I have authored or co-authored more than 50 publications spanning federated learning, graph learning, financial AI, signal processing, wireless intelligence, and edge computing. This list has been consolidated from my Google Scholar record and removes duplicate entries. Visit Google Scholar for the live profile.
Published in IEEE Transactions on Cognitive Communications and Networking, 2026
Robust over-the-air federated learning assisted by reconfigurable intelligent surfaces.
Recommended citation: Q. An, H. Zhu, Q. Ye, N. Zhang, Y. Shi, and Y. Zhou. 2026.
Download Paper
Published in Big Data Mining and Analytics, 9(4), 1046-1060, 2026
Retrieval-augmented language modeling with enhanced indexing for financial customer service.
Recommended citation: H. Chai, R. Chen, and H. Zhu. 2026.
Download Paper
Published in Knowledge-Based Systems, 115791, 2026
A multi-target backdoor attack that evaluates attack durability and resilience against mainstream federated-learning defenses.
Recommended citation: Y. Huang, H. Jia, H. Zhu, G. Ye, and H. Chai. 2026.
Download Paper
Published in Information Processing & Management, 62(6), 104230, 2025
Personalized graph transformers for federated clients with scale-heterogeneous graph data.
Recommended citation: H. Jia, Y. Huang, M. Yang, X. Xu, H. Zhu, and H. Chai. 2025.
Download Paper
Published in IEEE Transactions on Vehicular Technology, 2025
Cooperative multi-UAV trajectory planning with integrated sensing and communication.
Recommended citation: P. Hou, S. Liu, H. Zhu, J. Wang, Z. Lu, S.-C. Huang, and Y. Yang. 2025.
Download Paper
Published in Information Processing & Management, 62(1), 103930, 2025
Efficient graph contrastive learning for recommendation.
Recommended citation: H. Jia, P. Hou, Y. Zhou, H. Zhu, and H. Chai. 2025.
Download Paper
Published in IEEE Internet of Things Journal, 11(21), 34382–34397, 2024
Distributed DRL for intelligent over-the-air computation in UAV swarm-assisted transportation systems.
Recommended citation: P. Hou, Y. Huang, H. Zhu, Z. Lu, S.-C. Huang, Y. Yang, and H. Chai. 2024.
Download Paper
Published in IEEE Transactions on Green Communications and Networking, 9(3), 1414-1428, 2024
Learning-based over-the-air integration of sensing, communication, and computation in UAV swarms.
Recommended citation: P. Hou, H. Zhu, Z. Lu, S.-C. Huang, Y. Yang, and H. Chai. 2024.
Download Paper
Published in IEEE Transactions on Wireless Communications, 23(2), 1199–1212, 2024
Joint analog and digital precoding for sub-connected hybrid beamforming architectures.
Recommended citation: Y. Hu, H. Qian, K. Kang, X. Luo, and H. Zhu. 2024.
Download Paper
Published in IEEE Internet of Things Journal, 12(5), 5792–5806, 2024
Distributed deep reinforcement learning for cooperative UAV-enabled integrated sensing, communication, and computation.
Recommended citation: P. Hou, Y. Huang, H. Zhu, Z. Lu, S.-C. Huang, Y. Yang, and H. Chai. 2024.
Download Paper
Published in IEEE Transactions on Intelligent Vehicles, 2024
Energy-efficient server activation and service association for vehicular edge computing.
Recommended citation: P. Hou, H. Jia, H. Zhu, Z. Lu, S.-C. Huang, Y. Yang, and H. Chai. 2024.
Download Paper
Published in Expert Systems with Applications, 241, 122071, 2024
A data-driven prior for generating useful synthetic tabular credit data.
Recommended citation: Y. Tan, H. Zhu, J. Wu, and H. Chai. 2024.
Download Paper
Published in IEEE Transactions on Vehicular Technology, 73(7), 10487–10501, 2024
Distributed optimization of task offloading across cooperative mobile edge computing networks.
Recommended citation: D. Wang, H. Zhu, C. Qiu, Y. Zhou, and J. Lu. 2024.
Download Paper
Published in Information Processing & Management, 61(1), 103526, 2024
Automatic feature embedding, interaction, and selection for financial default prediction.
Recommended citation: K. Xiao, X. Jiang, P. Hou, and H. Zhu. 2024.
Download Paper
Published in IEEE Transactions on Vehicular Technology, 72(3), 4124–4129, 2023
Client selection for asynchronous federated optimization under stale updates.
Recommended citation: H. Zhu, J. Kuang, M. Yang, and H. Qian. 2023.
Download Paper
Published in IEEE Transactions on Intelligent Vehicles, 9(2), 3687–3703, 2023
Energy-aware edge-server sleep decisions for green computing in Internet of Vehicles networks.
Recommended citation: P. Hou, Y. Huang, H. Zhu, Z. Lu, S.-C. Huang, and H. Chai. 2023.
Download Paper
Published in Ad Hoc Networks, 145, 103172, 2023
Deep reinforcement learning for adaptive edge-server placement in mobile edge computing.
Recommended citation: X. Jiang, P. Hou, H. Zhu, B. Li, Z. Wang, and H. Ding. 2023.
Download Paper
Published in IEEE Transactions on Vehicular Technology, 71(2), 2193–2197, 2022
Robust participant selection when federated clients contain noisy labels.
Recommended citation: M. Yang, H. Qian, X. Wang, Y. Zhou, and H. Zhu. 2022.
Download Paper
Published in IEEE Transactions on Vehicular Technology, 71(6), 6384-6396, 2022
User-serving design for intelligent reflecting surface assisted massive MIMO.
Recommended citation: Y. Hu, K. Kang, H. Zhu, X. Luo, and H. Qian. 2022.
Download Paper
Published in Journal of Communications and Information Networks, 7(2), 145–156, 2022
Reconfigurable intelligent surfaces and over-the-air aggregation for federated learning in mmWave MIMO networks.
Recommended citation: L. Hu, Z. Wang, H. Zhu, and Y. Zhou. 2022.
Download Paper
Published in IEEE Transactions on Wireless Communications, 22(4), 2493–2506, 2022
An online client-selection framework balancing asynchronous learning efficiency and participation fairness.
Recommended citation: H. Zhu, Y. Zhou, H. Qian, Y. Shi, X. Chen, and Y. Yang. 2022.
Download Paper
Published in IEEE Transactions on Industrial Informatics, 18(10), 6733–6742, 2022
Privacy-preserving federated optimization for cybertwin-driven next-generation networks.
Recommended citation: M. Yang, X. Wang, H. Qian, Y. Zhu, H. Zhu, M. Guizani, and V. Chang. 2022.
Download Paper
Published in IEEE Internet of Things Journal, 8(17), 13690–13702, 2021
Online peer computation offloading under delayed feedback in dynamic fog networks.
Recommended citation: M. Yang, H. Zhu, H. Qian, Y. Koucheryavy, K. Samouylov, and H. Wang. 2021.
Download Paper
Published in IEEE Transactions on Vehicular Technology, 70(10), 11078–11082, 2021
Performance analysis of fully connected and sub-connected hybrid beamforming systems.
Recommended citation: S. Wan, H. Zhu, K. Kang, and H. Qian. 2021.
Download Paper
Published in IEEE Internet of Things Journal, 8(3), 1572–1584, 2020
Online learning for computation offloading under unknown and changing fog-network dynamics.
Recommended citation: M. Yang, H. Zhu, H. Wang, Y. Koucheryavy, K. Samouylov, and H. Qian. 2020.
Download Paper
Published in Digital Signal Processing, 92, 73–81, 2019
Energy-aware data censoring under network-lifetime constraints in wireless sensor networks.
Recommended citation: L. Yang, H. Zhu, H. Wang, K. Kang, and H. Qian. 2019.
Download Paper
Published in IEEE Signal Processing Letters, 25(5), 610–614, 2018
Adaptive queuing and censoring for efficient big-data processing.
Recommended citation: H. Zhu, H. Qian, X. Luo, and Y. Yang. 2018.
Download Paper
Published in Journal of Electronics & Information Technology, 39(5), 1136-1141, 2017
An improved hybrid automatic repeat request scheme based on polar codes.
Recommended citation: H. Zhu, S. Dai, K. Kang, and H. Qian. 2017.
Download Paper
Published in IEEE ICASSP 2026, 2026
Hierarchical optimization for collaborative multi-UAV inspection and path planning.
Recommended citation: P. Hou, Z. Lu, H. Zhu, H. Yang, C. Luo, and T. Wang. 2026.
Download Paper
Published in IEEE ICASSP 2025, 2025
A personalized transformer approach to federated learning over distributed graphs.
Recommended citation: H. Jia, Y. Huang, H. Zhu, and H. Chai. ICASSP, 2025.
Download Paper
Published in IEEE/CIC ICCC 2025, 1-6, 2025
Over-the-air computation for massive MIMO systems using hybrid beamforming.
Recommended citation: S. Wan, X. Long, T. Wang, L. Qiao, H. Zhu, and Y. Zhou. 2025.
Download Paper
Published in IEEE ICASSP 2024, 2024
Optimal receive-beamforming structure for efficient over-the-air computation.
Recommended citation: H. Zhu and H. Qian. 2024.
Download Paper
Published in The 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024), 2024
Convergence analysis for hierarchical federated learning under partial participation.
Recommended citation: X. Jiang and H. Zhu. 2024.
Download Paper
Published in ECAI 2023, 2023
Self-attention and stacked generalization for imbalanced credit-default prediction.
Recommended citation: Y. Tan, H. Zhu, J. Wu, and H. Chai. 2023.
Download Paper
Published in IEEE VTC-Spring 2022, 1-5, 2022
RIS-assisted over-the-air computation for millimeter-wave communication networks.
Recommended citation: L. Hu, Z. Wang, H. Zhu, Y. Shi, and Y. Zhou. 2022.
Download Paper
Published in IEEE ICC Workshops, 800–805, 2022
Fair client selection for asynchronous federated learning.
Recommended citation: H. Zhu, M. Yang, J. Kuang, H. Qian, and Y. Zhou. 2022.
Download Paper
Published in IEEE WCNC, 1290–1295, 2022
Age-of-information minimization for UAV-assisted IoT networks with massive device populations.
Recommended citation: J. Zhang, K. Kang, M. Yang, H. Zhu, and H. Qian. 2022.
Download Paper
Published in EUSIPCO 2021, 2174–2178, 2021
A device-selection strategy that reduces class imbalance without centralizing raw data.
Recommended citation: M. Yang, X. Wang, H. Zhu, H. Wang, and H. Qian. 2021.
Download Paper
Published in IEEE SPAWC 2021, 61-65, 2021
Optimal receive beamforming design for over-the-air computation.
Recommended citation: W. Fang, Y. Zou, H. Zhu, Y. Shi, and Y. Zhou. 2021.
Download Paper
Published in IEEE ICC Workshops 2021, 1-6, 2021
Joint admission-control and beamforming design for RIS-aided wireless networks.
Recommended citation: D. Li, K. Wang, H. Zhu, Y. Zhou, and Y. Shi. 2021.
Download Paper
Published in IEEE GLOBECOM, 1–6, 2021
Joint client selection and bandwidth allocation for communication-efficient federated learning.
Recommended citation: J. Kuang, M. Yang, H. Zhu, and H. Qian. 2021.
Download Paper
Published in IEEE ICASSP 2020, 2020
Adversarial-bandit methods for peer-to-peer offloading with delayed feedback.
Recommended citation: M. Yang, H. Zhu, H. Wang, Y. Koucheryavy, K. Samouylov, and H. Qian. 2020.
Download Paper
Published in IEEE ICASSP 2019, 2019
Online peer-offloading decisions learned from semi-bandit feedback.
Recommended citation: H. Zhu, K. Kang, X. Luo, and H. Qian. 2019.
Download Paper
Published in IEEE VTC-Fall 2019, 1-5, 2019
Distributed transmission ordering for latency-sensitive estimation in sensor networks.
Recommended citation: L. Yang, H. Zhu, Z. Zhu, X. Luo, and H. Qian. 2019.
Download Paper
Published in IEEE VTC-Fall 2019, 1-5, 2019
Distributed computation offloading for resource-limited fog systems.
Recommended citation: H. Zhu, Z. Zhu, X. Luo, and H. Qian. 2019.
Download Paper
Published in IEEE GlobalSIP 2018, 2018
Online learning for wireless computation-offloading decisions.
Recommended citation: H. Zhu, H. Wang, X. Luo, and H. Qian. 2018.
Download Paper
Published in EUSIPCO 2018, 662-666, 2018
Energy-aware estimation designed to extend wireless-sensor network lifetime.
Recommended citation: L. Yang, H. Zhu, H. Wang, K. Kang, and H. Qian. 2018.
Download Paper
Published in IEEE DSP 2018, 1-4, 2018
Incentive propagation for computation offloading in fog-enabled device-to-device networks.
Recommended citation: L. Yang, H. Zhu, H. Wang, H. Qian, and Y. Yang. 2018.
Download Paper
Published in IEEE GlobalSIP 2018, 2018
Energy-aware sensor scheduling for distributed Gaussian detection.
Recommended citation: H. Zhu, K. Kang, X. Luo, and H. Qian. 2018.
Download Paper
Published in IEEE ICASSP 2018, 2018
Distributed data censoring under energy constraints in wireless sensor networks.
Recommended citation: L. Yang, H. Zhu, K. Kang, X. Luo, H. Qian, and Y. Yang. 2018.
Download Paper
Published in IEEE ICC 2017, 1-6, 2017
A queuing-based adaptive censoring method for large-scale data processing.
Recommended citation: H. Zhu, X. Luo, F. Shen, H. Qian, and Y. Yang. 2017.
Download Paper
Published in IEEE DSP 2017, 1-5, 2017
Online censoring for real-time digital predistortion of power amplifiers.
Recommended citation: H. Zhu, X. Luo, H. Qian, and Y. Yang. 2017.
Download Paper