Jiang Zhang 张江
PhD Candidate'13
Key Laboratory of Machine Perception (Minister of Education),
Center for Information Science, School of EECS,
Peking University, Beijing. P.R.China
Email: jiang.zhang[at]pku.edu.cn
I'm in my sixth year of graduate study as a PhD candidate in Peking University. I've been a member of PKU Visualization and Visual Analytics Group since Nov.21, 2012. Currently, My research focuses on scientific visualization, including large-scale flow visualization and high performance visualization. For more details, please see my curriculum vitae in English or 中文.
Education
2013.09 - present: PhD student, in Computer Science, Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University.
2009.09 - 2013.07: Undergraduate student, in Software College, Shandong University. (2010.09 - 2011.07: study as an exchange student in International School of Software, Wuhan University.)
Publications
| DOI | PDF (2.2MB) | MPEG4 (5.9MB) |
Jiang Zhang and Xiaoru Yuan
A Survey of Parallel Particle Tracing Algorithms in Flow Visualization.
Journal of Visualization, 21(3):351–368, 2018.
| DOI | PDF (0.8MB) |
Qingya Shu, Richen Liu, Fan Hong, Jiang Zhang, and Xiaoru Yuan
State-of-the-Art of Ensemble Visualization.
Journal of Software, 29(2):506-523, 2018. (in Chinese)
| DOI |
PDF (8.5MB) |
Hanqi Guo, Jiang Zhang, Richen Liu, Lu Liu, Xiaoru Yuan, Jian Huang, Xiangfei Meng, and Jingshan Pan
Advection-Based Sparse Data Management for Visualizing Unsteady Flow.
IEEE Transactions on Visualization and Computer Graphics (SciVis '14), 20(12):2555-2564, 2014.
| DOI |
PDF (4.8MB) |
Conference Papers
Jiang Zhang, Hanqi Guo, Xiaoru Yuan, and Tom Peterka
Dynamic Data Repartitioning for Load-Balanced Parallel Particle Tracing.
In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2018), pages 86-95, Kobe, Japan, Apr. 10-13, 2018.
| DOI |
PDF (4.1MB) |
Fan Hong, Jiang Zhang, and Xiaoru Yuan
Access Pattern Learning with Long Short-Term Memory for Parallel Particle Tracing.
In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2018), pages 76-85, Kobe, Japan, Apr. 10-13, 2018.
| DOI |
PDF (0.5MB) |
Jiang Zhang, Hanqi Guo, and Xiaoru Yuan
Efficient Unsteady Flow Visualization with High-Order Access Dependencies.
In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2016), pages 80-87, Taipei, Apr. 19-22, 2016.
| DOI |
PDF (2.5MB) |
Richen Liu, Hanqi Guo, Jiang Zhang, and Xiaoru Yuan
Comparative Visualization of Vector Field Ensembles Based on Longest Common Subsequence.
In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2016), pages 96-103, Taipei, Apr. 19-22, 2016.
| DOI |
PDF (5.5MB) |
Hanqi Guo, Fan Hong, Qingya Shu, Jiang Zhang, Jian Huang, and Xiaoru Yuan
Scalable Lagrangian-based Attribute Space Projection for Multivariate Unsteady Flow Data.
In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2014), pages 33-40, Yokohama, Japan, Mar. 4-7, 2014.
| DOI |
PDF (1.6MB) |
MPEG4 (5.1MB) |
Posters and Other Publications
Jiang Zhang, Hanqi Guo, Xiaoru Yuan, and Tom Peterka
Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing.
IEEE Pacific Visualization Symposium 2017 (Poster), Seoul, Korea, Apr. 18-21, 2017.
| Poster (4.4MB) |
Jiang Zhang, Hanqi Guo, and Xiaoru Yuan
High Performance Flow Field Visualization with High-Order Access Dependencies.
IEEE VIS 2015 (Poster), Chicago, Illinois, USA, October 25-30, 2015.
| DOI |
Paper (0.1MB) |
Poster (14.4MB) |
Jiang Zhang, Hanqi Guo, and Xiaoru Yuan.
Volume Rendering Algorithm Based on Simplified Parallel Domain Traversal.
In Proceedings of National Annual Conference on High Performance Computing (HPC China 2013), pages 80-87, Guilin, China, Oct. 27 - Oct. 31, 2013. (in Chinese)
| PDF (1.1MB) |