematic understanding of Frameworks: Ruby on Rails, J2EE (Struts2, Spring, Hibernate). Skilled with parallel programming: familiar with AWS, Hadoop and CUDA. Strong Skills of Object-Oriented Software Engineering: UML, Design Pattern. Strong Knowledge of Machine Learning: SVM, Neural Network, EM, Topic Model, Weka, etc. understand popular crypto algorithms (AES, RSA, etc.), protocols and attacks ,Certificated Linux Engineer, Unix and Linux development and configuration.

Publications

Us Patents

Method And System For Calibrating Sensing Circuitry Of An Implanted Medical Device

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US Patent:

20230083815, Mar 16, 2023

Filed:

Jul 6, 2022

Appl. No.:

17/810923

Inventors:

- Sylmar CA, US
Dean Andersen - Santa Clara CA, US
Shuo Li - Burbank CA, US

International Classification:

H03M 1/10
H03M 1/12

Abstract:

A system is provided that includes electrodes configured to be implanted in a body, and a pulse generator (PG) circuitry to deliver a stimulus to one or more of the electrodes. The system also includes sensing circuitry configured to define a sensing channel between one or more of the electrodes to sense signals indicative of a physiologic activity of interest, and the sensing circuitry further configured to collect a calibration signal over the sensing channel. The sensing circuitry and PG circuitry are housed within an implantable medical device (IMD). The system also includes one or more processors configured to determine a signal characteristic of interest (COI) of the calibration signal. The one or more processors are also configured to compare a signal COI of the stimulus to the signal COI of the calibration signal, and adjust a parameter of the sensing circuitry or PG circuitry based on the comparison.

Dynamically Providing Digital Content To Client Devices By Analyzing Insertion Points Within A Digital Video

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US Patent:

20190104331, Apr 4, 2019

Filed:

Jan 3, 2018

Appl. No.:

15/861235

Inventors:

- Menlo Park CA, US
Eric Hsin-Chun Huang - Foster City CA, US
Shuo Li - Redwood City CA, US
Weitong Liu - Redwood City CA, US
Menghan Li - San Jose CA, US

International Classification:

H04N 21/236
H04N 21/472
H04N 21/478
G06Q 50/00

Abstract:

The present disclosure is directed toward systems and methods for dynamically providing digital content to client devices at different insertion points of a digital video based on predicted total value of inserting the digital content and predicted engagement loss of inserting the digital content. For example, system and methods described herein determine that an insertion point is approaching in an actively playing digital video. In response, systems and methods identify digital content for insertion at the insertion point. In one or more embodiments, the described systems and methods insert the identified digital content by comparing the predicted total value of inserting the digital content at the insertion point of the digital video and a predicted engagement loss associated with inserting the digital content at the insertion point of the digital video.

Semantic Signatures

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US Patent:

20190080234, Mar 14, 2019

Filed:

Aug 22, 2018

Appl. No.:

16/109280

Inventors:

- San Jose CA, US
Era Johal - San Jose CA, US
Yingwei Xin - San Jose CA, US
Shuo Li - San Francisco CA, US
Kunal Nitin Mehta - San Jose CA, US
Siyu Liao - Brooklyn NY, US

International Classification:

G06N 3/08
G06F 17/30

Abstract:

In various embodiments, methods and systems for implementing a semantic signature system are provided. A semantic signature system provides a machine trained semantic representation (i.e., a semantic signature) of the context of a word, synonyms of the word, and weak and strong relationship of the word with other words. The semantic signature can be utilized to facilitate labeling a word that is ambiguous or previously unknown. In practice, the label can be used to more accurately categorize the word for later retrieval by a search or to more accurately provide search results for a search query that includes the word.

Relaxing Policy Rules For Regulating The Presentation Of Sponsored Content To A User Of An Online System Based On Characteristics Of The User

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US Patent:

20180253800, Sep 6, 2018

Filed:

Mar 1, 2017

Appl. No.:

15/446779

Inventors:

- Menlo Park CA, US
Jonathan Mooser - Mountain View CA, US
Cassidy Jake Morris - San Francisco CA, US
Halil Bayrak - San Jose CA, US
Aishwarya Rajagopal - Sunnyvale CA, US
Shuo Li - Mountain View CA, US
Leqiang Li - Sunnyvale CA, US
Zachary Zhang - Menlo Park CA, US

International Classification:

G06Q 50/00
G06Q 30/02

Abstract:

An online system applies content policies regulating presentation of sponsored content to its users. For example, content policies may prevent the presentation of sponsored content items in certain positions content feeds. The online system may relax a content policy when generating a content feed for a user based on characteristics of a user. For example, the online system generates a model determining a tolerance of the user for sponsored content, and relaxes one or more content policies if the tolerance of the user for sponsored content equals or exceeds a threshold. As another example, the online system determines whether to relax one or more content policies based on a comparison of a historical amount of compensation received from the user and an expected amount of compensation from presenting content items violating a content policy.

Predicting A User Quality Rating For A Content Item Eligible To Be Presented To A Viewing User Of An Online System

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US Patent:

20180082331, Mar 22, 2018

Filed:

Sep 22, 2016

Appl. No.:

15/272764

Inventors:

- Menlo Park CA, US
Shuo Li - Mountain View CA, US
Cassidy Jake Morris - San Francisco CA, US
Jonathan Mooser - Mountain View CA, US
Xu Wang - Mountain View CA, US

International Classification:

G06Q 30/02

Abstract:

An online system selects content items for presentation to viewing users of the online system based on a composite score associated with each content item that includes a quality component and a revenue component. The revenue component is based on a monetary amount an advertiser associated with the content item is willing to pay for each interaction with the content item by a prospective viewing user, while the quality component indicates the quality of the content item to the prospective viewing user. The quality component is predicted based on explicit user quality ratings received from viewing users for various content items previously presented to the viewing users, in which the viewing users have at least a threshold measure of similarity to the prospective viewing user and/or the various content items rated by the viewing users have at least a threshold measure of similarity to the content item being scored.

Evaluating Content Items For Presentation To An Online System User Based In Part On Content External To The Online System Associated With The Content Items

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US Patent:

20170024764, Jan 26, 2017

Filed:

Jul 22, 2015

Appl. No.:

14/806310

Inventors:

- Menlo Park CA, US
Yi Tang - Mountain View CA, US
Justin Paul Parrella - San Francisco CA, US
Shuo Li - Mountain View CA, US
Kai Du - San Jose CA, US

International Classification:

G06Q 30/02
G06F 17/30

Abstract:

An online system receives advertisement (“ad”) requests for presentation to online system users. An ad request may include an identifier of a landing page identifying a source external to the online system from which content is retrieved and presented to a user who interacts with content from the ad request. The online system determines a quality score for the source based on a frequency with which online system users request content from the source via the online system and various types of interactions by online system users with content associated with the source that is presented by the online system (e.g., interactions with content associated with the source indicating user interest in the source). Based on the quality score for the source, the online system modifies a score for the ad request used by the online system to determine whether to present content form the ad request to a user.

Selecting Content For Presentation To Social Networking System Users Based On User Engagement With Content

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US Patent:

20160358229, Dec 8, 2016

Filed:

Jun 5, 2015

Appl. No.:

14/731565

Inventors:

- Menlo Park CA, US
Shuo Li - Mountain View CA, US
Ke Pan - Sunnyvale CA, US
Justin Paul Parrella - San Francisco CA, US
Yi Tang - Mountain View CA, US

International Classification:

G06Q 30/02
H04L 12/58
G06Q 50/00
H04L 29/08

Abstract:

A social networking system presents a content feed including organic content items and sponsored content items to a user. To maintain user interaction with the content feed, the social networking system determines probabilities of the user performing various types of interactions with a sponsored content item and accounts for the determined probabilities when selecting content items for presentation via the content feed. For example, the social networking system generates a value for the sponsored content item based on the determined probabilities and determines a score for the sponsored content item based on the value and a bid amount associated with the sponsored content item. When selecting content for the content feed, the social networking system evaluates the sponsored content item based on its associated score. Prior interactions between the user and previously presented content may be used when determining the score for the sponsored content item.

Selecting Content Items For Presentation To A Social Networking System User Based In Part On Content Item Appearance

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US Patent:

20160189234, Jun 30, 2016

Filed:

Dec 24, 2014

Appl. No.:

14/582252

Inventors:

- Menlo Park CA, US
Jonathan Mooser - Mountain View CA, US
Yinan Na - Mountain View CA, US
Jeffrey William Pasternack - Belmont CA, US
Shuo Li - Mountain View CA, US

International Classification:

G06Q 30/02
G06Q 50/00

Abstract:

A social networking system selects content items for presentation to a user. To promote user interaction with selected content items, the social networking system scores content items based at least in part on similarity in appearances of the content items to an appearance of a content item for which the social networking system is compensated for presentation (a “sponsored content item”). For example, a model is applied to features describing appearance of a content item to generate the score for a content item. When selecting content items for presentation, a score associated with a content item may modify the likelihood of the content item being selected. A content item with a score indicating greater than a threshold similarity in appearance to an appearance of a sponsored content item may be penalized when the social networking system selects content for presentation.

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