Projects per year
Personal profile
Research interests
Computer Science / Information Technology - Scientific visualization
Computer Science / Information Technology - Data management
Computer Science / Information Technology - Deep learning
Computer Science / Information Technology - Human-computer interaction
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
Education/Academic qualification
PhD in Computer Science and Engineering, PhD, University of Notre Dame
2022
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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Scalar Field Generation and Compression via Deep Learning
HAN, J. (PI)
National Natural Science Foundation of China
1/09/24 → 31/12/26
Project: Research
Research output
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A Study of Data Augmentation for Learning-Driven Scientific Visualization
Han, J., Zheng, H. & Tao, J., 2025, In: IEEE Transactions on Visualization and Computer Graphics. 31, 10, p. 8981-8993 13 p.Research output: Contribution to journal › Journal Article › peer-review
1 Citation (Scopus) -
CD-TVD: Contrastive Diffusion for 3D Super-Resolution with Scarce High-Resolution Time-Varying Data
Bi, C., Gao, X., Deng, J., Li, G. & Han, J., 11 Dec 2025, In: IEEE Transactions on Visualization and Computer Graphics. p. 1-11 11298315.Research output: Contribution to journal › Journal Article › peer-review
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DCINR: A Divide-and-Conquer Implicit Neural Representation for Compressing Time-Varying Volumetric Data in Hours
Han, J. & Yang, F., 2025, In: IEEE Transactions on Visualization and Computer Graphics. 31, 10, p. 8116-8128 13 p.Research output: Contribution to journal › Journal Article › peer-review
2 Citations (Scopus) -
DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research
Yao, J. H., Li, M., Liu, J., Li, Y., Feng, J., Han, J., Zheng, Q., Feng, J. & Chen, S., 2025, In: IEEE Transactions on Visualization and Computer Graphics. 31, 6, p. 3796-3808 13 p.Research output: Contribution to journal › Journal Article › peer-review
Open Access1 Citation (Scopus) -
MoE-INR: Implicit Neural Representation with Mixture-of-Experts for Time-Varying Volumetric Data Compression
Han, J., Tang, K. & Wang, C., 21 Nov 2025, (E-pub ahead of print) In: IEEE Transactions on Visualization and Computer Graphics.Research output: Contribution to journal › Journal Article › peer-review