Dazhen Deng
Portrait
Tenure-Track Assistant Professor
Logo Interactive Data Group (ZJUIDG)
Logo School of Software Technology, Zhejiang University

I 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 centers on agent-driven visual analytics, spanning data agents, GUI agents, and multimodal chart understanding & generation. I apply these methods to sports analytics and to analyzing the internal mechanisms of large language models (e.g., interpretability and quantization). 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 agent-driven visual analytics (data agents, GUI agents, multimodal chart understanding & generation), with applications in sports analytics and LLM interpretability. For more details, please refer to the Join Us page.

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Education
  • Zhejiang University
    Zhejiang University
    Ph.D. in Computer Science and Technology
    Sep. 2018 - Jul. 2023
  • Zhejiang University
    Zhejiang University
    B.S. in Applied Mathematics
    Sep. 2014 - Jul. 2018
Honors & Awards
  • First Prize of Science and Technology of Zhejiang Province
    2025
  • CSIG Outstanding Doctoral Dissertation Award
    2025
  • First Prize of Science and Technology of Zhejiang Province
    2024
  • Huawei Qizhen Scholar Foundation
    2024
  • IEEE VIS Best Paper Honorable Mention Award
    2024
  • Ningbo Yongjiang Innovative Youth Talents
    2023
  • Outstanding Graduates of Zhejiang Province
    2023
  • IEEE VIS Best Paper Honorable Mention Award
    2022
  • National Scholarship
    2022
Selected Public Talks
  • Visual Analytics for Trustworthy Large Language Models, ShanghaiTech University, Shanghai, China
    2025.5
  • Artificial Intelligence for Visualization Generation, ChinaVis 2024 Panel: LLM and Knowledge-based Data Storytelling, Hongkong, China
    2024.7
  • Artificial Intelligence for Visualization Generation, Huawei Cloud Data Intelligence Workshop, Hangzhou, China
    2024.5
Program Committees
  • ICLR (Senior Program Committee)
    2026
  • IEEE VIS
    2026
  • IEEE VIS Short Papers
    2025
  • CAD/CG
    2025, 2026
  • ChinaVis
    2025
  • PacificVis (TVCG-Journal Track)
    2024, 2025
Invited Conference Reviewers
  • IEEE VIS
  • ACM CHI
  • CVPR
  • ACL
  • UIST
  • CSCW
  • ACM MM
  • PacificVis (Regular and TVCG-Journal Track)
  • ChinaVis
Invited Journal Reviewers
  • IEEE TVCG
  • IEEE TOMM
  • Visual Informatics
News
2026
Our paper "A Declarative Grammar for Interactive Trajectory Visualization: Interaction as First-Class Component" was awarded IEEE PacificVis 2026 Best Paper Honorable Mention Award!
Apr 22
2 papers accepted to ACL 2026 (1 Main, 1 Findings).
Apr 07
2 papers accepted to CHI 2026.
Jan 18
2025
2 papers accepted to UIST 2025.
Jul 18
2 papers accepted to CHI 2025.
Jan 18
2024
Our paper "AdversaFlow: Visual Red Teaming for Large Language Models with Multi-Level Adversarial Flow" was awarded IEEE VIS 2024 Best Paper Honorable Mention!
Aug 15
1 paper accepted to UIST 2024
Jul 08
1 paper accepted to IEEE VIS 2024
Jul 08
1 paper about "sports news generation" accepted to TVCG
Apr 22
1 paper about "chart generation" accepted to TVCG
Jan 22
Selected Publications (view all )
Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework
Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework

Yuchen He, Peizhi Ying, Liqi Cheng, Kuilin Peng, Yuan Tian, Dazhen Deng#, Yingcai Wu (# corresponding author)

CHI 2026 (CCF-A)

[Web] [Data] [DOI] [BibTeX] 

@inproceedings{10.1145/3772318.3790721,
  author = {He, Yuchen and Ying, Peizhi and Cheng, Liqi and Peng, Kuilin and Tian, Yuan and Deng, Dazhen and Wu, Yingcai},
  title = {Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework},
  year = {2026},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3772318.3790721},
  doi = {10.1145/3772318.3790721},
  booktitle = {Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems},
}
Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework

Yuchen He, Peizhi Ying, Liqi Cheng, Kuilin Peng, Yuan Tian, Dazhen Deng#, Yingcai Wu (# corresponding author)

CHI 2026 (CCF-A) 2026

[Web] [Data] [DOI]

StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation
StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation

Huawei Zheng, Xinqi Jiang, Sen Yang, Shouling Ji, Yingcai Wu, Dazhen Deng# (# corresponding author)

ACL 2026 Main (CCF-A)

[PDF] [Code] [DOI] [BibTeX] 

@inproceedings{zheng2026stealthgraph,
    author    = {Zheng, Huawei and Jiang, Xinqi and Yang, Sen and Ji, Shouling and Wu, Yingcai and Deng, Dazhen},
    title     = {{StealthGraph}: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation},
    booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics},
    year      = {2026}
}
StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation

Huawei Zheng, Xinqi Jiang, Sen Yang, Shouling Ji, Yingcai Wu, Dazhen Deng# (# corresponding author)

ACL 2026 Main (CCF-A) 2026

[PDF] [Code] [DOI]

A Declarative Grammar for Interactive Trajectory Visualization: Interaction as First-Class Component
A Declarative Grammar for Interactive Trajectory Visualization: Interaction as First-Class Component

Award Best Paper Honorable Mention Award

Shifu Chen, Xiaodan Miao, Dazhen Deng#, Zikun Deng, Di Weng#, Yingcai Wu (# corresponding author)

IEEE Pacific Visualization Symposium (PVIS 2026)

[PDF] [BibTeX] 

@inproceedings{chen2026trajgram,
    author    = {Chen, Shifu and Miao, Xiaodan and Deng, Dazhen and Deng, Zikun and Weng, Di and Wu, Yingcai},
    title     = {A Declarative Grammar for Interactive Trajectory Visualization: Interaction as First-Class Component},
    booktitle = {Proceedings of the IEEE Pacific Visualization Symposium (PacificVis)},
    year      = {2026}
}
A Declarative Grammar for Interactive Trajectory Visualization: Interaction as First-Class Component

Award Best Paper Honorable Mention Award

Shifu Chen, Xiaodan Miao, Dazhen Deng#, Zikun Deng, Di Weng#, Yingcai Wu (# corresponding author)

IEEE Pacific Visualization Symposium (PVIS 2026) 2026

[PDF]

AdversaFlow: Visual Red Teaming for Large Language Models with Multi-Level Adversarial Flow
AdversaFlow: Visual Red Teaming for Large Language Models with Multi-Level Adversarial Flow

Award Best Paper Honorable Mention Award

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)

[PDF] [Demo] [DOI] [BibTeX] 

@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

Award Best Paper Honorable Mention Award

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

[PDF] [Demo] [DOI]

ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language
ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language

Web of Science Highly Cited Paper

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)

[Code] [PDF] [DOI] [BibTeX] 

@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

Web of Science Highly Cited Paper

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

[Code] [PDF] [DOI]

OBTracker: Visual Analytics of Off-ball Movements in Basketball
OBTracker: Visual Analytics of Off-ball Movements in Basketball

Award Best Paper Honorable Mention Award

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)

[PDF] [DOI] [BibTeX] 

@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}
}
OBTracker: Visual Analytics of Off-ball Movements in Basketball

Award Best Paper Honorable Mention Award

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) 2023

[PDF] [DOI]

All publications