| Deep residual learning meets OFDM channel estimation L Li, H Chen, HH Chang, L Liu IEEE Wireless Communications Letters 9 (5), 615-618, 2019 | 106 | 2019 |
| Gilbreth: A conveyor-belt based pick-and-sort industrial robotics application Y Zhang, L Li, M Ripperger, J Nicho, M Veeraraghavan, A Fumagalli 2018 Second IEEE International Conference on Robotic Computing (IRC), 17-24, 2018 | 39 | 2018 |
| Accelerating model-free reinforcement learning with imperfect model knowledge in dynamic spectrum access L Li, L Liu, J Bai, HH Chang, H Chen, JD Ashdown, J Zhang, Y Yi IEEE Internet of Things Journal 7 (8), 7517-7528, 2020 | 24 | 2020 |
| Low latency scalable point cloud communication in VANETs using V2I communication A Akhtar, J Ma, R Shafin, J Bai, L Li, Z Li, L Liu ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-7, 2019 | 15 | 2019 |
| RC-struct: A structure-based neural network approach for MIMO-OFDM detection J Xu, Z Zhou, L Li, L Zheng, L Liu IEEE Transactions on Wireless Communications 21 (9), 7181-7193, 2022 | 14 | 2022 |
| Autonomous object pick-and-sort procedure for industrial robotics application L Li, Y Zhang, M Ripperger, J Nicho, M Veeraraghavan, A Fumagalli International Journal of Semantic Computing 13 (02), 161-183, 2019 | 12 | 2019 |
| Reservoir computing meets extreme learning machine in real-time MIMO-OFDM receive processing L Li, L Liu, Z Zhou, Y Yi IEEE Transactions on Communications 70 (5), 3126-3140, 2022 | 11 | 2022 |
| A cost-efficient digital esn architecture on fpga for ofdm symbol detection VM Gan, Y Liang, L Li, L Liu, Y Yi ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (4), 1-15, 2021 | 11 | 2021 |
| Real-time machine learning for symbol detection in MIMO-OFDM systems Y Liang, L Li, Y Yi, L Liu IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 2068-2077, 2022 | 10 | 2022 |
| Federated learning in mobile edge computing: An edge-learning perspective for beyond 5G S Jere, Q Fan, B Shang, L Li, L Liu arXiv preprint arXiv:2007.08030, 2020 | 10 | 2020 |
| Reservoir computing meets Wi-Fi in software radios: Neural network-based symbol detection using training sequences and pilots L Li, L Liu, J Zhang, JD Ashdown, Y Yi 2020 29th Wireless and Optical Communications Conference (WOCC), 1-6, 2020 | 10 | 2020 |
| Haptic-enabled mixed reality system for mixed-initiative remote robot control Y Tian, L Li, A Fumagalli, Y Tadesse, B Prabhakaran arXiv preprint arXiv:2102.03521, 2021 | 5 | 2021 |
| Gilbreth 2.0: an industrial cloud robotics pick-and-sort application Y Zhang, L Li, J Nicho, M Ripperger, A Fumagalli, M Veeraraghavan 2019 Third IEEE International Conference on Robotic Computing (IRC), 38-45, 2019 | 5 | 2019 |
| Detect to learn: Structure learning with attention and decision feedback for MIMO-OFDM receive processing J Xu, L Li, L Zheng, L Liu IEEE Transactions on Communications, 2023 | 3 | 2023 |
| Learning to estimate: A real-time online learning framework for MIMO-OFDM channel estimation L Li, SS Rayala, J Xu, L Zheng, L Liu arXiv preprint arXiv:2305.13487, 2023 | 2 | 2023 |
| Real-time machine learning for multi-user massive MIMO: Symbol detection using Multi-Mode StructNet L Li, J Xu, L Zheng, L Liu IEEE Transactions on Wireless Communications, 2023 | 2 | 2023 |
| Real-time symbol detection for massive MIMO systems with multi-mode reservoir computing L Li, J Xu, L Liu ICC 2022-IEEE International Conference on Communications, 944-949, 2022 | 1 | 2022 |
| Learn to Detect and Detect to Learn: Structure Learning and Decision Feedback for MIMO-OFDM Receive Processing. J Xu, L Li, L Zheng, L Liu arXiv preprint arXiv:2208.09287, 2022 | 1 | 2022 |
| RC-Struct: Reservoir computing meets knowledge of structure in MIMO-OFDM J Xu, Z Zhou, L Li, L Zheng, L Liu 2021 IEEE Globecom Workshops (GC Wkshps), 1-5, 2021 | 1 | 2021 |
| Intelligent DSA-assisted clustered IoT networks: neuromorphic computing meets genetic algorithm Q Fan, J Bai, HH Chang, L Li, S Liu, J Huang, J Burgess, A Berlinsky, ... Proceedings of the 7th ACM International Conference on Nanoscale Computing …, 2020 | 1 | 2020 |
