36 citations · 69 across the 8 of their papers we have counts for
13 papers
Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection
Yanyong Huang, Zongxin Shen, Fuxu Cai +2
Unsupervised feature selection is an important method to reduce dimensions of high dimensional data without labels, which is benefit to avoid ``curse of dimensionality'' and improv…
Fairness and Accuracy in Federated Learning
Wei Huang, Tianrui Li, Dexian Wang +2
In the federated learning setting, multiple clients jointly train a model under the coordination of the central server, while the training data is kept on the client to ensure priv…
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis
Huaishao Luo, Lei Ji, Tianrui Li +2
In this paper, we focus on the imbalance issue, which is rarely studied in aspect term extraction and aspect sentiment classification when regarding them as sequence labeling tasks…
ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition
Huaishao Luo, Chuishi Meng, Bowen Wu +3
The detection of the abnormal area from urban data is a significant research problem. However, to the best of our knowledge, previous methods designed on spatio-temporal anomalies…
Distributional Discrepancy: A Metric for Unconditional Text Generation
Ping Cai, Xingyuan Chen, Peng Jin +2
The purpose of unconditional text generation is to train a model with real sentences, then generate novel sentences of the same quality and diversity as the training data. However,…
Efficient Suspected Infected Crowds Detection Based on Spatio-Temporal Trajectories
Huajun He, Ruiyuan Li, Rubin Wang +3
Virus transmission from person to person is an emergency event facing the global public. Early detection and isolation of potentially susceptible crowds can effectively control the…