Can Liu
I am a Ph.D. student (since 2018) in the School of Electronics Engineering and Computer Science, Peking University under the supervision of Prof. Xiaoru Yuan. My research interest lies in deep learning-driven visualization.
In 2018, I received my Bachelor of Science from the School of EECS and Bachelor of Economics from the National School of Development at Peking University.

Featured Publications

ADVISor: Automatic Visualization Answer for Natural-Language Question on Tabular Data.
Can Liu, Yun Han, Ruike Jiang, Xiaoru Yuan. In Proceedings of IEEE Pacific Visualization Symposium. pages 6-15, Tianjin, China, Apr. 19-22, 2021.
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SmartCube: An Adaptive Data Management Architecture for the Real-Time Visualization of Spatiotemporal Datasets.
Can Liu, Cong Wu, Hanning Shao, Xiaoru Yuan. IEEE Transactions on Visualization and Computer Graphics (InfoVis'19). 26(1):790-799, 2020.
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DNN-VolVis: Interactive Volume Visualization Supported by Deep Neural Network.
Fan Hong, Can Liu, Xiaoru Yuan. In Proceedings of IEEE Pacific Visualization Symposium. pages 282-291, Bangkok, Thailand, Apr. 23-26, 2019.
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Automatic Annotation Synchronizing with Textual Description for Visualization.
Chufan Lai, Zhixian Lin, Ruike Jiang, Yun Han, Can Liu, Xiaoru Yuan. In Proceedings of ACM Conference on Human Factors in Computing Systems (CHI 2020). Honolulu, Hawai'i, USA, April 25-30, 2020.
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Visualization Driven by Deep Learning.
Can Liu, Chufan Lai, Ruike Jiang, Yanda Li, Changhe Yang, Zhixian Lin, Datong Wei, Xiaoru Yuan. Journal of Computer-Aided Design & Computer Graphics (ChinaVis '20) (In Chinese). 32(10):1537-1548, 2020.
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Featured Projects

SmartCube

We proposed an adaptive data management architecture for the real-time visualization of spatiotemporal datasets

Paper
DNN-VolVis

We Proposed A Deep Learning-Based Volume Rendering Pipeline.

Paper
Asteroid Visualization

We designed a visual analytics system for analyzing the impact of different asteroids.

Paper
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