Hongfan Gao

Orcid: 0000-0002-4522-8389

According to our database1, Hongfan Gao authored at least 12 papers between 2022 and 2025.

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Bibliography

2025
K<sup>2</sup>VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting.
CoRR, May, 2025

Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models.
Proceedings of the ACM on Web Conference 2025, 2025

MM-Path: Multi-modal, Multi-granularity Path Representation Learning.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024
MM-Path: Multi-modal, Multi-granularity Path Representation Learning - Extended Version.
CoRR, 2024

DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone.
CoRR, 2024

2023
Enhancing Real-Time Super Resolution with Partial Convolution and Efficient Variance Attention.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Novel Learnable Interpolation Approach for Scale-Arbitrary Image Super-Resolution.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Kernel Estimation and Deconvolution for Blind Image Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2023


Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report.
CoRR, 2022



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