Wen Wu

According to our database, Wen Wu authored at least 31 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Personality-assisted mood modeling with historical reviews for sentiment classification.

Yu Ji, Wen Wu, Yi Hu, Xi Chen, Jiayi Chen, Wenxin Hu, Liang He

Inf. Sci., November, 2023

SMAR: Summary-Aware Multi-Aspect Recommendation.

Liye Shi, Wen Wu, Jiayi Chen, Wenxin Hu, Wei Zheng, Xi Chen, Liang He

Neurocomputing, October, 2023

Long-tail session-based recommendation from calibration.

Jiayi Chen, Wen Wu, Liye Shi, Wei Zheng, Liang He

Appl. Intell., February, 2023

PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation.

Guangze Ye, Wen Wu, Liye Shi, Wenxin Hu, Xin Chen, Liang He

CoRR, 2023

Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations.

Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender.

Liye Shi, Wen Wu, Wenxin Hu, Jie Zhou, Jiayi Chen, Wei Zheng, Liang He

Knowl. Based Syst., 2022

SENGR: Sentiment-Enhanced Neural Graph Recommender.

Liye Shi, Wen Wu, Wang Guo, Wenxin Hu, Jiayi Chen, Wei Zheng, Liang He

Inf. Sci., 2022

C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation.

Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Xi Chen, Wei Zheng, Liang He

CoRR, 2022

DACSR: Dual-Aggregation End-to-End Calibrated Sequential Recommendation.

Jiayi Chen, Wen Wu, Liye Shi, Wei Zheng, Liang He

CoRR, 2022

Unexp-DIN: Unexpected Deep Interest Network for Recommendation.

Hongyang Zhou, Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He

Proceedings of the International Joint Conference on Neural Networks, 2022

Learner Profile based Knowledge Tracing.

Xinghai Zheng, Qimin Ban, Wen Wu, Jiayi Chen, Jun Xiao, Lamei Wang, Wei Zheng, Liang He

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Channel Attentive Graph Convolutional Network with Sentiment Fusion for Multimodal Sentiment Analysis.

Luwei Xiao, Xingjiao Wu, Wen Wu, Jing Yang, Liang He

Proceedings of the IEEE International Conference on Acoustics, 2022

PMAR: Multi-aspect Recommendation Based on Psychological Gap.

Liye Shi, Wen Wu, Yu Ji, Luping Feng, Liang He

Proceedings of the Database Systems for Advanced Applications, 2022

Knowledge-Enhanced Multi-task Learning for Course Recommendation.

Qimin Ban, Wen Wu, Wenxin Hu, Hui Lin, Wei Zheng, Liang He

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Long-Tail Session-based Recommendation from Calibration.

Jiayi Chen, Wen Wu, Wei Zheng, Liang He

CoRR, 2021

SSR: Explainable Session-based Recommendation.

Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Two-stage sentiment classification based on user-product interactive information.

Yu Ji, Wen Wu, Shiyun Chen, Qin Chen, Wenxin Hu, Liang He

Knowl. Based Syst., 2020

TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos.

Jiayi Chen, Wen Wu, Wenxin Hu, Liang He

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019

Inferring Students' Personality from Their Communication Behavior in Web-based Learning Systems.

Wen Wu, Li Chen, Qingchang Yang, You Li

Int. J. Artif. Intell. Educ., 2019

Chinese Clinical Named Entity Recognition with Word-Level Information Incorporating Dictionaries.

Ningjie Lu, Jun Zheng, Wen Wu, Yan Yang, Kaiwei Chen, Wenxin Hu

Proceedings of the International Joint Conference on Neural Networks, 2019

A Crowdsourcing Based Human-in-the-Loop Framework for Denoising UUs in Relation Extraction Tasks.

Mengting Li, Jian Jin, Wen Wu, Yan Yang, Liang He, Jing Yang

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Personalizing recommendation diversity based on user personality.

Wen Wu, Li Chen, Yu Zhao

User Model. User Adapt. Interact., 2018

2017

Personality and Recommendation Diversity.

Li Chen, Wen Wu, Liang He

Proceedings of the Emotions and Personality in Personalized Services, 2017

Inferring Students' Sense of Community from Their Communication Behavior in Online Courses.

Wen Wu, Li Chen, Qingchang Yang

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Implicit Acquisition of User Personality for Augmenting Recommender Systems.

Wen Wu

Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017

2016

Students' Personality and Chat Room Behavior in Synchronous Online Learning.

Wen Wu, Li Chen, Qingchang Yang

Proceedings of the Late-breaking Results, 2016

Inferring Users' Critiquing Feedback on Recommendations from Eye Movements.

Li Chen, Feng Wang, Wen Wu

Proceedings of the Case-Based Reasoning Research and Development, 2016

2015

Implicit Acquisition of User Personality for Augmenting Movie Recommendations.

Wen Wu, Li Chen

Proceedings of the User Modeling, Adaptation and Personalization, 2015

2013

Using personality to adjust diversity in recommender systems.

Wen Wu, Li Chen, Liang He

Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

How personality influences users' needs for recommendation diversity?

Li Chen, Wen Wu, Liang He

Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012

Evaluating recommender systems.

Wen Wu, Liang He, Jing Yang

Proceedings of the Seventh International Conference on Digital Information Management, 2012