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, so...it's absolutely fine to just call me Martin alternatively.

I am a Senior student at the University of Michigan in Computer Science , with a dual degree in Electrical and Computer Engineering at Shanghai Jiao Tong University.

I have a passionate interest in machine learning, especially machine learning on graph-structured data. At the moment, I am intrigued by the studies of active learning, interpretability, and robustness on Graph Neural Network. I am also actively exploring how state-of-the-art machine learning breakthroughs can play a role in enabled interdisciplines.

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

News

Experience

Education

Timeline

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, Yunan

September

June

    🎓 Graduated from high school :D
  • Got 685/750 in The National College Entrance Examination.

2014

September

2011

September

Selected Projects

Research

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.

Active learning on Graph Neural Network via Hierarchical Graph Partitioning

[code: upon request]

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

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.

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.

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.

Instagram MINI

[description][code: upon request]

  • Project of EECS485: Web Systems. Instructed by Professor Andrew DeOrio
  • A cloned client-side dynamic Instagram.

Glove Band

[report]

  • Final Project of VG100, Intro to Engineering. Instructed by Professor Yanfeng Shen.
  • A pair of multi-instrumental MIDI-controlling gloves.

Misc

Mental Support

Get In Touch

You are welcome to drop me a message :)

  • Phone

    734-545-9094
  • marstin0607
  • 1137610417
  • Address

    1875 Lake Lila Ln.
    Ann Arbor, MI 48105
    United States