Zhangcheng Huang


  1. Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization (2023) In IJCNN2023 (CCF-C)
  2. A Nearest Neighbor Under-sampling Strategy for Vertical Federated Learning in Financial Domain (2022) In IH&MMSec2022 (CCF-C)
  3. A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy (2022) In KSEM2022 (CCF-C)
  4. Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation (2022) In ICTAI2022 (CCF-C)
  5. Machine Unlearning Method Based On Projection Residual (2022) In DSAA2022 (CCF-C)
  6. Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning (2022) In IJCNN2022 (CCF-C)
  7. RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery (2022) In DSAA2022 (CCF-C)
  8. Supervised Contrastive Meta-learning for Few-Shot Classification (2022) In HPCC2022 (CCF-C)
  9. zkMLaaS: a Verifiable Scheme for Machine Learning as a Service (2022) In GLOBECOM2022 (CCF-C)
  10. A Competition of Shape and Texture Bias by Multi-view Image Representation (2021) In PRCV2021 (CCF-C)
  11. Modeling Without Sharing Privacy: Federated Neural Machine Translation (2021) In WISE2021 (CCF-C)
  12. An Approach for Neural Machine Translation with Graph Attention Network (2020) In ICCPR2020
  13. FedSmart: An Auto Updating Federated Learning Optimization Mechanism (2020) In APWeb-WAIM2020 (CCF-C)
  14. Network Coding for Federated Learning Systems (2020) In ICONIP2020 (CCF-C)
  15. Performance of Training Sparse Deep Neural Networks on GPUs (2019) In HPEC2019