Wei Fan

Orcid: 0000-0001-7656-445X

Affiliations:

University of Oxford, UK
University of Central Florida, FL, USA (PhD 2023)

According to our database¹, Wei Fan authored at least 31 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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Bibliography

2024

DEWP: Deep Expansion Learning for Wind Power Forecasting.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, April, 2024

FilterNet: Harnessing Frequency Filters for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal.

[BibT_eX]

[DOI]

CoRR, 2024

Empowering Pre-Trained Language Models for Spatio-Temporal Forecasting via Decoupling Enhanced Discrete Reprogramming.

[BibT_eX]

[DOI]

CoRR, 2024

Wills Aligner: A Robust Multi-Subject Brain Representation Learner.

[BibT_eX]

[DOI]

CoRR, 2024

Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows.

[BibT_eX]

[DOI]

CoRR, 2024

Dual-stage Flows-based Generative Modeling for Traceable Urban Planning.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Decoupled Invariant Attention Network for Multivariate Time-series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PTaRL: Prototype-based Tabular Representation Learning via Space Calibration.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A primary and secondary feature interactive learning network for bone age assessment.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., August, 2023

Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CFJLNet: Coarse and Fine Feature Joint Learning Network for Bone Age Assessment.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Soft-Contrastive Learning via Neighborhood Ranking.

[BibT_eX]

[DOI]

CoRR, 2022

TransHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction.

[BibT_eX]

[DOI]

CoRR, 2022

Feature and Instance Joint Selection: A Reinforcement Learning Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Wei Fan

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