Lianlei Shan

According to our database, Lianlei Shan authored at least 29 papers between 2020 and 2025.

Collaborative distances:

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

2025

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding.

Shiyu Liu, Lianlei Shan

CoRR, July, 2025

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control.

Xingjun Wang, Lianlei Shan

CoRR, July, 2025

RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1.

Yu Xie, Xingkai Ren, Ying Qi, Yao Hu, Lianlei Shan

CoRR, June, 2025

GeoLocSFT: Efficient Visual Geolocation via Supervised Fine-Tuning of Multimodal Foundation Models.

Qiang Yi, Lianlei Shan

CoRR, June, 2025

GeoGramBench: Benchmarking the Geometric Program Reasoning in Modern LLMs.

Shixian Luo, Zezhou Zhu, Yu Yuan, Yuncheng Yang, Lianlei Shan, Yong Wu

CoRR, May, 2025

GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval.

Chengsong Sun, Weiping Li, Xiang Li, Yuankun Liu, Lianlei Shan

CoRR, May, 2025

LLM-CoT Enhanced Graph Neural Recommendation with Harmonized Group Policy Optimization.

Hailong Luo, Bin Wu, Hongyong Jia, Qingqing Zhu, Lianlei Shan

CoRR, May, 2025

Cognitive Memory in Large Language Models.

Lianlei Shan, Shixian Luo, Zezhou Zhu, Yu Yuan, Yong Wu

CoRR, April, 2025

DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models.

Xirui Zhou, Lianlei Shan, Xiaolin Gui

CoRR, March, 2025

Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation.

Ruochen Pi, Lianlei Shan

CoRR, March, 2025

Asymmetric Mamba-CNN Collaborative Architecture for Large-Size Remote Sensing Image Semantic Segmentation.

Jinbo Zhang, Min Chen, Yitao Zhao, Lianlei Shan, Caiyi Li, Han Hu, Xuming Ge, Qing Zhu, Bo Xu

IEEE Trans. Geosci. Remote. Sens., 2025

2024

Continual Learning for Image Segmentation With Dynamic Query.

Weijia Wu, Yuzhong Zhao, Zhuang Li, Lianlei Shan, Hong Zhou, Mike Zheng Shou

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation.

Lianlei Shan, Wenzhang Zhou, Wei Li, Xingyu Ding

CoRR, 2024

Lifelong Learning and Selective Forgetting via Contrastive Strategy.

Lianlei Shan, Wenzhang Zhou, Wei Li, Xingyu Ding

CoRR, 2024

Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images.

Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo

CoRR, 2024

The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention.

Xingyu Ding, Lianlei Shan, Guiqin Zhao, Meiqi Wu, Wenzhang Zhou, Wei Li

CoRR, 2024

LDNET: Semantic Segmentation Of High-Resolution Images Via Learnable Patch Proposal And Dynamic Refinement.

Yuyang Ji, Lianlei Shan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Boosting Semantic Segmentation of Aerial Images via Decoupled and Multilevel Compaction and Dispersion.

Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo

IEEE Trans. Geosci. Remote. Sens., 2023

A Data-Related Patch Proposal for Semantic Segmentation of Aerial Images.

Lianlei Shan, Guiqin Zhao, Jun Xie, Peirui Cheng, Xiaobin Li, Zhepeng Wang

IEEE Geosci. Remote. Sens. Lett., 2023

End-to-End Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters.

Guiqin Zhao, Lianlei Shan, Weiqiang Wang

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Class-Incremental Semantic Segmentation of Aerial Images via Pixel-Level Feature Generation and Task-Wise Distillation.

Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo

IEEE Trans. Geosci. Remote. Sens., 2022

Class-Incremental Learning for Semantic Segmentation in Aerial Imagery via Distillation in All Aspects.

Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo

IEEE Trans. Geosci. Remote. Sens., 2022

DenseNet-Based Land Cover Classification Network With Deep Fusion.

Lianlei Shan, Weiqiang Wang

IEEE Geosci. Remote. Sens. Lett., 2022

MBNet: A Multi-Resolution Branch Network for Semantic Segmentation Of Ultra-High Resolution Images.

Lianlei Shan, Weiqiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Decouple the High-Frequency and Low-Frequency Information of Images for Semantic Segmentation.

Lianlei Shan, Xiaobin Li, Weiqiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

Fusing Multitask Models by Recursive Least Squares.

Xiaobin Li, Lianlei Shan, Weiqiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

UHRSNet: A Semantic Segmentation Network Specifically for Ultra-High-Resolution Images.

Lianlei Shan, Minglong Li, Xiaobin Li, Yang Bai, Ke Lv, Bin Luo, Si-Bao Chen, Weiqiang Wang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Global-Local Attention Network for Semantic Segmentation in Aerial Images.

Minglong Li, Lianlei Shan, Xiaobin Li, Yang Bai, Dengji Zhou, Weiqiang Wang, Ke Lv, Bin Luo, Si-Bao Chen

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Energy Minimum Regularization in Continual Learning.

Xiaobin Li, Lianlei Shan, Minglong Li, Weiqiang Wang

Proceedings of the 25th International Conference on Pattern Recognition, 2020