Jiajia Li

Miao, Z., Calhoun, J. C., Ge, R., & Li, J. (2023). Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition. ACM TRANSACTIONS ON PARALLEL COMPUTING, 10(2). https://doi.org/10.1145/3580315

Shivakumar, S., Li, J., Kannan, R., & Aluru, S. (2023). Sparse Symmetric Format for Tucker Decomposition. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 34(6), 1743–1756. https://doi.org/10.1109/TPDS.2023.3263124

Du, Z., Li, J., Wang, Y., Li, X., Tan, G., & Sun, N. (2022). AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices. SC22: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS. https://doi.org/10.1109/SC41404.2022.00071

Miao, Z., Li, J., Calhoun, J. C., & Ge, R. (2022). BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition. 2022 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER 2022), pp. 440–450. https://doi.org/10.1109/CLUSTER51413.2022.00054

Di Napoli, E., Bientinesi, P., Li, J., & Uschmajew, A. (2022, September 23). Editorial: High-performance tensor computations in scientific computing and data science. FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS, Vol. 8. https://doi.org/10.3389/fams.2022.1038885