Distribution-based Particle Data Reduction for In-situ Analysis and Visualization of Large-scale N-body Cosmological Simulations. - Guan Li 002; Jiayi Xu 001; Tianchi Zhang 003; Guihua Shan; Han-Wei Shen; Ko-Chih Wang; Shihong Liao; Zhonghua Lu (PacificVis, 2020)

STSRNet: Deep Joint Space-Time Super-Resolution for Vector Field Visualization. - Yifei An; Han-Wei Shen; Guihua Shan; Guan Li 002; Jun Liu 059 (IEEE Computer Graphics and Applications, 2021)

IVDAS: an interactive visual design and analysis system for image data symmetry detection of CNN models. - Xiaoyang Han; Han-Wei Shen; Guan Li 002; Xuyi Lu; Guihua Shan; Yangang Wang 002 (J. Vis., 2021)

CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics. - Guan Li 002; Junpeng Wang 001; Han-Wei Shen; Kaixin Chen 004; Guihua Shan; Zhonghua Lu (IEEE Trans. Vis. Comput. Graph., 2021)

Narrative In Situ Visual Analysis for Large-Scale Ocean Eddy Evolution. - Xiaoyang Han; Xiaomin Yu; Guan Li 002; Jun Liu 059; Ying Zhao 001; Guihua Shan (IEEE Computer Graphics and Applications, 2022)

StreamFlow: a visual analysis system for 2D streamlines based on workflow mining technique. - Xuyi Lu; Guan Li 002; Bo Yang 028; Jun Liu 059; Guihua Shan (J. Vis., 2022)

EddyVis: A visual system to analyze eddies. - Runpu Yue; Guan Li 002; Xuyi Lu; Sisi Li; Guihua Shan (J. Vis., 2022)

Time analysis of regional structure of large-scale particle using an interactive visual system. - Yihan Zhang; Guan Li 002; Guihua Shan (Vis. Informatics, 2022)

PEViz: an in situ progressive visual analytics system for ocean ensemble data. - Yihan Zhang; Guan Li 002; Runpu Yue; Jun Liu 059; Guihua Shan (J. Vis., 2023)

MVST-SciVis: narrative visualization and analysis of compound events in scientific data. - Xuyi Lu; Yuan Xu; Guan Li 002; Yi Chen; Guihua Shan (J. Vis., 2023)

SampleViz: Concept based Sampling for Policy Refinement in Deep Reinforcement Learning. - Zhaohui Liang; Guan Li 002; Ruiqi Gu; Yang Wang 121; Guihua Shan (PacificVis, 2024)

An In-Situ Visual Analytics Framework for Deep Neural Networks. - Guan Li 002; Junpeng Wang 001; Yang Wang 121; Guihua Shan; Ying Zhao 001 (IEEE Trans. Vis. Comput. Graph., 2024)

A Visual Analysis Approach for Deep Learning-based Precipitation Forecasting. - Xuyi Lu; Guan Li 002; Ya Wang; Yu Dong 001; Dong Tian; Guihua Shan (PacificVis, 2025)

In Situ Workload Estimation for Block Assignment and Duplication in Parallelization-Over-Data Particle Advection. - Zhe Wang 059; Kenneth Moreland; Matthew Larsen; James Kress; Hank Childs; Guan Li 002; Guihua Shan; David Pugmire (Comput. Graph. Forum, 2025)

ParamsDrag: Interactive Parameter Space Exploration via Image-Space Dragging. - Guan Li 002; Yang Liu 469; Guihua Shan; Shiyu Cheng; Weiqun Cao; Junpeng Wang 001; Ko-Chih Wang (IEEE Trans. Vis. Comput. Graph., 2025)

(Chinavis 2024) TextLens: large language models-powered visual analytics enhancing text clustering. - Ruixiao Peng; Yu Dong 001; Guan Li 002; Dong Tian; Guihua Shan (J. Vis., 2025)

Correction: TextLens: large language models powered visual analytics enhancing text clustering. - Ruixiao Peng; Yu Dong 001; Guan Li 002; Dong Tian; Guihua Shan (J. Vis., 2025)

T2VTree: User-Centered Visual Analytics for Agent-Assisted Thought-to-Video Authoring. - Zhuoyun Zheng; Yu Dong 001; Gaorong Liang; Guan Li 002; Guihua Shan; Shiyu Cheng; Dong Tian; Jianlong Zhou; Jie Liang 004 (PacificVis, 2026)

CD-TVD: Contrastive Diffusion for 3D Super-Resolution with Scarce High-Resolution Time-Varying Data. - Chongke Bi; Xin Gao; Jiakang Deng; Guan Li 002; Jun Han 010 (IEEE Trans. Vis. Comput. Graph., 2026)

Toward Reliable Scientific Visualization Pipeline Construction with Structure-Aware Retrieval-Augmented LLMs. - Guanghui Zhao; Zhe Wang 059; Yu Dong 001; Guan Li 002; Guihua Shan (CoRR, 2026)

Temporalflowviz: parameter-aware visual analytics for interpreting scramjet combustion evolution. - Yifei Jia; Shiyu Cheng; Yu Dong 001; Guan Li 002; Dong Tian; Ruixiao Peng; Xuyi Lu; Yu Wang; Wei Yao; Guihua Shan (J. Vis., 2026)