Can Liu 刘灿

Ph.D., B.S., B.E.

Google Scholar: user=c_qeUtUAAAAJ
https://vvoliucano.github.io/

can.liu.1996@gmail.com

Education

Ph.D. in Science, Peking University

2018 - 2023

In School of Intelligence Science and Technology, Peking University.

Bachelor of Science, Peking University

2014 - 2018

In School of Electronic Engineering and Computer Science, Peking University.

Bachelor of Economics, Peking University

2015 - 2018

In National School of Development, Peking University.

Research Statement

My research interest lies in the field of intelligent data visualization processes, which includes intelligent human-computer interaction, efficient data management frameworks for interactive visualization, and machine learning-driven scientific visualization. Specifically, my work encompasses QA-based visualization construction [C-1, S-2], visualization natural language content generation [J-1, C-5], visualization auto-interaction [S-1, S-5], adaptive data management framework [J-2], and machine learning-driven volume rendering [C-3, J-6].

Representative Work:

We proposed an adaptive large-scale spatio-temporal data management method based on user behavior. This approach achieves real-time interactive visualization with low latency and storage occupancy for large-scale spatio-temporal data. The data structure is updated adaptively according to the user's query. In various spatio-temporal data tasks, the memory occupancy is only one-fifth of the state method under the comparable delay.
We proposed a deep learning-based question-answering visualization construction method. This method is the first to introduce deep learning for parsing and visualization generation in natural language-driven visualization construction processes, expanding the range of natural language support. The scope of application and parsing accuracy surpasses the state-of-the-art methods and commercial software.
We proposed a deep learning-based automatic description method for visualization charts. This approach is the first deep learning-based end-to-end method that converts visualizations into descriptive facts. A one-dimensional convolutional residual network is introduced to accept data attributes and visual information as inputs, analyze the relationships between visual elements, and identify the significant features of visualization charts. The generated description effectively covers the key features of the charts.

Publications

Journal

J-1

Can Liu, Yu Zhang, Cong Wu, Chen Li, Xiaoru Yuan. A Spatial-Constraint Model for Activating Static Visualizations. ACM Transactions on Intelligent Interactive Systems. 14(2):1-29, 2024.

J-2

Can Liu, Yuhan Guo, Xiaoru Yuan. AutoTitle: An Interactive Title Generator for Visualizations. IEEE Transactions on Visualization and Computer Graphics. 30(8):5276-5288, 2023.

J-3

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. 26(1):790-799, 2020.

J-4

Can Liu, Yanda Li, Changhe Yang, Xiaoru Yuan. Event-Based Exploration and Comparison on Time-Varying Ensembles. Journal of Visualization (ChinaVis’19, Honorable Mention for Best Paper Award). 23(1):111-123, 2020.

J-5

Can Liu, Ruike Jiang, Datong Wei, Changhe Yang, Yanda Li, Fang Wang, Xiaoru Yuan. Deep Learning Approaches in Flow Visualization. Advances in Aerodynamics. 4(17):1-14, 2022.

J-6

Can Liu, Chufan Lai, Ruike Jiang, Yanda Li, Changhe Yang, Zhixian Lin, Datong Wei, Xiaoru Yuan. Visualization Driven by Deep Learning. Journal of Computer-Aided Design & Computer Graphics (ChinaVis '20) (In Chinese). 32(10):1537-1548, 2020.

J-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. Early access. 2024.

J-8

Datong Wei, Can Liu, Xiaolong Zhang, Xiaoru Yuan. Understanding Transitions in Animated Bar Charts. Visual Intelligence. 1(12):1-15, 2023.

J-9

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.. 30(1):551-561, 2023.

J-10

Changhe Yang, Yanda Li, Can Liu, Xiaoru Yuan. Deep Learning-Based Viewpoint Recommendation in Volume Visualization. Journal of Visualization. 22(5):991-1003, 2019.

J-11

Jun Tao, Yu Zhang, Qing Chen, Can Liu, Siming Chen, Xiaoru Yuan. Intelligent Visualization and Visual Analytics. Journal of Image and Graphics (In Chinese). 2023.

J-12

Yuchu Luo, Hao Wu, Yuhan Guo, Shaocong Tan, Can Liu, Xiaoru Yuan. Visualization in digital humanities. Big Data Research (In Chinese). 8(6):74-93, 2022.

Conference

C-1

Can Liu, Yun Han, Ruike Jiang, Xiaoru Yuan. ADVISor: Automatic Visualization Answer for Natural-Language Question on Tabular Data. In Proceedings of IEEE Pacific Visualization Symposium. pages 6-15, Tianjin, China, Apr. 19-22, 2021.

C-2

Can Liu, Liwenhan Xie, Yun Han, Datong Wei, Xiaoru Yuan. AutoCaption: An Approach to Generate Natural Language Description from Visualization Automatically. In Proceedings of IEEE Pacific Visualization Symposium. pages 191-195, Tianjin, China, June 3-5, 2020.

C-3

Chufan Lai, Zhixian Lin, Ruike Jiang, Yun Han, Can Liu, Xiaoru Yuan. Automatic Annotation Synchronizing with Textual Description for Visualization. In Proceedings of ACM Conference on Human Factors in Computing Systems (CHI 2020). Honolulu, Hawai'i, USA, April 25-30, 2020.

C-4

Fan Hong, Can Liu, Xiaoru Yuan. DNN-VolVis: Interactive Volume Visualization Supported by Deep Neural Network. In Proceedings of IEEE Pacific Visualization Symposium. pages 282-291, Bangkok, Thailand, Apr. 23-26, 2019.

C-5

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. In Proceedings of IEEE Pacific Visualization Symposium. pages 157-166, Seoul, South Korea, Apr. 18-21, 2023, accepted.

Poster

P-1

Can Liu, Yu Zhang, Cong Wu, Xiaoru Yuan. Direct Manipulation of Static Visualizations. In Poster Proceedings of IEEE Pacific Visualization Symposium. Online, Apr. 11-14, 2022.

P-2

Can Liu, Liwenhan Xie, Yun Han, Xiaoru Yuan. Automatic Caption Genertion for SVG Charts. In Poster Proceedings of IEEE Pacific Visualization Symposium (Honorable Mention for Best Poster Award). Bangkok, Thailand, Apr. 23-26, 2019.

P-3

Can Liu, Yanda Li, Changhe Yang, Xiaoru Yuan. Interactive Visual Exploration and Comparison on the Effect of Asteroid Impacts. In Poster Proceedings of IEEE SciVis (Best Visualization of Water in Atmosphere, SciVis Contest). Berlin, German, Oct. 21-26, 2018.

P-4

Chufan Lai, Zhixian Lin, Can Liu, Yun Han, Ruike Jiang, Xiaoru Yuan. Automatic Annotation of Visualizations. In Poster Proceedings of IEEE VIS (Honorable Mention for Best Poster Award). Vancouver, Canada, Oct. 20-25, 2019.

P-5

Yun Han, Wentao Zhang, Sihang Li, Can Liu, Xiaoru Yuan. Automatic Answer and Visualization Generation for Tabular Data. In Poster Proceedings of IEEE Pacific Visualization Symposium (Best Poster Award). Bangkok, Thailand, Apr. 23-26, 2019.

P-6

Fan Hong, Can Liu, Xiaoru Yuan. Goal-Oriented Volume Visualization through Deep Neural Networks. In Poster Proceedings of China Visualization and Visual Analytics Conference. Shanghai, China, June. 25-28, 2018.

Patents

2023

Xiaoru Yuan, Can Liu, Xiyao Mei, Shaocong Tan. A method and system for generate legends for visualization. 202311478902.1.

2022

Xiaoru Yuan, Can Liu, Ruike Jiang, Jie Liang. A method and system for constructing visualization charts based on natural language. 202211724285.4.

2022

Xiaoru Yuan, Can Liu, Yu Zhang, Cong Wu, Chen Li. A method and system for adding direct interaction to static visualization charts. 202211742307.X.

Awards

2020

ChinaVIS: Best Survey Award

For "Visualization Driven by Deep Learning".

2019

IEEE VIS: Honorable Mention for Best Poster Award

For "Automatic Annotation of Visualizations".

2019

ChinaVIS: Honorable Mention for Best Paper Award

For "Event-Based Exploration and Comparison on Time-Varying Ensembles".

2019

IEEE PacificVis: Best Poster Award

For "Automatic Answer and Visualization Generation for Tabular Data".

2019

IEEE PacificVis: Honorable Mention for Best Poster Award

For "Automatic Caption Generation for SVG Charts".

2018

IEEE VIS Scivis Contest: Best Visualization of Water in Atmosphere

For "Interactive Visual Exploration and Comparison on the Effect of Asteroid Impacts".

Talks

"Intelligent Visualization Natural Interaction". Nanjing Normal University. Nanjing, China. Dec., 2023.

"Intelligent Visualization Natural Authoring". Hongkong University of Science and Technology. Hongkong, China. Dec., 2023.

"Visualization Natural Language Interaction Based on Machine Learning". China Visualization and Visual Analytics Conference. Chongqing, China. Jul., 2023.

"Intelligent Natural Language Interaction for Visualization". China R Conference. Beijing, China. Nov., 2022.

"ADVISor: Automatic Visualization Answer for Natural-Language Question on Tabular Data". IEEE Pacific Visualization Symposium. Online. Apr., 2021.

"Visualization Driven by Deep Learning". China Visualization and Visual Analytics Conference. Wuhan, China. Jul., 2020.

"AutoCaption: An Approach to Generate Natural Language Description from Visualization Automatically". IEEE Pacific Visualization Symposium. Online. Oct., 2020.

"SmartCube: An Adaptive Data Management Architecture for the Real-Time Visualization of Spatiotemporal Datasets". IEEE Visualization Conference. Vancouver, Canada. Oct., 2019.

"An Adaptive Data Management for Large Spatial-Temporal Visualization". China Visualization and Visual Analytics Conference. Chengdu, China. Jul., 2019.

"Event-Based Exploration and Comparison on Time-Varying Ensembles". China Visualization and Visual Analytics Conference. Chengdu, China. Jul., 2019.

"DNN-VolVis: Interactive Volume Visualization Supported by Deep Neural Network". IEEE Pacific Visualization Symposium. Bangkok, Thailand. Apr., 2019.

Teaching

Invited Speaker: Visualization Graduate Summer School, Peking University

Summer, 2023

Teaching Assistant: Data Visualization, Peking University

Fall, 2020

Teaching Assistant: Visualization Graduate Summer School, Peking University

Summer, 2019

Teaching Assistant: Introduction to Visualization and Visual Computing, Peking University

Fall, 2018

Teaching Assistant: Visualization Graduate Summer School, Peking University

Summer, 2018

Academic Services

Program committee Member: ACM Conference on Intelligent User Interfaces (IUI) 2025, IEEE Symposium on Pacific Visualization Notes 2024.

Journal Reviewer: IEEE Transactions on Visualization and Graphics (TVCG), Journal of Visualization.

Conference Reviewer: IEEE Visualization Conference (IEEE VIS) 2020-2022, ACM Conference on Human Factors in Computing Systems 2020-2023, Eurographics/IEEE-VGTC Symposium on Visualization 2022, IEEE Symposium on Pacific Visualization 2020-2023, China Visualization and Visual Analytics Conference 2019-2022.

Conference Volunteer: IEEE Visualization Conference (IEEE VIS) 2019, China Visualization and Visual Analytics Conference 2019-2021.