Jieqiong Zhao
Assistant Professor
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
- JIEZHAO@augusta.edu
- University Hall 131 C
- Personal Website
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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BMSE 2201
Biomedical Visualization
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CSCI 8940
Dissertation Research
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CSCI 4990
Undergrad Research
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CSCI 4820
Computer Graphics
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 - BlossomNet: Visualizing Influence and Community Evolution with Floral Glyphs in Large Person-Centric Knowledge Graphs : VAST 2025 Design Challenge, 2025
Conference Proceeding - Melody Way: Visualizing Influence, Collaboration, and Genre Evolution in the Music Industry, 2025
Conference Proceeding - Impact of EXplainable AI on Trust Evolution with AI Error Severity: Comparing Similar Instances and Saliency Map in a Baggage Screening Task, 2025
Journal Article, Academic Journal - Scalable Object Detection in Mixed Reality Using Incremental Re-Training and One-Shot 3D Annotation, 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