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Ko-Chih Wang
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2020 – today
- 2025
- [j9]Guan Li, Yang Liu, Guihua Shan, Shiyu Cheng, Weiqun Cao, Junpeng Wang, Ko-Chih Wang:
ParamsDrag: Interactive Parameter Space Exploration via Image-Space Dragging. IEEE Trans. Vis. Comput. Graph. 31(1): 624-634 (2025) - 2024
- [j8]Zhi-Rong Lin, An-Lung Hsiao, Guan Li, Ko-Chih Wang:
Distribution-Based Time-Varying Ensemble Scientific Data Reduction for Uncertainty Visualization and Analysis. J. Inf. Sci. Eng. 40(2): 397-419 (2024) - [c5]Nathania Josephine, Yi-Ju Lee, Pei-Chen Chang, Hsiang-Han Chen, Ko-Chih Wang:
SG-RAD: A Visual Analytics System in Subgroup and Risk Factors Analysis and Discovery. PacificVis 2024: 331-336 - [i5]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:
Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip Connections. CoRR abs/2403.17847 (2024) - [i4]Guan Li, Yang Liu, Guihua Shan, Shiyu Cheng, Weiqun Cao, Junpeng Wang, Ko-Chih Wang:
ParamsDrag: Interactive Parameter Space Exploration via Image-Space Dragging. CoRR abs/2407.14100 (2024) - [i3]Rohit Das, Tzung-Han Lin, Ko-Chih Wang:
3D-GANTex: 3D Face Reconstruction with StyleGAN3-based Multi-View Images and 3DDFA based Mesh Generation. CoRR abs/2410.16009 (2024) - 2023
- [j7]Jing-Ru Sun, Nathania Josephine, Chao Wang
, Ko-Chih Wang
Interactive Occlusion-Free System for Accessible Volume Exploration. IEEE Access 11: 86544-86560 (2023) - 2022
- [j6]Cheng Sun
DLA-VPS: Deep-Learning-Assisted Visual Parameter Space Analysis of Cosmological Simulations. IEEE Computer Graphics and Applications 42(3): 41-52 (2022) - [j5]Pei-Shan Lo, Jian-Lin Wu, Syu-Ting Deng, Ko-Chih Wang
CNERVis: a visual diagnosis tool for Chinese named entity recognition. J. Vis. 25(3): 653-669 (2022) - 2021
- [j4]Hao-Yi Yang, Zhi-Rong Lin, Ko-Chih Wang
Efficient and Portable Distribution Modeling for Large-Scale Scientific Data Processing with Data-Parallel Primitives. Algorithms 14(10): 285 (2021) - 2020
- [j3]Wenbin He, Junpeng Wang, Hanqi Guo
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations. IEEE Trans. Vis. Comput. Graph. 26(1): 23-33 (2020) - [j2]Subhashis Hazarika, Haoyu Li
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. IEEE Trans. Vis. Comput. Graph. 26(1): 34-44 (2020) - [j1]Ko-Chih Wang
Ray-Based Exploration of Large Time-Varying Volume Data Using Per-Ray Proxy Distributions. IEEE Trans. Vis. Comput. Graph. 26(11): 3299-3313 (2020) - [c4]Guan Li, Jiayi Xu
Distribution-based Particle Data Reduction for In-situ Analysis and Visualization of Large-scale N-body Cosmological Simulations. PacificVis 2020: 171-180
2010 – 2019
- 2019
- [c3]Ko-Chih Wang, Jiayi Xu
Statistical Super Resolution for Data Analysis and Visualization of Large Scale Cosmological Simulations. PacificVis 2019: 303-312 - [i2]Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou:
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. CoRR abs/1904.09044 (2019) - [i1]Wenbin He
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations. CoRR abs/1908.00407 (2019) - 2018
- [c2]Ko-Chih Wang, Naeem Shareef, Han-Wei Shen:
Image and Distribution Based Volume Rendering for Large Data Sets. PacificVis 2018: 26-35 - 2017
- [c1]Ko-Chih Wang, Kewei Lu, Tzu-Hsuan Wei, Naeem Shareef, Han-Wei Shen:
Statistical visualization and analysis of large data using a value-based spatial distribution. PacificVis 2017: 161-170
Coauthor Index
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