Weilin Ruan

Orcid: 0009-0000-5053-6047

According to our database1, Weilin Ruan authored at least 15 papers between 2024 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
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models.
CoRR, February, 2026

Visual Reasoning over Time Series via Multi-Agent System.
CoRR, February, 2026

SEDformer: Event-Synchronous Spiking Transformers for Irregular Telemetry Time Series Forecasting.
CoRR, February, 2026

A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst., November, 2025

A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation.
CoRR, October, 2025

An Empirical Study of the Anchoring Effect in LLMs: Existence, Mechanism, and Potential Mitigations.
CoRR, May, 2025

Vision-Enhanced Time Series Forecasting via Latent Diffusion Models.
CoRR, February, 2025

ST-LoRA: Low-Rank Adaptation for Spatio-Temporal Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Towards Multi-Scenario Forecasting of Building Electricity Loads with Multimodal Data.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting.
Proceedings of the Forty-second International Conference on Machine Learning, 2025


2024
Low-rank Adaptation for Spatio-Temporal Forecasting.
CoRR, 2024


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