Lantao Hu

Orcid: 0000-0003-0697-8985

According to our database¹, Lantao Hu authored at least 27 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Soft Contrastive Sequential Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., November, 2024

Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

End-to-End Learnable Item Tokenization for Generative Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

A Model-based Multi-Agent Personalized Short-Video Recommender System.

[BibT_eX]

[DOI]

CoRR, 2024

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

[BibT_eX]

[DOI]

CoRR, 2024

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm.

[BibT_eX]

[DOI]

CoRR, 2024

Future Impact Decomposition in Request-level Recommendations.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

M<sup>3</sup>oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Modeling User Fatigue for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MODEM: Decoupling User Behavior for Shared-Account Video Recommendations on Large Screen Devices.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Natural Language Explainable Recommendation with Robustness Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unsupervised Ranking Ensemble Model for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Future Impact Decomposition in Request-level Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Modeling User Retention through Generative Flow Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

RecGPT.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Industrial Recommender System - Principles, Technologies and Enterprise Applications

[BibT_eX]

[DOI]

Springer, ISBN: 978-981-97-2580-9, 2024

2023

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement.

[BibT_eX]

[DOI]

CoRR, 2023

A Large Language Model Enhanced Conversational Recommender System.

[BibT_eX]

[DOI]

CoRR, 2023

2014

Content-Boosted Restricted Boltzmann Machine for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

Context-Aware Recommendation of Learning Resources Using Rules Engine.

[BibT_eX]

[DOI]

Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, 2013

Lantao Hu

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