Songhai Fan

According to our database1, Songhai Fan authored at least 20 papers between 2018 and 2026.

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Timeline

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Bibliography

2026
A Directed Graph Model and Experimental Framework for Design and Study of Time-Dependent Text Visualisation.
CoRR, March, 2026

KiST: Kernel improved spectral theory model for multivariate time series forecasting.
Inf. Sci., 2026

DiM: Improving multivariate time series forecasting with DI embedding and multi-head graph learning mechanism.
Neurocomputing, 2026

2025
YOLO-SRSA: An Improved YOLOv7 Network for the Abnormal Detection of Power Equipment.
Inf., 2025

Improved U-Net for Precise Gauge Dial Segmentation in Substation Inspection Systems: A Study on Enhancing Accuracy and Robustness.
Inf., 2025

Automatic Reading Method for Analog Dial Gauges with Different Measurement Ranges in Outdoor Substation Scenarios.
Inf., 2025

From global to local: A lightweight CNN approach for long-term time series forecasting.
Comput. Electr. Eng., 2025

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
TimeSQL: Improving multivariate time series forecasting with multi-scale patching and smooth quadratic loss.
Inf. Sci., 2024

FTMLP: MLP with Feature-Temporal Block for multivariate time series forecasting.
Neurocomputing, 2024

Pre-insertion resistors temperature prediction based on improved WOA-SVR.
CoRR, 2024

2023
Dance of Channel and Sequence: An Efficient Attention-Based Approach for Multivariate Time Series Forecasting.
CoRR, 2023

TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss.
CoRR, 2023

2021
Dissolved Gas Analysis for Transformer Fault Based on Learning Spiking Neural P System with Belief AdaBoost.
Int. J. Unconv. Comput., 2021

Implementation of Kernel P Systems in CUDA for Solving NP-hard Problems.
Int. J. Unconv. Comput., 2021

2020
A Maximum Entropy Segmentation and Gabor Filtering Algorithm for Transformer Oil Conservator Oil Level Detectio.
Proceedings of the RICAI 2020: 2nd International Conference on Robotics, 2020

2018
Estimation of Ground Deformation of transmission corridors in mountain areas Using Stanford Method.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Height Estimation of Electric Power Transmission Tower Based on Tomography SAR Imaing Method using Staring Spotlight Mode Terrasar-X Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A 100μW AC-DC Boost Converter for Electromagnetic Energy Harvesting With 0.2 VPeak Self-starting Voltage and 85% Efficiency.
Proceedings of the 2018 IEEE Asia Pacific Conference on Circuits and Systems, 2018


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