Yufan Wu

Orcid: 0000-0002-3235-5426

According to our database1, Yufan Wu authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
Optimized Design of Shed Parameters for Polluted Hollow Porcelain Insulators at High Altitude.
IEEE Access, 2023

Forecdiction of Short-term Wind Power in Ice Season Based on Wind Turbine Operating State and Deep Learning.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

Hi-ToM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2020
ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis.
CoRR, 2020

Detecting and Recovering Adversarial Examples: An Input Sensitivity Guided Method.
CoRR, 2020

An Improved Salp Swarm Algorithm With Spiral Flight Search for Optimizing Hybrid Active Power Filters' Parameters.
IEEE Access, 2020

An Adaptive Sine-Cosine Moth-Flame Optimization Algorithm for Parameter Identification of Hybrid Active Power Filters in Power Systems.
IEEE Access, 2020

Hybrid Symbiotic Differential Evolution Moth-Flame Optimization Algorithm for Estimating Parameters of Photovoltaic Models.
IEEE Access, 2020

An Improved Dragonfly Algorithm With Higher Exploitation Capability to Optimize the Design of Hybrid Power Active Filter.
IEEE Access, 2020

An Improved Moth Flame Optimization Algorithm for Minimizing Specific Fuel Consumption of Variable Cycle Engine.
IEEE Access, 2020

A Hierarchical Teaching-Learning-Based Optimization Algorithm for Optimal Design of Hybrid Active Power Filter.
IEEE Access, 2020

Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Particle Filter-Based Prediction for Anomaly Detection in Automatic Surveillance.
IEEE Access, 2019

Malaria Cell Detection Using Evolutionary Convolutional Deep Networks.
Proceedings of the Computing, Communications and IoT Applications, ComComAp 2019, Shenzhen, 2019


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