About Me

I am a second-year master student majoring in Artificial Intelligence and Innovation at Carnegie Mellon University advised by Professor Michael Shamos and I will graduate in May 2023. I obtained my dual bachelor's degree in Computer Science at University of Michigan as well as Electrical and Computer Engineering at University of Michigan - Shanghai Jiao Tong University Joint Institute.

Now I am actively seeking a new graduate full-time position as software engineer, machine learning engineer as well as applied research scientist starting from 2023 summer. I have abundant industrial experience in natual language processing with large dataset, federated learning as well as Android mobile software development.

My research interests lie in Deep Learning, Natural Language Processing, Systems, System Security, Automotive Security as well as Privacy. I have worked on anti-DoS attack mechanism for Controller Area Network (CAN) with Professor Kang G. Shin's PhD Mert Dieter Pesé. I was also a member of the Network, Communication & Information Systems Group under the supervision of Ranjan Pal and Mingyan Liu .

Education

  • Carnegie Mellon University, School of Computer Science, Pittsburgh, PA M.S. in Artificial Intelligence and Innovation | GPA: 3.96/4.00 | Sept 2021 - May 2023 (Expected)

    Core Courses: Deep Learning (A+), Multimodal Machine Learning (A), AI Engineering (A) Coding & Algorithms Bootcamp (A), Machine Learning (A+), Web Application Development

  • University of Michigan, Ann Arbor, MI B.S.E. in Computer Science (Summa Cum Laude) | GPA: 3.83/4.00 | Sept 2019 - May 2021

    Core Courses: Machine Learning (A+), Advanced Operating Systems (A-), Multidisciplinary Design Program (A), Computer Vision (A+), Linear Algebra (A+), Computer Organization (A-)

  • University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai, China B.S.E. in Electrical and Computer Engineering (Outstanding Graduates) | GPA: 3.55/4.00 | Sept 2017 - Aug 2021

    Core Courses: Programming & Elem Data Structures (A+), Electronic Circuits (A), Hornors Calculus (A-), Intro to Computers & Programming (A-), Probabilistic Methods in Engineering (A-)

  • Technical University of Berlin, Berlin, German Winter Program: German (A) | Jan 2018 - Feb. 2018

  • Shanghai Kongjiang High School, Shanghai, China High School | Sept 2014 - Jun 2017

Publications

Selected Projects

[click titles or pics for more details]

Colorizing Black and White Picture

  • Computer vision course project mentored by Andrew Owens
  • Reimplement and optimize the colorizer devised by Richard Zhang [2] through adjusting the architecture of the neural network as well as designing a more effective loss function.

[Proposal] [Final Report]

Sufficiently Secure Controller Area Network

  • Instructed by Mert Dieter Pesé and Kang G. Shin
  • Developed a sufficiently secure alternative CAN with minimal overhead on resources and latency by leveraging protocol-specific properties of CAN.

[Webpage]

DoS Counter Attack by MAC Layer Bypass

  • Instructed by Mert Dieter Pesé and Kang G. Shin
  • Construct novel anti-spoofing defense system with a GPIO controller against compromised electronic control units (ECUs), which manages to avoid flooding the bus, and has lower network latency. (image adapted from [1])

[confidentiality required]

Holistic Privacy Framework for Connected Vehicles

  • Instructed by Mert Dieter Pesé and Kang G. Shin, sponsored by Ford Motor Company.
  • Design a privacy-preserving automotive data collection and sharing architecture that effectively anonymizes vehicle data to prevent third-party application from identifying drivers or their behaviors.

[confidentiality required]

Industrial Experience


Meta, Menlo Park, California
Applied Research Scientist Intern, Enterprise Products Dept. | May 2022 - Aug 2022

Project: Spend Classification


Intel, Shanghai, China
Deep Learning Intern, AI and Big Data Dept. | May 2022 - Aug 2022

Project: Spend Classification


NetEase Inc., Hangzhou, China
Android Engineer, Cloud Music Dept. | Jun 2020 - Aug 2020

Project: Revolutionary NetEase Cloud Music Update 8.0

Honors

Teaching & Service


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Misc


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