203 citations · 650 across the 30 of their papers we have counts for
30 papers
Group Buying Recommendation Model Based on Multi-task Learning
Shuoyao Zhai, Baichuan Liu, Deqing Yang +1
In recent years, group buying has become one popular kind of online shopping activity, thanks to its larger sales and lower unit price. Unfortunately, research seldom focuses on re…
Large-scale Multi-granular Concept Extraction Based on Machine Reading Comprehension
Siyu Yuan, Deqing Yang, Jiaqing Liang +5
The concepts in knowledge graphs (KGs) enable machines to understand natural language, and thus play an indispensable role in many applications. However, existing KGs have the poor…
Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation
Lyuxin Xue, Deqing Yang, Yanghua Xiao
Most sequential recommendation (SR) systems employing graph neural networks (GNNs) only model a user's interaction sequence as a flat graph without hierarchy, overlooking diverse f…
Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation
Jingjie Yi, Deqing Yang, Siyu Yuan +3
Emotion recognition in conversation (ERC) aims to detect the emotion for each utterance in a given conversation. The newly proposed ERC models have leveraged pre-trained language m…
A Probit Tensor Factorization Model For Relational Learning
Ye Liu, Rui Song, Wenbin Lu +1
With the proliferation of knowledge graphs, modeling data with complex multirelational structure has gained increasing attention in the area of statistical relational learning. One…
FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion
Sijie Cheng, Jingwen Wu, Yanghua Xiao +1
Today data is often scattered among billions of resource-constrained edge devices with security and privacy constraints. Federated Learning (FL) has emerged as a viable solution to…