Guang-Neng Hu

According to our database1, Guang-Neng Hu authored at least 13 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
TITAN : Task-oriented Dialogues with Mixed-Initiative Interactions.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021
Dual Side Deep Context-aware Modulation for Social Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text.
Proceedings of the World Wide Web Conference, 2019

Personalized Neural Embeddings for Collaborative Filtering with Text.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Collaborative Filtering with Topic and Social Latent Factors Incorporating Implicit Feedback.
ACM Trans. Knowl. Discov. Data, 2018

LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text.
CoRR, 2018

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Integrating Reviews into Personalized Ranking for Cold Start Recommendation.
CoRR, 2017

Integrating Reviews into Personalized Ranking for Cold Start Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2015
A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015


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