W. Zheng, D. Wang, F. Song, A Distributed-GPU Deep Reinforcement Learning System for Solving Large Graph Optimization Problems, ACM Transactions on Parallel Computing 2023. [pdf] [bibtex]
Y. Feng, D. Zhong, P. Sun, W. Zheng, Q. Cao, X. Luo, Z. Lu, Micromobility in smart cities: A closer look at shared dockless e-scooters via big social data. IEEE International Conference on Communications, June 2021. [pdf] [bibtex]
W. Zheng, D. Wang, F. Song, Designing a parallel Feel-the-Way clustering algorithm on HPC systems, The International Journal of High Performance Computing Applications, November 2020. [pdf] [bibtex]
W. Zheng, D. Wang, F. Song, OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems, International Conference on Computational Science (ICCS) 2020. [pdf] [bibtex]
W. Zheng, D. Wang, F. Song, FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications in: Proceedings of the International Workshop on Software Engineering for HPC-Enabled Research, Supercomputing 2019 (SE-HER’19), Nov. 2019. [pdf] [bibtex]
W. Zheng, D. Wang, F. Song, XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code, International Conference on Computational Science (ICCS) 2019. [pdf] [bibtex]
W. Zheng, F. Song, L. Lin, Z. Chen, Scaling Up Parallel Computation of Tiled QR Factorizations by a Distributed Scheduling Runtime System and Analytical Modeling, Parallel Processing Letter 28(01). [pdf] [bibtex]
W. Zheng, F. Song, D. Wang, Design and Implementation of an Efficient Parallel Feel-the-Way Clustering Algorithm on High Performance Computing Systems, Purdue e-Pubs [pdf] [bibtex]
D. Wang, F. Song, W. Zheng, Application Software Analytics Toolkit for Facilitating the Understanding, Componentization, and Refactoring of Large-Scale Scientific Models, 9th International Congress on Environmental Modelling and Software. [pdf] [bibtex]
W. Zheng, F. Song, L. Lin, Designing a Synchronization-reducing Clustering Method on Manycores: Some Issues and Improvements, in: Proceedings of the Workshop on Machine Learning in High Performance Computing Environments, Supercomputing 2017 (MLHPC’17), Nov. 2017. [pdf] [bibtex]
W. Zheng, F. Song, L. Lin, Z. Chen, suCAQR: A simplified communication-avoiding QR factorization solver using the TBLAS framework, in: Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS’16), Dec. 2016. [pdf] [bibtex]