Bayesian approach for inverse obstacle scattering with Poisson data. - Xiaomei Yang; Zhiliang Deng (CoRR, 2019)

A parametric Bayesian level set approach for acoustic source identification using multiple frequency information. - Zhiliang Deng; Xiaomei Yang; Jiangfeng Huang (CoRR, 2019)

An ensemble Kalman filter approach based on level set parameterization for acoustic source identification using multiple frequency information. - Zhiliang Deng; Xiaomei Yang (CoRR, 2019)

Privacy-preserving quantum multi-party computation based on circular structure. - Zhiliang Deng; Ying Zhang 058; Xiaorui Zhang; Lingling Li (J. Inf. Secur. Appl., 2019)

A Marine Object Detection Algorithm Based on SSD and Feature Enhancement. - Kai Hu 006; Feiyu Lu; Meixia Lu; Zhiliang Deng; Yunping Liu (Complex., 2020)

Extended-Sampling-Bayesian Method for Limited Aperture Inverse Scattering Problems. - Zhaoxing Li; Zhiliang Deng; Jiguang Sun (SIAM J. Imaging Sci., 2020)

A Bayesian level set method for an inverse medium scattering problem in acoustics. - Jiangfeng Huang; Zhiliang Deng; Liwei Xu (CoRR, 2021)

A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud. - Wenjie Liu 001; Ying Zhang 058; Zhiliang Deng; Jiaojiao Zhao; Lian Tong (EURASIP J. Wirel. Commun. Netw., 2021)

A Multi-Objective Quantum-Inspired Seagull Optimization Algorithm Based on Decomposition for Unmanned Aerial Vehicle Path Planning. - Peng Wang 198; Zhiliang Deng (IEEE Access, 2022)

An improved two-threshold quantum segmentation algorithm for NEQR image. - Lu Wang 041; Zhiliang Deng; Wenjie Liu 001 (Quantum Inf. Process., 2022)

A quantum segmentation algorithm based on background-difference method for NEQR image. - Lu Wang 041; Wenjie Liu 001; Zhiliang Deng (Quantum Inf. Comput., 2023)

A general reduced-order neural operator for spatio-temporal predictive learning on complex spatial domains. - Qinglu Meng; Yingguang Li; Zhiliang Deng; Xu Liu; Gengxiang Chen; Qiutong Wu; Changqing Liu; Xiaozhong Hao (CoRR, 2024)

DeFedHDP: Fully Decentralized Online Federated Learning for Heart Disease Prediction in Computational Health Systems. - Mengli Wei; Ju Yang; Zhongyuan Zhao 003; Xiaogang Zhang; Jinsong Li 005; Zhiliang Deng (IEEE Trans. Comput. Soc. Syst., 2024)

BV-NORM: A neural operator learning framework for parametric boundary value problems on complex geometric domains in engineering. - Zhiliang Deng; Qinglu Meng; Yingguang Li; Xu Liu 019; Gengxiang Chen; Lu Chen; Changqing Liu; Xiaozhong Hao (Eng. Appl. Artif. Intell., 2025)

A Bayesian approach for inverse potential problem with topological-Gaussian prior. - Zhiliang Deng; Xiaofei Guan; Haiyang Liu; Zhiyuan Wang; Xiaomei Yang (CoRR, 2025)