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Jinxin Z Yi

from Cary, NC
Age ~55

Jinxin Yi Phones & Addresses

  • 2006 Killearn Mill Ct, Cary, NC 27513 (919) 851-0663
  • 6327 Monitor St, Pittsburgh, PA 15217 (412) 421-4456
  • 4909 Center St, Pittsburgh, PA 15213 (412) 683-0133
  • 529 Carriage Woods Cir, Raleigh, NC 27607 (919) 851-0663
  • 6327 Monitor St #2, Pittsburgh, PA 15217 (412) 512-5515

Work

Company: Sas Position: Operations research specialist

Education

School / High School: Carnegie Mellon University 1997 to 2002

Industries

Computer Software

Resumes

Resumes

Jinxin Yi Photo 1

Operations Research Specialist At Sas

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Position:
Operations Research Specialist at SAS, Operations Research Specialist at SAS Institute, Inc.
Location:
Raleigh-Durham, North Carolina Area
Industry:
Computer Software
Work:
SAS
Operations Research Specialist

SAS Institute, Inc. since 2003
Operations Research Specialist

smartops 2001 - 2003
software developer
Education:
Carnegie Mellon University 1997 - 2002
Peking University 1995 - 1996
Tsinghua University 1987 - 1992
Bachelor, Mechanical Engineering

Publications

Us Patents

Systems And Methods For Multi-Echelon Inventory Planning With Lateral Transshipment

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US Patent:
20120054076, Mar 1, 2012
Filed:
Aug 30, 2010
Appl. No.:
12/871487
Inventors:
Xinmin Wu - Cary NC, US
Jinxin Yi - Raleigh NC, US
International Classification:
G06Q 10/00
US Classification:
705 28
Abstract:
In accordance with the teachings described herein, systems and methods are provided for optimizing inventory in a multi-echelon inventory distribution network having at least a first echelon and a second echelon. An example method may include the steps of: receiving information identifying an inventory pool that includes at least two inventory locations within the first or second echelons; determining inventory excesses or shortages at inventory locations within the inventory pool; determining an inventory transshipment plan for transferring inventory between two or more of the inventory locations in the inventory pool based at least in part on the inventory excesses or shortages; and determining an inventory replenishment plan for replenishing inventory at one or more inventory locations in the first echelon from one or more primary supply locations in the second echelon, the inventory replenishment plan being based at least in part on the inventory excesses or shortages and accounting for any inventory transfers identified in the inventory transshipment plan.

Predicting And Managing Requests For Computing Resources Or Other Resources

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US Patent:
20210312277, Oct 7, 2021
Filed:
Nov 3, 2020
Appl. No.:
17/088403
Inventors:
- Cary NC, US
Varunraj Valsaraj - Cary NC, US
Jinxin Yi - Cary NC, US
Daniel Keongson Woo - San Dimas CA, US
Assignee:
SAS Institute Inc. - Cary NC
International Classification:
G06N 3/08
Abstract:
Requests for computing resources and other resources can be predicted and managed. For example, a system can determine a baseline prediction indicating a number of requests for an object over a future time-period. The system can then execute a first model to generate a first set of values based on seasonality in the baseline prediction, a second model to generate a second set of values based on short-term trends in the baseline prediction, and a third model to generate a third set of values based on the baseline prediction. The system can select a most accurate model from among the three models and generate an output prediction by applying the set of values output by the most accurate model to the baseline prediction. Based on the output prediction, the system can cause an adjustment to be made to a provisioning process for the object.

Discrete Event Simulation With Sequential Decision Making

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US Patent:
20210082129, Mar 18, 2021
Filed:
Oct 1, 2020
Appl. No.:
17/060957
Inventors:
- Cary NC, US
Alexander Richard Phelps - Morrisville NC, US
Davood Hajinezhad - Cary NC, US
Bahar Biller - Chapel Hill NC, US
Jonathan Lee Walker - Raleigh NC, US
Hamza Mustafa Ghadyali - Apex NC, US
Kedar Shriram Prabhudesai - Morrisville NC, US
Xunlei Wu - Cary NC, US
Xingqi Du - Cary NC, US
Jorge Manuel Gomes da Silva - Durham NC, US
Varunraj Valsaraj - Cary NC, US
Jinxin Yi - Cary NC, US
International Classification:
G06T 7/292
G06T 7/00
G06T 7/246
G06F 11/20
G06T 11/60
Abstract:
A computing system receives historical data. The historical data comprises physical actions taken in an experiment in a physical environment. The experiment comprises user-defined stages. The historical data comprises a recorded outcome, according to user-defined performance indicator(s) related to the user-defined stages, for each physical action taken in the experiment. The system generates, by a discrete event simulator, a computing representation of a simulated environment of the physical environment. The simulated environment comprises processing stages. The system obtains simulation data. The simulation data comprises simulated actions taken by the discrete event simulator. The simulation data comprises a predicted outcome, according to user-defined performance indicator(s) related to the processing stages, for each simulated action taken by the discrete event simulator. The system validates accuracy of the discrete event simulator at predicting the recorded outcome in the experiment. The system trains a computing agent according to a sequential decision-making algorithm.

Real-Time Concealed Object Tracking

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US Patent:
20210035313, Feb 4, 2021
Filed:
Oct 1, 2020
Appl. No.:
17/060504
Inventors:
- Cary NC, US
Kedar Shriram Prabhudesai - Morrisville NC, US
Jonathan Lee Walker - Raleigh NC, US
Xunlei Wu - Cary NC, US
Xingqi Du - Cary NC, US
Bahar Biller - Chapel Hill NC, US
Mohammadreza Nazari - Champaign IL, US
Alexander Richard Phelps - Morrisville NC, US
Davood Hajinezhad - Cary NC, US
Varunraj Valsaraj - Cary NC, US
Jorge Manuel Gomes da Silva - Durham NC, US
Jinxin Yi - Cary NC, US
International Classification:
G06T 7/292
G06T 7/00
G06T 11/60
G06T 7/246
G06F 11/20
Abstract:
A computing system responsive to obtaining original image data, detects a set of data point(s), in the original image data, that indicates an object. The system determines, based on the set of data point(s), a set of pixels associated with the object in the original image data. The system generates an alternative visual identifier for the object that provides a unique identifier for the set of pixels absent in the original image data. The system generates, autonomously from intervention by any user of the computing system, pixel information to conceal feature(s) of the object. The system obtains modified image data comprising the alternative visual identifier. The modified image data further comprises the feature(s) of the object in the original image data visually concealed in the modified image data according to the pixel information. The system outputs an image representation of a trajectory of the object through the modified image data.

Real-Time Spatial And Group Monitoring And Optimization

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US Patent:
20210019528, Jan 21, 2021
Filed:
Oct 1, 2020
Appl. No.:
17/060260
Inventors:
- Cary NC, US
Kedar Shriram Prabhudesai - Morrisville NC, US
Mohammadreza Nazari - Champaign IL, US
Bahar Biller - Chapel Hill NC, US
Alexander Richard Phelps - Morrisville NC, US
Jonathan Lee Walker - Raleigh NC, US
Xunlei Wu - Cary NC, US
Xingqi Du - Cary NC, US
Davood Hajinezhad - Cary NC, US
Varunraj Valsaraj - Cary NC, US
Jorge Manuel Gomes da Silva - Durham NC, US
Jinxin Yi - Cary NC, US
International Classification:
G06K 9/00
G05B 13/04
G06K 9/32
Abstract:
A computing system obtains image data representing images. Each of the images is captured at different time points of a physical environment. The physical environment comprises a first object and a second object. The computing system executes a control system to augment the physical environment. The control system detects a group forming in the images. The control system tracks an aspect of a movement, of a given object, in the group. The control system simulates the physical environment and the movement, of the given object, in the group in a simulated environment. The control system evaluates simulated actions in the simulated environment for a predefined objective for the physical environment. The predefined objective is related to an interaction between objects in the group. The control system generates based on evaluated simulated actions and autonomously from involvement by any user of the control system, an indication to augment the physical environment.
Jinxin Z Yi from Cary, NC, age ~55 Get Report