Junyan Lin

According to our database, Junyan Lin authored at least 16 papers between 2021 and 2024.

Collaborative distances:

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

2024

BO-SHAP-BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities.

Choujun Zhan, Lingfeng Miao, Junyan Lin, Minghao Tan, Kim Fung Tsang, Tianyong Hao, Hu Min, Xuejiao Zhao

Neural Comput. Appl., May, 2024

To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models.

Junyan Lin, Haoran Chen, Dawei Zhu, Xiaoyu Shen

CoRR, 2024

Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs.

Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin

CoRR, 2024

Hyperspectral Image Change Detection via Cross-Sample Slot Attention and Dual Gated Feed-Forward Network.

Luyao Cheng, Junyan Lin, Feng Gao

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Boosting Spatial-Spectral Masked Auto-Encoder Through Mining Redundant Spectra for HSI-SAR/LiDAR Classification.

Junyan Lin, Xuepeng Jin, Feng Gao, Junyu Dong, Hui Yu

Proceedings of the IGARSS 2024, 2024

Sparse Focus Network for Multi-Source Remote Sensing Data Classification.

Xuepeng Jin, Junyan Lin, Feng Gao, Lin Qi, Yang Zhou

Proceedings of the IGARSS 2024, 2024

To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models.

Junyan Lin, Haoran Chen, Dawei Zhu, Xiaoyu Shen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

SS-MAE: Spatial-Spectral Masked Autoencoder for Multisource Remote Sensing Image Classification.

Junyan Lin, Feng Gao, Xiaochen Shi, Junyu Dong, Qian Du

IEEE Trans. Geosci. Remote. Sens., 2023

SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification.

Junyan Lin, Feng Gao, Xiaocheng Shi, Junyu Dong, Qian Du

CoRR, 2023

Multiview Siamese Collaborative Network for Hyperspectral Image Unmixing.

Zimo Yang, Lin Qi, Feng Gao, Junyan Lin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Gated-Cross Aggregation Network for Hyperspectral and LiDAR Data Classification.

Xiaochen Shi, Junyan Lin, Yuan Rao, Yue Sun, Feng Gao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Hyperspectral and SAR Image Classification via Recursive Feature Interactive Fusion Network.

Liang Lv, Junyan Lin, Feng Gao, Lin Qi, Junyu Dong

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Multi-Scale Transformer Network for Hyperspectral Image Denoising.

Shuai Hu, Yikun Hu, Junyan Lin, Feng Gao, Junyu Dong

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Ensemble Learning for Crowdfunding Dynamics: JingDong Crowdfunding Projects.

Hu Min, Kaihan Wu, Minghao Tan, Junyan Lin, Yufan Zheng, Choujun Zhan

Proceedings of the Neural Computing for Advanced Applications, 2022

2021

Detection Capability Prediction Based on Broad Learning System during the COVID-19 Pandemic.

Junyan Lin, Minghao Tan, Yufan Zheng, Kaihan Wu, Choujun Zhan

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Application and Challenges of Blockchain in Heterogeneous Identity Trust.

Zhaolei Zhang, Jian Xu, Guishan Dong, Junyan Lin

Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021