Dekun Lin

According to our database, Dekun Lin authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Framework for Generating High-Resolution Seamless Remote Sensing Images for Regional-Scale Areas.

Dekun Lin, Huanfeng Shen, Zhonghang Qiu, Shaocong Zhu, Wenli Huang, Tao Jiang

IEEE Geosci. Remote. Sens. Lett., 2024

Corrigendum to "A fast and robust cirrus removal method for Landsat 8/9 images" [Int. J. Appl. Earth Obs. and Geoinf. 128 (2024) 103691].

Tao Jiang, Huanfeng Shen, Huifang Li, Chi Zhang, Liying Xu, Dekun Lin

Int. J. Appl. Earth Obs. Geoinformation, 2024

A fast and robust cirrus removal method for Landsat 8/9 images.

Tao Jiang, Huanfeng Shen, Huifang Li, Chi Zhang, Liying Xu, Dekun Lin

Int. J. Appl. Earth Obs. Geoinformation, 2024

Let Multi-classification Help Deep Imbalanced Regression.

Dekun Lin, Tailai Peng, Rui Chen, Xinran Xie, Zhe Cui

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

An Evaluation Dataset for Targeted Sentiment Analysis in Long-Form Chinese News Articles.

Rui Chen, Tailai Peng, Xinran Xie, Dekun Lin, Zhe Cui, Zheng Chen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Distributionally Robust Loss for Long-Tailed Multi-label Image Classification.

Dekun Lin, Tailai Peng, Rui Chen, Xinran Xie, Xiaolin Qin, Zhe Cui

Proceedings of the Computer Vision - ECCV 2024, 2024

Improving Zero-Shot Information Retrieval with Mutual Validation of Generative and Pseudo-Relevance Feedback.

Xinran Xie, Rui Chen, TaiLai Peng, Dekun Lin, Zhe Cui

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Probability Guided Loss for Long-Tailed Multi-Label Image Classification.

Dekun Lin

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

2022

A Spatiotemporal Constrained Machine Learning Method for OCO-2 Solar-Induced Chlorophyll Fluorescence (SIF) Reconstruction.

Huanfeng Shen, Yuchen Wang, Xiaobin Guan, Wenli Huang, Jiajia Chen, Dekun Lin, Wenxia Gan

IEEE Trans. Geosci. Remote. Sens., 2022