Publications

Grouped by year, newest first. An asterisk marks corresponding authorship. See also Google Scholar.

2026

2026
Decoding RR Lyrae light curves for accurate absolute magnitude estimation S. He, H. Wu, et al.
The Innovation Q1-Top corresponding author
2026
Weakest precondition calculus and relative completeness of satisfaction-based quantum Hoare logic X. Sun, et al.
Quantum Information Processing co-author
2026
Synergizing Multigrid Algorithms with Vision Transformer: A Novel Approach to Enhance the Seismic Foundation Model H. Wu, et al.
AAAI'26 CCF-A first author

2025
DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately H. Wu, et al.
AAAI'25 CCF-A first author
2025
PDFL: A Privacy-Enhancing and Robust Poisoning Defense Federated Learning Scheme G. Wang, et al.
IEEE TIFS CCF-A co-author
2025
VFGCN: A Vertical Federated Learning Framework with Privacy Preserving for Graph Convolutional Network G. Wang, et al.
IEEE TKDE CCF-A co-author
2025
CG-FedLLM: How to Compress Gradients in Federated Fine-tuning for Large Language Models H. Wu, et al.
ECAI'25 CCF-B first author
2025
DPFedSub: A Differentially Private Federated Learning Scheme with Randomized Subspace Descent Optimization H. Wu, et al.
ACISP'25 CCF-C first author
2025
Improving Frequency Estimation Mechanisms under Local Differential Privacy S. Sun, J. Wu, J. Yang, L. Zhou, H. Wu*
ACISP'25 CCF-C corresponding author
2025
Do Global and Local Perform Cooperatively or Adversarially in Heterogeneous Federated Learning? H. Wu, S. Zhang
CPAL'25 first author
2025
Comparing and Improving Perturbation Mechanisms under Local Differential Privacy S. Sun, et al.
Inscrypt'25 CCF-C co-author

2024
A Variational Approach to Personalized Federated Learning and its Improvement H. Wu, S. Zhang*
PKAW'24 first author Long paper, 28.8% acceptance
2024
Fast and Robust Differential Private Stochastic Gradient Descent with Preconditioner H. Wu*
PKAW'24 sole author Long paper, 28.8% acceptance
2024
FedScale: A Federated Unlearning Method Mimicking Human Forgetting Processes W. Huang, H. Wu*, et al.
WASA'24 CCF-C corresponding author

2023
Powerful Encoding and Decoding Computation of Reservoir Computing W. Li, H. Wu, D. Yang
ICIRA'23 co-author

2022
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation C. Chen, H. Wu*, et al.
WWW'22 CCF-A corresponding author
2022
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification C. Chen, J. Zhou, L. Zheng, H. Wu, et al.
IJCAI-ECAI'22 CCF-A co-author

US
Methods, Systems, and Apparatuses for Training Privacy Preserving Model H. Wu, et al.
US 20,240,045,993 first author
US
Methods, Systems, and Apparatuses for Training Privacy Protection Model H. Wu, et al.
US 20,240,046,160 first author