Design of Small Reconfigurable Embedded Numerical Control System. - Dianhong Wang; Xiaoyong Ni (ICESS, 2008)

Implementation of dynamic reconfigurable interpolator for open architecture CNC by using FPGA. - Xiaoyong Ni; Hongjian Zhang; Dianhong Wang; Jian Luo (Int. J. Embed. Syst., 2017)

A Comparative Study of X ray Diffraction Pattern Obtaining Methods for Portable Diffractometer. - Fang Gong; Xiaoyong Ni; Dianhong Wang; Xingfeng Guo (J. Softw., 2017)

A Radar Electromagnetic Environment Sensing Method Based on Cyclic Spectral Algorithm. - Jurong Hu; Yu Zhang; Xujie Li 001; Xiaoyong Ni; Evans Baidoo (CSPS (3), 2018)

Spatial data mining and O-D hotspots discovery in cities based on an O-D hotspots clustering model using vehicles' GPS data: a case study in the morning rush hours in Beijing, China. - Xiaoyong Ni; Hong Huang; Shiwei Zhou; Boni Su; Yangyang Meng; Zhongliang Huang (EM-GIS@SIGSPATIAL, 2018)

Simulation of The Urban Waterlogging and Emergency Response Strategy at Subway Station's Entry-exit Platform in Heavy Rainstorm. - Xiaoyong Ni; Hong Huang; Shiwei Zhou; Boni Su; Jianchun Zheng; Wei Zhu; Huali Liu (ISCRAM, 2018)

Age of Information for Wireless Energy Harvesting Secondary Users in Cognitive Radio Networks. - Shiyang Leng; Xiaoyong Ni; Aylin Yener (MASS, 2019)

An ESPRIT Parameter Estimation Algorithm Based on Non-circular Signal for MIMO Radar. - Jurong Hu; Ying Tian; Evans Baidoo; Xiaoyong Ni; Lei Zha (WISATS (2), 2019)

An Urban Road-Traffic Commuting Dynamics Study Based on Hotspot Clustering and a New Proposed Urban Commuting Electrostatics Model. - Xiaoyong Ni; Hong Huang; Yangyang Meng; Shiwei Zhou; Boni Su (ISPRS Int. J. Geo Inf., 2019)

Revealing Spatial-Temporal Characteristics and Patterns of Urban Travel: A Large-Scale Analysis and Visualization Study with Taxi GPS Data. - Huihui Wang; Hong Huang; Xiaoyong Ni; Weihua Zeng (ISPRS Int. J. Geo Inf., 2019)

Scenario Prediction and Crisis Management for Rain-induced Waterlogging Based on High-precision Simulation. - Xiaoyong Ni; Hong Huang; Wenxuan Dong; Chao Chen; Boni Su; Anying Chen (ISCRAM, 2021)

Unsupervised Learned Kalman Filtering. - Guy Revach; Nir Shlezinger; Timur Locher; Xiaoyong Ni; Ruud J. G. van Sloun; Yonina C. Eldar (EUSIPCO, 2022)

RTSNet: Deep Learning Aided Kalman Smoothing. - Xiaoyong Ni; Guy Revach; Nir Shlezinger; Ruud J. G. van Sloun; Yonina C. Eldar (ICASSP, 2022)

Deep-Sea Membrane Condition Monitoring Based on Wireless Humidity Measurement. - Xiaoyong Ni; Xuhua Chen; Yedan Zhang; Wanjun Lu; Hongjian Zhang; Lifu Zhang; Xiaoyu Xiong (IEEE Access, 2022)

KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. - Guy Revach; Nir Shlezinger; Xiaoyong Ni; Adrià López Escoriza; Ruud J. G. van Sloun; Yonina C. Eldar (IEEE Trans. Signal Process., 2022)

RTSNet: Learning to Smooth in Partially Known State-Space Models. - Guy Revach; Xiaoyong Ni; Nir Shlezinger; Ruud J. G. van Sloun; Yonina C. Eldar (IEEE Trans. Signal Process., 2023)

Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation. - Xiaoyong Ni; Guy Revach; Nir Shlezinger (ICASSP, 2024)

Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces. - Luis Cubillos; Guy Revach; Matthew Mender; Joseph T. Costello; Hisham Temmar; Aren Hite; Diksha Anoop Kumar Zutshi; Dylan Wallace; Xiaoyong Ni; Madison Kelberman; Matt S. Willsey; Ruud van Sloun; et al. (NeurIPS, 2024)