Zhangcheng Huang

According to our database, Zhangcheng Huang authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization.

Rongfeng Pan, Jianzong Wang, Lingwei Kong, Zhangcheng Huang, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy.

Yeqing Qiu, Chenyu Huang, Jianzong Wang, Zhangcheng Huang, Jing Xiao

Proceedings of the Knowledge Science, Engineering and Management, 2022

Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning.

Yanxin Song, Jianzong Wang, Tianbo Wu, Zhangcheng Huang, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

A Nearest Neighbor Under-sampling Strategy for Vertical Federated Learning in Financial Domain.

Denghao Li, Jianzong Wang, Lingwei Kong, Shijing Si, Zhangcheng Huang, Chenyu Huang, Jing Xiao

Proceedings of the IH&MMSec '22: ACM Workshop on Information Hiding and Multimedia Security, Santa Barbara, CA, USA, June 27, 2022

Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation.

Denghao Li, Yuqiao Zeng, Jianzong Wang, Lingwei Kong, Zhangcheng Huang, Ning Cheng, Xiaoyang Qu, Jing Xiao

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Supervised Contrastive Meta-learning for Few-Shot Classification.

Chuanyao Zhang, Jianzong Wang, Zhangcheng Huang, Lingwei Kong, Xiaoyang Qu, Ning Cheng, Jing Xiao

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

zkMLaaS: a Verifiable Scheme for Machine Learning as a Service.

Chenyu Huang, Jianzong Wang, Huangxun Chen, Shijing Si, Zhangcheng Huang, Jing Xiao

Proceedings of the IEEE Global Communications Conference, 2022

RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery.

Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Machine Unlearning Method Based On Projection Residual.

Zihao Cao, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

Modeling Without Sharing Privacy: Federated Neural Machine Translation.

Jianzong Wang, Zhangcheng Huang, Lingwei Kong, Denghao Li, Jing Xiao

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

A Competition of Shape and Texture Bias by Multi-view Image Representation.

Lingwei Kong, Jianzong Wang, Zhangcheng Huang, Jing Xiao

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020

Network Coding for Federated Learning Systems.

Lingwei Kong, Hengtao Tao, Jianzong Wang, Zhangcheng Huang, Jing Xiao

Proceedings of the Neural Information Processing - 27th International Conference, 2020

An Approach for Neural Machine Translation with Graph Attention Network.

Linjie Chen, Jianzong Wang, Zhangcheng Huang, Jing Xiao

Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020

FedSmart: An Auto Updating Federated Learning Optimization Mechanism.

Anxun He, Jianzong Wang, Zhangcheng Huang, Jing Xiao

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019

Performance of Training Sparse Deep Neural Networks on GPUs.

Jianzong Wang, Zhangcheng Huang, Lingwei Kong, Jing Xiao, Pengyu Wang, Lu Zhang, Chao Li

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019