Di Wang

Orcid: 0000-0003-1586-0196

Affiliations:

Tianjin University, School of Electrical and Information Engineering, China (PhD 2018)

According to our database¹, Di Wang authored at least 16 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

USER: Unified Semantic Enhancement With Momentum Contrast for Image-Text Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

2023

Loss-Controlling Calibration for Predictive Models.

[BibT_eX]

[DOI]

CoRR, 2023

Conformal Loss-Controlling Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Study on Quantitative Precipitation Estimation and Model's Transfer Performance by Incorporating Dual Polarization Radar Variables.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

2022

A Conformal Regressor With Random Forests for Tropical Cyclone Intensity Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Calibrating probabilistic predictions of quantile regression forests with conformal predictive systems.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2022

Improving Remote Sensing Image Captioning by Combining Grid Features and Transformer.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

A Spatiotemporal Attention Model for Severe Precipitation Estimation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Using Conditional Generative Adversarial 3-D Convolutional Neural Network for Precise Radar Extrapolation.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020

A Center Location Algorithm for Tropical Cyclone in Satellite Infrared Images.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

A fast conformal predictive system with regularized extreme learning machine.

[BibT_eX]

[DOI]

Neural Networks, 2020

Asymptotic analysis of locally weighted jackknife prediction.

[BibT_eX]

[DOI]

Neurocomputing, 2020

A conformal prediction inspired approach for distribution regression with random Fourier features.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

2019

A performance bound of the multi-output extreme learning machine classifier.

[BibT_eX]

[DOI]

Di Wang

Ping Wang

Jun-Zhi Shi

Memetic Comput., 2019

2018

A fast and efficient conformal regressor with regularized extreme learning machine.

[BibT_eX]

[DOI]

Di Wang

Ping Wang

Jun-Zhi Shi

Neurocomputing, 2018

2015

An oscillation bound of the generalization performance of extreme learning machine and corresponding analysis.

[BibT_eX]

[DOI]

Di Wang

Ping Wang

Yan Ji

Neurocomputing, 2015

Di Wang

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