51 citations · 137 across the 26 of their papers we have counts for
5 papers · 1 filter
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.…
A Fair Federated Learning Framework With Reinforcement Learning
Yaqi Sun, Shijing Si, Jianzong Wang +3
Federated learning (FL) is a paradigm where many clients collaboratively train a model under the coordination of a central server, while keeping the training data locally stored. H…
Augmentation-induced Consistency Regularization for Classification
Jianhan Wu, Shijing Si, Jianzong Wang +1
Deep neural networks have become popular in many supervised learning tasks, but they may suffer from overfitting when the training dataset is limited. To mitigate this, many resear…
Reinforcement Learning for Flexibility Design Problems
Yehua Wei, Lei Zhang, Ruiyi Zhang +3
Flexibility design problems are a class of problems that appear in strategic decision-making across industries, where the objective is to design a (, manufacturing) network t…