| Toward an intelligent edge: Wireless communication meets machine learning G Zhu, D Liu, Y Du, C You, J Zhang, K Huang IEEE communications magazine 58 (1), 19-25, 2020 | 393 | 2020 |
| Privacy for free: Wireless federated learning via uncoded transmission with adaptive power control D Liu, O Simeone IEEE Journal on Selected Areas in Communications 39 (1), 170-185, 2020 | 103 | 2020 |
| Data-importance aware user scheduling for communication-efficient edge machine learning D Liu, G Zhu, J Zhang, K Huang IEEE Transactions on Cognitive Communications and Networking 7 (1), 265-278, 2020 | 46 | 2020 |
| Wireless data acquisition for edge learning: Data-importance aware retransmission D Liu, G Zhu, Q Zeng, J Zhang, K Huang IEEE Transactions on Wireless Communications 20 (1), 406-420, 2020 | 32 | 2020 |
| Wireless Data Acquisition for Edge Learning: Importance-Aware Retransmission D Liu, G Zhu, J Zhang, K Huang 2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019 | 16 | 2019 |
| Wireless federated langevin monte carlo: Repurposing channel noise for bayesian sampling and privacy D Liu, O Simeone IEEE Transactions on Wireless Communications, 2022 | 9 | 2022 |
| Communication, computing, and learning on the edge K Huang, G Zhu, C You, J Zhang, Y Du, D Liu 2018 IEEE International Conference on Communication Systems (ICCS), 268-273, 2018 | 9 | 2018 |
| Channel-driven monte carlo sampling for bayesian distributed learning in wireless data centers D Liu, O Simeone IEEE Journal on Selected Areas in Communications 40 (2), 562-577, 2021 | 7 | 2021 |
| Mitigating interference in content delivery networks by spatial signal alignment: The approach of shot-noise ratio D Liu, K Huang IEEE Transactions on Wireless Communications 17 (4), 2305-2318, 2018 | 5* | 2018 |
| Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo Y Zhang, D Liu, O Simeone 2022 IEEE 23rd International Workshop on Signal Processing Advances in …, 2022 | 2 | 2022 |
| Exploiting Diversity Via Importance-Aware User Scheduling for Fast Edge Learning D Liu, G Zhu, J Zhang, K Huang 2020 IEEE International Conference on Communications Workshops (ICC …, 2020 | 1 | 2020 |
| Harnessing Interference in Content Delivery by Spatial Signal Alignment D Liu, K Huang GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | | 2017 |
| 17 Differentially Private Wireless Federated Learning D Liu, A Sonee, O Simeone, S Rini | | |
Kaibin HuangProfessor, Dept. of EEE, The University of Hong Kong; IEEE Fellow; ISI Highly Cited ResearcherVerified email at eee.hku.hk
