Jinrong Xie

Machine Learning Engineer, Adobe

email address




Mobile Head Tracking for eCommerce and Beyond
Muratcan Cicek, Jinrong Xie, Qiaosong Wang, Robinson Piramuthu
arXiv preprint arXiv:1812.07143 (2018)
[HCI] [Head Tracking] [ARKit] [Mobile Device]
[Paper] [Code] [Story]


A Combined Eulerian-Lagrangian Data Representation for Large-scale Applications
Franz Sauer, Jinrong Xie, Kwan-Liu Ma
In IEEE Transactions on Visualization and Computer Graphics
doi: 10.1109/TVCG.2016.2620975

[Data models] [Hybrid structure] [Spatial data indexing structures] [Correlation] [Scientific visualization]


Advanced Visualization Techniques and Data Representations for Large Scale Scientific Data
Jinrong Xie
Committee Member: Kwan-Liu Ma (Chair), Bernd Hammand, Nelson Max
doi: 10124372

[In-situ visualization] [Multi-resolution] [Parallel algorithm] [Scientific visualization] [Spatial data indexing structures] [Volume rendering]
[PhD Dissertation]


An Integrated Visualization System for Interactive Analysis of Large, Heterogeneous Cosmology Data
Annie Preston, Ramyar Ghods, Jinrong Xie, Franz Sauer, Nick Leaf, Kwan-Liu Ma, Steve Rangel, Eve Kovacs, Katrin Heitmann, Salman Habib
In Proceedings of 2016 IEEE Pacific Visualization Symposium (PacificVis)
doi: 10.1109/PACIFICVIS.2016.7465250

[Cosmology] [Particle Rendering] [Volume Rendering] [Halo] [Filament] [Merger Tree] [Heavy Birth]
[Paper] [Demo]


Fast Uncertainty-driven Large-scale Volume Feature Extraction on Desktop PCs
Jinrong Xie, Franz Sauer, Kwan-Liu Ma
In Proceedings of IEEE Symposium on Large Data Analysis and Visualization (LDAV) co-located with IEEE VIS, Oct. 2015
doi: 10.1109/LDAV.2015.7348067

[Segmentation] [multi-resolution] [feature extraction] [hierarchical clustering] [superpixel] [supervoxel]
[Paper] [Slides] [Best Paper Honorable Mention] [Photo]


Scalable Parallel Distance Field Construction for Large-Scale Applications
Hongfeng Yu, Jinrong Xie, Kwan-Liu Ma, Hemanth Kolla, and Jacqueline H. Chen
In IEEE Transactions on Visualization and Computer Graphics,
doi: 10.1109/TVCG.2015.2417572

[distance field] [distance transform] [in-situ visualization] [spatial data structures] [scientific visualization]
[Paper] [Slides] [Photo] [Software]


Visualizing Large 3D Geodesic Grid Data with Massively Distributed GPUs
Jinrong Xie, Hongfeng Yu, Kwan-Liu Ma
In Proceedings of IEEE Symposium on Large Data Analysis and Visualization (LDAV) co-located with IEEE VIS, Nov. 2014
doi: 10.1109/LDAV.2014.7013198

[Distributed GPU volume rendering] [Spherical Quadtree] [Ocean simulation] [Model for Prediction Across Scales (MPAS)]
[Paper] [Slides] [Demo] [Photo]


SPACE: SPatial Atmospheric Cloud Explorer
Jinrong Xie, Franz Sauer, Hendrik Schroots, Chuan Wang, Shimin Wang, Kwan-Liu Ma
IEEE Scientific Visualization Contest 2014
[Visualization Contest] [Geo-science Visualization] [Volcano Eruption]
[Paper] [Demo]


Interactive Ray Casting of Geodesic Grids
Jinrong Xie, Hongfeng Yu, Kwan-Liu Ma
Computer Graphics Forum (CGF), vol. 32, no. 3pt4, pp. 481-490, June, 2013
doi: 10.1111/cgf.12135

[Volume rendering] [Geodesic grids] [GPU ray casting] [Climate visualization] [Global Cloud Resolving Model (GCRM)]
[Paper] [Errata] [Source Code] [Slides] [Demo] [Photo] [Presentation]


Parallel Analysis Tools for Ultra-Large Climate Data Sets
Robert Jacob, Jayesh Krishna, Xiabing Xu, Sheri Mickelson, Tim Tautges, Mike Wilde, Rob Latham, Ian Foster, Rob Ross, Mark Hereld, (Argonne National Laboratory) Pavel Bochev, Kara Peterson, Mark Taylor (Sandia National Lab.) Karen Schuchardt, Jian Yin (Pacific Northwest National Lab.) Don Middleton, Mary Haley, David Brown, Richard Brownrigg, Wei Huang, Dennis Shea, Mariana Vertenstein (NCAR), Kwan-Liu Ma, Jinrong Xie (UC-Davis)
European Geosciences Union General Assembly, 04/2013

[Poster] [Others]


Bringing Task and Data Parallelism to Analysis of Climate Model Output
Robert L. Jacob, Jayesh Krishna, Xiabing Xu, Sheri A. Mickelson, Tim Tautges, Mike Wilde, Robert Latham, Ian T. Foster, Robert B. Ross, Mark Hereld, Jay Walter Larson, Pavel B. Bochev, Kara Peterson, Mark A. Taylor, Karen Schuchardt, Jain Yin, Don Middleton, Mary Haley, David Brown, Wei Huang, Dennis G. Shea, Richard Brownrigg, Mariana Vertenstein, Kwan-Liu Ma, Jinrong Xie
SC Companion 2012: 1493-1494

[Poster] [Abstract]


Industry Experience

Adobe, San Jose, CA
Sr. Machine Learning Engineer
Computer Vision, Deep Learning
Dec 2019 ~ present

eBay, San Jose, CA
Research Scientist, CoreAI
Computer Vision, Deep Learning, Big-data Analytics and Visualization
June 2015 ~ Dec 2019

HP Lab, Palo Alto, CA
Analytics Lab Research Associate Intern
June ~ Oct. 2014

NVIDIA, San Clara, CA
GPU Architecture Intern
June ~ Sept. 2013

Awards and Honors