A Visual Analysis Approach for Community Detection of Multi-Context Mobile Social Networks. - Yu-Xin Ma; Jiayi Xu 001; Dichao Peng; Ting Zhang; Cheng-Zhe Jin; Huamin Qu; Wei Chen 001; Qunsheng Peng 001 (J. Comput. Sci. Technol., 2013)

TelCoVis: Visual Exploration of Co-occurrence in Urban Human Mobility Based on Telco Data. - Wenchao Wu; Jiayi Xu 001; Haipeng Zeng; Yixian Zheng; Huamin Qu; Bing Ni; Mingxuan Yuan; Lionel M. Ni (IEEE Trans. Vis. Comput. Graph., 2016)

EasySVM: A visual analysis approach for open-box support vector machines. - Yuxin Ma; Wei Chen 001; Xiaohong Ma; Jiayi Xu 001; Xinxin Huang; Ross Maciejewski; Anthony K. H. Tung (Comput. Vis. Media, 2017)

A visual analytical approach for transfer learning in classification. - Yuxin Ma; Jiayi Xu 001; Xiangyang Wu 001; Fei Wang 016; Wei Chen 001 (Inf. Sci., 2017)

Spatio-temporal flow maps for visualizing movement and contact patterns. - Bing Ni; Qiaomu Shen; Jiayi Xu 001; Huamin Qu (Vis. Informatics, 2017)

Statistical Super Resolution for Data Analysis and Visualization of Large Scale Cosmological Simulations. - Ko-Chih Wang; Jiayi Xu 001; Jonathan Woodring; Han-Wei Shen (PacificVis, 2019)

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

Distributed Asynchronous Union-Find for Scalable Feature Tracking. - Jiayi Xu 001; Hanqi Guo 001; Han-Wei Shen; Mukund Raj; Xueqiao Xu; Xueyun Wang; Zhehui Wang; Tom Peterka (CoRR, 2020)

FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. - Hanqi Guo 001; David Lenz 002; Jiayi Xu 001; Xin Liang 001; Wenbin He; Iulian R. Grindeanu; Han-Wei Shen; Tom Peterka; Todd S. Munson; Ian T. Foster (CoRR, 2020)

KeywordMap: Attention-based Visual Exploration for Keyword Analysis. - Yamei Tu; Jiayi Xu 001; Han-Wei Shen (PacificVis, 2021)

IExchange: Asynchronous Communication and Termination Detection for Iterative Algorithms. - Dmitriy Morozov; Tom Peterka; Hanqi Guo 001; Mukund Raj; Jiayi Xu 001; Han-Wei Shen (LDAV, 2021)

Deep Hierarchical Super-Resolution for Scientific Data Reduction and Visualization. - Skylar W. Wurster; Han-Wei Shen; Hanqi Guo 001; Thomas Peterka; Mukund Raj; Jiayi Xu 001 (CoRR, 2021)

FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. - Hanqi Guo 001; David Lenz 002; Jiayi Xu 001; Xin Liang 001; Wenbin He; Iulian R. Grindeanu; Han-Wei Shen; Tom Peterka; Todd S. Munson; Ian T. Foster (IEEE Trans. Vis. Comput. Graph., 2021)

Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis. - Jiayi Xu 001; Hanqi Guo 001; Han-Wei Shen; Mukund Raj; Xueyun Wang; Xueqiao Xu; Zhehui Wang; Tom Peterka (IEEE Trans. Vis. Comput. Graph., 2021)

GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations. - Neng Shi; Jiayi Xu 001; Skylar W. Wurster; Hanqi Guo 001; Jonathan Woodring; Luke P. Van Roekel; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2022)

Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers. - Jiayi Xu 001; Soumya Dutta; Wenbin He; Joachim Moortgat; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2022)

VMap: An Interactive Rectangular Space-filling Visualization for Map-like Vertex-centric Graph Exploration. - Jiayi Xu 001; Han-Wei Shen (CoRR, 2023)

IDLat: An Importance-Driven Latent Generation Method for Scientific Data. - Jingyi Shen; Haoyu Li; Jiayi Xu 001; Ayan Biswas; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2023)

VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations. - Neng Shi; Jiayi Xu 001; Haoyu Li; Hanqi Guo 001; Jonathan Woodring; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2023)

Visual Analytics on Network Forgetting for Task-Incremental Learning. - Ziwei Li; Jiayi Xu 001; Wei-Lun Chao; Han-Wei Shen (Comput. Graph. Forum, 2023)

Reinforcement Learning for Load-Balanced Parallel Particle Tracing. - Jiayi Xu 001; Hanqi Guo 001; Han-Wei Shen; Mukund Raj; Skylar W. Wurster; Tom Peterka (IEEE Trans. Vis. Comput. Graph., 2023)

Deep Hierarchical Super Resolution for Scientific Data. - Skylar W. Wurster; Hanqi Guo 001; Han-Wei Shen; Tom Peterka; Jiayi Xu 001 (IEEE Trans. Vis. Comput. Graph., 2023)