Jun Han
Orcid: 0000-0002-7286-062XAffiliations:
- Chinese University of Hong Kong-Shenzhen (CUHK-SZ), Shenzhen, China
- University of Notre Dame, Notre Dame, IN, USA (former)
According to our database1,
Jun Han
authored at least 25 papers
between 2019 and 2024.
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Bibliography
2024
KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-Based Implicit Neural Representation.
IEEE Trans. Vis. Comput. Graph., October, 2024
2023
CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network.
IEEE Trans. Vis. Comput. Graph., December, 2023
IEEE Trans. Vis. Comput. Graph., August, 2023
GMT: A deep learning approach to generalized multivariate translation for scientific data analysis and visualization.
Comput. Graph., May, 2023
2022
STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes.
IEEE Trans. Vis. Comput. Graph., 2022
IEEE Trans. Vis. Comput. Graph., 2022
Comput. Graph. Forum, 2022
Comput. Graph., 2022
AQX: Explaining Air Quality Forecast for Verifying Domain Knowledge using Feature Importance Visualization.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022
Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022
2021
V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data.
IEEE Trans. Vis. Comput. Graph., 2021
Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising.
IEEE Computer Graphics and Applications, 2021
Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
IEEE Trans. Vis. Comput. Graph., 2020
FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream Surfaces.
IEEE Trans. Vis. Comput. Graph., 2020
TransRes: A Deep Transfer Learning Approach to Migratable Image Super-Resolution in Remote Urban Sensing.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020
PQA-CNN: Towards Perceptual Quality Assured Single-Image Super-Resolution in Remote Sensing.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020
2019
Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning.
IEEE Computer Graphics and Applications, 2019
A Deep Learning Approach to Selecting Representative Time Steps for Time-Varying Multivariate Data.
Proceedings of the 30th IEEE Visualization Conference, 2019
HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data.
Proceedings of the Advances in Visual Computing, 2019
TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019