Research Repository
Complete Publication List
A complete list of publications organized by year and citation count.
2025
[2] [1] Large-scale AI in telecom: Charting the roadmap for innovation, scalability, and enhanced digital experiences. A Shahid, A Kliks, A Al-Tahmeesschi, A Elbakary, A Nikou, A Maatouk, .... arXiv preprint arXiv:2503.04184. [Citations: 52] [Scholar]
[2] Cooperative generative AI for UAV-based scenarios: An intelligent cooperative framework. L Zhou, W Feng, Z Chen, T Ruan, S Leng, HH Yang, Y Fu, TQS Quek. IEEE Vehicular Technology Magazine. [Citations: 28] [Scholar]
2024
[1] [1] The role of federated learning in a wireless world with foundation models. Z Chen, HH Yang, YC Tay, KFE Chong, TQS Quek. IEEE Wireless Communications 31 (3), 42-49. [Citations: 32] [Scholar]
2023
[8] [1] Hierarchical personalized federated learning over massive mobile edge computing networks. C You, K Guo, HH Yang, TQS Quek. IEEE Transactions on Wireless Communications 22 (11), 8141-8157. [Citations: 48] [Scholar]
[2] Age of information under frame slotted ALOHA-based status updating protocol. Z Yue, HH Yang, M Zhang, N Pappas. IEEE Journal on Selected Areas in Communications 41 (7), 2071-2089. [Citations: 40] [Scholar]
[3] Hybrid learning: When centralized learning meets federated learning in the mobile edge computing systems. C Feng, HH Yang, S Wang, Z Zhao, TQS Quek. IEEE Transactions on Communications 71 (12), 7008-7022. [Citations: 37] [Scholar]
[4] Spectral co-distillation for personalized federated learning. Z Chen, H Yang, T Quek, KFE Chong. Advances in Neural Information Processing Systems 36, 8757-8773. [Citations: 37] [Scholar]
[5] Fed-grab: Federated long-tailed learning with self-adjusting gradient balancer. Z Xiao, Z Chen, S Liu, H Wang, Y Feng, J Hao, JT Zhou, J Wu, H Yang, .... Advances in Neural Information Processing Systems 36, 77745-77757. [Citations: 36] [Scholar]
[6] Optimal status updates for minimizing age of correlated information in IoT networks with energy harvesting sensors. C Xu, X Zhang, HH Yang, X Wang, N Pappas, D Niyato, TQS Quek. IEEE Transactions on Mobile Computing 23 (6), 6848-6864. [Citations: 27] [Scholar]
[7] Analysis of age of information in dual updating systems. Z Chen, D Deng, HH Yang, N Pappas, L Hu, Y Jia, M Wang, TQS Quek. IEEE Transactions on Wireless Communications 22 (11), 8003-8019. [Citations: 25] [Scholar]
[8] Edge intelligence over the air: Two faces of interference in federated learning. Z Chen, HH Yang, TQS Quek. IEEE Communications Magazine 61 (12), 62-68. [Citations: 25] [Scholar]
2022
[3] [1] Mobility-aware cluster federated learning in hierarchical wireless networks. C Feng, HH Yang, D Hu, Z Zhao, TQS Quek, G Min. IEEE Transactions on Wireless Communications 21 (10), 8441-8458. [Citations: 169] [Scholar]
[2] Joint scheduling and resource allocation for hierarchical federated edge learning. W Wen, Z Chen, HH Yang, W Xia, TQS Quek. IEEE Transactions on Wireless Communications 21 (8), 5857-5872. [Citations: 77] [Scholar]
[3] Semi-synchronous personalized federated learning over mobile edge networks. C You, D Feng, K Guo, HH Yang, C Feng, TQS Quek. IEEE Transactions on Wireless Communications 22 (4), 2262-2277. [Citations: 27] [Scholar]
2021
[8] [1] Reputation-based federated learning for secure wireless networks. Z Song, H Sun, HH Yang, X Wang, Y Zhang, TQS Quek. IEEE Internet of Things Journal 9 (2), 1212-1226. [Citations: 130] [Scholar]
[2] Understanding age of information in large-scale wireless networks. HH Yang, C Xu, X Wang, D Feng, TQS Quek. IEEE Transactions on Wireless Communications 20 (5), 3196-3210. [Citations: 91] [Scholar]
[3] Revisiting analog over-the-air machine learning: The blessing and curse of interference. HH Yang, Z Chen, TQS Quek, HV Poor. IEEE Journal of Selected Topics in Signal Processing 16 (3), 406-419. [Citations: 62] [Scholar]
[4] Optimal status update for caching enabled IoT networks: A dueling deep R-network approach. C Xu, Y Xie, X Wang, HH Yang, D Niyato, TQS Quek. IEEE Transactions on Wireless Communications 20 (12), 8438-8454. [Citations: 58] [Scholar]
[5] Dynamic scheduling for heterogeneous federated learning in private 5G edge networks. K Guo, Z Chen, HH Yang, TQS Quek. IEEE Journal of Selected Topics in Signal Processing 16 (1), 26-40. [Citations: 52] [Scholar]
[6] Spatiotemporal analysis for age of information in random access networks under last-come first-serve with replacement protocol. HH Yang, A Arafa, TQS Quek, HV Poor. IEEE Transactions on Wireless Communications 21 (4), 2813-2829. [Citations: 39] [Scholar]
[7] Towards cost minimization for wireless caching networks with recommendation and uncharted users’ feature information. Y Fu, Z Yang, TQS Quek, HH Yang. IEEE Transactions on Wireless Communications 20 (10), 6758-6771. [Citations: 37] [Scholar]
[8] Age of information in wireless networks: Spatiotemporal analysis and locally adaptive power control. M Song, HH Yang, H Shan, J Lee, TQS Quek. IEEE Transactions on Mobile Computing 22 (6), 3123-3136. [Citations: 26] [Scholar]
2020
[9] [1] Federated learning with differential privacy: Algorithms and performance analysis. K Wei, J Li, M Ding, C Ma, HH Yang, F Farokhi, S Jin, TQS Quek, HV Poor. IEEE Transactions on Information Forensics and Security 15, 3454-3469. [Citations: 3000] [Scholar]
[2] Scheduling Policies for Federated Learning in Wireless Networks. HH Yang, Z Liu, TQS Quek, HV Poor. IEEE Transactions on Communications 68 (1), 317–333. [Citations: 735] [Scholar]
[3] On safeguarding privacy and security in the framework of federated learning. C Ma, J Li, M Ding, HH Yang, F Shu, TQS Quek, HV Poor. IEEE Network 34 (4), 242-248. [Citations: 409] [Scholar]
[4] Multi-armed bandit-based client scheduling for federated learning. W Xia, TQS Quek, K Guo, W Wen, HH Yang, H Zhu. IEEE Transactions on Wireless Communications 19 (11), 7108-7123. [Citations: 344] [Scholar]
[5] Age-based scheduling policy for federated learning in mobile edge networks. HH Yang, A Arafa, TQS Quek, HV Poor. ICASSP 2020 IEEE International Conference on Acoustics, Speech and Signal Processing. [Citations: 234] [Scholar]
[6] Federated-learning-enabled intelligent fog radio access networks: Fundamental theory, key techniques, and future trends. Z Zhao, C Feng, HH Yang, X Luo. IEEE Wireless Communications 27 (2), 22-28. [Citations: 146] [Scholar]
[7] Optimizing information freshness in wireless networks: A stochastic geometry approach. HH Yang, A Arafa, TQS Quek, HV Poor. IEEE Transactions on Mobile Computing 20 (6), 2269-2280. [Citations: 91] [Scholar]
[8] AoI and energy consumption oriented dynamic status updating in caching enabled IoT networks. C Xu, X Wang, HH Yang, H Sun, TQS Quek. IEEE INFOCOM 2020 Workshops. [Citations: 41] [Scholar]
[9] Age of information in random access networks: A spatiotemporal study. HH Yang, A Arafa, TQS Quek, HV Poor. GLOBECOM 2020. [Citations: 30] [Scholar]
2019
[4] [1] Optimizing information freshness in computing-enabled IoT networks. C Xu, HH Yang, X Wang, TQS Quek. IEEE Internet of Things Journal 7 (2), 971-985. [Citations: 98] [Scholar]
[2] An incentive-aware job offloading control framework for multi-access edge computing. L Li, TQS Quek, J Ren, HH Yang, Z Chen, Y Zhang. IEEE Transactions on Mobile Computing 20 (1), 63-75. [Citations: 84] [Scholar]
[3] Spatiotemporal Analysis for SINR Coverage in Small Cell Networks. HH Yang, TQS Quek. IEEE Transactions on Communications. [Citations: 62] [Scholar]
[4] Enhancing Downlink Transmission in MIMO HetNet with Wireless Backhaul. S Ni, J Zhao, HH Yang, Y Gong. IEEE Transactions on Vehicular Technology. [Citations: 48] [Scholar]
2018
[3] [1] Traffic matching in 5G ultra-dense networks. Y Zhong, X Ge, HH Yang, T Han, Q Li. IEEE Communications Magazine 56 (8), 100-105. [Citations: 70] [Scholar]
[2] Delay analysis of random scheduling and round robin in small cell networks. HH Yang, Y Wang, TQS Quek. IEEE Wireless Communications Letters 7 (6), 978-981. [Citations: 49] [Scholar]
[3] Analysis of packet throughput in small cell networks under clustered dynamic TDD. J Li, A Huang, H Shan, HH Yang, TQS Quek. IEEE Transactions on Wireless Communications 17 (9), 5729-5742. [Citations: 31] [Scholar]
2017
[4] [1] Cell-edge-aware precoding for downlink massive MIMO cellular networks. HH Yang, G Geraci, TQS Quek, JG Andrews. IEEE Transactions on Signal Processing 65 (13), 3344-3358. [Citations: 60] [Scholar]
[2] Massive MIMO meets small cell: backhaul and cooperation. HH Yang, TQS Quek. Springer International Publishing. [Citations: 58] [Scholar]
[3] Heterogeneous cellular networks with LoS and NLoS transmissions—The role of massive MIMO and small cells. Q Zhang, HH Yang, TQS Quek, J Lee. IEEE Transactions on Wireless Communications 16 (12), 7996-8010. [Citations: 53] [Scholar]
[4] Packet throughput analysis of static and dynamic TDD in small cell networks. HH Yang, G Geraci, Y Zhong, TQS Quek. IEEE Wireless Communications Letters 6 (6), 742-745. [Citations: 42] [Scholar]
2016
[1] [1] Energy-efficient design of MIMO heterogeneous networks with wireless backhaul. HH Yang, G Geraci, TQS Quek. IEEE Transactions on Wireless Communications 15 (7), 4914-4927. [Citations: 111] [Scholar]
2015
[1] [1] Heterogeneous cellular network with energy harvesting-based D2D communication. HH Yang, J Lee, TQS Quek. IEEE Transactions on Wireless Communications 15 (2), 1406-1419. [Citations: 176] [Scholar]
2014
[1] [1] Green device-to-device communication with harvesting energy in cellular networks. HH Yang, J Lee, TQS Quek. International Conference on Wireless Communications and Signal Processing. [Citations: 25] [Scholar]