Papers & Presentations

Publications

1. Erasure Coding for Fault Oblivious Linear System Solvers. with D. F. Gleich, and A. Grama. SIAM Journal on Scientific Computing, Vol. 39, No. 1, pp. C48-C64, 2017. [Link][arXiv]

2. PSPIKE+: A family of parallel hybrid sparse linear system solvers. with Ahmed H. Sameh. Journal of Computational and Applied Mathematics, 311:682-703, 2017. [Link]

3. A Parallel Min-Cut Algorithm using Iteratively Reweighted Least Squares Targeting at Problems with Floating-point Edge Weights. with D. F. Gleich. Parallel Computing 59 (2016) 43-59. [Link][arXiv]

4. How to generate effective block Jacobi preconditioners for solving large sparse linear systems. with Ahmed H. Sameh. Book Chapter in Advances in Computational Fluid-Structure Interaction and Flow Simulation, Springer, 2016. [Link]

5. Parallel Hybrid Sparse Linear System Solvers with Applications. PhD Dissertation, Department of Computer Science, Purdue University, 2015.

6. EigenGP: Sparse Gaussian Process Models with Data-dependent Eigenfunctions. with Y. Qi, and B. Dai. [arXiv]

7. Acquiring Commonsense Corpora from Large Scale Web Corpora. (in Chinese) Master Thesis, Institute of Computing Technology, Chinese Academy of Sciences, 2008. [PDF]

8. A Manual Experiment on Commonsense Knowledge Acquisition from Web Corpora. with L. Zang, Y. Cao, D. Wang, and C. Cao. International Conference on Machine Learning and Cybernetics, 2008. [PDF]

9. Acquiring Commonsense Knowledge about Properties of Concepts from Text. with Y. Cao, C. Cao, L. Zang, S. Wang, and D. Wang. International Conference on Fuzzy Systems and Knowledge Discovery, 2008. [PDF]

10. A Methodology to Measure Semantic Distances between Concepts in Different Ontologies. (in Chinese) with D. Zhang. Chinese Journal of Computer Science, 35(9):144-148, 2008.

11. Measuring Learning Difficulty Level by Comparing Ontologies. with D. Zhang. International Conference on Fuzzy Systems and Knowledge Discovery, 2007. [PDF]

Notes and Unpublished Manuscripts

1. On the Connection Between Johnson-Lindenstrauss Transform and Restricted Isometry Property. [PDF]

2. Bayesian Nonparametric Density Estimation using Variational Inference. [PDF]

3. Solving an Exam Timetabling Problem using Integer Programming. [PDF]

4. Combinatorial Optimization and Approximate Inference. [PDF]

5. Nonparametric Bayesian Analysis of Internet Traffic Data. [PDF]

Presentations and Posters

1. Gaussian Processes and Neural Networks - a tale of two perspectives. Talk given to the Bloomberg Quant Financial Research Team, New York, August 13, 2018. [Slides]

2. Erasure Coding for Fault Oblivious Linear System Solvers. SIAM Computational Science and Engineering Student Conference, Purdue University, March 27, 2015 (second runner-up award). [Slides] [Video]

3. PSPIKE: a parallel hybrid sparse linear system solver. with A. Sameh. Semi-Plenary talk at the 18th International Conference on Finite Elements in Flow Problems, March 16-18 2015, Taipei, Taiwan. [Slides]

4. A Parallel Numerical Algorithm for Undirected s-t Min-Cut. ICERM Workshop on Electrical Flows, Graph Laplacians, and Algorithms, Brown University, April 7-11, 2014. [Poster]

5. Graph Spectral Sparsification and Fast Laplacian Solver. [Slides]

6. Approximate Least Squares Problem. [Slides]

7. Module Propagation: Probabilistic Frequent Subgraph Discovery. Second Annual Science of Information Summer School, Stanford University, May 30-June 1, 2012. [Poster]

8. Learning the Building Blocks of Crystal Structures. Center for Science of Information Virtual Brown Bag Research Discussion Series, September 20, 2011. [Slides] [Video]

9. Hierarchical Semiseparable Solvers for Gaussian Process Regression. [SLIDES]

10. Sparse Dynamic Models for Detecting Responsive Pathways. International Conference on Intelligent Systems for Molecular Biology, July 11-13, 2010. [Abstract]

11. Commonsense Research in AI. Invited talk at Fujitsu China Research and Development Center, November, 2007. [Slides]