陶钧，2018年9月起担任中山大学数据科学与计算机学院副教授，博士生导师，入选中山大学“百人计划”。其于2015年获得密歇根理工大学计算机科学专业哲学博士学位，2015年至2018年于圣母大学计算机科学与工程系任博士后研究员。
其研究聚焦科学数据的智能模拟、分析与可视化。研究内容立足于连续三维物理空间中科学特征尺度差异大、拓扑复杂的特性：1. 构建具有物理语义的特征元；2. 研究多模态理解机制，融合数值、视觉、语言等信息，建立适配科学数据的信息聚合与语义转化路径；3. 基于特征元和多模态理解设计复杂结构构建语法与高性能框架，将专家知识与AI推理深度耦合，构建从基元到训练框架、交互分析理解的人机协同探索新框架。
实验室研究主要定位可视化领域顶级期刊IEEE Transactions on Visualization and Computer Graphics，及国际会议IEEE Visualization Conference, IEEE Pacific Visualization Symposium.
欢迎对分析、理解、展示数据抱有热情，尤其是利用多模态表示和交互系统促进人智协同的同学报考硕士、博士；也欢迎各年级本科同学加入实验室。
研究领域:
科学可视化、可视分析、人机交互、多模态表示、混合智能。
教育背景:
2008.9-2015.10，美国密歇根理工大学，博士
2004.9-2008.7，中山大学，本科
工作经历:
2018.9-至今，中山大学，副教授
2015.10-2018.9，美国圣母大学，博士后研究员
代表性论著（近5年）:
 | From Scalars to Time Series: Rethinking Implicit Neural Representations for Time-Varying Volumetric Data Weihan Zhang, Xuan Zhao, Yanwen Peng, Yuqi Chen, Jun Tao*. IEEE Transactions on Visualization and Computer Graphics (IEEE VIS), 2027. [PDF] |
 | NeuroLens: A Holistic Visual Analytics System for Exploring Brain Networks Across Scales Weihan Zhang, Jun Tao*. IEEE Transactions on Visualization and Computer Graphics, 2026. [PDF] |
 | Parallel Clusters: Visual Comparison of Embeddings Based on Multi-Scale Neighborhood Analysis Zehua Yu, Xiaoyi Li, Pengfei Liu, Jun Tao*. IEEE Transactions on Visualization and Computer Graphics, 32(3):2758-2772, Jan 2026. [PDF] |
 | Automatic Semantic Alignment of Flow Pattern Representations for Exploration with Large Language Models Weihan Zhang, Jun Tao*. IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2025), 32(1):835-845, Jan 2026. [PDF] |
 | Natural Language-Driven Viewpoint Navigation for Volume Exploration via Semantic Block Representation Xuan Zhao, Jun Tao*. IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2025), 32(1):879-889, Jan 2026. [PDF] |
 | FlowHON: Representing Flow Fields Using Higher-Order Networks Nan Chen, Zhihong Li, Jun Tao*. IEEE Transactions on Visualization and Computer Graphics, 31(10):7565-7579, Oct 2025. [PDF] |
 | Versatile Ordering Network: An Attention-based Neural Network for Ordering Across Scales and Quality Metrics Zehua Yu, Weihan Zhang, Sihan Pan, Jun Tao*. IEEE Transactions on Visualization and Computer Graphics, 31(7):4081-4094, Jul 2025. [PDF][GitHub] |
 | FlowLLM: Large language model driven flow visualization Zilin Li, Weihan Zhang, Jun Tao*. Visual Informatics, 100241, Sep 2025. [PDF] |
 | Explore Your Network in Minutes: A Rapid Prototyping Toolkit for Understanding Neural Networks with Visual Analytics Shaoxuan Lai, Wanna Luan, Jun Tao*. IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2023), 30(1):683-693, Jan 2024. [PDF][GitHub] |
 | FlowNL: Asking Flow Data in Natural Languages Jieying Huang, Yang Xi, Junnan Hu, Jun Tao*. IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2022), 29(1):1200-1210, Jan 2023. [PDF][Demo Video] |
 | SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance Zhichun Guo, Jun Tao*, Siming Chen, Nitesh V. Chawla, Chaoli Wang. IEEE Transactions on Visualization and Computer Graphics, 29(8):3569-3585, Aug 2023. [PDF][GitHub][Presented at IEEE VIS 2022] |
 | MV2Net: Multi-Variate Multi-View Brain Network Comparison over Uncertain Data Lei Shi, Junnan Hu, Zhihao Tan, Jun Tao*, Jiayan Ding, Yan Jin, Yanjun Wu, and Paul M. Thompson. IEEE Transactions on Visualization and Computer Graphics, 28(12):4640-4657, Dec 2022. [PDF][Presented at IEEE VIS 2022] |
 | SurfRiver: Flattening Stream Surfaces for Comparative Visualization Jun Zhang, Jun Tao*, Jian-xun Wang, and Chaoli Wang. IEEE Transactions on Visualization and Computer Graphics (IEEE PacificVis 2021), 27(6):2783-2795, Apr 2021. [PDF] |
