Dazhen Deng
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 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.


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
    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
  • IEEE VIS Short Papers
    2025
  • CAD/CG
    2025
  • ChinaVis
    2025
  • 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
2025
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
2023
1 paper accepted to AAAI and 1 paper accepted to CHI
Dec 05
1 paper accepted to IEEE VIS 2023 and 1 paper accepted to ACM UIST
Jul 08
2022
1 paper accepted to IEEE TVCG
Sep 12
Selected Publications (view all )
ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization
ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization

Yuchen He, Jianbing Lv, Liqi Cheng, Lingyu Meng, Dazhen Deng#, Yingcai Wu (# corresponding author)

CHI 2025 (CCF-A)

ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization

Yuchen He, Jianbing Lv, Liqi Cheng, Lingyu Meng, Dazhen Deng#, Yingcai Wu (# corresponding author)

CHI 2025 (CCF-A) 2025

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

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
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
OBTracker: Visual Analytics of Off-ball Movements in Basketball

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

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

DashBot: Insight-Driven Dashboard Generation Based on Deep Reinforcement Learning
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},
}
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) 2023

All publications