Xiran Fan

Orcid: 0009-0001-8412-7556

According to our database1, Xiran Fan authored at least 18 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

On csauthors.net:

Bibliography

2026
Understanding LLM Evaluator Behavior: A Structured Multi-Evaluator Framework for Merchant Risk Assessment.
CoRR, February, 2026

TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025
TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification.
CoRR, November, 2025

TransactionGPT.
CoRR, November, 2025

Advancing Table Understanding of Large Language Models via Feature Re-ordering.
SIGKDD Explor., June, 2025

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation.
CoRR, May, 2025

Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers.
CoRR, March, 2025

A Compact Model for Large-Scale Time Series Forecasting.
CoRR, February, 2025

Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Empowering Time Series Forecasting with LLM-Agents.
Proceedings of the IEEE International Conference on Big Data, 2025

UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting.
Proceedings of the IEEE International Conference on Big Data, 2025

EiFormer: Improving Inverted Transformers for Efficient Time Series Forecasting in Large-Scale Spatial-Temporal Data.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
Kernel Stein Discrepancy on Lie Groups: Theory and Applications.
IEEE Trans. Inf. Theory, December, 2024

Discrete-state Continuous-time Diffusion for Graph Generation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Horocycle Decision Boundaries for Large Margin Classification in Hyperbolic Space.
CoRR, 2023

Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022


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