Zhangcheng Huang

Publications

Federated Domain Generalization with Domain-specific Soft Prompts Generation (2025), In ICCV2025 (CCF-A)
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization (2023), In IJCNN2023 (CCF-C)
A Nearest Neighbor Under-sampling Strategy for Vertical Federated Learning in Financial Domain (2022), In IH&MMSec2022 (CCF-C)
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy (2022), In KSEM2022 (CCF-C)
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation (2022), In ICTAI2022 (CCF-C)
Machine Unlearning Method Based On Projection Residual (2022), In DSAA2022 (CCF-C)
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning (2022), In IJCNN2022 (CCF-C)
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery (2022), In DSAA2022 (CCF-C)
Supervised Contrastive Meta-learning for Few-Shot Classification (2022), In HPCC2022 (CCF-C)
zkMLaaS: a Verifiable Scheme for Machine Learning as a Service (2022), In GLOBECOM2022 (CCF-C)
A Competition of Shape and Texture Bias by Multi-view Image Representation (2021), In PRCV2021 (CCF-C)
Modeling Without Sharing Privacy: Federated Neural Machine Translation (2021), In WISE2021 (CCF-C)
An Approach for Neural Machine Translation with Graph Attention Network (2020), In ICCPR2020
FedSmart: An Auto Updating Federated Learning Optimization Mechanism (2020), In APWeb-WAIM2020 (CCF-C)
Network Coding for Federated Learning Systems (2020), In ICONIP2020 (CCF-C)
A Federated Learning Schema with Additive Homomorphic Encrytion (2019), In FL-IJCAI2019
Performance of Training Sparse Deep Neural Networks on GPUs (2019), In HPEC2019
Two Proposed Vehicle Insurance Pricing Frameworks Based on Federated Machine Learning (2019), In SDBD2019