| Data heterogeneity-robust federated learning via group client selection in industrial iot Z Li, Y He, H Yu, J Kang, X Li, Z Xu, D Niyato IEEE Internet of Things Journal (IOTJ) 9 (18), 17844-17857, 2022 | 71 | 2022 |
| Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance Analysis J Kang, H Du, Z Li, Z Xiong, S Ma, D Niyato, Y Li IEEE Journal on Selected Areas in Communications (JSAC), 2022 | 57 | 2022 |
| Reinforcement learning–based QoS/QoE‐aware service function chaining in software‐driven 5G slices X Chen, Z Li, Y Zhang, R Long, H Yu, X Du, M Guizani Transactions on Emerging Telecommunications Technologies 29 (11), e3477, 2018 | 57 | 2018 |
| Byzantine Resistant Secure Blockchained Federated Learning at the Edge Z Li, H Yu, T Zhou, L Luo, M Fan, Z Xu, G Sun IEEE Network 35 (4), 295-301, 2021 | 40 | 2021 |
| Hfedms: Heterogeneous federated learning with memorable data semantics in industrial metaverse Z Li*, S Zeng*, H Yu, Z Zhang, L Luo, B Li, D Niyato IEEE Transactions on Cloud Computing (TCC), 2023 | 39* | 2023 |
| Mitigating Conflicting Transactions in Hyperledger Fabric Permissioned Blockchain for Delay-sensitive IoT Applications X Xu, X Wang, Z Li, H Yu, G Sun, S Maharjan, Y Zhang IEEE Internet of Things Journal (IOTJ), 2020 | 38 | 2020 |
| Enabling AI-Generated Content Services in Wireless Edge Networks Z Li*, H Du*, D Niyato, J Kang, Z Xiong, DI Kim IEEE Wireless Communications (WCM), 2024 | 37* | 2024 |
| Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization H Du*, R Zhang*, Y Liu*, J Wang*, Y Lin*, Z Li*, D Niyato, J Kang, Z Xiong, ... arXiv preprint arXiv:2308.05384, 2023 | 34 | 2023 |
| Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services Z Li*, H Du*, D Niyato, J Kang, Z Xiong, H Huang, S Mao IEEE Transactions on Mobile Computing (TMC), 2024 | 21* | 2024 |
| ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers Z Li, H Zhou, T Zhou, H Yu, Z Xu, G Sun IEEE Transactions on Services Computing (TSC), 2020 | 21 | 2020 |
| Heterogeneous federated learning via grouped sequential-to-parallel training Z Li*, S Zeng*, H Yu, Y He, Z Xu, D Niyato, H Yu International Conference on Database Systems for Advanced Applications …, 2022 | 16* | 2022 |
| Blockchain-Based Decentralized and Lightweight Anonymous Authentication for Federated Learning M Fan, Z Zhang, Z Li, G Sun, H Yu, M Guizani IEEE Transactions on Vehicular Technology (TVT), 2023 | 14 | 2023 |
| Online job scheduling for distributed machine learning in optical circuit switch networks L Liu, H Yu, G Sun, H Zhou, Z Li, S Luo Knowledge-Based Systems (KBS) 201, 106002, 2020 | 13 | 2020 |
| Cross-Silo Heterogeneous Model Federated Multitask Learning X Cao, Z Li, G Sun, H Yu, M Guizani Knowledge-Based Systems (KBS), 2023 | 11* | 2023 |
| DGT: A contribution-aware differential gradient transmission mechanism for distributed machine learning H Zhou, Z Li, Q Cai, H Yu, S Luo, L Luo, G Sun Future Generation Computer Systems (FGCS) 121, 35-47, 2021 | 10 | 2021 |
| ESIA: An Efficient and Stable Identity Authentication for Internet of Vehicles H Luo, J Zhang, X Li, Z Li, H Yu, G Sun, D Niyato IEEE Transactions on Vehicular Technology (TVT), 2023 | 6 | 2023 |
| TSEngine: Enable Efficient Communication Overlay in Distributed Machine Learning in WANs H Zhou, W Cai, Z Li, H Yu, L Liu, L Luo, G Sun IEEE Transactions on Network and Service Management (TNSM) 18 (4), 4846-4859, 2021 | 4 | 2021 |
| Joint Client Selection and Resource Allocation for Federated Learning in Mobile Edge Networks L Luo, Q Cai, Z Li, H Yu IEEE Wireless Communications and Networking Conference (WCNC), 1218-1223, 2022 | 2 | 2022 |
| Dgt: A communication-efficient differential gradient transmission protocol for distributed deep learning H Zhou, Z Li, H Yu Asia-Pacific Workshop on Networking (APNET), 2019 | 1 | 2019 |
| 广东省计算机学会优秀论文一等奖 康嘉文， 杜泓阳， 李宗航等 广东省计算机学会, 2023 | | 2023 |
Hongfang YuUESTCVerified email at uestc.edu.cn
