Wen Wu

Orcid: 0000-0001-8193-0100

Affiliations:
  • East China Normal University, School of Computer Science and Technology, Shanghai, China
  • Hong Kong Baptist University, HKBU, China (PhD 2018)


According to our database1, Wen Wu authored at least 38 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Personality-driven experience storage and retrieval for sentiment classification.
J. Supercomput., September, 2024

A personality-guided preference aggregator for ephemeral group recommendation.
Appl. Soft Comput., 2024

Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Personality-assisted mood modeling with historical reviews for sentiment classification.
Inf. Sci., November, 2023

SMAR: Summary-Aware Multi-Aspect Recommendation.
Neurocomputing, October, 2023

Long-tail session-based recommendation from calibration.
Appl. Intell., February, 2023

Metacognition-Enhanced Few-Shot Prompting With Positive Reinforcement.
CoRR, 2023

Is ChatGPT a Good Personality Recognizer? A Preliminary Study.
CoRR, 2023

PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation.
CoRR, 2023

Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender.
Knowl. Based Syst., 2022

SENGR: Sentiment-Enhanced Neural Graph Recommender.
Inf. Sci., 2022

C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation.
CoRR, 2022

DACSR: Dual-Aggregation End-to-End Calibrated Sequential Recommendation.
CoRR, 2022

Unexp-DIN: Unexpected Deep Interest Network for Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Learner Profile based Knowledge Tracing.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Channel Attentive Graph Convolutional Network with Sentiment Fusion for Multimodal Sentiment Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2022

PMAR: Multi-aspect Recommendation Based on Psychological Gap.
Proceedings of the Database Systems for Advanced Applications, 2022

Knowledge-Enhanced Multi-task Learning for Course Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

Automatic Personality Prediction Based on Users' Chinese Handwriting Change.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021
Long-Tail Session-based Recommendation from Calibration.
CoRR, 2021

SSR: Explainable Session-based Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Two-stage sentiment classification based on user-product interactive information.
Knowl. Based Syst., 2020

TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos.
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.
Int. J. Artif. Intell. Educ., 2019

Chinese Clinical Named Entity Recognition with Word-Level Information Incorporating Dictionaries.
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.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Personalizing recommendation diversity based on user personality.
User Model. User Adapt. Interact., 2018

2017
Personality and Recommendation Diversity.
Proceedings of the Emotions and Personality in Personalized Services, 2017

Inferring Students' Sense of Community from Their Communication Behavior in Online Courses.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Implicit Acquisition of User Personality for Augmenting Recommender Systems.
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.
Proceedings of the Late-breaking Results, 2016

Inferring Users' Critiquing Feedback on Recommendations from Eye Movements.
Proceedings of the Case-Based Reasoning Research and Development, 2016

2015
Implicit Acquisition of User Personality for Augmenting Movie Recommendations.
Proceedings of the User Modeling, Adaptation and Personalization, 2015

2013
Using personality to adjust diversity in recommender systems.
Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

How personality influences users' needs for recommendation diversity?
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012
Evaluating recommender systems.
Proceedings of the Seventh International Conference on Digital Information Management, 2012


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