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ORCIDJingyi Shen
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2020 – today
- 2024
[j5]Jingyi Shen
, Han-Wei Shen:
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data. IEEE Trans. Vis. Comput. Graph. 30(1): 986-996 (2024)- [i4]Jingyi Shen, Yuhan Duan, Han-Wei Shen:
SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification. CoRR abs/2407.12884 (2024) - 2023
- [j4]Jingyi Shen, Haoyu Li, Jiayi Xu, Ayan Biswas, Han-Wei Shen:
IDLat: An Importance-Driven Latent Generation Method for Scientific Data. IEEE Trans. Vis. Comput. Graph. 29(1): 679-689 (2023) - [i3]Jingyi Shen, Han-Wei Shen:
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data. CoRR abs/2308.04605 (2023) - 2022
- [i2]Jingyi Shen, Haoyu Li, Jiayi Xu, Ayan Biswas, Han-Wei Shen:
IDLat: An Importance-Driven Latent Generation Method for Scientific Data. CoRR abs/2208.03345 (2022) - 2021
- [c5]Xiaofei Xie, Jingyi Shen, Yifan Zhao, Ruilin Yang:
Research and Design of Big Data Relevance Analysis System for Land Development Industry Chain. ICCCS 2021: 53-58 - [c4]Jingyi Shen, Han-Wei Shen:
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks. STAG 2021: 163-173 - 2020
- [j3]Jingyi Shen, M. Omair Shafiq:
Short-term stock market price trend prediction using a comprehensive deep learning system. J. Big Data 7(1): 66 (2020) - [j2]Jingyi Shen, Runqi Wang, Han-Wei Shen:
Visual exploration of latent space for traditional Chinese music. Vis. Informatics 4(2): 99-108 (2020) - [i1]Jingyi Shen, Han-Wei Shen:
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks. CoRR abs/2005.02186 (2020)
2010 – 2019
- 2019
- [c3]Jingyi Shen, Olga Baysal, M. Omair Shafiq:
Evaluating the Performance of Machine Learning Sentiment Analysis Algorithms in Software Engineering. DASC/PiCom/DataCom/CyberSciTech 2019: 1023-1030 - [c2]Jingyi Shen, M. Omair Shafiq:
Learning Mobile Application Usage - A Deep Learning Approach. ICMLA 2019: 287-292 - 2018
- [c1]Jingyi Shen, M. Omair Shafiq:
Deep Learning Convolutional Neural Networks with Dropout - A Parallel Approach. ICMLA 2018: 572-577 - 2017
- [j1]Jingyi Shen, Weiping Huang, Dongyang Zhu, Jun Liang:
A Novel Similarity Measure Model for Multivariate Time Series Based on LMNN and DTW. Neural Process. Lett. 45(3): 925-937 (2017)
Coauthor Index
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