Application and Challenges of Blockchain in Heterogeneous Identity Trust. - Zhaolei Zhang; Jian Xu; Guishan Dong; Junyan Lin (BlockSys, 2021)

Detection Capability Prediction Based on Broad Learning System during the COVID-19 Pandemic. - Junyan Lin; Minghao Tan; Yufan Zheng; Kaihan Wu; Choujun Zhan (ISKE, 2021)

Ensemble Learning for Crowdfunding Dynamics: JingDong Crowdfunding Projects. - Hu Min; Kaihan Wu; Minghao Tan; Junyan Lin; Yufan Zheng; Choujun Zhan (NCAA (2), 2022)

Multi-Scale Transformer Network for Hyperspectral Image Denoising. - Shuai Hu; Yikun Hu; Junyan Lin; Feng Gao 005; Junyu Dong (IGARSS, 2023)

Hyperspectral and SAR Image Classification via Recursive Feature Interactive Fusion Network. - Liang Lv; Junyan Lin; Feng Gao 005; Lin Qi 004; Junyu Dong (IGARSS, 2023)

Gated-Cross Aggregation Network for Hyperspectral and LiDAR Data Classification. - Xiaochen Shi; Junyan Lin; Yuan Rao 001; Yue Sun; Feng Gao 005 (IGARSS, 2023)

Multiview Siamese Collaborative Network for Hyperspectral Image Unmixing. - Zimo Yang; Lin Qi 004; Feng Gao 005; Junyan Lin (IGARSS, 2023)

SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification. - Junyan Lin; Feng Gao 005; Xiaocheng Shi; Junyu Dong; Qian Du 001 (CoRR, 2023)

SS-MAE: Spatial-Spectral Masked Autoencoder for Multisource Remote Sensing Image Classification. - Junyan Lin; Feng Gao 005; Xiaochen Shi; Junyu Dong; Qian Du 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

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 001 (EMNLP, 2024)

Sparse Focus Network for Multi-Source Remote Sensing Data Classification. - Xuepeng Jin; Junyan Lin; Feng Gao 005; Lin Qi 004; Yang Zhou (IGARSS, 2024)

Boosting Spatial-Spectral Masked Auto-Encoder Through Mining Redundant Spectra for HSI-SAR/LiDAR Classification. - Junyan Lin; Xuepeng Jin; Feng Gao 005; Junyu Dong; Hui Yu 001 (IGARSS, 2024)

Hyperspectral Image Change Detection via Cross-Sample Slot Attention and Dual Gated Feed-Forward Network. - Luyao Cheng; Junyan Lin; Feng Gao 005 (PRCV (13), 2024)

Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs. - Jinming Liu 001; Yuntao Wei; Junyan Lin; Shengyang Zhao; Heming Sun; Zhibo Chen 001; Wenjun Zeng 001; Xin Jin 014 (VCIP, 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)

Semantics Disentanglement and Composition for Versatile Codec toward both Human-eye Perception and Machine Vision Task. - Jinming Liu 001; Yuntao Wei; Junyan Lin; Shengyang Zhao; Heming Sun; Zhibo Chen 001; Wenjun Zeng 001; Xin Jin 014 (CoRR, 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., 2024)

Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices. - Junyan Lin; Haoran Chen; Yue Fan; Yingqi Fan; Xin Jin; Hui Su; Jinlan Fu; Xiaoyu Shen (CVPR, 2025)

Dynamic Cross-Modal Feature Interaction Network for Hyperspectral and LiDAR Data Classification. - Junyan Lin; Feng Gao 005; Lin Qi 004; Junyu Dong; Qian Du 001; Xinbo Gao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices. - Junyan Lin; Haoran Chen; Yue Fan; Yingqi Fan; Xin Jin; Hui Su; Jinlan Fu; Xiaoyu Shen 001 (CoRR, 2025)

Dynamic Cross-Modal Feature Interaction Network for Hyperspectral and LiDAR Data Classification. - Junyan Lin; Feng Gap; Lin Qi 004; Junyu Dong; Qian Du 001; Xinbo Gao 001 (CoRR, 2025)

Rethinking Visual Layer Selection in Multimodal LLMs. - Haoran Chen; Junyan Lin; Xinhao Chen; Yue Fan; Xin Jin; Hui Su; Jianfeng Dong; Jinlan Fu; Xiaoyu Shen 001 (CoRR, 2025)