About Me

Here is a virtual but warm greeting from Ziqiao, as you just came across his page! Well, many of my non-Chinese friends found it hard to pronounce my Chinese name (马子乔, pronounced as Tsz-Chaw in Mandarin or Tsz-Kiu in Standard Romanization), so...it's absolutely fine to just call me Martin alternatively.

I am a first-year Ph.D. student at the University of Michigan working with Professor Joyce Chai in the Situated Language and Embodied Dialogue (SLED) Lab. My current research focuses on Natural Language Processing (Grounded Language Processing, Embodied Agents, Causal Inference) and Machine Learning (Graph Neural Networks, Meta Learning, Semi-supervised Learning).

Prior than that, I obtained my Dual Bachelor's Degree in Computer Science at the University of Michigan and Electrical and Computer Engineering at Shanghai Jiao Tong University.

Updates

News

Schedule

If you would like to have a conversation with me, please visit my scheduling page and request an event.

Experience

Education

Timeline

2021

September

August

    🎓 Graduated from Shanghai Jiao Tong University :D

May

    🎓 Graduated from University of Michigan (Summa Cum Laude) :D

January - May

    📖 Instructional Aide for Artificial Intelligence
    (EECS492 @ University of Michigan)
  • With Professor Joyce Chai

2020

August - Present

May - August

    📖 Teaching Assistant for Artificial Intelligence
    (VE492 @ Shanghai Jiao Tong University)
  • With Professor Paul Weng

May - August

    📖 Teaching Assistant for Programming and Data Structure
    (VE280 @ Shanghai Jiao Tong University)
  • With Professor Paul Weng

January 2020 - August 2021

    🔎 Research Assistant at Liu Lab
    (Medical School @ University of Michigan)
  • Instructed by Professor Jie Liu

2019

September 2019 - May 2021

    🔎 Research Assistant at Foreseer
    (School of Information @ University of Michigan)
  • With Jiaqi Ma, instructed by Professor Qiaozhu Mei

September

May - August

    📖 Teaching Assistant for Physics Lab I
    (VP141 @ Shanghai Jiao Tong University)
  • With Professor Mateusz Krzyzosiak

February - December

    🔎 Research Assistant at Acemap
    (School of Electronic Information @ Shanghai Jiao Tong University)
  • With Junjie Ou, instructed by Professor Xinbing Wang

February - May

    📖 Teaching Assistant for Academic Writing II
    (VY200 @ Shanghai Jiao Tong University)
  • With Professor Ryan Thorpe

January - February

    🏫 Winter Program @ Technische Universität Berlin

2018

September - December

    📖 Teaching Assistant for Academic Writing I
    (VY100 @ Shanghai Jiao Tong University)
  • With Professor Ryan Thorpe

September

    🏆 Awarded China National Scholarship, issued by Ministry of Education of China

2017

December - January

    📖 Volunteer Teaching Junior Mathematics @ San He Junior High School, Luxi, Yunnan

September

June

    🎓 Graduated from high school :D
  • 685/750, The National College Entrance Examination (Gaokao).

2014

September

2011

September

Selected Projects

Research

Active learning on Graph Neural Network

[code: upon request]

  • Instructed by Professor Qiaozhu Mei.
  • A practical active learning query strategy on Graph Neural Networks.

GNN Prediction Interpretation: Spatial Cell Patterns of T2D Islets

[report: upon request][code]

  • Instructed by Professor Jie Liu and Marcela Brissova.
  • Redesign the GNN Explainer to perform label-wise explanation, validate the model on T2D islet samples and extract predictive spatial patterns.

Exception Handling in Autonomous Vehicles via Human Language Communication

[slides]

  • Instructed by Professor Joyce Chai.
  • Develop a smart interface that takes human interaction by language instructions and handle the exceptions in autonomous vehicles.

Correlational Information Utilization in Spatial Temporal GCN on Traffic Data

[code: synthetic][code: validation]

  • Instructed by Professor Qiaozhu Mei.
  • Confirm the incapability of GNNs to capture correlational information by synthetic simulation.
  • Validate lower training loss of STGCN on traffic data with gaussian copula loss.

Courses

Towards More Knowledgeable Reasoning: Experiments on Natural Language Inference

[report][code]

  • Final project of EECS 595: Natural Language Processing. Instructed by Professor Joyce Chai.
  • Exploited external knowledge to perform NLI tasks including Question Answering, Conversation Entailment and Plausible Inference.
  • Experimented on different finetuning strategies and utilized knowledge graphs for GCN-based reasoning.

Scalable and Diverse Neural Style Transfer with Generative Adversarial Networks

[report][slides][code]

  • Final project of EECS 442: Computer Vision. Instructed by Professor Andrew Owens.
  • Reproduced CycleGAN, StarGAN v1 and v2 for unpaired image translation.
  • Evaluated them quantitatively on neural style transfer tasks with FID score.

Misc

Mental Support

Friends

Get In Touch

You are welcome to drop me a message :)

  • Phone

    734-545-9094
  • marstin0607
  • 1137610417
  • Address

    Bob and Betty Beyster Building 4909,
    2260 Hayward Street,
    Ann Arbor, MI 48109.