Publications

2025

1. AAAI2025

   

   ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning

   Hao Zheng, Zhigang Hu, Liu Yang, Meiguang Zheng, Aikun Xu, and Boyu Wang

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025, (Oral, Acceptance rate ≈ 4.6%)

   Bib Code Poster

   @inproceedings{ConFREE,
     title = {ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning},
     author = {Zheng, Hao and Hu, Zhigang and Yang, Liu and Zheng, Meiguang and Xu, Aikun and Wang, Boyu},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2025},
   }

2. ICASSP

   

   GradPFL: Gradient-Driven Adaptive Clustering in Personalized Federated Learning

   Shiyu Song^*, Hao Zheng^*, Zhigang Hu, Aikun Xu, Liu Yang, and Meiguang Zheng

   In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025

   Bib

   @inproceedings{song2025GradPFL,
     title = {GradPFL: Gradient-Driven Adaptive Clustering in Personalized Federated Learning},
     author = {Song, Shiyu and Zheng, Hao and Hu, Zhigang and Xu, Aikun and Yang, Liu and Zheng, Meiguang},
     booktitle = {ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {1--5},
     year = {2025},
     organization = {IEEE},
   }

2024

1. ICASSP

   

   Double Reverse Regularization Network Based on Self-Knowledge Distillation for SAR Object Classification

   Bo Xu^*, Hao Zheng^*, Zhigang Hu, Liu Yang, Meiguang Zheng, Xianting Feng, and Wei Lin

   In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

   Bib Poster

   @inproceedings{xu2024double,
     title = {Double Reverse Regularization Network Based on Self-Knowledge Distillation for SAR Object Classification},
     author = {Xu, Bo and Zheng, Hao and Hu, Zhigang and Yang, Liu and Zheng, Meiguang and Feng, Xianting and Lin, Wei},
     booktitle = {ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {7800--7804},
     year = {2024},
     organization = {IEEE},
   }

2. ICASSP

   

   Dual-Stream Contrastive Predictive Network with Joint Handcrafted Feature View for SAR Ship Classification

   Xianting Feng^*, Hao Zheng^*, Zhigang Hu, Liu Yang, and Meiguang Zheng

   In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

   Bib Poster

   @inproceedings{feng2024dual,
     title = {Dual-Stream Contrastive Predictive Network with Joint Handcrafted Feature View for SAR Ship Classification},
     author = {Feng, Xianting and Zheng, Hao and Hu, Zhigang and Yang, Liu and Zheng, Meiguang},
     booktitle = {ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {7810--7814},
     year = {2024},
     organization = {IEEE},
   }

3. ICANN

   

   Coarse-to-Fine Granularity in MultiScale FeatureFusion Network for SAR Ship Classification

   Wei Lin^*, Hao Zheng^*, Zhigang Hu, Meiguang Zheng, and Liu Yang

   In International Conference on Artificial Neural Networks (ICANN), 2024

   Bib

   @inproceedings{lin2024coarse,
     title = {Coarse-to-Fine Granularity in MultiScale FeatureFusion Network for SAR Ship Classification},
     author = {Lin, Wei and Zheng, Hao and Hu, Zhigang and Zheng, Meiguang and Yang, Liu},
     booktitle = {International Conference on Artificial Neural Networks (ICANN)},
     pages = {31--45},
     year = {2024},
     organization = {Springer},
   }

2023

1. TGRS

   

   Multi-Feature Collaborative Fusion Network with Deep Supervision for Sar Ship Classification

   Hao Zheng, Zhigang Hu, Liu Yang, Aikun Xu, Meiguang Zheng, Ce Zhang, and Keqin Li

   IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023

   Bib Code

   @article{zheng2023multi,
     title = {Multi-Feature Collaborative Fusion Network with Deep Supervision for Sar Ship Classification},
     author = {Zheng, Hao and Hu, Zhigang and Yang, Liu and Xu, Aikun and Zheng, Meiguang and Zhang, Ce and Li, Keqin},
     journal = {IEEE Transactions on Geoscience and Remote Sensing (TGRS)},
     year = {2023},
     publisher = {IEEE},
   }

2. IPDPS

   

   PFedSA: Personalized Federated Multi-Task Learning via Similarity Awareness

   Chuyao Ye^*, Hao Zheng^*, Zhigang Hu, and Meiguang Zheng

   In 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023, (Oral)

   Bib

   @inproceedings{ye2023pfedsa,
     title = {PFedSA: Personalized Federated Multi-Task Learning via Similarity Awareness},
     author = {Ye, Chuyao and Zheng, Hao and Hu, Zhigang and Zheng, Meiguang},
     booktitle = {2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)},
     pages = {480--488},
     year = {2023},
     organization = {IEEE},
   }

3. PAA

   

   Graph-based Fine-grained Model Selection for Multi-source Domain

   Zhigang Hu, Yuhang Huang, Hao Zheng, Meiguang Zheng, and JianJun Liu

   Pattern Analysis and Applications (PAA), 2023

   Bib

   @article{hu2023graph,
     title = {Graph-based Fine-grained Model Selection for Multi-source Domain},
     author = {Hu, Zhigang and Huang, Yuhang and Zheng, Hao and Zheng, Meiguang and Liu, JianJun},
     journal = {Pattern Analysis and Applications (PAA)},
     volume = {26},
     number = {3},
     pages = {1481--1492},
     year = {2023},
     publisher = {Springer},
   }

4. AS

   

   LFDC: Low-Energy Federated Deep Reinforcement Learning for Caching Mechanism in Cloud–Edge Collaborative

   Xinyu Zhang, Zhigang Hu, Meiguang Zheng, Yang Liang, Hui Xiao, Hao Zheng, and Aikun Xu

   Applied Sciences, 2023

   Bib

   @article{zhang2023lfdc,
     title = {LFDC: Low-Energy Federated Deep Reinforcement Learning for Caching Mechanism in Cloud--Edge Collaborative},
     author = {Zhang, Xinyu and Hu, Zhigang and Zheng, Meiguang and Liang, Yang and Xiao, Hui and Zheng, Hao and Xu, Aikun},
     journal = {Applied Sciences},
     volume = {13},
     number = {10},
     pages = {6115},
     year = {2023},
     publisher = {MDPI},
   }

5. IOT

   

   Qdrl: Queue-aware Online Drl for Computation Offloading in Industrial Internet of Things

   Aikun Xu, Zhigang Hu, Xinyu Zhang, Hui Xiao, Hao Zheng, Bolei Chen, Meiguang Zheng, Ping Zhong, Yilin Kang, and Keqin Li

   IEEE Internet of Things Journal (IoTJ), 2023

   Bib

   @article{xu2023qdrl,
     title = {Qdrl: Queue-aware Online Drl for Computation Offloading in Industrial Internet of Things},
     author = {Xu, Aikun and Hu, Zhigang and Zhang, Xinyu and Xiao, Hui and Zheng, Hao and Chen, Bolei and Zheng, Meiguang and Zhong, Ping and Kang, Yilin and Li, Keqin},
     journal = {IEEE Internet of Things Journal (IoTJ)},
     year = {2023},
     publisher = {IEEE},
   }

6. arXiv

   

   MetaDefa: Meta-learning based on Domain Enhancement and Feature Alignment for Single Domain Generalization

   Can Sun^*, Hao Zheng^*, Zhigang Hu, Liu Yang, Meiguang Zheng, and Bo Xu

   arXiv preprint arXiv:2311.15906, 2023

   Bib

   @article{sun2023metadefa,
     title = {MetaDefa: Meta-learning based on Domain Enhancement and Feature Alignment for Single Domain Generalization},
     author = {Sun, Can and Zheng, Hao and Hu, Zhigang and Yang, Liu and Zheng, Meiguang and Xu, Bo},
     journal = {arXiv preprint arXiv:2311.15906},
     year = {2023},
   }

2022

1. GRSL

   

   MetaBoost: A Novel Heterogeneous DCNNs Ensemble Network with Two-Stage Filtration for SAR Ship Classification

   Hao Zheng, Zhigang Hu, Jianjun Liu, Yuhang Huang, and Meiguang Zheng

   IEEE Geoscience and Remote Sensing Letters (GRSL), 2022

   Bib

   @article{zheng2022metaboost,
     title = {MetaBoost: A Novel Heterogeneous DCNNs Ensemble Network with Two-Stage Filtration for SAR Ship Classification},
     author = {Zheng, Hao and Hu, Zhigang and Liu, Jianjun and Huang, Yuhang and Zheng, Meiguang},
     journal = {IEEE Geoscience and Remote Sensing Letters (GRSL)},
     volume = {19},
     pages = {1--5},
     year = {2022},
     publisher = {IEEE},
   }