167 citations · 254 across the 7 of their papers we have counts for
7 papers
Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation
Xiaokun Zhang, Bo Xu, Fenglong Ma +3
Session-based recommendation intends to predict next purchased items based on anonymous behavior sequences. Numerous economic studies have revealed that item price is a key factor…
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations
Hui Ma, Jian Wang, Hongfei Lin +3
Emotion recognition in conversations (ERC), the task of recognizing the emotion of each utterance in a conversation, is crucial for building empathetic machines. Existing studies f…
KESDT: knowledge enhanced shallow and deep Transformer for detecting adverse drug reactions
Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang +3
Adverse drug reaction (ADR) detection is an essential task in the medical field, as ADRs have a gravely detrimental impact on patients' health and the healthcare system. Due to a l…
ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation
Bo Zhang, Jian Wang, Hui Ma +2
Image-grounded dialogue systems benefit greatly from integrating visual information, resulting in high-quality response generation. However, current models struggle to effectively…
Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks
Junyu Lu, Bo Xu, Xiaokun Zhang +3
The widespread dissemination of toxic online posts is increasingly damaging to society. However, research on detecting toxic language in Chinese has lagged significantly. Existing…
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation
Xiaokun Zhang, Bo Xu, Liang Yang +4
Session-based recommendation aims to predict items that an anonymous user would like to purchase based on her short behavior sequence. The current approaches towards session-based…
Reference-Based Sequence Classification
Zengyou He, Guangyao Xu, Chaohua Sheng +2
Sequence classification is an important data mining task in many real world applications. Over the past few decades, many sequence classification methods have been proposed from di…