An Evaluation of Unified Memory Technology on NVIDIA GPUs. - Wenqiang Li; Guanghao Jin; Xuewen Cui; Simon See (CCGRID, 2015)

Directive-Based Pipelining Extension for OpenMP. - Xuewen Cui; Thomas R. W. Scogland; Bronis R. de Supinski; Wu-Chun Feng (CLUSTER, 2016)

Directive-Based Partitioning and Pipelining for Graphics Processing Units. - Xuewen Cui; Thomas R. W. Scogland; Bronis R. de Supinski; Wu-chun Feng (IPDPS, 2017)

Iterative machine learning (IterML) for effective parameter pruning and tuning in accelerators. - Xuewen Cui; Wu-chun Feng (CF, 2019)

Rapid design of a screw drive in-pipe robot based on parameterized simulation technology. - Te Li; Kuo Liu; Haibo Liu; Xuewen Cui; Bin Li 001; Yongqing Wang (Simul., 2019)

Directive-Based Data Partitioning and Pipelining and Auto-Tuning for High-Performance GPU Computing. - Xuewen Cui (2020)

IterML: Iterative Machine Learning for Intelligent Parameter Pruning and Tuning in Graphics Processing Units. - Xuewen Cui; Wu-chun Feng (J. Signal Process. Syst., 2021)

BLP: Block-Level Pipelining for GPUs. - Wu-chun Feng; Xuewen Cui; Thomas Scogland; Bronis R. de Supinski (CF, 2024)