Yuheng Zhao

Download PDF Last updated in . Get the latest version at https://zyh1222.github.io//cv.

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

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

Reviewer

Journals: IEEE TVCG, IEEE CG&A, Computers & Graphics, Computer Graphics and Forum, Visual Informatics, Visual Computer.

Conferences and Workshops: IEEE VIS / VISxGenAI Workshop, ACM UIST, ACM CHI / Late-Breaking Work, ACM CSCW, IEEE PacificVis / VisNotes, EuroVis, ChinaVis, VINCI.

Session Chair

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

ChinaVis, AI and Visualization, 2026.