| Scattering mechanisms and modeling for terahertz wireless communications S Ju, SHA Shah, MA Javed, J Li, G Palteru, J Robin, Y Xing, O Kanhere, ... ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-7, 2019 | 110 | 2019 |
| Advanced heterogeneous feature fusion machine learning models and algorithms for improving indoor localization L Zhang, N Xiao, W Yang, J Li Sensors 19 (1), 125, 2019 | 15 | 2019 |
| Cramer-rao lower bound analysis of data fusion for fingerprinting localization in non-line-of-sight environments J Li, IT Lu, J Lu IEEE Access 9, 18607-18624, 2021 | 11 | 2021 |
| Robust kernel-based machine learning localization using NLOS TOAs or TDOAs J Li, IT Lu, JS Lu, L Zhang 2017 IEEE Long Island Systems, Applications and Technology Conference (LISAT …, 2017 | 10 | 2017 |
| Hybrid fingerprinting and ray extension localization in nlos regions J Li, IT Lu, JS Lu IEEE Transactions on Intelligent Transportation Systems 23 (12), 23503-23516, 2022 | 8 | 2022 |
| Heterogeneous feature machine learning for performance-enhancing indoor localization L Zhang, N Xiao, J Li, W Yang 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-5, 2018 | 6 | 2018 |
| Bayesian linear regression with cauchy prior and its application in sparse mimo radar J Li, R Wu, IT Lu, D Ren IEEE Transactions on Aerospace and Electronic Systems, 2023 | 4 | 2023 |
| Fast forward-backward hankel matrix completion for automotive radar DoA estimation using sparse linear arrays S Sun, Y Wen, R Wu, D Ren, J Li 2023 IEEE Radar Conference (RadarConf23), 01-06, 2023 | 3 | 2023 |
| Circular Convolutional Learned ISTA for Automotive Radar DOA Estimation J Youn, S Ravindran, R Wu, J Li, R van Sloun 2022 19th European Radar Conference (EuRAD), 273-276, 2022 | 3 | 2022 |
| DOA-based localization algorithms under NLOS conditions J Li, IT Lu, JS Lu 2018 IEEE Long Island Systems, Applications and Technology Conference (LISAT …, 2018 | 3 | 2018 |
| Performance Evaluation and Analysis of Thresholding-based Interference Mitigation for Automotive Radar Systems J Li, J Youn, R Wu, J Overdevest, S Sun arXiv preprint arXiv:2402.14018, 2024 | 1 | 2024 |
| Radar detection using angle of arrival estimation based on scaling parameter with pruned sparse learning of support vector RH Wu, J Li, M Brett, MA Staudenmaier US Patent App. 17/185,162, 2022 | 1 | 2022 |
| Erratum to “Bayesian Linear Regression With Cauchy Prior and Its Application in Sparse MIMO Radar” J Li, R Wu, IT Lu, D Ren IEEE Transactions on Aerospace and Electronic Systems 60 (2), 2490-2490, 2024 | | 2024 |
| Radar-based detection using angle of arrival estimation based on sparse array processing RH Wu, J Li, M Brett, MA Staudenmaier US Patent 11,927,664, 2024 | | 2024 |
| Radar-based detection using sparse array processing RH Wu, J Li, M Brett, MA Staudenmaier US Patent 11,906,651, 2024 | | 2024 |
| Radar communication with interference suppression RH Wu, J Li, C Tuschen US Patent App. 18/453,931, 2023 | | 2023 |
| Generalized Optimization of Sparse Antenna Arrays for High-Resolution Automotive Radar Imaging L Xu, S Sun, R We, D Ren, J Li 2023 57th Asilomar Conference on Signals, Systems, and Computers, 1215-1219, 2023 | | 2023 |
| Direction of arrival (doa) estimation using circular convolutional network J Youn, S Ravindran, R Van Sloun, RH Wu, J Li US Patent App. 17/702,695, 2023 | | 2023 |
| Radar communication with interference suppression RH Wu, J Li, M Brett, MA Staudenmaier US Patent App. 17/245,613, 2022 | | 2022 |
| Instance-Based Learning and Bayesian Learning with Applications to Wireless Localization and Automotive Radar J Li New York University Tandon School of Engineering, 2021 | | 2021 |
I-Tai LuDepartment of Electrical and Computer Engineering, Tandon School of Engineering, New York UniversityVerified email at nyu.edu
