A preprocessing method for magnetic resonance images of head to improve the performance of brain extraction tools. - Minli Liao; Weitun Yang; Xiaojie Zhang; Min Lu; Weibei Dou (BMEI, 2014)

Evaluating tradeoffs in granularity and overheads in supporting nonvolatile execution semantics. - Kaisheng Ma; Minli Julie Liao; Xueqing Li 002; Zhixuan Huan; Jack Sampson (ISQED, 2017)

MDACache: Caching for Multi-Dimensional-Access Memories. - Sumitha George; Minli Julie Liao; Huaipan Jiang; Jagadish B. Kotra; Mahmut T. Kandemir; Jack Sampson; Vijaykrishnan Narayanan (MICRO, 2018)

Symmetric 2-D-Memory Access to Multidimensional Data. - Sumitha George; Xueqing Li 002; Minli Julie Liao; Kaisheng Ma; Srivatsa Rangachar Srinivasa; Karthik Mohan; Ahmedullah Aziz; John Sampson; Sumeet Kumar Gupta; Vijaykrishnan Narayanan (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Emerging memories as enablers for in-memory layout transformation acceleration and virtualization. - Minli Julie Liao; Jack Sampson (ASP-DAC, 2020)

D-SOAP: Dynamic Spatial Orientation Affinity Prediction for Caching in Multi-Orientation Memory Systems. - Minli Julie Liao; Jack Sampson (MICRO, 2020)

A Deep Technical Review of nZDC Fault Tolerance. - Minli Liao; Sam Ainsworth; Lev Mukhanov; Timothy M. Jones 001 (CC, 2025)

ParaVerser: Harnessing Heterogeneous Parallelism for Affordable Fault Detection in Data Centers. - Minli Julie Liao; Sam Ainsworth; Lev Mukhanov; Adrián Barredo; Markos Kynigos; Timothy M. Jones 001 (DSN, 2025)

MEEK: Re-thinking Heterogeneous Parallel Error Detection Architecture for Real-World OoO Superscalar Processors. - Zhe Jiang; Minli Liao; Sam Ainsworth; Dean You; Timothy M. Jones 001 (CoRR, 2025)