Jun Han

Assistant Professor, Presidential Young Fellow
Daoyuan Building 323b
School of Data Science
The Chinese University of Hong Kong, Shenzhen

I received Ph.D. in Computer Science and Engineering from the University of Notre Dame, advised by Prof. Chaoli Wang. Before that, I obtained my BS in Software Engineering and MS in Computer Software and Theory. Both are from Xidian University. My research interests lie in the general area of human-computer interaction, scientific visualization, and machine learning.

PhD applicants: I have no openings for PhD at the academic year 24/25.

Recommendation letter: I write recommendation letter only for students who have worked with me for at least 3 months.

news


Dec 5, 2023	KD-INR accepted to IEEE TVCG!
Apr 5, 2023	GMT accepted to C&G!
Feb 14, 2023	Invited to Serve on the Program Committee at IEEE VIS 2023!
Jul 29, 2022	CoordNet accepted to IEEE TVCG!
Apr 13, 2022	DL4SciVis accepted to IEEE TVCG!

selected publications

spotlight_dl4scivis

CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network

Jun Han and Chaoli Wang

IEEE TVCG / Paper / Appendix / Video

spotlight_surfnet

SurfNet: Learning Surface Representations via Graph Convolutional Network

Jun Han and Chaoli Wang

CGF (EuroVis 2022) / Paper

spotlight_vcnet

STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes

Jun Han, Hao Zheng, Danny Z. Chen, and Chaoli Wang

IEEE TVCG (IEEE VIS 2021) / Paper

spotlight_miccai21

Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation

Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, and Danny Z. Chen

MICCAI 2021 / Paper

V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data

Jun Han, Hao Zheng, Yunhao Xing, Danny Z. Chen, and Chaoli Wang

IEEE TVCG (IEEE VIS 2020) / Paper

spotlight_flownet

FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream Surfaces

Jun Han, Jun Tao, and Chaoli Wang

IEEE TVCG / Paper

spotlight_ubiear

UbiEar: Bringing Location-independent Sound Awareness to the Hard-of-hearing People with Smartphones

Sicong Liu, Zimu Zhou, Junzhao Du, Longfei Shangguan, Jun Han, and Xin Wang

ACM IMWUT (Distinguished Paper Award at ACM UbiComp 2018) / Paper