Machine Learning Promoting Extreme Simplification of Spectroscopy Equipment. - Jianchao Lee; Qiannan Duan; Sifan Bi; Ruen Luo; Yachao Lian; Hanqiang Liu 001; Ruixing Tian; Jiayuan Chen; Guodong Ma; Jinhong Gao; Zhaoyi Xu (CoRR, 2018)

An Earthworm-like Soft Robot with Integration of Single Pneumatic Actuator and Cellular Structures for Peristaltic Motion. - Mingcan Liu; Zhaoyi Xu; Jing Jie Ong; Jian Zhu 005; Wen Feng Lu (IROS, 2020)

Analysis of the environmental trend of network finance and its influence on traditional commercial banks. - Zhaoyi Xu; Xinyu Cheng; Kefei Wang; Shenggang Yang (J. Comput. Appl. Math., 2020)

From Regression Analysis to Deep Learning: Development of Improved Proxy Measures of State-Level Household Gun Ownership. - David Benjamin Gomez; Zhaoyi Xu; Joseph Homer Saleh (Patterns, 2020)

Machine learning for helicopter accident analysis using supervised classification: Inference, prediction, and implications. - Zhaoyi Xu; Joseph Homer Saleh; Rachmat Subagia (Reliab. Eng. Syst. Saf., 2020)

Research on Tourist Hotel Product Development in Caidian District of Wuhan Based on Hygiene-motivational Factors. - Bingwang Xue; Zhaoyi Xu; Hong Xue (EBIMCS, 2021)

Learning to Select for Mimo Radar Based on Hybrid Analog-Digital Beamforming. - Zhaoyi Xu; Fan Liu 005; Konstantinos I. Diamantaras; Christos Masouros; Athina P. Petropulu (ICASSP, 2021)

Active Environmental Monitoring and Anomaly Search System for Space Habitat With Markov Decision Process and Active Sensing. - Yanjie Guo; Zhaoyi Xu; Joseph Homer Saleh (IEEE Access, 2021)

Tackling Small Data Challenges in Visual Fire Detection: A Deep Convolutional Generative Adversarial Network Approach. - Zhaoyi Xu; Yanjie Guo; Joseph Homer Saleh (IEEE Access, 2021)

Advances Toward the Next Generation Fire Detection: Deep LSTM Variational Autoencoder for Improved Sensitivity and Reliability. - Zhaoyi Xu; Yanjie Guo; Joseph Homer Saleh (IEEE Access, 2021)

Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery. - Zhaoyi Xu; Yanjie Guo; Joseph Homer Saleh (CoRR, 2021)

Machine learning for reliability engineering and safety applications: Review of current status and future opportunities. - Zhaoyi Xu; Joseph Homer Saleh (Reliab. Eng. Syst. Saf., 2021)

Toward a living soft microrobot through optogenetic locomotion control of Caenorhabditis elegans. - Xianke Dong; Sina Kheiri; Yangning Lu; Zhaoyi Xu; Mei Zhen; Xinyu Liu 002 (Sci. Robotics, 2021)

Collaborative Allocation and Optimization of Path Planning for Static and Mobile Sensors in Hybrid Sensor Networks for Environment Monitoring and Anomaly Search. - Yanjie Guo; Zhaoyi Xu; Joseph S. Shin (Sensors, 2021)

Application Analysis of Forecasting Model Based on BP Neural Network Algorithm. - Zhaoyi Xu (EBIMCS, 2022)

Cramér-Rao Bound and Antenna Selection Optimization for Dual Radar-Communication Design. - Zhaoyi Xu; Fan Liu 005; Athina P. Petropulu (ICASSP, 2022)

Phased Array With Improved Beamforming Capability via Use of Double Phase Shifters. - Zhaoyi Xu; Athina P. Petropulu (SAM, 2022)

Speech privacy attack via vibrations from room objects leveraging a phased-MIMO radar. - Cong Shi 004; Tianfang Zhang; Zhaoyi Xu; Shuping Li; Yichao Yuan; Athina P. Petropulu; Chung-Tse Michael Wu; Yingying Chen 001 (MobiSys, 2022)

DFRC with Improved Communication-Sensing Trade-off via Private Subcarrier Permutations and Pairing with Antennas. - Zhaoyi Xu; Athina P. Petropulu (WCNC, 2022)

An empirical examination of UTAUT model and social network analysis. - Zhaoyi Xu; Yingtong Li; Liuchang Hao (Libr. Hi Tech, 2022)

VisPro: a prognostic SqueezeNet and non-stationary Gaussian process approach for remaining useful life prediction with uncertainty quantification. - Zhaoyi Xu; Yanjie Guo; Joseph Homer Saleh (Neural Comput. Appl., 2022)

A physics-informed dynamic deep autoencoder for accurate state-of-health prediction of lithium-ion battery. - Zhaoyi Xu; Yanjie Guo; Joseph Homer Saleh (Neural Comput. Appl., 2022)

Accurate Remaining Useful Life Prediction With Uncertainty Quantification: A Deep Learning and Nonstationary Gaussian Process Approach. - Zhaoyi Xu; Yanjie Guo; Joseph Homer Saleh (IEEE Trans. Reliab., 2022)

Novel Architecture and Machine Learning Models for System prognostic and Remaining Useful Life Prediction with uncertainty Quantification. - Zhaoyi Xu (2022)

Privacy Leakage via Speech-induced Vibrations on Room Objects through Remote Sensing based on Phased-MIMO. - Cong Shi 004; Tianfang Zhang; Zhaoyi Xu; Shuping Li; Donglin Gao; Changming Li; Athina P. Petropulu; Chung-Tse Michael Wu; Yingying Chen 001 (CCS, 2023)

Flexible Beam Design for Vital Sign Monitoring Using a Phased Array Equipped With Double-Phase Shifters. - Zhaoyi Xu; Donglin Gao; Shuping Li; Chung-Tse Michael Wu; Athina P. Petropulu (ICASSP, 2023)

Gflownets for Sensor Selection. - Spilios Evmorfos; Zhaoyi Xu; Athina P. Petropulu (MLSP, 2023)

Poster: Extracting Speech from Subtle Room Object Vibrations Using Remote mmWave Sensing. - Cong Shi 004; Tianfang Zhang; Zhaoyi Xu; Shuping Li; Donglin Gao; Changming Li; Athina P. Petropulu; Chung-Tse Michael Wu; Yingying Chen 001 (MobiHoc, 2023)

A Bandwidth Efficient Dual-Function Radar Communication System Based on a MIMO Radar Using OFDM Waveforms. - Zhaoyi Xu; Athina P. Petropulu (IEEE Trans. Signal Process., 2023)

How Secure is the Time-Modulated Array-Enabled OFDM Directional Modulation? - Zhihao Tao; Zhaoyi Xu; Athina P. Petropulu (ICASSP, 2024)

Time-Modulated Intelligent Reflecting Surface for Waveform Security. - Zhaoyi Xu; Athina P. Petropulu (ICASSP, 2024)

Phased Array with Non-Ideal Double Phase Shifters for Multi-Target Vital Sign Monitoring. - Zhaoyi Xu; Donglin Gao; Shuping Li; Chung-Tse Michael Wu; Athina P. Petropulu (ISBI, 2024)

Sensor Selection via GFlowNets: A Deep Generative Modeling Framework to Navigate Combinatorial Complexity. - Spilios Evmorfos; Zhaoyi Xu; Athina P. Petropulu (CoRR, 2024)

On Adapting Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction. - Tao Hong 006; Zhaoyi Xu; Jason Hu; Jeffrey A. Fessler (CoRR, 2024)

Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction. - Tao Hong 006; Zhaoyi Xu; Se Young Chun; Luis Hernandez-Garcia; Jeffrey A. Fessler (CoRR, 2025)