Shadow Block: Accelerating ORAM Accesses with Data Duplication. - Xian Zhang 001; Guangyu Sun 003; Peichen Xie; Chao Zhang 007; Yannan Liu; Lingxiao Wei; Qiang Xu 001; Chun Jason Xue (MICRO, 2018)

V-PIM: An Analytical Overhead Model for Processing-in-Memory Architectures. - Peichen Xie; Guangyu Sun 003; Feng Wang 046; Guojie Luo (NVMSA, 2018)

BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference. - Peichen Xie; Bingzhe Wu; Guangyu Sun 003 (IJCAI, 2019)

Customizing Trusted AI Accelerators for Efficient Privacy-Preserving Machine Learning. - Peichen Xie; Xuanle Ren; Guangyu Sun 003 (CoRR, 2020)

Agatha: Smart Contract for DNN Computation. - Zihan Zheng; Peichen Xie; Xian Zhang 001; Shuo Chen 001; Yang Chen; Xiaobing Guo; Guangzhong Sun; Guangyu Sun 003; Lidong Zhou (CoRR, 2021)

Decentralized Verifiable Mail-in Ballot Counting for Postal Voting. - Peichen Xie; Zihan Zheng; Xian Zhang 001; Shuo Chen 001 (CoRR, 2022)

Galliot: Path Merging Based Betweenness Centrality Algorithm on GPU. - Zhigao Zheng 001; Chen Zhao; Peichen Xie; Bo Du 001 (INFOCOM, 2023)

Path Merging Based Betweenness Centrality Algorithm in Delay Tolerant Networks. - Zhigao Zheng 001; Bo Du 001; Chen Zhao; Peichen Xie (IEEE J. Sel. Areas Commun., 2023)

P1 Error: A Combination of Absolute and Relative Errors. - Peichen Xie (CoRR, 2024)

FPRev: Revealing the Order of Floating-Point Summation by Numerical Testing. - Peichen Xie; Yanjie Gao; Jilong Xue (CoRR, 2024)

GPU Architectures in Graph Analytics: A Comparative Experimental Study. - Peichen Xie; Zhigao Zheng 001; Yongluan Zhou; Yang Xiu; Hao Liu; Zhixiang Yang; Yu Zhang; Bo Du 001 (EDBT, 2025)

Revealing Floating-Point Accumulation Orders in Software/Hardware Implementations. - Peichen Xie; Yanjie Gao; Yang Wang; Jilong Xue (USENIX ATC, 2025)