Yuting Liu

Orcid: 0000-0002-0774-0007

Affiliations:
  • Northeastern University, China
  • Northeastern University, Software College, China
  • Chinese Academy of Sciences, Institute of Automation, CRIPAC, NLPR, Beijing, China


According to our database1, Yuting Liu authored at least 28 papers between 2022 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
Exploring and Tailoring the Test-Time Augmentation for Sequential Recommendation.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning.
CoRR, February, 2026

Text as a Universal Interface for Transferable Personalization.
CoRR, January, 2026

RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
FSA-Hash: Flow-Size-Aware Sketch Hashing for Software Switches.
IEEE Trans. Computers, November, 2025

RAGAR: Retrieval Augment Personalized Image Generation Guided by Recommendation.
CoRR, May, 2025

Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials.
CoRR, April, 2025

Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences.
ACM Trans. Inf. Syst., March, 2025

Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation.
Proceedings of the ACM on Web Conference 2025, 2025

Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

LA-Sketch: An Adaptive Level-Aware Sketch for Efficient Network Traffic Measurement.
Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

RA-Sketch: A Unified Framework for Rapid and Accurate Sketch Configurations.
Proceedings of the 33rd IEEE International Conference on Network Protocols, 2025

Harnessing Content and Structure in ID for Multimodal Recommendation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2025

Self-supervised Hierarchical Representation for Medication Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2025

Personalized Text Generation with Contrastive Activation Steering.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Augmenting Sequential Recommendation with Balanced Relevance and Diversity.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Video and audio are images: A cross-modal mixer for original data on video-audio retrieval.
Knowl. Based Syst., 2024

Data Augmentation for Sequential Recommendation: A Survey.
CoRR, 2024

Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion.
CoRR, 2024

Repeated Padding as Data Augmentation for Sequential Recommendation.
CoRR, 2024

Repeated Padding for Sequential Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Stealthy Attack on Large Language Model based Recommendation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation.
CoRR, 2023

2022
Bi-directional Contrastive Distillation for Multi-behavior Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022


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