Yuting Yin

Orcid: 0009-0002-2845-2917

According to our database1, Yuting Yin authored at least 10 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Beyond Static Collision Handling: Adaptive Semantic ID Learning for Multimodal Recommendation at Industrial Scale.
CoRR, April, 2026

Stop Treating Collisions Equally: Qualification-Aware Semantic ID Learning for Recommendation at Industrial Scale.
CoRR, March, 2026

2024
Joint Long-Term Energy Efficient Scheduling and Beamforming Design for URLLC in Cell-Free MIMO Systems.
IEEE Wirel. Commun. Lett., January, 2024

Vegetable commodity forecasting based on ARIMA and dynamic game modeling.
Proceedings of the 2024 International Conference on Digital Society and Artificial Intelligence, 2024

2023
DAGP-Face Restorer: Blind Face Restoration Network with Domain-aligned Generative Prior.
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

2022
Energy Efficiency Maximization via Joint Beamforming and Power Control for URLLC Service in Network-Assisted Full Duplex Systems.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

2021
Recaptured image detection through multi-resolution residual-based correlation coefficients.
J. Intell. Fuzzy Syst., 2021

Deterministic Communications for In-vehicle Network: Overview and Challenges.
Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021

Simulative Analysis of TSN-based Traffic Scheduling for In-vehicle Network.
Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021

2020
Skeleton-based Chinese sign language recognition and generation for bidirectional communication between deaf and hearing people.
Neural Networks, 2020


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