6 citations · 11 across the 7 of their papers we have counts for
7 papers
Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation
Hanyu Li, Weizhi Ma, Peijie Sun +6
Cross-domain recommender (CDR) systems aim to enhance the performance of the target domain by utilizing data from other related domains. However, irrelevant information from the so…
Modeling User Repeat Consumption Behavior for Online Novel Recommendation
Yuncong Li, Cunxiang Yin, Yancheng He +4
Given a user's historical interaction sequence, online novel recommendation suggests the next novel the user may be interested in. Online novel recommendation is important but unde…
Aspect-Sentiment-Multiple-Opinion Triplet Extraction
Fang Wang, Yuncong Li, Sheng-hua Zhong +2
Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect term (aspect), sentiment and opinion term (opinion) triplets from sentences and can tell a complete story, i.e., t…
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis
Yuncong Li, Cunxiang Yin, Sheng-hua Zhong +1
Aspect-category sentiment analysis (ACSA) aims to predict sentiment polarities of sentences with respect to given aspect categories. To detect the sentiment toward a particular asp…
Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
Yuncong Li, Cunxiang Yin, Sheng-hua Zhong
Aspect category sentiment analysis (ACSA) aims to predict the sentiment polarities of the aspect categories discussed in sentences. Since a sentence usually discusses one or more a…
AirRL: A Reinforcement Learning Approach to Urban Air Quality Inference
Huiqiang Zhong, Cunxiang Yin, Xiaohui Wu +2
Urban air pollution has become a major environmental problem that threatens public health. It has become increasingly important to infer fine-grained urban air quality based on exi…
A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer
Yuncong Li, Zhe Yang, Cunxiang Yin +4
Aspect-category sentiment analysis (ACSA) aims to predict the aspect categories mentioned in texts and their corresponding sentiment polarities. Some joint models have been propose…