51 citations · 102 across the 13 of their papers we have counts for
14 papers
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…
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information
Shijing Si, Jianzong Wang, Ruiyi Zhang +2
Non-negative matrix factorization (NMF) based topic modeling is widely used in natural language processing (NLP) to uncover hidden topics of short text documents. Usually, training…
Cali3F: Calibrated Fast Fair Federated Recommendation System
Zhitao Zhu, Shijing Si, Jianzong Wang +1
The increasingly stringent regulations on privacy protection have sparked interest in federated learning. As a distributed machine learning framework, it bridges isolated data isla…
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…
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance
Jianhan Wu, Shijing Si, Jianzong Wang +1
With the rapid development of the Metaverse, virtual humans have emerged, and human image synthesis and editing techniques, such as pose transfer, have recently become popular. Mos…
Towards Speaker Age Estimation with Label Distribution Learning
Shijing Si, Jianzong Wang, Junqing Peng +1
Existing methods for speaker age estimation usually treat it as a multi-class classification or a regression problem. However, precise age identification remains a challenge due to…