Hamid Jafarkhani - Irvine CA, US Feng Li - Irvine CA, US
Assignee:
The Regents of the University of California - Oakland CA
International Classification:
H04B 7/02
US Classification:
375267
Abstract:
A method to achieve full diversity without sacrificing bandwidth and with a linear complexity in a wireless system includes the steps of orthogonally transmitting a plurality of signals utilizing multiple antennas using a corresponding plurality of precoders in a plurality of time slots, which precoders are designed using the channel information to cancel interference among the plurality of signals while achieving a maximum possible diversity of NM with low complexity for at least two users each having N transmit antennas and one receiver with M receive antennas, separating the signals in the receiver using the orthogonality of the transmitted signals, and decoding the signals independently to provide full diversity to the at least two users.
Machine Learning Model Fairness And Explainability
- Burbank CA, US Michael Egan Van Veen - Burbank CA, US Feng Li - Burbank CA, US Marc Frederick Eberstein - Burbank CA, US Jose Efrain Valentin - Burbank CA, US Jerome Louis Budzik - Burbank CA, US John Wickens Lamb Merrill - Burbank CA, US Geoff Ward - La Canada Flintridge CA, US Lingzhi Du - El Monte CA, US Drew Gifford - Pittsburgh PA, US
International Classification:
G06Q 40/02
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for machine learning model fairness and explainability. In some implementations, a method includes obtaining data relating to a plurality of potential borrowers; providing the data to the trained machine learning model; obtaining, by the trained machine learning model’s processing of the provided data, the one or more outputs of the trained machine learning model; and automatically generating a report that explains the one or more outputs of the trained machine learning model with respect to one or more fairness metrics and one or more accuracy metrics; and providing the automatically generated report for display on a user device.
- Burbank CA, US Michael Egan Van Veen - Burbank CA, US Feng Li - Burbank CA, US Mark Frederick Eberstein - Burbank CA, US Jose Efrain Valentin - Burbank CA, US Jerome Louis Budzik - Altadena CA, US John Wickens Lamb Merrill - Redmond WA, US
International Classification:
G06Q 40/02 G06N 7/00 G06N 3/04 G06K 9/62
Abstract:
Systems and methods for training models to improve fairness.
- Los Angeles CA, US Michael Egan Van Veen - Los Angeles CA, US Feng Li - Los Angeles CA, US Marc Frederick Eberstein - Los Angeles CA, US Jose Efrain Valentin - Los Angeles CA, US Jerome Louis Budzik - Altadena CA, US Douglas C. Merrill - Los Angeles CA, US John Wickens Lamb Merrill - Redmond WA, US
International Classification:
G06Q 40/02 G06K 9/62 G06N 3/04 G06N 7/00
Abstract:
Systems and methods for training models to improve fairness.
Bone Conduction Speaker And Smart Wearable Device As Well As Resonance Processing Method
The present application relates to a bone conduction speaker and a smart wearable device as well as resonance processing method. The bone conduction speaker comprises a speaker body for generating vibration, a vibration sound transmitting layer in contact with a port of the speaker body for propagating vibration generated by the speaker body, and a vibration damping layer that wraps a region other than a portion of the speaker body that is in contact with the vibration sound transmitting layer. The smart wearable device is provided with the bone conduction speaker and is in direct contact with the user's body; the resonance processing method comprises filtering an audio signal within the preset frequency range or adjusting a gain of an audio signal within the preset frequency range.
Jan 2012 to Present Graduate StudentCisco System San Jose, CA Jul 2012 to Aug 2012 Software Development Intern in Network Operating System Technology GroupCitigroup Inc New York, NY May 2012 to Jun 2012 Quantitative Risk Management Intern in Global Consumer Risk GroupCalifornia Institute for Telecommunications and Information Technology
Dec 2010 to Jul 2011 Quantitative ResearcherCenter for Pervasive Communications and Computing
Jun 2008 to Nov 2010 Quantitative Researcher
Education:
CORNELL UNIVERSITY Ithaca, NY 2011 to 2012 M.Eng in Financial EngineeringTHE UNIVERSITY OF CALIFORNIA IRVINE Irvine, CA Oct 2007 to May 2011 Ph.D in Electrical and Computer EngineeringCITY UNIVERSITY OF HONG KONG Hong Kong, Hong Kong Island 2005 to 2007 M.Phil in Electronic EngineeringHARBIN INSTITUTE OF TECHNOLOGY Sep 2001 to Jul 2005 B.Eng in Telecommunications
Skills:
CFA II candidate........................ Course work: Fixed Income Securities and Interest Rate Options U.S. Bonds Market Derivatives Securities Stochastic Calculus Monte Carlo Simulation Linear Optimizations Financial Optimization Modeling Statistics and Data analysis for Financial Engineering Time Series Analysis Investment and Portfolio Management Monte Carlo Methods for Financial Engineering Computational Methods in Finance Quantitative Risk Management High-Frequency Trading........ Computer Skills: C, C++, Core Java, J2EE, C#, R, SAS, Matlab, Python, Perl, Linux/Unix, Windows, SQL, TCP/IP, Socket Programming, STL ................................. Math/Stats Skills: Stochastic Calculus, Partial Differential Equation, Statistics, Linear Regression, Time Series, Probability, Linear Algebra
Medical School Tufts University School of Medicine Graduated: 2002
Description:
Dr. Li graduated from the Tufts University School of Medicine in 2002. He works in Tyler, TX and specializes in Gastroenterology. Dr. Li is affiliated with Mother Francis Hospital.
Baidu - Sofeware Development Engineer (2011) Alstom China Technology Center - Sofeware Development Engineer (2009-2011) EMC R&D Center - Sofeware Development Engineer Intern (2008-2008)
Education:
Fudan University - Master, Computer Science, National University of Singapore - Research Assistant, Sichuan University - Computer Science
Tagline:
To be or not to be
Feng Li
Lived:
Los Angeles, Ca Bethesda, MD
Work:
Louis Vuitton - Leather Goods (2013)
Feng Li
Work:
Nanyang Technological University - PhD Student
Education:
Nanyang Technological University - Computer Engineering, Shandong University - Computer Science and Technology, Shandong Normal University - Computer Science and Technology