39 citations · 44 across the 8 of their papers we have counts for
8 papers
Semi-Supervised Learning with Balanced Deep Representation Distributions
Changchun Li, Ximing Li, Bingjie Zhang +2
Semi-Supervised Text Classification (SSTC) mainly works under the spirit of self-training. They initialize the deep classifier by training over labeled texts; and then alternativel…
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations
Jihong Ouyang, Zhiyao Yang, Silong Liang +3
Aspect-based sentiment analysis (ABSA), a fine-grained sentiment classification task, has received much attention recently. Many works investigate sentiment information through opi…
Learning with Partial Labels from Semi-supervised Perspective
Ximing Li, Yuanzhi Jiang, Changchun Li +2
Partial Label (PL) learning refers to the task of learning from the partially labeled data, where each training instance is ambiguously equipped with a set of candidate labels but…
Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals
Bing Wang, Yue Wang, Ximing Li +1
Dataless text classification, i.e., a new paradigm of weakly supervised learning, refers to the task of learning with unlabeled documents and a few predefined representative words…
Variational Wasserstein Barycenters with c-Cyclical Monotonicity
Jinjin Chi, Zhiyao Yang, Jihong Ouyang +1
Wasserstein barycenter, built on the theory of optimal transport, provides a powerful framework to aggregate probability distributions, and it has increasingly attracted great atte…
Channel-by-Channel Demosaicking Networks with Embedded Spectral Correlation
Niu Yan, Jihong Ouyang
Demosaicking is standardly the first step in today's Image Signal Processing (ISP) pipeline of digital cameras. It reconstructs image RGB values from the spatially and spectrally s…
Topic representation: finding more representative words in topic models
Jinjin Chi, Jihong Ouyang, Changchun Li +3
The top word list, i.e., the top-M words with highest marginal probability in a given topic, is the standard topic representation in topic models. Most of recent automatical topic…
Low Cost Edge Sensing for High Quality Demosaicking
Yan Niu, Jihong Ouyang, Wanli Zuo +1
Digital cameras that use Color Filter Arrays (CFA) entail a demosaicking procedure to form full RGB images. As today's camera users generally require images to be viewed instantly,…