Pain-FL: Personalized privacy-preserving incentive for federated learning P Sun, H Che, Z Wang, Y Wang, T Wang, L Wu, H Shao IEEE Journal on Selected Areas in Communications 39 (12), 3805-3820, 2021 | 95 | 2021 |
Towards personalized privacy-preserving incentive for truth discovery in mobile crowdsensing systems P Sun, Z Wang, L Wu, Y Feng, X Pang, H Qi, Z Wang IEEE Transactions on Mobile Computing 21 (1), 352-365, 2020 | 93 | 2020 |
6G network AI architecture for everyone-centric customized services Y Yang, M Ma, H Wu, Q Yu, X You, J Wu, C Peng, TSP Yum, AH Aghvami, ... IEEE Network 37 (5), 71-80, 2022 | 79 | 2022 |
Sparsest random sampling for cluster-based compressive data gathering in wireless sensor networks P Sun, L Wu, Z Wang, M Xiao, Z Wang IEEE Access 6, 36383-36394, 2018 | 51 | 2018 |
Towards personalized privacy-preserving incentive for truth discovery in crowdsourced binary-choice question answering P Sun, Z Wang, Y Feng, L Wu, Y Li, H Qi, Z Wang IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1133-1142, 2020 | 39 | 2020 |
DOT: Decentralized offloading of tasks in OFDMA-based heterogeneous computing networks L Wu, Z Liu, P Sun, H Chen, K Wang, Y Zuo, Y Yang IEEE Internet of Things Journal 9 (20), 20071-20082, 2022 | 23 | 2022 |
Joint user activity identification and channel estimation for grant-free NOMA: A spatial–temporal structure-enhanced approach L Wu, P Sun, Z Wang, Y Yang IEEE Internet of Things Journal 8 (15), 12339-12349, 2021 | 20 | 2021 |
Computation offloading in multi-cell networks with collaborative edge-cloud computing: A game theoretic approach L Wu, P Sun, Z Wang, Y Li, Y Yang IEEE Transactions on Mobile Computing 23 (3), 2093-2106, 2023 | 19 | 2023 |
Trustworthy and cost-effective cell selection for sparse mobile crowdsensing systems P Sun, Z Wang, L Wu, H Shao, H Qi, Z Wang IEEE Transactions on Vehicular Technology 70 (6), 6108-6121, 2021 | 18 | 2021 |
PDD: Partitioning DAG-topology DNNs for streaming tasks L Wu, G Gao, J Yu, F Zhou, Y Yang, T Wang IEEE Internet of Things Journal 11 (6), 9258-9268, 2023 | 16 | 2023 |
Sparse signal aloha: A compressive sensing-based method for uncoordinated multiple access L Wu, P Sun, M Xiao, Y Hu, Z Wang IEEE Communications Letters 21 (6), 1301-1304, 2017 | 14 | 2017 |
Efficient sparse signal transmission over a lossy link using compressive sensing L Wu, K Yu, D Cao, Y Hu, Z Wang Sensors 15 (8), 19880-19911, 2015 | 14 | 2015 |
Dresia: Deep reinforcement learning-enabled gray box approach for large-scale dynamic cyber-twin system simulation Z Lin, K Li, Y Yang, F Sun, L Wu, P Shi, S Ci, Y Zuo IEEE Open Journal of the Computer Society 2, 321-333, 2021 | 13 | 2021 |
pQueue-MAC: An energy efficient hybrid MAC protocol for event-driven sensor networks L Wu, S Zhuo, Z Wang, Z Wang International Journal of Distributed Sensor Networks 11 (2), 160167, 2015 | 12 | 2015 |
Temporal correlation enhanced sparse activity detection in MIMO enabled grant-free NOMA L Wu, Z Wang, P Sun, Y Yang IEEE Transactions on Vehicular Technology 71 (3), 2887-2899, 2021 | 9 | 2021 |
Data-aware hierarchical federated learning via task offloading M Ma, L Wu, W Liu, N Chen, Z Shao, Y Yang GLOBECOM 2022-2022 IEEE Global Communications Conference, 1-6, 2022 | 8 | 2022 |
Toward efficient compressed-sensing-based RFID identification: A sparsity-controlled approach L Wu, P Sun, Z Wang, Y Yang, Z Wang IEEE Internet of Things Journal 7 (8), 7714-7724, 2020 | 8 | 2020 |
CS-based framework for sparse signal transmission over lossy link L Wu, K Yu, Y Hu, Z Wang 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems …, 2014 | 7 | 2014 |
Integrating communication, sensing and computing in satellite Internet of Things: Challenges and opportunities Y Zuo, M Yue, H Yang, L Wu, X Yuan IEEE Wireless Communications, 2024 | 6 | 2024 |
Task offloading and resource allocation in CPU-GPU heterogeneous networks C Gong, M Ma, L Wu, W Liu, Y Zhou, Y Yang GLOBECOM 2022-2022 IEEE Global Communications Conference, 4492-4497, 2022 | 6 | 2022 |