IEEE Human Machine Systems (Under Review), 2023
Recommended citation: Guo Y, Cao N, Qi X, et al. Urania: Visualizing Data Analysis Pipelines for Natural Language-Based Data Exploration[J]. arXiv preprint arXiv:2306.07760, 2023. https://arxiv.org/pdf/2306.07760.pdf
IEEE Transactions on Visualization and Computer Graphics, 2023
Recommended citation: Chen Q, Chen Y, Shuai W, et al. Chart2Vec: A Universal Embedding of Context-Aware Visualizations[J]. arXiv preprint arXiv:2306.08304, 2023. https://arxiv.org/pdf/2306.08304.pdf
Applied Science, 2022
Recommended citation: Guo Y, Cao N, Cai L, et al. Datamator: An Authoring Tool for Creating Datamations via Data Query Decomposition[J]. Applied Sciences, 2023, 13(17): 9709. https://arxiv.org/pdf/2304.03126.pdf
IEEE Transactions on Visualization and Computer Graphics , 2021
Recommended citation: Guo Y, Guo S, Jin Z, et al. Survey on visual analysis of event sequence data[J]. IEEE Transactions on Visualization and Computer Graphics, 2021, 28(12): 5091-5112. https://arxiv.org/pdf/2006.14291.pdf
ACM Transactions on Interactive Intelligent Systems, 2021
Recommended citation: Guo Y, Shi D, Guo M, et al. Talk2Data: A Natural Language Interface for Exploratory Visual Analysis via Question Decomposition[J]. arXiv e-prints, 2021: arXiv: 2107.14420. https://arxiv.org/pdf/2107.14420.pdf
IJCNN2020, 2020
Recommended citation: Yi K, Guo Y, Fan Y, et al. Cosmo vae: Variational autoencoder for cmb image inpainting[C]//2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020: 1-7. https://arxiv.org/pdf/2001.11651.pdf