396 citations · 478 across the 8 of their papers we have counts for
8 papers
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources
Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
While Unsupervised Domain Adaptation (UDA) algorithms, i.e., there are only labeled data from source domains, have been actively studied in recent years, most algorithms and theore…
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
Ting Jiang, Deqing Wang, Leilei Sun +3
Extreme Multi-label text Classification (XMC) is a task of finding the most relevant labels from a large label set. Nowadays deep learning-based methods have shown significant succ…
Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study
Deqing Wang, Fengyu Cong, Tapani Ristaniemi
Nonnegative CANDECOMP/PARAFAC (NCP) decomposition is an important tool to process nonnegative tensor. Sometimes, additional sparse regularization is needed to extract meaningful no…
Cross-Domain Labeled LDA for Cross-Domain Text Classification
Baoyu Jing, Chenwei Lu, Deqing Wang +2
Cross-domain text classification aims at building a classifier for a target domain which leverages data from both source and target domain. One promising idea is to minimize the fe…
Feature Selection Based on Term Frequency and T-Test for Text Categorization
Deqing Wang, Hui Zhang, Rui Liu +1
Much work has been done on feature selection. Existing methods are based on document frequency, such as Chi-Square Statistic, Information Gain etc. However, these methods have two…
Detect Related Bugs from Source Code Using Bug Information
Deqing Wang, Mengxiang Lin, Hui Zhang +1
Open source projects often maintain open bug repositories during development and maintenance, and the reporters often point out straightly or implicitly the reasons why bugs occur…