Tianmu Sha

According to our database1, Tianmu Sha authored at least 10 papers between 2023 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
MDL: A Unified Multi-Distribution Learner in Large-scale Industrial Recommendation through Tokenization.
CoRR, February, 2026

Causal Modeling-Based Multivariate KPIs Prediction for Parameter Adjustment in Cellular Networks.
IEEE Trans. Veh. Technol., January, 2026

Fine-grained inter-series dependency enhanced mining for multi-domain multivariate time series forecasts.
Neurocomputing, 2026

2025
ELinear: An Efficient Linear Architecture for Edge Intelligence Time Series Forecasting.
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

PerTime: A Multi-scale Periodic Mixing Model for Long-term Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2025

PefNet: Injecting Pre-learned Channel Dependence for Time Series Forecasting with Missing Data.
Proceedings of the International Joint Conference on Neural Networks, 2025

2024
CDVD: Causal Dynamic Variational Deconfounder for Estimating Parameter Adjusting Effect.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

World Model Aided Parameter Adjustment Decision and Evaluation System for Radio Access Network.
Proceedings of the IEEE International Conference on Communications, 2024

2023
DCDN: Estimating Handover Parameter Adjusting Effect with Causal Inference.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

ConvAOA: A Convolutional Attention Over Attention Model for Click-Through Rate Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2023


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