Xinyu Chen's Home Page

I am a Ph. D. student in my fourth year in Computer Science Department of University of New Mexico . My advisor is Prof. Trilce Estrada. My research interest includes machine learning, big data analysis, and their applications in the analysis of scientific simulations using parallel computing techniques. I worked with Prof. Estrada on in-situ data analysis especially the distributed unsupervised learning algorithms that can scale well and preserve privacy. In the summer of 2017, I worked at Los Alamos National Laboratory with Dr. Qiang Guan on visualization the training of deep neural networks. In the summer of 2016, I worked at Los Alamos National Laboratory with Dr. Ryan Wollaeger on the domain decomposition for optimization of Monte Carlo simulation of super novae.

Education

Ph. D. in Computer Science, University of New Mexico. 2014-2019 (expected)
B. S. in Computer Science, Peking University. 2011.
Certificate. in Economics, University of International Business and Economics. 1998.

Research Interests

Distributed scalable data mining and machine learning algorithms.
In-situ information visualization for machine learning algorithms.
Deep learning algorithms and applications in medical and biological problems.

Publications

Big Data 2018

Xinyu Chen, Qiang Guan, Xin Liang, Li-Ta Lo, Simon Su, Zhengyong Ren, James Ahrens and Trilce Estrada
In situ TensorView: In situ Visualization of Convolutional Neural Networks short paper
Proceedings of the IEEE International Conference on BIG DATA,Seattle, WA, USA, Dec 10-13, 2018.

ICPP2018

Xinyu Chen, Jeremy Benson, Trilce Estrada
KeyBin2: Distributed Clustering for Scalable and In-Situ Analysis full paper
Proceedings of the 47th International Conference on Parallel Processing, Eugene, Oregon, USA, August 13 - 16 2018.

DIDL2017

Xinyu Chen, Qiang Guan, Xin Liang, Li-Ta Lo, Simon Su, Trilce Estrada, and James Ahrens
TensorView: Visualizing the Training of Convolutional Neural Network Using Paraview workshop paper
Proceedings of the First Workshop on Distributed Infrastructures for Deep Learning (DIDL2017), Las Vegas, Nevada, USA, Dec 11, 2017.

Cluster2017

Xinyu Chen, Jeremy Benson, Trilce Estrada
keybin Key-based Binning for Distributed Clustering full paper
Proceedings of the 19th IEEE Cluster conference, Honolulu, Hawaii, USA, September 5 - 8 2017.

DATA2017

Xinyu Chen, Trilce Estrada
Index Clustering: A map-reduce clustering approach using Numba short paper
Proceedings of the 6th International Conference on Data Science, Technology and Applications (DATA), Madrid, Spain, Jul 24 - 26, 2017.

SC'18 Poster

Mariia Karabin, Supreeth Suresh,Xinyu Chen, Ivo Jimenez, Li-Ta Lo and Pascal Grosset
Using Thrill to Process Scientific Data on HPC abstract
Poster in 30th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, Texas, USA, Nov 11 - 16, 2018.

SC'17 Poster

Xinyu Chen, Qiang Guan, Xin Liang, Li-Ta Lo, Trilce Estrada, and James Ahrens
TensorViz: Visualizing the Training of Convolutional Neural Network Using Paraview poster
Poster in 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, USA, Nov 12 - 17, 2017.

SC'16 Poster

Xinyu Chen, David Huff, Platon Karpov, Ryan Wollaeger, Gabriel Rockefeller, Brendan Krueger
Exploring Performance of Domain Decomposition Strategies for Monte Carlo Radiation Transport poster
Poster in 28th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Salt Lake City, Utah, USA, Nov 13 - 18, 2016.