刘灿，中央财经大学信息学院助理教授。本科毕业于北京大学信息科学技术学院，获计算机理学学士学位，同时获北京大学国家发展研究院经济学学士学位；后于北京大学智能学院获理学博士学位，2024至2026年任南洋理工大学博士后研究员。主要从事数据可视化、可视分析与人机交互研究，关注人工智能辅助的数据理解、交互与表达。研究成果发表于 IEEE Transactions on Visualization and Computer Graphics、ACM CHI、IEEE PacificVis 等国际知名期刊和会议。曾获 IEEE PacificVis 最佳论文奖、IEEE VIS 最佳海报奖提名、IEEE PacificVis 最佳海报奖、中国可视化与可视分析大会最佳综述论文奖及最佳论文奖提名。担任 IEEE PacificVis（TVCG 期刊论文轨）、ACM IUI 等会议的程序委员会委员，并为 IEEE TVCG、ACM CHI、IEEE VIS、IJHCI 等国际期刊和会议担任审稿人。详见个人主页（https://liucan.me）。
研究方向
- 数据可视化与可视分析
- 人机交互与人机协同
- 人工智能辅助的可视化生成、理解与交互
- 人工智能驱动的经济数据分析
学术论文
[1] Can Liu, Jaeuk Lee, Tianhe Chen, Zhibang Jiang, Xiaolin Wen, Yong Wang. From Static to Interactive: Authoring Interactive Visualizations via Natural Language. Proceedings of IEEE Pacific Visualization Conference (PacificVis), 2026: 113–123. （最佳论文奖）
[2] Can Liu, Sizhe Cheng, Feng Liang, Zhibang Jiang, Lingru Huang, Kavinda Athapaththu, Yong Wang. Proteus: Shapeshifting Desktop Visualizations for Mobile via Multi-level Intelligent Adaptation. Proceedings of ACM Conference on Designing Interactive Systems (DIS), 2026: 4874–4891.
[3] Can Liu, Wenjie Jiang, Shaolun Ruan, Kotaro Hara, Yong Wang. Accessible Fine-grained Data Representation via Spatial Audio. IEEE Computer Graphics and Applications, 2026. DOI: 10.1109/MCG.2026.3690590.
[4] Xiang Li, Cara Li, Emily Kuang, Can Liu, Jian Zhao. MindTrellis: Co-Creating Knowledge Structures with AI through Interactive Visual Exploration. Proceedings of ACM Conference on Designing Interactive Systems (DIS), 2026: 4892–4912.
[5] Liwenhan Xie, Yanna Lin, Can Liu, Huamin Qu, Xinhuan Shu. DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models. IEEE Transactions on Visualization and Computer Graphics, 2026, 32(1): 824–834.
[6] Can Liu, Chunlin Da, Xiaoxiao Long, Yuxiao Yang, Yu Zhang, Yong Wang. SimVecVis: A Dataset for Enhancing MLLMs in Visualization Understanding. Proceedings of IEEE Visualization and Visual Analytics (VIS), 2025: 26–30.
[7] Yuhan Guo, Hanning Shao, Can Liu, Kai Xu, Xiaoru Yuan. PrompTHis: Visualizing the Process and Influence of Prompt Editing during Text-to-Image Creation. IEEE Transactions on Visualization and Computer Graphics, 2025, 31(9): 4547–4559.
[8] Can Liu, Yu Zhang, Cong Wu, Chen Li, Xiaoru Yuan. A Spatial Constraint Model for Manipulating Static Visualizations. ACM Transactions on Interactive Intelligent Systems, 2024, 14(2), Article 12: 1–29.
[9] Can Liu, Yuhan Guo, Xiaoru Yuan. AutoTitle: An Interactive Title Generator for Visualizations. IEEE Transactions on Visualization and Computer Graphics, 2024, 30(8): 5276–5288.
[10] Yu Zhang, Ruike Jiang, Liwenhan Xie, Yuheng Zhao, Can Liu, Tianhong Ding, Siming Chen, Xiaoru Yuan. OldVisOnline: Curating a Dataset of Historical Visualizations. IEEE Transactions on Visualization and Computer Graphics, 2024, 30(1): 551–561.
[11] Datong Wei, Can Liu, Xiaolong Zhang, Xiaoru Yuan. Understanding Transitions in Animated Bar Charts. Visual Intelligence, 2023, 1, Article 12: 1–15.
[12] Yuhan Guo, Qin Han, Yuke Lou, Yiming Wang, Can Liu, Xiaoru Yuan. Edit-History Vis: An Interactive Visual Exploration and Analysis on Wikipedia Edit History. Proceedings of IEEE Pacific Visualization Symposium (PacificVis), 2023: 157–166.
[13] 陶钧, 张宇, 陈晴, 刘灿, 陈思明, 袁晓如. 智能可视化与可视分析. 中国图象图形学报, 2023, 28(6): 1909–1926.
[14] Can Liu, Ruike Jiang, Datong Wei, Changhe Yang, Yanda Li, Fang Wang, Xiaoru Yuan. Deep Learning Approaches in Flow Visualization. Advances in Aerodynamics, 2022, 4, Article 17: 1–14.
[15] Can Liu, Yu Zhang, Cong Wu, Xiaoru Yuan. Direct Manipulation of Static Visualizations. Poster Proceedings of IEEE Pacific Visualization Symposium (PacificVis), （Poster）, 2022.
[16] 罗煜楚, 吴昊, 郭宇涵, 谭绍聪, 刘灿, 蒋瑞珂, 袁晓如. 数字人文中的可视化. 大数据, 2022, 8(6): 74–93.
[17] Can Liu, Yun Han, Ruike Jiang, Xiaoru Yuan. ADVISor: Automatic Visualization Answer for Natural-Language Question on Tabular Data. Proceedings of IEEE Pacific Visualization Symposium (PacificVis), 2021: 6–15.
[18] Can Liu, Cong Wu, Hanning Shao, Xiaoru Yuan. SmartCube: An Adaptive Data Management Architecture for the Real-Time Visualization of Spatiotemporal Datasets. IEEE Transactions on Visualization and Computer Graphics, 2020, 26(1): 790–799.
[19] Can Liu, Yanda Li, Changhe Yang, Xiaoru Yuan. Event-Based Exploration and Comparison on Time-Varying Ensembles. Journal of Visualization, 2020, 23(1): 111–123. （ChinaVis 2019 最佳论文奖提名）
[20] Can Liu, Liwenhan Xie, Yun Han, Datong Wei, Xiaoru Yuan. AutoCaption: An Approach to Generate Natural Language Description from Visualization Automatically. Proceedings of IEEE Pacific Visualization Symposium (PacificVis), 2020: 191–195.
[21] 刘灿, 赖楚凡, 蒋瑞珂, 李彦达, 杨昌和, 林志贤, 魏大同, 袁晓如. 深度学习驱动的可视化. 计算机辅助设计与图形学学报, 2020, 32(10): 1537–1548. （ChinaVis 2020 最佳综述论文奖）
[22] Chufan Lai, Zhixian Lin, Ruike Jiang, Yun Han, Can Liu, Xiaoru Yuan. Automatic Annotation Synchronizing with Textual Description for Visualization. Proceedings of ACM Conference on Human Factors in Computing Systems (CHI), 2020: 1–13.
[23] Can Liu, Liwenhan Xie, Yun Han, Xiaoru Yuan. Automatic Caption Generation for Visualization Charts. Poster Proceedings of IEEE Pacific Visualization Symposium (PacificVis), （Poster）, 2019. （最佳海报奖提名）
[24] Fan Hong, Can Liu, Xiaoru Yuan. DNN-VolVis: Interactive Volume Visualization Supported by Deep Neural Network. Proceedings of IEEE Pacific Visualization Symposium (PacificVis), 2019: 282–291.
[25] Changhe Yang, Yanda Li, Can Liu, Xiaoru Yuan. Deep Learning-Based Viewpoint Recommendation in Volume Visualization. Journal of Visualization, 2019, 22(5): 991–1003.
[26] Chufan Lai, Zhixian Lin, Can Liu, Yun Han, Ruike Jiang, Xiaoru Yuan. Automatic Annotation of Visualizations. Poster Proceedings of IEEE VIS, （Poster）, 2019. （最佳海报奖提名）
[27] Yun Han, Wentao Zhang, Sihang Li, Can Liu, Xiaoru Yuan. Automatic Answer and Visualization Generation for Tabular Data. Poster Proceedings of IEEE Pacific Visualization Symposium (PacificVis), （Poster）, 2019. （最佳海报奖）
[28] Can Liu, Yanda Li, Changhe Yang, Xiaoru Yuan. Interactive Visual Exploration and Comparison on the Effect of Asteroid Impacts. Proceedings of IEEE Scientific Visualization Conference (SciVis), （Poster）, 2018: 121–122.
[29] Fan Hong, Can Liu, Xiaoru Yuan. Goal-Oriented Volume Visualization through Deep Neural Networks. Poster Proceedings of China Visualization and Visual Analytics Conference (ChinaVis), （Poster）, 2018.
[30] Guoxiong Xu, Hongshi Huang, Can Liu, Zhengfei Wang, Wenxin Li, Shilei Liu. A Model for Medical Diagnosis Based on Plantar Pressure. Proceedings of the Ninth International Conference on Advances in Pattern Recognition (ICAPR), 2017: 1–6.
联系方式
电子邮箱：can.liu.@email.cn
