| The Application of Deep Reinforcement Learning to Distributed Spectrum Access in Dynamic Heterogeneous Environments with Partial Observations X Yue, J Yu, RM Buehrer IEEE Transactions on Wireless Communications, 1-1, 2020 | 61 | 2020 |
| Deep reinforcement learning for dynamic spectrum access in wireless networks Y Xu, J Yu, WC Headley, RM Buehrer MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 207-212, 2018 | 44 | 2018 |
| Applying deep-Q networks to target tracking to improve cognitive radar M Kozy, J Yu, RM Buehrer, A Martone, K Sherbondy 2019 IEEE Radar Conference (RadarConf), 1-6, 2019 | 34 | 2019 |
| Interference Classification Using Deep Neural Networks J Yu, M Alhassoun, RM Buehrer 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 2020 | 15 | 2020 |
| Human pose and seat occupancy classification with commercial MMWave WiFi J Yu, P Wang, T Koike-Akino, Y Wang, PV Orlik, H Sun 2020 IEEE Globecom Workshops (GC Wkshps, 1-6, 2020 | 13 | 2020 |
| Dealing with partial observations in dynamic spectrum access: Deep recurrent q-networks Y Xu, J Yu, RM Buehrer MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 865-870, 2018 | 11 | 2018 |
| Multi-modal recurrent fusion for indoor localization J Yu, P Wang, T Koike-Akino, PV Orlik ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 10 | 2022 |
| Centimeter-level indoor localization using channel state information with recurrent neural networks J Yu, HM Saad, RM Buehrer 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), 1317-1323, 2020 | 9 | 2020 |
| Multi-band Wi-Fi sensing with matched feature granularity J Yu, P Wang, T Koike-Akino, Y Wang, PV Orlik, RM Buehrer IEEE Internet of Things Journal 9 (23), 23810-23825, 2022 | 6 | 2022 |
| Direction-of-arrival estimation with a vector sensor using deep neural networks J Yu, WW Howard, D Tait, RM Buehrer 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-7, 2021 | 5 | 2021 |
| Cache-enabled dynamic spectrum access via deep recurrent Q-networks with partial observation Y Xu, J Yu, RM Buehrer 2019 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2019 | 5 | 2019 |
| Predicting bit error rate from meta information using random forests and partial data augmentation J Yu, Y Xu, HM Saad, RM Buehrer SoutheastCon 2021, 1-7, 2021 | 2 | 2021 |
| Direction of arrival estimation of digital sources with uni-vector-sensor ESPRIT D Tait, J Yu, W Howard, RM Buehrer 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 2 | 2020 |
| Predicting Bit Error Rate from Meta Information using Random Forests J Yu, Y Xu, HM Saad, RM Buehrer arXiv preprint arXiv:2007.05503, 2020 | 1 | 2020 |
| Model Order Estimation in the Presence of multipath Interference using Residual Convolutional Neural Networks JY William W. Howard, Yue Xu, R. Michael Buehrer https://ieeexplore.ieee.org/document/10375248, 2023 | | 2023 |
| Multiple Angles of Arrival Estimation using Neural Networks J Yu arXiv preprint arXiv:2002.00541, 2020 | | 2020 |
| Low-Delay Scheduling for IEEE 802.15.4e TSCH Networks JY Yu National Taiwan University, 2017 | | 2017 |
| Application of multiple interfaces for balanced tree routing in low-delay convergecast under IEEE 802.15. 4e TSCH M2M networks JY Yu, HY Hsieh 2016 IEEE International Conference on Communication Systems (ICCS), 1-5, 2016 | | 2016 |
R. Michael BuehrerVirginia TechAdresă de e-mail confirmată pe vt.edu
