I am currently a postdoctoral researcher at the University of Konstanz, under the supervision of Professor Daniel A. Keim. My research interests include Data Visualization and Human-Computer Interaction.

My work focuses on developing human-centered computing tools to address complex scientific problems, facilitating the process of explainability and data-driven decision-making.

For more information, please click here

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Featured Publications

• “Qualitative Study for LLM-assisted Design Study Process: Strategies, Challenges, and Roles.”

  • Shaolun Ruan, Rui Sheng, Xiaolin Wen, Jiachen Wang, Tianyi Zhang, Yong Wang, Tim Dwyer, and Jiannan Li

  • IEEE Transactions on Visualization and Computer Graphics (TVCG 2025)

  • IEEE VIS 2025 Best Paper Honorable Mention

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• “Towards Explainable Quantum AI: Informing the Encoder Selection of Quantum Neural Networks via Visualization.”

  • Shaolun Ruan, Feng Liang, Rohan Ramakrishna, Chao Ren, Rudai Yan, Qiang Guan, Jiannan Li, and Yong Wang

  • IEEE Transactions on Visualization and Computer Graphics (TVCG 2026)

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• “QuantumEyes: Towards Better Interpretability of Quantum Circuits.”

  • Shaolun Ruan, Qiang Guan, Paul Griffin, Ying Mao, and Yong Wang

  • IEEE Transactions on Visualization and Computer Graphics (TVCG 2023)

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• “VIOLET: Visual Analytics for Explainable Quantum Neural Networks.”

  • Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Griffin, Xiaolin Wen, Yanna Lin, and Yong Wang

  • IEEE Transactions on Visualization and Computer Graphics (TVCG 2023)

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• “VENUS: A Geometrical Representation for Quantum State Visualization.”

  • Shaolun Ruan, Ribo Yuan, Qiang Guan, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, and Yong Wang

  • Computer Graphics Forum (Proceedings of EuroVis 2023)

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• “VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing.”

  • Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, and Qiang Guan

  • IEEE Transactions on Visualization and Computer Graphics (TVCG 2022)

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Access all publications here

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Honors and Awards

• 2025 — Google PhD Fellowship
• 2025 — IEEE VIS 2025 Best Paper Honorable Mention
• 2024 — SMU Presidential Doctoral Fellowship
• 2024 — Dean’s List Award
• 2023 — SMU Presidential Doctoral Fellowship
• 2019 — UESTC SCSE Outstanding Student Award

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Educations

• From 2026.05 — Postdoctoral Researcher, University of Konstanz, Germany
• 2024.12 – 2026.01 — Visiting Research Scholar, Monash University, Australia
• 2022.01 – 2026.01 — Ph.D. Candidate, Singapore Management University, Singapore
• 2019.07 – 2021.09 — Research Assistant, Kent State University, U.S.
• 2015.09 – 2019.07 — Bachelor’s Degree, University of Electronic Science and Technology of China, China

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Invited Talks

• 2026.01 — Invited Talk: “Explainable Quantum Computing and Quantum Neural Networks”, ÉTS Quantum Seminar Series
• 2025.11 — Invited Talk: “Visualization towards addressing the explanation and decision-making of scientific problems”, RMIT University
• 2025.10 — Invited Talk: “Explainable Quantum Computing and Quantum Neural Networks”, University of Toronto
• 2025.06 — Invited Talk: “Visualization towards addressing the explanation and decision-making of scientific problems”, University of Technology Sydney & Western Sydney University
• 2024.05 — Invited Speaker: Research Talk and Panel Discussion in GAMES Webinar
• 2024.04 — Invited Talk: “Visualization towards Supporting the Application of Quantum Computing”, Central South University
• 2024.02 — Invited Lecture: “Stepping Into the Era of Interpretable Quantum Computing”, QuCS Lecture Series, University of Notre Dame
• 2024.01 — Invited Talk: “Visualization towards Supporting the Application of Quantum Computing”, Sichuan University
• 2024.01 — Invited Talk: “Towards Making Your VIS Paper Writing Better”, University of Electronic Science and Technology of China (UESTC)
• 2023.12 — Invited Speaker: VAST Panel in VisLab HAI Seminar, The Hong Kong University of Science and Technology (HKUST)
• 2023.11 — Invited Talk: “Visualization towards Supporting the Application of Quantum Computing”, The Hong Kong University of Science and Technology (HKUST)

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Teaching

• 2025 Semester 2 — Tutor, Studio 6, FIT3179 - Data Visualisation, Monash University
• 2025 Semester 2 — Tutor, Studio 12, FIT3179 - Data Visualisation, Monash University
• 2023-24 Spring — Teaching Assistant, IS428 - Visual Analytics for Business Intelligence, SMU
• 2024-25 Fall — Teaching Assistant, CS711 - Learning and Planning in Intelligent Systems, SMU