Ko-Chih Wang

According to our database, Ko-Chih Wang authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., March, 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

2023

Interactive Occlusion-Free System for Accessible Volume Exploration.

Jing-Ru Sun, Nathania Josephine, Chao Wang, Ko-Chih Wang

IEEE Access, 2023

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

DLA-VPS: Deep-Learning-Assisted Visual Parameter Space Analysis of Cosmological Simulations.

Cheng Sun, Ko-Chih Wang

IEEE Computer Graphics and Applications, 2022

2021

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

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

InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations.

Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka

IEEE Trans. Vis. Comput. Graph., 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

Distribution-based Particle Data Reduction for In-situ Analysis and Visualization of Large-scale N-body Cosmological Simulations.

Guan Li, Jiayi Xu, Tianchi Zhang, Guihua Shan, Han-Wei Shen, Ko-Chih Wang, Shihong Liao, Zhonghua Lu

Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2019

Statistical Super Resolution for Data Analysis and Visualization of Large Scale Cosmological Simulations.

Ko-Chih Wang, Jiayi Xu, Jonathan Woodring, Han-Wei Shen

Proceedings of the IEEE Pacific Visualization Symposium, 2019

2018

Image and Distribution Based Volume Rendering for Large Data Sets.

Ko-Chih Wang, Naeem Shareef, Han-Wei Shen

Proceedings of the IEEE Pacific Visualization Symposium, 2018

2017

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

Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017