Jieqiong Zhao
Assistant Professor
Academic Appointment(s)
Administration
Department of Computer & Cyber Sciences
School of Computer and Cyber Sciences
Department of Computer & Cyber Sciences
Administration
Department of The Graduate School
Education
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Ph.D., Electrical and Computer Engine
Purdue University, 2020
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MS, Computer Science.
Tufts University, 2013
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BE, Computer Software Engineering
Zhejiang University of Technol, 2010
Courses Taught Most Recent Academic Year
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CSCI 4820
Computer Graphics
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BMSE 2201
Biomedical Visualization
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CSCI 8940
Dissertation Research
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CSCI 8510
Independent Study: Data Visualization
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CSCI 8720
Problems in Computer & Cyber
Teaching Interests
My teaching interests center on data visualization, visual analytics, computer graphics, and human-computer interaction, areas that closely align with my research on human-AI teaming and visual reasoning. I aim to create a classroom environment that integrates foundational theory with experiential learning, helping students develop both technical skills and design thinking for solving complex, data-driven, real-world problems.
Scholarship
Selected Recent Publications
- Towards General-Purpose Video Reconstruction through Synergy of Grid-Splicing Diffusion and Large Language Models, 2025
Journal Article, Academic Journal
- A Simulation-Based Approach for Quantifying the Impact of Interactive Label Correction for Machine Learning, 2025
Journal Article, Academic Journal
- Poster Abstract: PrivacyVis: Interactive Visualization Tool for Privacy Risks of Internet of Things Sensors, 2025
Conference Proceeding
- Towards Understanding User Privacy Concerns of Internet of Things Sensor Data, 2025
Conference Proceeding
- Adaptive Dynamic Digital Twin for Test Scenario Generation, 2025
Conference Proceeding
Research Interests
My research centers on building intelligent, human-centered full-stack systems that bridge natural language processing (NLP), computer vision (CV), and data analysis. Currently, I develop natural-language interfaces for data analysis, using large language models as conversational chatbots that translate analytical intents into appropriate data operations and visualizations, thereby lowering the technical barrier for exploratory data analysis.
I also explore multimodal agent frameworks for pathology diagnosis, integrating CV and LLMs to assist physicians in identifying regions of interest, refining diagnostic queries, and retrieving visually similar cases. These systems emphasize human-in-the-loop collaboration, provenance tracking, and calibrated uncertainty estimation to ensure transparency and reliability in medical decision support.
Department Service
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Search Committee Member, Data Science Faculty Search, School of Computer and Cyber Sciences
2024 - Present
Role: Committee Member
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Women in CyberSecurity (WiCyS) Student Chapter
2023 - Present
Role: Faculty Mentor
Professional Service
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The Eurographics Conference on Visualization Full Papers
2024 - Present
Role: Committee Member
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IEEE VIS 2024 Panel
2024 - Present
Role: Conference-Related
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IEEE Transactions on Visualization and Computer Graphics
2023 - Present
Role: Reviewer
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Visualization Notes track of PacificVis Conference
2022 - Present
Role: Committee Member
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Hawaii International Conference on System Sciences
2018 - Present
Role: Reviewer, Conference Paper
