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Jixian Li
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2020 – today
- 2024
- [c8]Mengjiao Han, Jixian Li, Sudhanshu Sane, Shubham Gupta, Bei Wang, Steve Petruzza, Chris R. Johnson:
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks. PacificVis 2024: 52-61 - [c7]Mengjiao Han, Tushar M. Athawale, Jixian Li, Chris R. Johnson:
Accelerated Depth Computation for Surface Boxplots with Deep Learning. UncertaintyVis@VIS 2024: 38-42 - [c6]Timbwaoga A. J. Ouermi, Jixian Li, Tushar M. Athawale, Chris R. Johnson:
Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods. UncertaintyVis@VIS 2024: 51-61 - [c5]Timbwaoga A. J. Ouermi, Jixian Li, Zachary Morrow, Bart G. van Bloemen Waanders, Chris R. Johnson:
Glyph-Based Uncertainty Visualization and Analysis of Time-Varying Vector Fields. UncertaintyVis@VIS 2024: 73-77 - [c4]Jixian Li, Timbwaoga A. J. Ouermi, Chris R. Johnson:
Visualizing Uncertainties in Ensemble Wildfire Forecast Simulations. UncertaintyVis@VIS 2024: 84-88 - [c3]Sangwon Jeong, Jixian Li, Chris R. Johnson, Shusen Liu, Matthew Berger:
Text-based transfer function design for semantic volume rendering. IEEE VIS 2024: 196-200 - [i8]Sangwon Jeong, Jixian Li, Christopher Johnson, Shusen Liu, Matthew Berger:
Text-based Transfer Function Design for Semantic Volume Rendering. CoRR abs/2406.15634 (2024) - [i7]Timbwaoga A. J. Ouermi, Jixian Li, Zachary Morrow, Bart G. van Bloemen Waanders, Christopher R. Johnson:
Glyph-Based Uncertainty Visualization and Analysis of Time-Varying Vector Fields. CoRR abs/2409.00042 (2024) - [i6]Timbwaoga A. J. Ouermi, Jixian Li, Tushar M. Athawale, Christopher R. Johnson:
Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods. CoRR abs/2409.00043 (2024) - 2023
- [j4]Shan Guan, Zhen Yuan, Fuwang Wang, Jixian Li, Xiaogang Kang, Bin Lu:
Multi-class Motor Imagery Recognition of Single Joint in Upper Limb Based on Multi-domain Feature Fusion. Neural Process. Lett. 55(7): 8927-8945 (2023) - [i5]Mengjiao Han, Jixian Li, Sudhanshu Sane, Shubham Gupta, Bei Wang, Steve Petruzza, Chris R. Johnson:
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks. CoRR abs/2312.14973 (2023) - 2022
- [i4]Jixian Li, Daniel Van Boxel, Joshua A. Levine:
Autoencoder-Aided Visualization of Collections of Morse Complexes. CoRR abs/2210.07245 (2022) - 2021
- [c2]Shan Guan, Jixian Li, Fuwang Wang, Zhen Yuan, Bin Lu, Xiaogang Kang:
Research on Motor Imagery States Discriminating Based on CLMD and CNN. AIAM (ACM) 2021: 560-563 - [c1]Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger:
NeuralCubes: Deep Representations for Visual Data Exploration. IEEE BigData 2021: 550-561
2010 – 2019
- 2019
- [j3]Matthew Berger, Jixian Li, Joshua A. Levine:
A Generative Model for Volume Rendering. IEEE Trans. Vis. Comput. Graph. 25(4): 1636-1650 (2019) - 2018
- [j2]Ruxin Wang, Wei Lu, Jixian Li, Shijun Xiang, Xianfeng Zhao, Jinwei Wang:
Digital Image Splicing Detection Based on Markov Features in QDCT and QWT Domain. Int. J. Digit. Crime Forensics 10(4): 90-107 (2018) - [j1]Jixian Li, Wei Lu, Jian Weng, Yijun Mao, Guoqiang Li:
Double JPEG compression detection based on block statistics. Multim. Tools Appl. 77(24): 31895-31910 (2018) - [i3]Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger:
NNCubes: Learned Structures for Visual Data Exploration. CoRR abs/1808.08983 (2018) - 2017
- [i2]Abu Reyan Ahmed, Felice De Luca, Sabin Devkota, Alon Efrat, Md. Iqbal Hossain, Stephen G. Kobourov, Jixian Li, Sammi Abida Salma, Eric Welch:
L-Graphs and Monotone L-Graphs. CoRR abs/1703.01544 (2017) - [i1]Matthew Berger, Jixian Li, Joshua A. Levine:
A Generative Model for Volume Rendering. CoRR abs/1710.09545 (2017)
Coauthor Index
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