Design of Boot Loader with Multiple Communication Port. - Ke Pei; Gang Zhang; Fujiang Li (CSSE (2), 2008)

OS-Level IPC Implementation in Complementary Multi-processor Systems. - Ke Pei; Gang Zhang; Chang Qing (APWCS, 2010)

Analysis of SOA-based middleware service layers for polynary resources SoC. - Ke Pei; Gang Zhang; Zhongjie Zhang (ICIS, 2010)

Successive iterations and positive extremal solutions for a Hadamard type fractional integro-differential equations on infinite domain. - Ke Pei; Guotao Wang; Yanyan Sun (Appl. Math. Comput., 2017)

Towards Experienced Anomaly Detector Through Reinforcement Learning. - Chengqiang Huang; Yulei Wu; Yuan Zuo; Ke Pei; Geyong Min (AAAI, 2018)

Towards an Active Probing Extension for the ONOS SDN Controller. - Christopher Metter; Valentin Burger; Zheng Hu; Ke Pei; Florian Wamser (ITNAC, 2018)

Nonlocal Hadamard fractional boundary value problem with Hadamard integral and discrete boundary conditions on a half-line. - Guotao Wang; Ke Pei; Ravi P. Agarwal; Lihong Zhang; Bashir Ahmad 003 (J. Comput. Appl. Math., 2018)

Stability analysis of nonlinear Hadamard fractional differential system. - Guotao Wang; Ke Pei; YangQuan Chen (J. Frankl. Inst., 2019)

Terminator: An Efficient and Light-weight Fault Localization Framework. - Yuxing Li; Hu Zheng; Chengqiang Huang; Ke Pei; Jinghui Li; Longbo Huang (INFOCOM Workshops, 2020)

An Intelligent Anomaly Detection Scheme for Micro-Services Architectures With Temporal and Spatial Data Analysis. - Yuan Zuo; Yulei Wu; Geyong Min; Chengqiang Huang; Ke Pei (IEEE Trans. Cogn. Commun. Netw., 2020)

Monitoring perception reliability in autonomous driving: Distributional shift detection for estimating the impact of input data on prediction accuracy. - Franz Hell; Gereon Hinz; Feng Liu 040; Sakshi Goyal; Ke Pei; Tetiana Lytvynenko; Alois C. Knoll; Yiqiang Chen (CSCS, 2021)

Statistical Certification of Acceptable Robustness for Neural Networks. - Chengqiang Huang; Hu Zheng; Xiaowei Huang 001; Ke Pei (ICANN (1), 2021)

Cross-modal Matching CNN for Autonomous Driving Sensor Data Monitoring. - Yiqiang Chen; Feng Liu 040; Ke Pei (ICCVW, 2021)

Adaptive Retraining for Neural Network Robustness in Classification. - Ruozhu Yao; Chengqiang Huang; Zheng Hu 002; Ke Pei (IJCNN, 2021)

Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles. - Liuhui Ding; Dachuan Li; Bowen Liu; Wenxing Lan; Bing Bai; Qi Hao; Weipeng Cao; Ke Pei (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Methods for deep learning model failure detection and model adaption: A survey. - Xiaoyu Wu; Zheng Hu 002; Ke Pei; Liyan Song; Zhi Cao 001; Shuyi Zhang (ISSRE Workshops, 2021)

MindFI: A Fault Injection Tool for Reliability Assessment of MindSpore Applicacions. - Yang Zheng; Zhenye Feng; Zheng Hu; Ke Pei (ISSRE Workshops, 2021)

Label-Assisted Memory Autoencoder for Unsupervised Out-of-Distribution Detection. - Shuyi Zhang; Chao Pan 005; Liyan Song; Xiaoyu Wu; Zheng Hu; Ke Pei; Peter Tino; Xin Yao 001 (ECML/PKDD (3), 2021)

Monocular Vehicle 3D Bounding Box Estimation Using Homograhy and Geometry in Traffic Scene. - Yiqiang Chen; Feng Liu 040; Ke Pei (ICASSP, 2022)

Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems. - Chengqiang Huang; Geyong Min; Yulei Wu; Yiming Ying; Ke Pei; Zuochang Xiang (IEEE Trans. Big Data, 2022)

Contradictions Identification of Safety and Security Requirements for Industrial Cyber-Physical Systems. - Zhicong Sun; Yulong Ding; Ke Pei; Shuang-Hua Yang (IEEE Internet Things J., 2024)