most citedFedSmart: An Auto Updating Federated Learning Optimization Mechanism

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022

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…

cs.LG2022

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.…

cs.CL2022

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…

cs.CV2022

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…

cs.LG20203 cited

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…