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 (pronounced as Tsz-Kiu), so...it's absolutely fine to just call me Martin alternatively.

I am an incoming Ph.D. student at the University of Michigan working with Joyce Chai in the Situated Language and Embodied Dialogue (SLED) Lab. I will obtain my Dual Bachelor's Degree in Computer Science at the University of Michigan and Electrical and Computer Engineering at Shanghai Jiao Tong University.

I am broadly interested in Natural Language Processing (Grounded Language Processing, Human-Robot Communication) and Machine Learning (Graph Neural Networks, Semi-Supervised Learning, Knowledge Graphs).

Proficient in:
Python C/C++ C# JavaScript Java
Familiar with:
jQuery Hadoop R

News

Experience

Education

Timeline

2021

May

    🎓 Graduated from University of Michigan :D

January - Present

    📖 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 - Present

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

2019

September - Present

    🔎 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
  • Got 685/750 in The National College Entrance Examination.

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 ST‐GCN 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.