Hao Zheng

About Me

Hello! I’m Hao Zheng, a fourth-year Ph.D. student in the School of Computer Science and Engineering at Central South University, supervised by Prof. Zhigang Hu. Currently, I’m also a visiting researcher at Western University, where I work under the guidance of Prof. Boyu Wang and Prof. Charles Ling. My research interests lie in Personalized Federated Learning and Multi-feature Fusion.

Before starting my Ph.D., I completed my Master’s degree at Central South University in 2021 and earned my Bachelor’s degree at Taiyuan University of Technology in 2018.

Recent Activities

Mar 20, 2025	Our two papers, “ElimPCL: Eliminating Noise Accumulation with Progressive Curriculum Labeling for Source-Free Domain Adaptation” and “PCM-SAR: Physics-Driven Contrastive Mutual Learning for SAR Classification” are accepted at ICME 2025.
Feb 26, 2025	Our paper, “FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning”, was accepted at CVPR 2025.
Dec 23, 2024	Our paper, “ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning”, was accepted at AAAI 2025 (oral, acceptance rate ≈ 4.6%).
Dec 20, 2024	Our paper, “GradPFL: Gradient-Driven Adaptive Clustering in Personalized Federated Learning”, was accepted at ICASSP 2025.

Selected Publications

(Note: * indicates equal contribution.)

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},
}

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},
}

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},
}

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},
}