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 20 papers between 2020 and 2025.

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

Timeline

2020
2021
2022
2023
2024
2025
0
5
10
8
3
1
1
4
3

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Multi-Level Graph Knowledge Contrastive Learning.
IEEE Trans. Knowl. Data Eng., December, 2024

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.
CoRR, 2024

Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future.
CoRR, 2024

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.
CoRR, 2024

AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems.
CoRR, 2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.
CoRR, 2024

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models.
CoRR, 2024

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders.
CoRR, 2024

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multi-Granularity Modeling in Recommendation: from the Multi-Scenario Perspective.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.
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.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation.
CoRR, 2023

Multi-Task Deep Recommender Systems: A Survey.
CoRR, 2023

Exploration and Regularization of the Latent Action Space in Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2020
Amortized Variational Deep Q Network.
CoRR, 2020


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