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IEEE Transactions on Visualization and Computer Graphics|December 21, 2023
KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-Based Implicit Neural RepresentationJun Han, Hao Zheng, Chongke Bi
IEEE Transactions on Visualization and Computer Graphics|December 11, 2025
CD-TVD: Contrastive Diffusion for 3D Super-Resolution with Scarce High-Resolution Time-Varying DataChongke Bi, Xin Gao, Jiakang Deng, et al.
IEEE Transactions on Visualization and Computer Graphics|July 10, 2025
A Study of Data Augmentation for Learning-Driven Scientific VisualizationJun Han, Hao Zheng, Jun Tao
IEEE Transactions on Visualization and Computer Graphics|March 22, 2024
Viewpoint Recommendation for Point Cloud Labeling through Interaction Cost ModelingYu Zhang, Xinyi Zhao, Chongke Bi, et al.
IEEE Transactions on Visualization and Computer Graphics|September 29, 2021
STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution VolumesJun Han, Hao Zheng, Danny Z Chen, et al.
IEEE Transactions on Visualization and Computer Graphics|October 19, 2020
V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying DataJun Han, Hao Zheng, Yunhao Xing, et al.
IEEE Computer Graphics and Applications|June 22, 2019
Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep LearningJun Han, Jun Tao, Hao Zheng, et al.
IEEE Transactions on Visualization and Computer Graphics|January 22, 2026
A Few-Shot Learning Framework for Time-Varying Scientific Data Generation Via Conditional Diffusion ModelJun Han
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