3 citations · 5 across the 8 of their papers we have counts for
9 papers
Federated Domain Generalization with Domain-specific Soft Prompts Generation
Jianhan Wu, Xiaoyang Qu, Zhangcheng Huang +1
Prompt learning has become an efficient paradigm for adapting CLIP to downstream tasks. Compared with traditional fine-tuning, prompt learning optimizes a few parameters yet yields…
EPSpatial: Achieving Efficient and Private Statistical Analytics of Geospatial Data
Chuan Zhang, Xuhao Ren, Zhangcheng Huang +3
Geospatial data statistics involve the aggregation and analysis of location data to derive the distribution of clients within geospatial. The need for privacy protection in geospat…
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization
Rongfeng Pan, Jianzong Wang, Lingwei Kong +2
Text summarization is essential for information aggregation and demands large amounts of training data. However, concerns about data privacy and security limit data collection and…
Machine Unlearning Method Based On Projection Residual
Zihao Cao, Jianzong Wang, Shijing Si +2
Machine learning models (mainly neural networks) are used more and more in real life. Users feed their data to the model for training. But these processes are often one-way. Once t…
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery
Wen Wang, Jianzong Wang, Shijing Si +2
The extraction of sequence patterns from a collection of functionally linked unlabeled DNA sequences is known as DNA motif discovery, and it is a key task in computational biology.…
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation
Denghao Li, Yuqiao Zeng, Jianzong Wang +5
Buddhism is an influential religion with a long-standing history and profound philosophy. Nowadays, more and more people worldwide aspire to learn the essence of Buddhism, attachin…
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy
Yeqing Qiu, Chenyu Huang, Jianzong Wang +2
Currently, the federated graph neural network (GNN) has attracted a lot of attention due to its wide applications in reality without violating the privacy regulations. Among all th…
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning
Yanxin Song, Jianzong Wang, Tianbo Wu +2
Facial micro-expressions recognition has attracted much attention recently. Micro-expressions have the characteristics of short duration and low intensity, and it is difficult to t…
FedSmart: An Auto Updating Federated Learning Optimization Mechanism
Anxun He, Jianzong Wang, Zhangcheng Huang +1
Federated learning has made an important contribution to data privacy-preserving. Many previous works are based on the assumption that the data are independently identically distri…