All-window data liveness. - Pengcheng Li 001; Chen Ding 001 (MSPC@PLDI, 2013)

Code Layout Optimization for Defensiveness and Politeness in Shared Cache. - Pengcheng Li 001; Hao Luo 007; Chen Ding 001; Ziang Hu; Handong Ye (ICPP, 2014)

Modeling heap data growth using average liveness. - Pengcheng Li 001; Chen Ding 001; Hao Luo 007 (ISMM, 2014)

Assessing Safe Task Parallelism in SPEC 2006 INT. - Tongxin Bai; Chen Ding 001; Pengcheng Li 001 (CCGRID, 2015)

Compositional model of coherence and NUMA effects for optimizing thread and data placement. - Hao Luo 007; Jacob Brock; Pengcheng Li 001; Chen Ding 001; Chencheng Ye 001 (ISPASS, 2016)

Rethinking a heap hierarchy as a cache hierarchy: a higher-order theory of memory demand (HOTM). - Pengcheng Li 001; Hao Luo 007; Chen Ding 001 (ISMM, 2016)

Adaptive Software Caching for Efficient NVRAM Data Persistence. - Pengcheng Li 001; Dhruva R. Chakrabarti (LCPC, 2016)

Data-centric combinatorial optimization of parallel code. - Hao Luo 007; Guoyang Chen; Pengcheng Li 001; Chen Ding 001; Xipeng Shen (PPoPP, 2016)

Adaptive Software Caching for Efficient NVRAM Data Persistence. - Pengcheng Li 001; Dhruva R. Chakrabarti; Chen Ding 001; Liang Yuan (IPDPS, 2017)

Thread Data Sharing in Cache: Theory and Measurement. - Hao Luo 007; Pengcheng Li 001; Chen Ding 001 (PPoPP, 2017)

LD: Low-Overhead GPU Race Detection Without Access Monitoring. - Pengcheng Li 001; Xiaoyu Hu; Dong Chen 015; Jacob Brock; Hao Luo 007; Eddy Z. Zhang; Chen Ding 001 (ACM Trans. Archit. Code Optim., 2017)

Footprint modeling of cache associativity and granularity. - Hao Luo 007; Guoyang Chen; Fangzhou Liu; Pengcheng Li 001; Chen Ding 001; Xipeng Shen (MEMSYS, 2018)

Beating OPT with Statistical Clairvoyance and Variable Size Caching. - Pengcheng Li 001; Colin Pronovost; William Wilson; Benjamin Tait; Jie Zhou 022; Chen Ding 001; John Criswell (ASPLOS, 2019)

Timescale functions for parallel memory allocation. - Pengcheng Li 001; Hao Luo 007; Chen Ding 001 (ISMM, 2019)

GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection. - Yixin Guo; Pengcheng Li 001; Yingwei Luo; Xiaolin Wang 001; Zhenlin Wang (CoRR, 2020)

GRAPHSPY: Fused Program Semantic Embedding through Graph Neural Networks for Memory Efficiency. - Yixin Guo; Pengcheng Li 001; Yingwei Luo; Xiaolin Wang 001; Zhenlin Wang (DAC, 2021)

Uniform lease vs. LRU cache: analysis and evaluation. - Dong Chen 015; Chen Ding 001; Fangzhou Liu; Benjamin Reber; Wesley Smith; Pengcheng Li 001 (ISMM, 2021)

Exploring GNN based program embedding technologies for binary related tasks. - Yixin Guo; Pengcheng Li 001; Yingwei Luo; Xiaolin Wang 001; Zhenlin Wang (ICPC, 2022)

Graph Neural Networks Based Memory Inefficiency Detection Using Selective Sampling. - Pengcheng Li 001; Yixin Guo; Yingwei Luo; Xiaolin Wang 001; Zhenlin Wang; Xu Liu 001 (SC, 2022)