CV

Master

Georgia Institute of Technology

Human-Computer Interaction

Bachelor

University of Michigan

Computer Science

Bachelor

Shanghai Jiao Tong University

Electrical and Computer Science

Graduate Teaching Assistant

Georgia Institute of Technology

Introduction to Information Visualization by Prof. Yalong Yang

Graduate Teaching Assistant

Georgia Institute of Technology

Human-AI Interaction by Prof. Christopher J. MacLellan

Undergraduate Research Assistant

University of Michigan

Advised by Dr. Anhong Guo on interactions on mobile devices

CompositingVis: Exploring Interactions for Creating Composite Visualizations in Immersive Environments

IEEE Visualization and Visual Analytics

Qian Zhu, Tao Lu, Shunan Guo, Xiaojuan Ma, Yalong Yang

InteractOut: Leveraging Interaction Proxies as Input Manipulation Strategies for Reducing Smartphone Overuse

Proceedings of the ACM Conference on Human Factors in Computing Systems

Tao Lu, Hongxiao Zheng, Tianying Zhang, Xuhai Xu, Anhong Guo

Civic Dark Patterns in Public Record Portals

We analyzed and identified dark patterns in some important daily functions on civic websites among counties in Atlanta municipal area.

• UX Audit
• Dark Pattern Analysis

Teams for Life

We developed a community feature on Microsoft Teams to attract and empower vommunity owners to build and grow communities on Teams for daily and recreational use.

• Mobile
• UI

Mixplorer: A Mixed-Reality Object Placement Data Collection Tool

We created a mixed-reality object placement data collection tool, instantiating human-in-the-loop human-AI collaboration where AI provides suggestions and users modify the suggestions for model improvement.

• Mixed Reality
• Machine Learning

Why Antiwork: A RoBERTa-Based System forWork-Related Stress Identification and Leading Factor Analysis

Leveraging a subreddit as a data source, we create and train a model to detect antiwork sentiments, revealing that lack of authority, frustrating recruitment experiences, and unfair compensation are major contributors to employee dissatisfaction and antiwork sentiments. (My capstone project at University of Michigan)

• Scoial Computing
• Natural Langauge Processing

Image Super Resolution

We build an Efficient Cascading Dense Network (ECDN) based on a Cascading Residual Network (CARN) as a final project of EECS 442: Computer Vision

• Super Resolution
• Neuro Network

Summa Cum Laude

University of Michigan

Dean's List

University of Michigan

Tang Junyuan Scholarship Nomination Award

Shanghai Jiao Tong University

Undergraduate Execellent Scholarship

Shanghai Jiao Tong University

The John Wu & Jane Sun Sunshine Scholarship

Shanghai Jiao Tong University

Chinese National Scholarship

Minstry of Education of the People's Repulic of China