Statistical visualization and analysis of large data using a value-based spatial distribution. - Ko-Chih Wang; Kewei Lu; Tzu-Hsuan Wei; Naeem Shareef; Han-Wei Shen (PacificVis, 2017)

Image and Distribution Based Volume Rendering for Large Data Sets. - Ko-Chih Wang; Naeem Shareef; Han-Wei Shen (PacificVis, 2018)

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)

NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. - Subhashis Hazarika; Haoyu Li; Ko-Chih Wang; Han-Wei Shen; Ching-Shan Chou (IEEE Trans. Vis. Comput. Graph., 2020)

InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations. - Wenbin He; Junpeng Wang 001; Hanqi Guo 001; Ko-Chih Wang; Han-Wei Shen; Mukund Raj; Youssef S. G. Nashed; Tom Peterka (IEEE Trans. Vis. Comput. Graph., 2020)

Ray-Based Exploration of Large Time-Varying Volume Data Using Per-Ray Proxy Distributions. - Ko-Chih Wang; Tzu-Hsuan Wei; Naeem Shareef; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2020)

Efficient and Portable Distribution Modeling for Large-Scale Scientific Data Processing with Data-Parallel Primitives. - Hao-Yi Yang; Zhi-Rong Lin; Ko-Chih Wang (Algorithms, 2021)

DLA-VPS: Deep-Learning-Assisted Visual Parameter Space Analysis of Cosmological Simulations. - Cheng Sun; Ko-Chih Wang (IEEE Computer Graphics and Applications, 2022)

CNERVis: a visual diagnosis tool for Chinese named entity recognition. - Pei-Shan Lo; Jian-Lin Wu; Syu-Ting Deng; Ko-Chih Wang (J. Vis., 2022)

Interactive Occlusion-Free System for Accessible Volume Exploration. - Jing-Ru Sun; Nathania Josephine; Chao Wang 052; Ko-Chih Wang (IEEE Access, 2023)

SG-RAD: A Visual Analytics System in Subgroup and Risk Factors Analysis and Discovery. - Nathania Josephine; Yi-Ju Lee; Pei-Chen Chang; Hsiang-Han Chen; Ko-Chih Wang (PacificVis, 2024)

Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip Connections. - Chia-Hao Chiang; Zheng-Han Huang; Liwen Liu; Hsin-Chien Liang; Yi-Chi Wang; Wan-Ling Tseng; Chao Wang; Che-Ta Chen; Ko-Chih Wang (CoRR, 2024)

3D-GANTex: 3D Face Reconstruction with StyleGAN3-based Multi-View Images and 3DDFA based Mesh Generation. - Rohit Das; Tzung-Han Lin; Ko-Chih Wang (CoRR, 2024)

Distribution-Based Time-Varying Ensemble Scientific Data Reduction for Uncertainty Visualization and Analysis. - Zhi-Rong Lin; An-Lung Hsiao; Guan Li; Ko-Chih Wang (J. Inf. Sci. Eng., 2024)

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