Iterative sparse matrix-vector multiplication on in-memory cluster computing accelerated by GPUs for big data. - Jiwu Peng; Zheng Xiao; Cen Chen; Wangdong Yang (ICNC-FSKD, 2016)

DHCRF: A Distributed Conditional Random Field Algorithm on a Heterogeneous CPU-GPU Cluster for Big Data. - Wei Ai 001; Kenli Li 001; Cen Chen 002; Jiwu Peng; Keqin Li 001 (ICDCS, 2017)

An Efficient Parallelization Approach for Large-Scale Sparse Non-Negative Matrix Factorization Using Kullback-Leibler Divergence on Multi-GPU. - Hao Li 025; Kenli Li 001; Jiwu Peng; Junyan Hu; Keqin Li 001 (ISPA/IUCC, 2017)

CuSNMF: A Sparse Non-Negative Matrix Factorization Approach for Large-Scale Collaborative Filtering Recommender Systems on Multi-GPU. - Hao Li 025; Kenli Li 001; Jiwu Peng; Keqin Li 001 (ISPA/IUCC, 2017)

An online and generalized non-negativity constrained model for large-scale sparse tensor estimation on multi-GPU. - Linlin Zhuo; Kenli Li 001; Hao Li 025; Jiwu Peng; Keqin Li 001 (Neurocomputing, 2020)

HEA-PAS: A hybrid energy allocation strategy for parallel applications scheduling on heterogeneous computing systems. - Jiwu Peng; Kenli Li 001; Jianguo Chen 001; Keqin Li 001 (J. Syst. Archit., 2022)

Reliability/Performance-Aware Scheduling for Parallel Applications With Energy Constraints on Heterogeneous Computing Systems. - Jiwu Peng; Kenli Li 001; Jianguo Chen 001; Keqin Li 001 (IEEE Trans. Sustain. Comput., 2022)

UAV-assisted dependency-aware computation offloading in device-edge-cloud collaborative computing based on improved actor-critic DRL. - Longxin Zhang; Runti Tan; Yanfen Zhang; Jiwu Peng; Jing Liu 032; Keqin Li 001 (J. Syst. Archit., 2024)

Towards a moving target defense based on stochastic games and honeypots. - Di Li; Shirui Tian; Wenqiang Jin; Jiwu Peng; Mingxing Duan (Inf. Sci., 2025)