Jingyi Shen

Orcid: 0000-0001-5478-3993

According to our database1, Jingyi Shen authored at least 14 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling.
CoRR, April, 2026

2025
SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification.
IEEE Trans. Vis. Comput. Graph., January, 2025

Equilibrium Coalition Structures in Three-Player Symmetric Games.
Games, 2025

Pool Formation with Three Patent Owners.
Games, 2025

2024
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data.
IEEE Trans. Vis. Comput. Graph., January, 2024

2023
IDLat: An Importance-Driven Latent Generation Method for Scientific Data.
IEEE Trans. Vis. Comput. Graph., 2023

2021
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks.
Proceedings of the Italian Chapter Conference 2021, 2021

Research and Design of Big Data Relevance Analysis System for Land Development Industry Chain.
Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

2020
Visual exploration of latent space for traditional Chinese music.
Vis. Informatics, 2020

Short-term stock market price trend prediction using a comprehensive deep learning system.
J. Big Data, 2020

2019
Learning Mobile Application Usage - A Deep Learning Approach.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Evaluating the Performance of Machine Learning Sentiment Analysis Algorithms in Software Engineering.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018
Deep Learning Convolutional Neural Networks with Dropout - A Parallel Approach.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
A Novel Similarity Measure Model for Multivariate Time Series Based on LMNN and DTW.
Neural Process. Lett., 2017


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