Intelligent tuning method of PID parameters based on iterative learning control for atomic force microscopy H Liu, Y Li, Y Zhang, Y Chen, Z Song, Z Wang, S Zhang, J Qian Micron 104, 26-36, 2018 | 36 | 2018 |
Graph learning for multi-satellite based spectrum sensing H Yuan, Z Chen, Z Lin, J Peng, Z Fang, Y Zhong, Z Song, X Wang, Y Gao 2023 IEEE 23rd International Conference on Communication Technology (ICCT …, 2023 | 22 | 2023 |
Real-time multi-gigahertz sub-Nyquist spectrum sensing system for mmwave Z Song, H Qi, Y Gao Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing …, 2019 | 22 | 2019 |
Adaptive compressed spectrum sensing for multiband signals J Yang, Z Song, Y Gao, X Gu, Z Feng IEEE transactions on wireless communications 20 (11), 7642-7654, 2021 | 21 | 2021 |
Satsense: Multi-satellite collaborative framework for spectrum sensing H Yuan, Z Chen, Z Lin, J Peng, Z Fang, Y Zhong, Z Song, Y Gao arXiv preprint arXiv:2405.15542, 2024 | 20 | 2024 |
A survey on spectrum sensing and learning technologies for 6G Z Song, Y Gao, R Tafazolli IEICE Transactions on Communications 104 (10), 1207-1216, 2021 | 19 | 2021 |
Approaching sub-nyquist boundary: Optimized compressed spectrum sensing based on multicoset sampler for multiband signal Z Song, J Yang, H Zhang, Y Gao IEEE Transactions on Signal Processing 70, 4225-4238, 2022 | 18 | 2022 |
A homemade atomic force microscope based on a quartz tuning fork for undergraduate instruction Y Li, L Zhang, G Shan, Z Song, R Yang, H Li, J Qian American Journal of Physics 84 (6), 478-482, 2016 | 15 | 2016 |
Sums: Sniffing unknown multiband signals under low sampling rates J Peng, Z Chen, Z Lin, H Yuan, Z Fang, L Bao, Z Song, Y Li, J Ren, Y Gao IEEE Transactions on Mobile Computing, 2024 | 14 | 2024 |
Wavelet analysis of higher harmonics in tapping mode atomic force microscopy Z Wang, J Qian, Y Li, Y Zhang, Z Song, Z Dou, R Lin Micron 118, 58-64, 2019 | 13 | 2019 |
A fast image reconstruction method based on Bayesian compressed sensing for the undersampled AFM data with noise Y Zhang, Y Li, Z Wang, Z Song, R Lin, J Qian, J Yao Measurement Science and Technology 30 (2), 025402, 2019 | 13 | 2019 |
A high-Q AFM sensor using a balanced trolling quartz tuning fork in the liquid Y Zhang, Y Li, Z Song, R Lin, Y Chen, J Qian Sensors 18 (5), 1628, 2018 | 11 | 2018 |
Time-frequency analysis of the tip motion in liquids using the wavelet transform in dynamic atomic force microscopy Z Wang, J Qian, Y Li, Y Zhang, G Shan, Z Dou, Z Song, R Lin Nanotechnology 29 (38), 385702, 2018 | 9 | 2018 |
Sub-Nyquist spectrum sensing and learning challenge Y Gao, Z Song, H Zhang, S Fuller, A Lambert, Z Ying, P Mähönen, Y Eldar, ... Frontiers of Computer Science 15, 1-5, 2021 | 8 | 2021 |
Nonuniform Sampling Pattern Design for Compressed Spectrum Sensing in Mobile Cognitive Radio Networks Z Song, Y She, J Yang, J Peng, Y Gao, R Tafazolli IEEE Transactions on Mobile Computing 23 (9), 8680-8693, 2024 | 7 | 2024 |
Adversarial autoencoder empowered joint anomaly detection and signal reconstruction from sub-nyquist samples H Zhang, Z Song, J Yang, Y Gao IEEE Transactions on Cognitive Communications and Networking 9 (3), 618-628, 2023 | 7 | 2023 |
Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection Z Song, O Simeone, B Rajendran 2024 IEEE 25th International Workshop on Signal Processing Advances in …, 2024 | 5 | 2024 |
A novel method to remove impulse noise from atomic force microscopy images based on Bayesian compressed sensing Y Zhang, Y Li, Z Song, Z Wang, J Qian, J Yao Beilstein Journal of Nanotechnology 10 (1), 2346-2356, 2019 | 5 | 2019 |
A double-electrolyte etching method of high-quality tungsten probe for undergraduate scanning tunneling microscopy and atomic force microscopy experiments Y Li, Z Song, Y Zhang, Z Wang, Z Xu, R Lin, J Qian European Journal of Physics 40 (2), 025004, 2019 | 5 | 2019 |
Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks Z Song, P Katti, O Simeone, B Rajendran 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS), 2024 | 3 | 2024 |