activity
20162022
most citedLOFS: Library of Online Streaming Feature Selection

3 citations · 9 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2022★ 2 cited

Prompt-Learning for Short Text Classification

Yi Zhu, Xinke Zhou, Jipeng Qiang +3

In the short text, the extremely short length, feature sparsity, and high ambiguity pose huge challenges to classification tasks. Recently, as an effective method for tuning Pre-tr…

cs.CL2022★ 1 cited

Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion

Yuling Li, Kui Yu, Yuhong Zhang +1

Recent years have witnessed increasing interest in few-shot knowledge graph completion (FKGC), which aims to infer unseen query triples for a few-shot relation using a few referenc…

cs.SI2021

Social Group Query Based on Multi-fuzzy-constrained Strong Simulation

Guliu Liu, Lei Li, Guanfeng Liu +1

Traditional social group analysis mostly uses interaction models, event models, or other methods to identify and distinguish groups. This type of method can divide social participa…

cs.AI2020

Trustworthy Preference Completion in Social Choice

Lei Li, Minghe Xue, Huanhuan Chen +1

As from time to time it is impractical to ask agents to provide linear orders over all alternatives, for these partial rankings it is necessary to conduct preference completion. Sp…

cs.LG2020★ 2 cited

A Survey on Large-scale Machine Learning

Meng Wang, Weijie Fu, Xiangnan He +2

Machine learning can provide deep insights into data, allowing machines to make high-quality predictions and having been widely used in real-world applications, such as text mining…

cs.LG2018★ 1 cited

AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network Embedding

Lei Sang, Min Xu, Shengsheng Qian +1

Network embedding represents nodes in a continuous vector space and preserves structure information from the Network. Existing methods usually adopt a "one-size-fits-all" approach…

cs.LG2016★ 3 cited

LOFS: Library of Online Streaming Feature Selection

Kui Yu, Wei Ding, Xindong Wu

As an emerging research direction, online streaming feature selection deals with sequentially added dimensions in a feature space while the number of data instances is fixed. Onlin…