cv

General Information

Full Name Jiayi Chen
Email jc4td [at] virginia [dot] edu
Languages English, Chinese

Education

  • 2018 - present
    Ph.D. in Computer Science
    University of Virginia
  • 2015 - 2018
    M.S. in Control Science and Engineering
    Institute of Artificial Intellignece and Robotics @ Xi'an Jiaotong University
  • 2011 - 2015
    B.E. in Automation Engineering
    Xi'an Jiaotong University
  • 2009 - 2011
    Special Class for the Gifted Young of China (少年班)
    Xi'an Jiaotong University
    • A special program in China that selects students (below 15) national wide who have showed talents for learning science and technology in Middle schools.

Work Experience

  • Jun - Sep 2023
    Software Engineer Intern (PhD)
    Google LLC
    • Teams: YouTube WatchNext and DeepMind Brain STAR
    • Mentors: Shuo Yang (YouTube); Zhe Zhao (DeepMind); Hussein Hazimeh (Google Research)
    • Project: Topology-agnostic Knowledge Inheritance for Improved Distillation
  • Jun - Sep 2022
    Software Engineer Intern (PhD)
    Google LLC
    • Teams: Cloud DocAI and Google Brain
    • Mentors: Hanjun Dai and Bo Dai (DeepMind); Wei Wei (Cloud DocAI)
    • Project: Efficient Task-personalized Multimodal Information Extraction
  • 2018 - present
    Research Assistant
    University of Virginia
  • 2016 - 2018
    Research Assistant
    Xi'an Jiaotong University
    • 3D Neural Stylistic Rendering
    • Vision-guided Robotics
  • 2015 - 2016
    Startup
    MachInsight
    • Computer Vision-related Projects
    • Autonomous Drone (a type of aerial robot)
    • Communication & Interaction between Drone and Ground Robots
    • AR/VR driven by Vision of Robots (e.g. Drone)

Research Interests

  • Multimodal Machine Learning
  • Graph Mining
  • Few-shot Learning, Meta-Learning
  • Lifelong Learning, Federated Learning, Multitask Learning
  • Model-efficient Transfer Learning

Technical Skills

  • Programming Languages
    • Python (7+ years), C++, SQL, Java, Javascript, Matlab
  • Tools & Platforms
    • PyTorch (5+ years), Tensorflow, Jax (2+ years), Flax, Haiku, Gym, Robotic Operating System, etc.
  • Deep Neural Networks
    • Large Language Models (e.g. BERT/ViT/T5/GPT/CLIP/LayoutLM), Graph Neural Networks, Seq2Seq, CNN/LSTM, HyperNetworks, Deep Generative Models (e.g., VAE/GAN/Diffusion), etc.

Publications →

Projects →

Honors and Awards

  • 2020-2023
    • ACM SIGKDD Student Award
    • Graduate Fellowships
  • 2018
    • Outstanding Master’s Thesis Award
  • 2017
    • Won the 2nd prize in “3rd Winner Cup of National Graduate Contest on Smart-City Technology and Creative Design”
  • 2016
  • 2015
    • Won the 1st prize in “National Contest on Traffic-Scene Image Understanding”
  • 2011
    • Skipped Gaokao (Chinese Nationwide Unified Examination for Admissions to General Universities and Colleges)

Services

  • Teaching Assistant
    • Program and Data Representation (Fall 2019, Spring 2020); Digital Image Processing (Fall 2015)
  • Peer Review
    • Reviewer/external reviewer for NeurIPS, ICLR, AAAI, IJCAI, CIKM, WSDM, SDM, BIBM, etc.

Courses

  • Machine Learning and Computer Vision (A+) @XJTU
  • Natural Language Processing (A+) @UVa
  • Reinforcement Learning (A+) @UVa
  • Database Systems (A) @UVa
  • Graph Mining (A+) @UVa
  • Statistical Learning and Graphical Models (A) @XJTU
  • Computer Graphics (A+) @XJTU
  • Software Artifacts (A) @UVa
  • Autonomous Mobile Robot (A+) @UVa
  • Data Structures and Algorithms (A+) @XJTU
  • Computer Network (A) @XJTU