Qinshi Carol Zhang- CV

Education

University of California, San Diego (UCSD)

Master of Science in Computer Science and Engineering

Sept. 2024 — June. 2026(Expected)

University of California, Irvine (UCI)

GSTAR in Computer Science, GPA: 3.82/4.00

Sept. 2023 — June. 2024

China Jiliang University (CJLU) & Auckland University of Technology (AUT)

Bachelor of Computer and Information Sciences & B.Eng in Computer Science and Technology, GPA: 7.13/9.00

Sept. 2019 — June. 2023

Thesis: Gstreamer-based Video Analysis Framework Design

Advisor: Dr. Haijun Tao & Dr.Lin Xiang

Publications

Conference

Eternagram: Probing Player Attitudes in Alternate Climate Scenarios Through a ChatGPT-Driven Text Adventure

Suifang Zhou*, Latisha Besariani Hendra*, Qinshi Zhang*, Jussi Holopainen, Ray LC†

CHI Conference on Human Factors in Computing Systems 2024

PDF Code ★ BibTeX


    @inproceedings{zhou2024eternagram,
        title={Eternagram: Probing Player Attitudes Towards Climate Change Using a ChatGPT-driven Text-based Adventure},
        author={Zhou, Suifang and Hendra, Latisha Besariani and Zhang, Qinshi and Holopainen, Jussi and LC, RAY},
        booktitle={Proceedings of the CHI Conference on Human Factors in Computing Systems},
        pages={1--23},
        year={2024}
        }

Can AI Prompt Humans? Multimodal Agents Prompt Players' Game Actions and Show Consequences to Raise Sustainability Awareness

Qinshi Zhang, Ruoyu Wen, Zijian Ding, Latisha Besariani Hendra, Ray LC†

Preprint

Demo PDF Code ★ BibTeX

@article{zhang2024can,
                title={Can AI Prompt Humans? Multimodal Agents Prompt Players' Game Actions and Show Consequences to Raise Sustainability Awareness},
                author={Zhang, Qinshi and Wen, Ruoyu and Ding, Zijian and Hendra, Latisha Besariani and LC, Ray},
                journal={arXiv preprint arXiv:2409.08486},
                year={2024}
            }

Demo

Frontend Diffusion: Exploring Intent-Based User Interfaces through Abstract-to-Detailed Task Transitions

Qinshi Zhang, Latisha Besariani Hendra, Mohan Chi, Zijian Ding†

In preparation for CHI LBW

PDF Video Code ★ BibTeX

@article{zhang2024frontend,
                title={Frontend Diffusion: Exploring Intent-Based User Interfaces through Abstract-to-Detailed Task Transitions},
                author={Zhang, Qinshi and Besariani Hendra, Latisha and Chi, Mohan and Ding, Zijian},
                journal={arXiv e-prints},
                pages={arXiv--2408},
                year={2024}
            }

Industry Experience

Neoboard Riverside, CA

Front-end Develop Intern

April. 2024 — June. 2024

Using React, Redux, and React Router to build a user-friendly interface for Neoboard, a classroom workflow automation system

Functor Z Hangzhou, CN

Software Develop Intern

June. 2021 — Sept. 2021

Developed a basketball mini-app game using Uni-app and MongoDB on a cloud-based platform.

Academic Research Experience

University of California, San Diego San Diego, CA

Design for San Diego (D4SD) 2024 Internship Program,, UCSD Design Lab

June. 2024 — Present

Mentor: Prof.Steven Dow

Collaborated with the visual design, research, content teams, and other teams to address housing issues in San Diego.

Served as the lead developer for the D4SD website, utilizing WordPress for design and func- tionality.

University of California, Irvine Irvine, CA

Summer Research Intern, School of Information & Computer Science

June. 2024 — Sept. 2024

Mentor: Prof. Stacy Branham

Led team meeting coordination and slide presentation preparations and engaged in deep analysis and presentation of ADA Title II

EExplored and researched accessibility resources on the UCI ICS website, preparing detailed presentations on findings

City University of Hongkong Hongkong, CN

HCIX Summer Research Program, School of Creative Media

June. 2023 — Sept.2023

Mentor: Dr. Ray LC

Proposed the idea of a ChatGPT-based interactive game to promote climate change actions

Developed a world-building game utilizing GPT-4 and other NLP techniques(as web devel- oper)

Responsible for user studies, including recruiting, interviewing, data analysis, and writing, resulting a full paper to CHI’24

China Jiliang UniversityHangzhou, CN

Undergraduate Research, Department of Information Technology

Sept. 2022 — May. 2023

Mentor: Dr. Haijun Tao & Dr.Lin Xiang

Developed a real-time video analysis framework using Gstreamer and YOLOv5 for object and person detection, achieving a maximum frame rate of 121 frames per second for RTSP video streams

Constructed a dataset by collecting real-time video monitoring and detection data.

Auckland University of TechnologyAuckland, NZ

Undergraduate Research, School of Engineering, Computer and Mathematical Sciences

Sept. 2022 — Dec. 2022

Mentor: Dr. Mahsa Mohaghegh

Proposed the idea of using Raspberry Pi sensors to develop a robot that could automatically identify and pick up table tennis balls.

Responsible for research project writing and data analysis.

Awards and Honors

2nd Prize,17th E-commerce Competition, Zhejiang Province(Class A) 2022

HCIA Big Data Engineer Certificate2020

Academic Scholarship, CJLU2020

Merit Scholarships * 4, CJLU & AUT2019-2023

Service

Volunteer

Volunteer, CHI, 2024

Volunteer, Chinese CHI, 2023

Skills

Technical Skills

Programming Languages: Python, Java, JavaScript, TypeScript, R, SQL, LaTeX, MATLAB, HTML/CSS

Machine Learning & Natural Language Processing: PyTorch, TensorFlow, Scikit-learn, Pandas, Language Model Fine-tuning (e.g., BERT, GPT)

Web & Mobile Development: Node.js, React.js, Flask

Data Analysis & Visualization: Matplotlib, Seaborn, Tableau

Design & User Experience

UI/UX Design, Figma, Adobe Illustrator, Adobe Photoshop

Research & Analysis

User research (interview, survey, user testing), HCI Qualitative Interview & Analysis, Exploratory lab studies, Semi-structured interviews, Surveys, Contextual inquiry

Tools & Platforms

Unity, Visual Studio Code, Git, Firebase, Miro, Excel, AWS EC2

Languages

Mandarin (native), English (fluent)