李观
李观
硕士生导师
岗位:副研究员
职务:
所属部门:先进交互式技术与应用发展部
学历:博士研究生
邮箱:liguan@cnic.cn
通讯地址:

学科专业(学术型/专业型):计算机应用技术/计算机技术

招生方向:

深度学习可解释可视分析(VIS4AI),智能可视分析(AI4VIS)

承担科研项目等情况

主要从事科学可视化、可视分析方向研究工作。主持国家自然科学基金青年科学基金项目,中国科学院特别研究助理资助项目。先后参与多个国家重点研发计划、国家大科学装置、上海市重大工程等科研项目。


代表论著

1. Guan Li ,Junpeng Wang ,Yang Wang ,Guihua Shan ,and Ying Zhao. An In-Situ Visual Analytics Framework for Deep Neural Networks. IEEE Transactions on Visualization and Computer Graphics ,2024.

2. Yihan Zhang ,Guan Li ,Runpu Yue ,Jun Liu ,and Guihua Shan. PEViz: An In-Situ Progressive Visual Analytics System for Ocean Ensemble Data. Journal of Visualization ,2023.

3. Xuyi Lu ,Yuan Xu ,Guan Li ,Yi Chen ,and Guihua Shan. MVST-SciVis: Narrative Visualization and Analysis of Compound Events in Scientific Data. Journal of Visualization ,2023.

4. Xiaoyang Han ,Xiaomin Yu ,Guan Li ,Jun Liu ,Ying Zhao ,and Guihua Shan. Narrative in-situ visual analysis for large-scale ocean eddy evolution. IEEE Computer Graphics and Applications ,2022.

5. Yihan Zhang ,Guan Li ,Guihua Shan. Time analysis of regional structure of large-scale particle using an interactive visual system. Visual Informatics ,2022.

6. Guan Li ,Junpeng Wang ,Han-Wei Shen ,Kaixin Chen ,Guihua Shan ,and Zhonghua Lu. CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics ,IEEE Transactions on Visualization and Computer Graphics ,2021

7. Xuyi Lu ,Guan Li ,Bo Yang ,Jun Liu ,and Guihua Shan. StreamFlow: a visual analysis system for 2D streamlines based on workflow mining technique. Journal of Visualization ,2021.

8. Runpu Yue ,Guan Li ,Xuyi Lu ,Sisi Li ,and Guihua Shan. EddyVis: A visual system to analyze eddies. Journal of Visualization ,2021.

9. Yifei An ,Han-Wei Shen ,Guihua Shan ,Guan Li ,and Jun Liu.STSRNet: Deep JointSpace-Time Super-Resolutionfor Vector Field Visualization. IEEE Computer Graphics and Applications ,2021.

10. Guan Li ,Jiayi Xu ,Tianchi Zhang ,Guihua Shan ,Han-Wei Shen ,Ko-Chih Wang ,Shihong Liao ,and Zhonghua Lu. Distribution-based Particle Data Reduction for In-situ Analysis and Visualization of Large-scale N-body Cosmological Simulations. 2020 IEEE Pacific Visualization Symposium