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Farley Faquan Wang
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Hey, I'm Faquan Wang

About Me

Get to know me!

I am Farley Wang (Faquan Wang), currently pursuing a master's degree in Electrical Engineering at Columbia University's School of Engineering.

Throughout my undergraduate studies, my fascination with algorithm design and artificial intelligence grew exponentially. Participating in many research projects and publishing three academic papers allowed me to refine my professionalism and analytical skills. Additionally, summer internships at both a company and a State Key Laboratory sharpened my communication abilities.

Currently, I am pursuing courses related to Algorithm Analysis, Artificial Intelligence, Cloud Computing, and more in my Master's program, and I am also working as a part-time researcher in the Department of Computer Science at Southwest Minzu University.

Looking ahead, I am actively looking for internships and full-time job in the fields of computer programming or artificial intelligence. Feel free to contact me here.

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Skilled Knowledge

Artificial Intelligence
Web Developer
Automatic control algorithms
Internet of Things

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My Skills

JAVA
MyBatis
Spring MVC
Spring boot
Python
TensorFlow
Panda
MicroPython
MySQL
Mango DB
Redis
Druid
MATLAB
HTML
CSS
LaTeX
In learning: RabbitMQ, Kafka, Spring Cloud, C++

Resume click to download my resume

Education

Columbia University & MS in Electrical Engineering

Sep 2023 - present

New York, USA

Core Course: Computer Networks, Cloud Computing, IOT – Intelli & Connected SYS, TPC: Net Virtual & Cloud Computing

SICHUAN UNIVERSITY & B.E in Automation

Sep 2019 - Jul 2023

Sichuan, China

GPA: 3.6/4.0

Won the second prize of Sichuan University Study Scholarship in 2021 and 2022 Bronze Prize of Innovation and Creativity Competition in 2022

Core Coursework: Fundamental Digital Electronic Technique (86), Computer Network and Communication Sensors & Testing Technology (91), Power Electronics (89), PLC Principle and Application (89), Digital Image Processing (81), Fundamentals of Electrical Machinery and Electrical Drive (91), Machine Learning (83), Process Control and Instrumentation (86), Principle of Automatic Control (90), Course Design of Electric Drive Automatic Control System (91), Motion Control Systems (90)

Professional Experience

Southwest Minzu University & Assistant Researcher

May 2023 - Present
   
Part-time

Chengdu, China

  • • For outstanding performance in college, I was invited to collaborate with Prof. Ruisen on some Research-based projects. One of them has been peer-reviewed and supported by a national grant.
  • • Using Python, MATLAB to process signal files and analyze experimental data; using TensorFlow to build network structures
  • • Solving the problem of neural network accuracy deterioration caused by different source data sets by optimizing the migration learning method and discussing algorithm optimization schemes with lab members

State Key Laboratory of Civil Aircraft Flight Simulation & Verification Engineer

May 2022 - Aug 2022
     
Intern

Shanghai, China

  • • Using C++ and MATLAB to build the state space modeling of the aircraft fuel metering flaps; using UE engine to simulate visualization interface for hydraulic flap flow in aircraft flight
  • • Using negative feedback regulation to write control algorithms based on MATLAB for the robot arm motion trajectory; further, the algorithm is implemented using C++ language and FPGA knowledge.

Xi'an Knt Scien-Tech Co., Ltd & Application Engineer

May 2020 - Aug 2020
     
Intern

Shaanxi, China

  • • Quantify the company's warehouse inbound and outbound processes using SQL database and write simple ERP calculation programs based on Python
  • • The graphical interface is implemented based on HTML; furthermore, using the Panda library in Python allows users to import data from Excel, solving the company's warehouse management costs

Projects Please contact me if you would like to have a conversation about any of the programs listed here. Here's just a list of some of the important items
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ESP8266-based Smartwatch

Sep 2023 - Nov 2023
     
Columbia University

New York, US

• Responsible for the customer information management part, based on SpringBoot wrote the customer information addition, deletion, modification and checking.
• Made the login system and designed the front-end request page based on ajax, which has been deployed on Amazon cloud.
• Two types of databases, MySQL as well as Mango DB, were used to store customer information and Mybatis was used to speed up the development process.

ESP8266-based Smartwatch

Powerful transfer learning method: Network Global Encoding

May 2023 - Present
     
Southwest Minzu University
     
Assistant researcher

ChengDu, China

Currently, in engineering, migration learning is a vital tool for the practical application of machine learning. The current migration learning methods fail to utilize efficiently the structural characteristics of the source network. We utilize word embedding in natural language processing to encode neural network structures. In migration learning, our goal is to maintain the Euclidean distance between the original and target networks for improved assistance.

My tasks involves:
First, explore the similarity of output features between the source and target networks, and then measure the similarity of parameter distribution features of the two networks. Second, incorporate the Euclidean distance of the embedding of the two networks into the reconstruction of the loss function. Third, construct the network embedding generation structure, and improve the Transformer. Finally, conduct experiments and write the paper.

ESP8266-based Smartwatch ESP8266-based Smartwatch

Microservices-based production management system

Sep 2023 - Nov 2023
     
Columbia University

New York, US

• Proposed a module that can improve the generalization ability of the convolutional neural network in the field of signal modulation recognition, and designed the ElsNet based on this module
• Proposed the channel optimization module, which can generate contribution weights for the channel of each block, thereby implementing both attention mechanism and pruning for the network
• ElsNet successfully beats the more popular neural networks, such as CLDNN and transformers, at present. Contributed to the research paper that has been published in Applied Intelligence as the first author

Enhancing the Generalization Ability of Deep Learning

Jul 2021 - Feb 2022
     
SiChuan University

ChengDu, China

• Responsible for the customer information management part, based on SpringBoot wrote the customer information addition, deletion, modification and checking.
• Made the login system and designed the front-end request page based on ajax, which has been deployed on Amazon cloud.
• Two types of databases, MySQL as well as Mango DB, were used to store customer information and Mybatis was used to speed up the development process.


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Contact me