| Machine learning meets omics: applications and perspectives R Li, L Li, Y Xu, J Yang Briefings in Bioinformatics 23 (1), bbab460, 2022 | 128 | 2022 |
| Deep reinforcement learning approaches for content caching in cache-enabled D2D networks L Li, Y Xu, J Yin, W Liang, X Li, W Chen, Z Han IEEE Internet of Things Journal 7 (1), 544-557, 2019 | 128 | 2019 |
| Deep learning PM2.5 concentrations with bidirectional LSTM RNN W Tong, L Li, X Zhou, A Hamilton, K Zhang Air Quality, Atmosphere & Health 12, 411-423, 2019 | 124 | 2019 |
| A prediction-based charging policy and interference mitigation approach in the wireless powered Internet of Things L Li, Y Xu, Z Zhang, J Yin, W Chen, Z Han IEEE Journal on Selected Areas in Communications 37 (2), 439-451, 2018 | 98 | 2018 |
| Liquid marble coalescence and triggered microreaction driven by acoustic levitation Z Chen, D Zang, L Zhao, M Qu, X Li, X Li, L Li, X Geng Langmuir 33 (25), 6232-6239, 2017 | 94 | 2017 |
| Resource allocation for NOMA-MEC systems in ultra-dense networks: A learning aided mean-field game approach L Li, Q Cheng, X Tang, T Bai, W Chen, Z Ding, Z Han IEEE Transactions on Wireless Communications 20 (3), 1487-1500, 2020 | 88 | 2020 |
| Automatic modulation recognition: A few-shot learning method based on the capsule network L Li, J Huang, Q Cheng, H Meng, Z Han IEEE Wireless Communications Letters 10 (3), 474-477, 2020 | 73 | 2020 |
| A review on mycelial pellets as biological carriers: Wastewater treatment and recovery for resource and energy L Li, T Liang, M Zhao, Y Lv, Z Song, T Sheng, F Ma Bioresource Technology 355, 127200, 2022 | 69 | 2022 |
| Downlink transmit power control in ultra-dense UAV network based on mean field game and deep reinforcement learning L Li, Q Cheng, K Xue, C Yang, Z Han IEEE Transactions on Vehicular Technology 69 (12), 15594-15605, 2020 | 64 | 2020 |
| Organic pollutants removal from aqueous solutions using metal-organic frameworks (MOFs) as adsorbents: A review L Li, J Han, X Huang, S Qiu, X Liu, L Liu, M Zhao, J Qu, J Zou, J Zhang Journal of Environmental Chemical Engineering 11 (6), 111217, 2023 | 58 | 2023 |
| Millimeter-wave networking in the sky: A machine learning and mean field game approach for joint beamforming and beam-steering L Li, H Ren, Q Cheng, K Xue, W Chen, M Debbah, Z Han IEEE Transactions on Wireless Communications 19 (10), 6393-6408, 2020 | 54 | 2020 |
| A fast algorithm for nonnegative matrix factorization and its convergence LX Li, L Wu, HS Zhang, FX Wu IEEE transactions on neural networks and learning systems 25 (10), 1855-1863, 2014 | 53 | 2014 |
| Enhanced reconfigurable intelligent surface assisted mmWave communication: A federated learning approach L Li, D Ma, H Ren, D Wang, X Tang, W Liang, T Bai China Communications 17 (10), 115-128, 2020 | 51 | 2020 |
| Distributed rate optimization for intelligent reflecting surface with federated learning D Ma, L Li, H Ren, D Wang, X Li, Z Han 2020 IEEE International Conference on Communications Workshops (ICC …, 2020 | 49 | 2020 |
| A comprehensive review of one-stage networks for object detection Y Zhang, X Li, F Wang, B Wei, L Li 2021 IEEE International Conference on Signal Processing, Communications and …, 2021 | 47 | 2021 |
| Latency optimization for multi-user NOMA-MEC offloading using reinforcement learning P Yang, L Li, W Liang, H Zhang, Z Ding 2019 28th Wireless and Optical Communications Conference (WOCC), 1-5, 2019 | 47 | 2019 |
| Minimization of offloading delay for two-tier UAV with mobile edge computing J Liu, L Li, F Yang, X Liu, X Li, X Tang, Z Han 2019 15th International Wireless Communications & Mobile Computing …, 2019 | 46 | 2019 |
| Delay optimization in multi-UAV edge caching networks: A robust mean field game L Li, M Wang, K Xue, Q Cheng, D Wang, W Chen, M Pan, Z Han IEEE Transactions on Vehicular Technology 70 (1), 808-819, 2020 | 44 | 2020 |
| Diabetes and associated cardiovascular complications in American Indians/Alaskan Natives: a review of risks and prevention strategies A Poudel, JY Zhou, D Story, L Li Journal of diabetes research 2018 (1), 2742565, 2018 | 42 | 2018 |
| Power load forecasting based on the combined model of LSTM and XGBoost C Li, Z Chen, J Liu, D Li, X Gao, F Di, L Li, X Ji Proceedings of the 2019 the international conference on pattern recognition …, 2019 | 40 | 2019 |
Zhu HanUniversity of HoustonPatvirtintas el. paštas uh.edu