1.數(shù)字地球網(wǎng)絡(luò)化服務(wù)系統(tǒng), 主持, 部委級, 2018.01--2022.12
2.多尺度協(xié)同的可視化與人機交互環(huán)境, 主持, 部委級, 2020.01--2020.12
3.地球系統(tǒng)數(shù)值模擬裝置可視化分系統(tǒng), 主持, 國家級, 2020.08--2023.08
4.判斷決策的AI形象化表達及可解釋AI過程仿真, 主持, 國家級, 2020.11--2023.11
5.超大規(guī)模宇宙學模擬并行計算與可視化系統(tǒng)，主持，國家級，2017.11-2021.11
Lu, Xuyi, Xu, Yuan, Li, Guan, Chen, Yi, Shan, Guihua*. MVST-SciVis: narrative visualization and analysis of compound events in scientific data. JOURNAL OF VISUALIZATION[J]. 2023, 26(3): 687-703
Yihan Zhang, Guan Li, Runpu Yue, Jun Liu, Guihua Shan:PEViz: an in situ progressive visual analytics system for ocean ensemble data. J. Vis. 26(2): 423-440 (2023)
Xuyi Lu, Guan Li, Bo Yang, Jun Liu, Guihua Shan*:StreamFlow: a visual analysis system for 2D streamlines based on workflow mining technique. J. Vis. 25(2): 307-323 (2022)
Shiyu Cheng, Xiaochen Li, Guihua Shan*, Beifang Niu, Yang Wang, Maokang Luo:ACMViz: a visual analytics approach to understand DRL-based autonomous control model. J. Vis. 25(2): 427-442 (2022)
Runpu Yue, Guan Li, Xuyi Lu, Sisi Li, Guihua Shan*:EddyVis: A visual system to analyze eddies. J. Vis. 25(3): 521-541 (2022)
Yihan Zhang, Guan Li, Guihua Shan*:Time analysis of regional structure of large-scale particle using an interactive visual system. Vis. Informatics 6(2): 14-24 (2022)
Xiaoyang Han, Xiaomin Yu, Guan Li, Jun Liu, Ying Zhao, Guihua Shan:Narrative In Situ Visual Analysis for Large-Scale Ocean Eddy Evolution. IEEE Computer Graphics and Applications 42(3): 65-73 (2022)
Yifei An, Han-Wei Shen, Guihua Shan*, Guan Li, Jun Liu:STSRNet: Deep Joint Space-Time Super-Resolution for Vector Field Visualization. IEEE Computer Graphics and Applications 41(6): 122-132 (2021)
Cheng Shiyu, Shen Hanwei,Shan Guihua* , Niu Beifang, Bai Weihua. Visual analysis of meteorological satellite data via model-agnostic meta-learning. Journal of Visualization, 2021. Vol 24, 301–315,2021；
Chen Kaixin, Wang Yang, Yu Minzhu, Shen Hanwei, Yu Xiaomin, Shan Guihua*. ConfVisExplorer: a literature-based visual analysis system for conference comparison. Journal of Visualization, Vol 24, 381–395,2021；
Guan Li, Junpeng Wang, Han-Wei Shen, Kaixin Chen, Guihua Shan*, Zhonghua Lu:
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics. IEEE Trans. Vis. Comput. Graph. 27(2): 1364-1373 (2021)
Xiaoyang Han, Han-Wei Shen, Guan Li, Xuyi Lu, Guihua Shan , Yangang Wang:
IVDAS: an interactive visual design and analysis system for image data symmetry detection of CNN models. J. Vis. 24(3): 615-629 (2021)
Guan Li, Jiayi Xu, Tianchi Zhang, Guihua Shan*, Han-Wei Shen, Ko-Chih Wang, Shihong Liao, and Zhonghua Lu.2020.“Distribution-Based Particle Data Reduction for In-Situ Analysis and Visualization of Large-Scale N-Body Cosmological Simulations.” IEEE Pacific Visualization Symposium (PacificVis),171–80 2020.
Lun Liu, Yang Gao, Guihua Shan, Xuebin Chi:
VASEM: visual analytics system for electron microscopy data bank. J. Vis. 22(6): 1145-1159 (2019)
Yang Wang; Minzhu Yu; Guihua Shan*; Han-Wei Shen; Zhonghua Lu, VISPubComPAS: a comparative analytical system for visualization publication data, Journal of Visualization, Vol 22, 941-953,2019；
Shiyu Cheng; Guihua Shan*; Jun Liu; Yang Gao; Ping Wei; Weihua Bai; Danyang Zhao, OccVis: a visual analytics system for occultation data, Journal of Visualization, Vol 22, 609-624,2019