S/N | Title of Publication |
1 | Feng, C., Zhao, Z., Wang, Y., Quek, T. Q., & Peng, M. (2021). On the Design of Federated Learning in the Mobile Edge Computing Systems. IEEE Transactions on Communications. |
2 | Yang, P., Xi, X., Guo, K., Quek, T. Q., Chen, J., & Cao, X. (2021). Proactive UAV Network Slicing for URLLC and Mobile Broadband Service Multiplexing. IEEE Journal on Selected Areas in Communications. |
3 | Li, L., Siew, M., Chen, Z., & Quek, T. Q. (2021). Optimal Pricing for Job Offloading in the MEC System with Two Priority Classes. IEEE Transactions on Vehicular Technology. |
4 | Liu, A., Yang, R., Quek, T. Q., & Zhao, M. J. (2021). Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling. IEEE Transactions on Signal Processing, 69, 3000-3015. |
5 | Fu, Y., Salaün, L., Yang, X., Wen, W., & Quek, T. Q. (2021). Caching Efficiency Maximization for Device-to-Device Communication Networks: A Recommend to Cache Approach. IEEE Transactions on Wireless Communications. |
6 | Fu, Y., Yang, Z., Quek, T. Q., & Yang, H. H. (2021). Towards Cost Minimization for Wireless Caching Networks With Recommendation and Uncharted Users’ Feature Information. IEEE Transactions on Wireless Communications. |
7 | Zhao, M., Yu, J., Li, W., Liu, D., Yao, S., Feng, Wei., She, C., & Quek, T. Q. (2021). Energy-Aware Task Offloading and Resource Allocation for Time-Sensitive Services in Mobile Edge Computing Systems. IEEE Transactions on Vehicular Technology. |
8 | Wang, Y., Feng, W., Wang, J., & Quek, T. Q. (2021). Hybrid Satellite-UAV-Terrestrial Networks for 6G Ubiquitous Coverage: A Maritime Communications Perspective. IEEE Journal on Selected Areas in Communications. |
9 | Han, Y., Jin, S., Li, X., Wen, C. -K., & Quek, T. Q. (2021). Multi-Domain Channel Extrapolation for FDD Massive MIMO Systems. IEEE Transactions on Communications. |
10 | He, D., Wang, Z., Quek, T. Q., Chen, S., & Hanzo, L. (2021). Deep Learning-Assisted TeraHertz QPSK Detection Relying on Single-Bit Quantization. IEEE Transactions on Communications. |
11 | Song, M., Shan, H., Yang, H. H., & Quek, T. Q. (2022). Joint Optimization of Fractional Frequency Reuse and Cell Clustering for Dynamic TDD Small Cell Networks. IEEE Transactions on Wireless Communications. |
12 | Chen, Z., Liu, S., Jia, Y., Wang, M., & Quek, T. Q. (2022). A Novel Hybrid Duplex Scheme for Relay Channel: Joint Optimization of Full-Duplex Duty Cycle and Source Power Allocation. IEEE Transactions on Communications, 70(4), 2435-2450. |
13 | Chu, Y., Feng, D., Liu, Z., Zhao, Z., Wang, Z., Xia, X. G., & Quek, T. Q. (2021). Hybrid-Learning-Based Operational Visual Quality Inspection for Edge-Computing-Enabled IoT System. IEEE Internet of Things Journal, 9(7), 4958-4972. |
14 | Fu, Y., Zhang, Y., Zhu, Q., Chen, M., & Quek, T. Q. (2022). Joint Content Caching, Recommendation, and Transmission Optimization for Next Generation Multiple Access Networks. IEEE Journal on Selected Areas in Communications, 40(5), 1600-1614. |
15 | Sun, C., Cai, K., Song, G., Quek, T. Q., & Fei, Z. (2022). Belief Propagation based Joint Detection and Decoding for Resistive Random Access Memories. IEEE Transactions on Communications, 70(4), 2227-2239. |
16 | Sun, X., Zhao, F., Yang, H. H., Zhan, W., Wang, X., & Quek, T. Q. (2021). Optimizing age of information in random-access poisson networks. IEEE Internet of Things Journal, 9(9), 6816-6829. |
17 | Yang, H. H., Arafa, A., Quek, T. Q., & Poor, H. V. (2021). Spatiotemporal Analysis for Age of Information in Random Access Networks Under Last-Come First-Serve With Replacement Protocol. IEEE Transactions on Wireless Communications, 21(4), 2813-2829. |
18 | Yang, H. H., Chen, Z., Quek, T. Q., & Poor, H. V. (2021). Revisiting analog over-the-air machine learning: The blessing and curse of interference. IEEE Journal of Selected Topics in Signal Processing, 16(3), 406-419. |
19 | Zhang, X., Chen, Y., Sun, X., Zhu, G., Quek, T. Q., & Zhong, Z. (2021). Uplink-Downlink Duality of Multi-Cell Non-Orthogonal Multiple Access Systems. IEEE Transactions on Wireless Communications. |
20 | Zhang, Y., He, Y., Wang, X., Sun, H., & Quek, T. Q. (2022). Modeling and Performance Analysis of Statistical Priority-based Multiple Access: A Stochastic Geometry Approach. IEEE Internet of Things Journal. |
21 | Fu, Y., Yu, Q., Wong, A. K., Shi, Z., Wang, H., & Quek, T. Q. (2021). Exploiting coding and recommendation to improve cache efficiency of reliability-aware wireless edge caching networks. IEEE Transactions on Wireless Communications, 20(11), 7243-7256. |
22 | Guo, K., Chen, Z., Yang, H. H., & Quek, T. Q. (2021). Dynamic Scheduling for Heterogeneous Federated Learning in Private 5G Edge Networks. IEEE Journal of Selected Topics in Signal Processing, 16(1), 26-40. |
23 | Han, Y., Jin, S., Wen, C. K., & Quek, T. Q. (2022). Localization and Channel Reconstruction for Extra Large RIS-Assisted Massive MIMO Systems. IEEE Journal of Selected Topics in Signal Processing. |
24 | Jang, H. S., Lee, H., Quek, T. Q., & Shin, H. (2021). Deep learning-based cellular random access framework. IEEE Transactions on Wireless Communications, 20(11), 7503-7518. |
25 | Lee, H., Lee, S. H., & Quek, T. Q. (2022). MOSAIC: Multi-objective Optimization Strategy for AI-aided Internet-of-Things Communications. IEEE Internet of Things Journal. |
26 | Lee, H., Lee, S. H., & Quek, T. Q. (2021). Learning Autonomy in Management of Wireless Random Networks. IEEE Transactions on Wireless Communications, 20(12), 8039-8053. |
27 | Li, C., She, C., Yang, N., & Quek, T. Q. (2021). Secure transmission rate of short packets with queueing delay requirement. IEEE Transactions on Wireless Communications, 21(1), 203-218. |
28 | Song, Z., Sun, H., Yang, H. H., Wang, X., Zhang, Y., & Quek, T. Q. (2021). Reputation-based Federated Learning for Secure Wireless Networks. IEEE Internet of Things Journal, 9(2), 1212-1226. |
29 | Wang, X., Fang, M., Xu, C., Yang, H. H., Sun, X., Chen, X., & Quek, T. Q. (2021). When to Preprocess? Keeping Information Fresh for Computing-Enable Internet of Things. IEEE Internet of Things Journal, 9(6), 4303-4317. |
30 | Wen, W., Chen, Z., Yang, H. H., Xia, W., & Quek, T. Q. (2022). Joint scheduling and resource allocation for hierarchical federated edge learning. IEEE Transactions on Wireless Communications. |
31 | Wu, Y. C., Lin, C., & Quek, T. Q. (2021). A Robust Distributed Hierarchical Online Learning Approach for Dynamic MEC Networks. IEEE Journal on Selected Areas in Communications, 40(2), 641-656. |
32 | Wu, W., Liu, R., Yang, Q., & Quek, T. Q. (2022). Learning-Based Robust Resource allocation for D2D Underlaying Cellular Network. IEEE Transactions on Wireless Communications. |
33 | Wu, Y., Song, Y., Wang, T., Qian, L., & Quek, T. Q. (2022). Non-Orthogonal Multiple Access Assisted Federated Learning via Wireless Power Transfer: A Cost-Efficient Approach. IEEE Transactions on Communications, 70(4), 2853-2869. |
34 | Xu, C., Xie, Y., Wang, X., Yang, H. H., Niyato, D., & Quek, T. Q. (2021). Optimal status update for caching enabled IoT networks: A dueling deep R-Network approach. IEEE Transactions on Wireless Communications, 20(12), 8438-8454. |
35 | Yang, P., Guo, K., Xi, X., Quek, T. Q., Cao, X., & Liu, C. (2021). Fresh, fair and energy-efficient content provision in a private and cache-enabled UAV network. IEEE Journal of Selected Topics in Signal Processing, 16(1), 97-112. |
36 | Zhao, Z., Feng, C., Hong, W., Jiang, J., Jia, C., Quek, T. Q., & Peng, M. (2021). Federated learning with non-iid data in wireless networks. IEEE Transactions on Wireless Communications, 21(3), 1927-1942. |
37 | Zhang, J., Xu, X., Han, S., Zhang, K., Zhang, P., & Quek, T. Q. (2022). Intelligent Ultra-Reliable and Low Latency Communications: Flexibility and Adaptation. IEEE Internet of Things Journal. |
38 | Yang, H., Lam, K. Y., Xiao, L., Xiong, Z., Hu, H., Niyato, D., & Vincent Poor, H. (2022). Lead federated neuromorphic learning for wireless edge artificial intelligence. Nature communications, 13(1), 1-12. |
39 | Kang, J., Li, X., Nie, J., Liu, Y., Xu, M., Xiong, Z., … & Yan, Q. (2022). Communication-Efficient and Cross-chain Empowered Federated Learning for Artificial Intelligence of Things. IEEE Transactions on Network Science and Engineering. |
40 | Jiang, W., Li, F., Mei, L., Liu, R., & Wang, S. (2022, September). VisBLE: Vision-Enhanced BLE Device Tracking. In 2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) (pp. 217-225). IEEE. |
41 | Li, H., Liu, R., Wang, S., Jiang, W., & Lu, C. X. (2022, September). Pedestrian Liveness Detection Based on mmWave Radar and Camera Fusion. In 2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) (pp. 262-270). IEEE. |
42 | Chen, Q., Meng, W., Quek, T. Q., & Chen, S. (2022). Multi-Tier Hybrid Offloading for Computation-Aware IoT Applications in Civil Aircraft-Augmented SAGIN. IEEE Journal on Selected Areas in Communications. |
43 | Wang, C., Chen, X., An, J., Xiong, Z., Xing, C., Zhao, N., & Niyato, D. (2022). Covert Communication Assisted by UAV-IRS. IEEE Transactions on Communications, 71(1), 357-369. |
44 | Feng, C., Yang, H. H., Hu, D., Zhao, Z., Quek, T. Q., & Min, G. (2022). Mobility-aware cluster federated learning in hierarchical wireless networks. IEEE Transactions on Wireless Communications, 21(10), 8441-8458. |
45 | Kang, J., Du, H., Li, Z., Xiong, Z., Ma, S., Niyato, D., & Li, Y. (2022). Personalized saliency in task-oriented semantic communications: Image transmission and performance analysis. IEEE Journal on Selected Areas in Communications, 41(1), 186-201. |
46 | Jiang, Y., Kang, J., Niyato, D., Ge, X., Xiong, Z., Miao, C., & Shen, X. (2022). Reliable distributed computing for metaverse: A hierarchical game-theoretic approach. IEEE Transactions on Vehicular Technology. |
47 | Yang, W., Liew, Z. Q., Lim, W. Y. B., Xiong, Z., Niyato, D., Chi, X., … & Letaief, K. B. (2022). Semantic communication meets edge intelligence. IEEE Wireless Communications, 29(5), 28-35. |
48 | Wang, Z., Zhang, Z., Tian, Y., Yang, Q., Shan, H., Wang, W., & Quek, T. Q. (2022). Asynchronous federated learning over wireless communication networks. IEEE Transactions on Wireless Communications, 21(9), 6961-6978. |
49 | Yang, P., Quek, T. Q., Chen, J., You, C., & Cao, X. (2022). Feeling of presence maximization: mmWave-enabled virtual reality meets deep reinforcement learning. IEEE Transactions on Wireless Communications, 21(11), 10005-10019. |
50 | Cheh, C., Tay, N., & Chen, B. (2022, December). From hindsight to foresight: Enhancing design artifacts for business logic flaw discovery. In Proceedings of the 38th Annual Computer Security Applications Conference (pp. 400-411). |
51 | Wang, M., Wei, S., Zhou, Z., Shi, J., Zhang, X., & Guo, Y. (2022). CTV-Net: Complex-Valued TV-Driven Network with Nested Topology for 3-D SAR Imaging. IEEE Transactions on Neural Networks and Learning Systems. |
52 | Wang, F., Jiang, D., Wang, Z., Chen, J., & Quek, T. Q. (2022). Seamless Handover in LEO Based Non-Terrestrial Networks: Service Continuity and Optimization. IEEE Transactions on Communications. |
53 | Han, Y., Niyato, D., Leung, C., Kim, D. I., Zhu, K., Feng, S., … & Miao, C. (2022). A dynamic hierarchical framework for iot-assisted digital twin synchronization in the metaverse. IEEE Internet of Things Journal, 10(1), 268-284. |
54 | Xu, M., Ng, W. C., Lim, W. Y. B., Kang, J., Xiong, Z., Niyato, D., … & Miao, C. (2022). A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges. IEEE Communications Surveys & Tutorials. |
55 | Wang, J., Du, H., Tian, Z., Niyato, D., Kang, J., & Shen, X. (2023). Semantic-aware sensing information transmission for metaverse: A contest theoretic approach. IEEE Transactions on Wireless Communications. |
56 | Fan, B., Su, Z., Chen, Y., Wu, Y., Xu, C., & Quek, T. Q. (2022). Ubiquitous control over heterogeneous vehicles: A digital twin empowered edge ai approach. IEEE Wireless Communications. |
57 | Huang, N., Dai, M., Wu, Y., Quek, T. Q., & Shen, X. (2022). Wireless Federated Learning with Hybrid Local and Centralized Training: A Latency Minimization Design. IEEE Journal of Selected Topics in Signal Processing. |
58 | Wang, X., Ren, X., Qiu, C., Xiong, Z., Yao, H., & Leung, V. C. (2022). Integrating edge intelligence and blockchain: What, why, and how. IEEE Communications Surveys & Tutorials. |
59 | Chen, Z., Zheng, T., Hu, C., Cao, H., Yang, Y., Jiang, H., & Luo, J. (2022). ISACoT: Integrating Sensing with Data Traffic for Ubiquitous IoT Devices. IEEE Communications Magazine. |
60 | Li, Y., Wang, S., Chi, C. Y., & Quek, T. Q. (2022). Differentially Private Federated Learning in Edge Networks: The Perspective of Noise Reduction. IEEE Network, 36(5), 167-172. |
61 | Zhao, Y., Wang, Z., Lu, Y., & Guan, Y. L. (2023). Multi-mode OAM Convergent Transmission with Co-divergent Angle Tailored by Airy Wavefront. IEEE Transactions on Antennas and Propagation. |
62 | Tong, Y., Li, D., Yang, Z., Xiong, Z., Zhao, N., & Li, Y. (2022). Outage analysis of rate splitting networks with an untrusted user. IEEE Transactions on Vehicular Technology. |
63 | Lim, W. Y. B., Xiong, Z., Niyato, D., Cao, X., Miao, C., Sun, S., & Yang, Q. (2022). Realizing the metaverse with edge intelligence: A match made in heaven. IEEE Wireless Communications. |