Zuotao Liu

Orcid: 0009-0004-4755-1835

According to our database1, Zuotao Liu authored at least 19 papers between 2010 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Not All Candidates are Created Equal: A Heterogeneity-Aware Approach to Pre-ranking in Recommender Systems.
Proceedings of the ACM Web Conference 2026, 2026

2025
Next-User Retrieval: Enhancing Cold-Start Recommendations via Generative Next-User Modeling.
CoRR, June, 2025

ContentV: Efficient Training of Video Generation Models with Limited Compute.
CoRR, June, 2025

Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System.
CoRR, January, 2025

AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System.
CoRR, January, 2025

Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever.
CoRR, January, 2025

Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

AdaF<sup>2</sup>M<sup>2</sup>: Comprehensive Learning and Responsive Leveraging Features in Recommendation System.
Proceedings of the Database Systems for Advanced Applications, 2025

Asymmetric Diffusion Recommendation Model.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

RankMixer: Scaling Up Ranking Models in Industrial Recommenders.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Towards Unbiased and Real-Time Staytime Prediction for Live Streaming Recommendation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

PMTA: Perception-Aware Multi-Task Transformer Network for Personalized Multi-Domain Adaptation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Interest Clock: Time Perception in Real-Time Streaming Recommendation System.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Trinity: Syncretizing Multi-/Long-Tail/Long-Term Interests All in One.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2021
Context-aware Ensemble of Multifaceted Factorization Models for Recommendation Prediction in Social Networks.
CoRR, 2021

2010
Learning Contextual Metrics for Automatic Image Annotation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010

Semantic context modeling with maximal margin Conditional Random Fields for automatic image annotation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010


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