Jie Chen - Chappaqua NY, US Timothy John Breault - Huntersville NC, US Fernando Cela Diaz - New York NY, US William Anthony Nobili - Charlotte NC, US Sandi Setiawan - Charlottle NC, US Harsh Singhal - Charlotte NC, US Agus Sudjianto - Charlotte NC, US Andrea Renee Turner - Rock Hill SC, US Bradford Timothy Winkelman - Wilmington DE, US
Assignee:
Bank of America Corporation - Charlotte NC
International Classification:
G06Q 40/00
US Classification:
705 38
Abstract:
Embodiments of the present invention relate to methods and apparatuses for determining leading indicators and/or for modeling one or more time series. For example, in some embodiments, a method is provided that includes: (a) receiving first data indicating the value of a total income amount for a plurality of consumers over a period of time; (b) receiving second data indicating the value of a total debt amount for a plurality of consumers over a period of time; (c) selecting a consumer leverage time series that compares the total income amount to the total debt amount over a period of time; (d) modeling the consumer leverage time series based at least partially on the first and second data; (e) determining, using a processor, the value of the cycle component for a particular time; and (f) outputting an indication of the value of the cycle component for the particular time.
C-17 Bicyclic Amines Of Triterpenoids With Hiv Maturation Inhibitory Activity
Zheng Liu - Beacon Falls CT, US Jacob Swidorski - Southington CT, US Jie Chen - Madison CT, US Yan Chen - Wallingford CT, US Nicholas A. Meanwell - East Hampton CT, US Alicia Regueiro-Ren - Middletown CT, US
Compounds having drug and bio-affecting properties, their pharmaceutical compositions and methods of use are set forth. In particular, C-17 bicyclic amines of triterpenoids that possess unique antiviral activity are provided as HIV maturation inhibitors, as represented by compounds of Formulas I, II and III:These compounds are useful for the treatment of HIV and AIDS.
Densifying A Mobility Network By Siting Antennas With Demand Zone Planning, In A Communications Network
The technologies described herein are generally directed to facilitating operation of a system for implementing fifth generation (5G) or other next generation networks. In accordance with one or more embodiments, a method described herein can include identifying, by a device comprising a processor, predicted resource usage of a first antenna covering a geographic zone. Further, the method can include selecting, by the device, a group of geographic siting locations within the geographic zone for potentially siting ones of a group of second antennas. In addition, selecting, by the device, a spatial arrangement in relation to the first antenna, of a subset of the group of geographic siting locations can occur, with a selected spatial arrangement including an arrangement to maintain the predicted resource usage in the condition.
Action Recognition With High-Order Interaction Through Spatial-Temporal Object Tracking
- Princeton NJ, US Asim KADAV - Jersey City NJ, US Jie CHEN - Bellevue WA, US
Assignee:
NEC LABORATORIES AMERICA, INC - Princeton NJ
International Classification:
G06K 9/00
Abstract:
Aspects of the present disclosure describe systems, methods, and structures that provide action recognition with high-order interaction with spatio-temporal object tracking. Image and object features are organized into into tracks, which advantageously facilitates many possible learnable embeddings and intra/inter-track interaction(s). Operationally, our systems, method, and structures according to the present disclosure employ an efficient high-order interaction model to learn embeddings and intra/inter object track interaction across the space and time for AR. Each frame is detected by an object detector to locate visual objects. Those objects are linked through time to form object tracks. The object tracks are then organized and combined with the embeddings as the input to our model. The model is trained to generate representative embeddings and discriminative video features through high-order interaction which is formulated as an efficient matrix operation without iterative processing delay.
Time Distance Of Arrival Based Mobile Device Location Detection With Disturbance Scrutiny
- Atlanta GA, US Jie Chen - Watchung NJ, US Sam Houston Parker - Cranbury NJ, US Huahui Wang - Bridgewater NJ, US Wenjie Zhao - Princeton NJ, US
International Classification:
H04W 64/00 G01S 5/10
Abstract:
Techniques for locating a mobile device using a time distance of arrival (TDOA) method with disturbance scrutiny are provided. In an aspect, for respective combinations of three base station devices of a number of base station devices greater than or equal to three, intersections in hyperbolic curves, generated using a closed form function with input values based on differences of distances from the device to pairs of base station devices of the respective combinations of three base station devices, are determined. The intersection points are then tested for robustness against measurement errors associated with the input values and a subset of the intersection points that are associated with a degree of resistance to the measurement errors are selected to estimate a location of the device.
Time Distance Of Arrival Based Mobile Device Location Detection With Disturbance Scrutiny
- Atlanta GA, US Jie Chen - Watchung NJ, US Sam Houston Parker - Cranbury NJ, US Huahui Wang - Bridgewater NJ, US Wenjie Zhao - Princeton NJ, US
International Classification:
H04W 64/00 G01S 5/10
Abstract:
Techniques for locating a mobile device using a time distance of arrival (TDOA) method with disturbance scrutiny are provided. In an aspect, for respective combinations of three base station devices of a number of base station devices greater than or equal to three, intersections in hyperbolic curves, generated using a closed form function with input values based on differences of distances from the device to pairs of base station devices of the respective combinations of three base station devices, are determined. The intersection points are then tested for robustness against measurement errors associated with the input values and a subset of the intersection points that are associated with a degree of resistance to the measurement errors are selected to estimate a location of the device.
Compositions Having C-17 And C-3 Modified Triterpenoids With Hiv Maturation Inhibitory Activity
- Princeton NJ, US Zheng Liu - Beacon Falls CT, US Jacob Swidorski - Southington CT, US Ny Sin - East Hampton CT, US Brian Lee Venables - Durham CT, US Yan Chen - Guilford CT, US Jie Chen - Madison CT, US Nicholas A. Meanwell - East Hampton CT, US
International Classification:
A61K 31/565 A61K 31/58 A61K 31/704 A61K 45/06
Abstract:
Compounds having drug and bio-affecting properties, their pharmaceutical compositions and methods of use are set forth. In particular, C-17 and C-3 modified triterpenoids that possess unique antiviral activity are provided as HIV maturation inhibitors, as represented by compounds of Formulas I, II and III:These compounds are useful for the treatment of HIV and AIDS.
Time Distance Of Arrival Based Mobile Device Location Detection With Disturbance Scrutiny
- Atlanta GA, US Jie Chen - Watchung NJ, US Sam Houston Parker - Cranbury NJ, US Huahui Wang - Bridgewater NJ, US Wenjie Zhao - Princeton NJ, US
Assignee:
AT&T Intellectual Property I, L.P. - Atlanta GA
International Classification:
H04W 64/00
US Classification:
4554561
Abstract:
Techniques for locating a mobile device using a time distance of arrival (TDOA) method with disturbance scrutiny are provided. In an aspect, for respective combinations of three base station devices of a number of base station devices greater than or equal to three, intersections in hyperbolic curves, generated using a closed form function with input values based on differences of distances from the device to pairs of base station devices of the respective combinations of three base station devices, are determined. The intersection points are then tested for robustness against measurement errors associated with the input values and a subset of the intersection points that are associated with a degree of resistance to the measurement errors are selected to estimate a location of the device.
2009 to 2000 Associate, Business Law DepartmentAllen & Overy LLP New York, NY 2006 to 2009 Corporate AssociateWorld Wildlife Fund Washington, DC 2002 to 2003 Senior Financial Analyst
Education:
University of Michigan Law School Ann Arbor, MI 2005 J.D.Concord College Athens, WV 1999 B.S. in Finance (Sum Cum Laude)
Center for Computational Biology and Bioinformatics, Columbia University/HHMI New York, NY 2010 to Jul 2012 Research AssociateInstitute for Physical Science and Technology, University of Maryland, College Park College Park, MD 2004 to 2010 Graduate Research AssistantPhysics Department, Nanjing University, China
2002 to 2004 Research AssistantPhysics Department, Nanjing University, China
2002 to 2003 Teaching Assistant
Education:
University of Maryland College Park, MD 2010 Ph.D. in Chemical PhysicsNanjing University 2002 B.S. in Physics
Skills:
Solid background in physics and math. Ten years training in chemical physics and biological physics. Proven record in theoretical and computational modeling of biological systems. Excellent skills in Brownian dynamics simulations, Monte-Carlo simulations, homology modeling, and bioinformatics. Wide range of knowledge in programming: C/C++, Fortran, Perl, and R.
Sep 2011 to May 2012 Senior Business AnalystErnst & Young LLP New York, NY Sep 2004 to May 2006 Internal Auditor, Business Risk Service
Education:
Carnegie Mellon University Pittsburgh, PA 2011 ABD (All But Dissertation) in Accounting PhD programCarnegie Mellon University Pittsburgh, PA 2008 MS in Industrial AdministrationMichigan State University Lansing, MI 2004 Master in Accounting and EconomicsFudan University 2000 BA in Finance
Skills:
Excel, SAS, STATA, Bloomberg, TEJ, CFA Level I
Isbn (Books And Publications)
Ideology in U. S. Foreign Policy: Case Studies in U. S.-China Policy
Zte (USA) Inc Mfg Metal Cutting Type Machine Tools Metalworking Machinery · Whol Communication Equipment Ret Telephone Equipment and Systems · Whol Electronic Parts/Equipment Ret Misc Merchandise · Wholesale Electronic Parts/Equipment Ret Misc Merchandise
33 Wood Ave S, Iselin, NJ 08830 9726718885
Jie Chen Principal
JOY FOOTWEAR INTERNATIONAL INC Whol Footwear
PO Box 520185, Flushing, NY 11352 218 Front St, Brooklyn, NY 11201 13403 35 Ave, Flushing, NY 11354 7188589218
Jie Chen Principal
GLOBAL TAX & BUSINESS CONSULTING, LLC Business Consulting Services
170 Forsyth St #5C, New York, NY 10002
Jie Yi Chen Chairman of the Board, Chb
SAMMI BEAUTY SKIN CARE, INC Beauty Shop
115 Mott St, New York, NY 10013 2122199528
Jie Chen
Z-TEX, INC
350 5 Ave STE 6105, New York, NY 10118
Jie Chen
HENG XIANG CORPORATION
96-03 50 Ave, Corona, NY 11368 96 - 03 50 Ave, Corona, NY 11368
Jie Chen Manager
The Wine Cellarage Whol Groceries
890 Garrison Ave, Bronx, NY 10474 7189915700, 7188385071
University Of Virginia Transplant Center 1300 Jefferson Park Ave FL 4, Charlottesville, VA 22903 4349248604 (phone), 4349240017 (fax)
UVA Medical Center Inpatient Transplant Surgery & Urology 1215 Lee St 5 W, Charlottesville, VA 22908 4349242338 (phone), 4349242355 (fax)
Languages:
English
Description:
Ms. Chen works in Charlottesville, VA and 1 other location and specializes in Transplant Surgery. Ms. Chen is affiliated with University Of Virginia Medical Center.
atusik, a professor of electrical engineering and computer science at MIT who leads the Computational Design and Fabrication Group within the Computer Science and Artificial Intelligence Laboratory (CSAIL); Meng Jiang, associate professor at the University of Notre Dame; and senior author Jie Chen,