Yuheng Zhao

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PhD Candidate, School of Data Science, Fudan University
Research: LLM-driven interactive agents, human-AI collaborative decision-making, intelligent visual analytics
Incoming Postdoctoral Researcher, ELLIS Institute Finland

https://zyh1222.github.io/
yuhengzhao@fudan.edu.cn
+86 152-0714-7890
Google Scholar

Research Area

My research focuses on LLM-driven intelligent visual analytics and human-AI collaboration. I combine methods from Visualization, Artificial Intelligence, and Human-Computer Interaction to build intelligent interfaces that help people understand complex data, coordinate with AI agents, and make decisions in open-ended analytical workflows.

Positions

Aug 2026– ELLIS Institute Finland / Aalto University Espoo, Finland
Postdoctoral Researcher, ELLIS Institute Postdoctoral Fellowship

Supervisor: Prof. Antti Oulasvirta.

Jul–Sep 2023 Huawei 2012 Laboratories, Central Software Institute Shanghai, China
Research Intern

Developed LLM-agent-based data analysis methods and systems for complex scenarios such as spatiotemporal situation awareness and business intelligence, supporting task-intent understanding, analysis planning, tool use, and human-in-the-loop decision-making.

Nov 2021–Jun 2022 FDUVIS Lab, School of Data Science, Fudan University Shanghai, China
Research Assistant

Developed social media visual analytics systems, including temporal topic modeling, text comparison, and immersive 3D/VR visual analytics systems.

Jul–Sep 2020 BGI Genomics, Bioinformatics Algorithm Group Shenzhen, China
Research Intern

Designed and implemented algorithms for detecting different types of genomic structural variants from next-generation sequencing data.

Education

2022–2026 Ph.D. in Statistics, School of Data Science, Fudan University Shanghai, China

Advisor: Prof. Siming Chen. Dissertation: LLM-driven intelligent visual analytics.

2025–2026 Visiting Ph.D. Student, School of Informatics, University of Edinburgh Edinburgh, UK

Advisor: Prof. Benjamin Bach. Supported by the China Scholarship Council.

2020–2021 M.S. in Data-driven Modeling, The Hong Kong University of Science and Technology Hong Kong, China

Advisor: Prof. Michael K. Y. Wong. First Class Honors.

2016–2020 B.S. in Information and Computing Science, Huazhong Agricultural University Wuhan, China

Advisor: Prof. Feng Shi.

Selected Research Projects

2025 CellHermes: Language-based multimodal omics understanding AI for Science

Propose CellHermes, a biological large language model that integrates multimodal forms of omics data, such as transcriptomic profile and PPI network, through natural language for better omics understanding.

2025 ProactiveVA: Proactive visual analytics with LLM-based UI agents Human-AI Interaction

Designed a proactive GUI-agent framework that perceives user difficulties, reasons about assistance strategies, and acts within visual analytics interfaces to support data analysis.

2024 LightVA: LLM-agent-based task planning and visual analytics generation Visual Analytics

Built an LLM-agent workflow for decomposing analysis goals, generating visual analytics systems, and optimizing multiple linked views, reducing development from weeks to hours.

2023 LEVA: LLM-enhanced visual analytics Visual Analytics

Proposed an early LLM-enhanced visual analytics framework that supports onboarding, exploration, recommendation, and report generation. The paper is an ESI Highly Cited Paper (top 1%).

2023 ContextWing: Visual comparison for evolving social media contexts Social Computing

Developed a text comparison and visual analytics method that combines dynamic topic modeling and sequential pattern mining to reveal semantic evolution in large-scale social media streams.

Publications [Interactive Version]

Journal

Conference

Workshop

Awards & Funding

Scholarships & Honors

Research & Competitions

Travel & Project Grants

Invited Talks

Nov 2025 LLM-driven intelligent visual analytics IEEE VIS Doctoral Colloquium, Vienna
Jul 2025 Building proactive GUI visual analytics agents ChinaVis Frontier Paper Talk, Hangzhou
May 2025 LLM-driven intelligent visual analytics Fudan 120th Anniversary PhD Forum, Shanghai
Dec 2024 Agent-driven visual analytics for automated task decomposition Fudan-Tsinghua Joint PhD Forum, Shanghai
Jul 2024 LLM-driven intelligent visual analytics methods ChinaVis Doctoral Colloquium, Hong Kong
May 2024 LLM-enhanced intelligent interactive data analysis GAMES Webinar
Aug 2023 Text data mining and visual analytics CCF-CSCW & Social Computing Summer School, Suzhou

Teaching

Fall 2021 Data Visualization and Application Fudan University

Teaching Assistant. Developed and presented tutorials on visual analytics tools, HTML, and D3.js; graded assignments for approximately 80 students.

Academic Service

Program Committee

IEEE VIS Posters (2026), IEEE PacificVis Papers (2026), EuroVis Posters and Demos (2026), ChinaVis Papers (2026), VINCI (2024-2026).

Reviewer

Journals: IEEE Transactions on Visualization and Computer Graphics (TVCG, 2023-2026), IEEE Computer Graphics and Applications (CG&A, 2025), Computers & Graphics (2025-2026), Visual Informatics (2023-2026).

Conferences and Workshops: IEEE VIS Full Papers / Short Papers / Posters / VISxGenAI (2024-2026), ACM UIST Papers (2025-2026), ACM CHI Papers / Late-Breaking Work / Workshops (2025), ACM CSCW (2024), IEEE PacificVis Conference Track / VisNotes (2024-2026), EuroVis Full Papers / Posters and Demos (2026), ChinaVis Papers (2024, 2026), VINCI (2024-2026).

Session Chair

China-R Conference, AI+VIS Session, 2023.