Yuhao Wang

Orcid: 0000-0002-6051-8659

Affiliations:

City University of Hong Kong, SAR, China
Xi'an Jiaotong University, China (former)

According to our database¹, Yuhao Wang authored at least 32 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs.

[BibT_eX]

[DOI]

CoRR, September, 2025

Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems through Benign Queries.

[BibT_eX]

[DOI]

CoRR, May, 2025

Joint Modeling in Recommendations: A Survey.

[BibT_eX]

[DOI]

CoRR, February, 2025

Joint Modeling in Deep Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Empowering Denoising Sequential Recommendation with Large Language Model Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Multi-Level Graph Knowledge Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future.

[BibT_eX]

[DOI]

CoRR, 2024

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

CoRR, 2024

AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders.

[BibT_eX]

[DOI]

CoRR, 2024

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations.

[BibT_eX]

[DOI]

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

Multi-Granularity Modeling in Recommendation: from the Multi-Scenario Perspective.

[BibT_eX]

[DOI]

Yuhao Wang

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

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

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

2023

Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Task Deep Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Exploration and Regularization of the Latent Action Space in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2020

Amortized Variational Deep Q Network.

[BibT_eX]

[DOI]

CoRR, 2020

Yuhao Wang

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