Interactive Data Group (ZJUIDG)
School of Software Technology, Zhejiang UniversityI am a Tenure-Track Assistant Professor (ZJU 100-Young Professor) in the School of Software and Technology at Zhejiang University (中文主页). I received my Ph.D. at the State Key Lab of CAD&CG, Zhejiang University, under the supervision of Prof. Yingcai Wu (巫英才). My research interests lie in visual analytics, artificial intelligence, and their applications in specific domains. I have been honored with IEEE VIS 2022 and 2024 Best Paper Honorable Mention Award and First Prize of Science and Technology of Zhejiang Province. The relevant achievements have been applied to the Intelligent Big Data Platform of the Chinese Table Tennis Team, aiding the national team in preparing for major international competitions, such as Olympic Games and World Table Tennis Championships (CCTV News, Zhejiang Daily)
My research group is actively seeking exceptionally self-motivated undergraduate students, master students, Ph.D. students, and research interns. We welcome individuals with a deep interest in Trustworthy LLMs, LLM driven visual analytics, data mining and artificial intelligence. For more details, please refer to the Join Us page.
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Zhejiang UniversityPh.D. in Computer Science and TechnologySep. 2018 - Jul. 2023
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Zhejiang UniversityB.S. in Applied MathematicsSep. 2014 - Jul. 2018
Honors & Awards
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First Prize of Science and Technology of Zhejiang Province2024
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Huawei Qizhen Scholar Foundation2024
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IEEE VIS Best Paper Honorable Mention Award2024
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Ningbo Yongjiang Innovative Youth Talents2023
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Outstanding Graduates of Zhejiang Province2023
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IEEE VIS Best Paper Honorable Mention Award2022
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National Scholarship2022
Selected Public Talks
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Visual Analytics for Trustworthy Large Language Models, ShanghaiTech University, Shanghai, China2025.5
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Artificial Intelligence for Visualization Generation, ChinaVis 2024 Panel: LLM and Knowledge-based Data Storytelling, Hongkong, China2024.7
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Artificial Intelligence for Visualization Generation, Huawei Cloud Data Intelligence Workshop, Hangzhou, China2024.5
Program Committees
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IEEE VIS Short Papers2025
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CAD/CG2025
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ChinaVis2025
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PacificVis (TVCG-Journal Track)2024
Invited Conference Reviewers
- IEEE VIS
- ACM CHI
- UIST
- ACM MM
- PacificVis (Regular and TVCG-Journal Track)
- ChinaVis
Invited Journal Reviewers
- IEEE TVCG
- IEEE TOMM
- Visual Informatics
News
Selected Publications (view all )
ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs
Yuan Tian, Chuhan Zhang, Xiaotong Wang, Sitong Pan, Weiwei Cui, Haidong Zhang, Dazhen Deng#, Yingcai Wu (# corresponding author)
Proceedings of the Annual ACM Symposium on User Interface Software and Technology (UIST 2025) (CCF-A)
@inproceedings{tian2025respark,
author = {Yuan Tian and
Chuhan Zhang and
Xiaotong Wang and
Sitong Pan and
Weiwei Cui and
Haidong Zhang and
Dazhen Deng and
Yingcai Wu},
title = {{ReSpark}: Leveraging Previous Data Reports as References to Generate New Reports with LLMs},
booktitle = {Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology},
series = {UIST '25},
articleno = {181},
numpages = {18},
year = {2025},
url = {https://doi.org/10.1145/3746059.3747644},
doi = {10.1145/3746059.3747644},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
keywords = {Data Reports, Visualization Generation, Large Language Models}
}
ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs
Yuan Tian, Chuhan Zhang, Xiaotong Wang, Sitong Pan, Weiwei Cui, Haidong Zhang, Dazhen Deng#, Yingcai Wu (# corresponding author)
Proceedings of the Annual ACM Symposium on User Interface Software and Technology (UIST 2025) (CCF-A) 2025
AdversaFlow: Visual Red Teaming for Large Language Models with Multi-Level Adversarial Flow
Best Paper Honorable Mention
Dazhen Deng, Chuhan Zhang, Huawei Zheng, Yuwen Pu, Shouling Ji, Yingcai Wu
IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2024), vol. 31, no. 1, pp. 492-502, Jan. 2025 (CCF-A, JCR-Q1)
@ARTICLE{10681029,
author={Deng, Dazhen and Zhang, Chuhan and Zheng, Huawei and Pu, Yuwen and Ji, Shouling and Wu, Yingcai},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={AdversaFlow: Visual Red Teaming for Large Language Models with Multi-Level Adversarial Flow},
year={2024},
volume={},
number={},
pages={1-11},
keywords={Security;Analytical models;Training;Visual analytics;Artificial intelligence;Toxicology;Safety;Visual Analytics for Machine Learning;Artificial Intelligence Security;Large Language Models;Text Visualization},
doi={10.1109/TVCG.2024.3456150}
}
AdversaFlow: Visual Red Teaming for Large Language Models with Multi-Level Adversarial Flow
Dazhen Deng, Chuhan Zhang, Huawei Zheng, Yuwen Pu, Shouling Ji, Yingcai Wu
IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2024), vol. 31, no. 1, pp. 492-502, Jan. 2025 (CCF-A, JCR-Q1) 2024
ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language
Yuan Tian, Weiwei Cui, Dazhen Deng#, Xinjing Yi, Yurun Yang, Haidong Zhang, Yingcai Wu# (# corresponding author)
IEEE Transactions on Visualization and Computer Graphics, vol. 31, no. 3, pp. 1731-1745, March 2025 (CCF-A, JCR-Q1)
@ARTICLE{tian2024chartgpt,
author={Tian, Yuan and Cui, Weiwei and Deng, Dazhen and Yi, Xinjing and Yang, Yurun and Zhang, Haidong and Wu, Yingcai},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={{ChartGPT}: Leveraging LLMs to Generate Charts from Abstract Natural Language},
year={2024},
volume={31},
number={3},
pages={1731--1745},
keywords={Data visualization;Natural languages;Task analysis;Data models;Visualization;Cognition;Data analysis;Natural language interfaces;large language models;data visualization},
doi={10.1109/TVCG.2024.3368621}
}
ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language
Yuan Tian, Weiwei Cui, Dazhen Deng#, Xinjing Yi, Yurun Yang, Haidong Zhang, Yingcai Wu# (# corresponding author)
IEEE Transactions on Visualization and Computer Graphics, vol. 31, no. 3, pp. 1731-1745, March 2025 (CCF-A, JCR-Q1) 2024
OBTracker: Visual Analytics of Off-ball Movements in Basketball
Best Paper Honorable Mention
Yihong Wu, Dazhen Deng, Xiao Xie, Moqi He, Jie Xu, Hongzeng Zhang, Hui Zhang, Yingcai Wu
IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2022), vol. 29, no. 1, pp. 929-939, Jan. 2023 (CCF-A, JCR-Q1)
@article{wu2023obtracker,
author = {Yihong Wu and
Dazhen Deng and
Xiao Xie and
Moqi He and
Jie Xu and
Hongzeng Zhang and
Hui Zhang and
Yingcai Wu},
title = {{OBTracker}: Visual Analytics of Off-ball Movements in Basketball},
journal = {IEEE Transactions on Visualization and Computer Graphics},
volume = {29},
number = {1},
pages = {929--939},
year = {2023},
url = {https://doi.org/10.1109/TVCG.2022.3209373},
doi = {10.1109/TVCG.2022.3209373}
}
DashBot: Insight-Driven Dashboard Generation Based on Deep Reinforcement Learning
Dazhen Deng, Aoyu Wu, Huamin Qu, Yingcai Wu
IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2022), vol. 29, no. 1, pp. 690-700, Jan. 2023 (CCF-A, JCR-Q1)
@article{deng2023dashbot,
author = {Dazhen Deng and
Aoyu Wu and
Huamin Qu and
Yingcai Wu},
title = {{DashBot}: Insight-Driven Dashboard Generation Based on Deep Reinforcement
Learning},
journal = {IEEE Transactions on Visualization and Computer Graphics},
volume = {29},
number = {1},
pages = {690--700},
year = {2023},
url = {https://doi.org/10.1109/TVCG.2022.3209468},
doi = {10.1109/TVCG.2022.3209468},
}