Energy Minimum Regularization in Continual Learning. - Xiaobin Li 006; Lianlei Shan; Minglong Li; Weiqiang Wang 001 (ICPR, 2020)

Global-Local Attention Network for Semantic Segmentation in Aerial Images. - Minglong Li; Lianlei Shan; Xiaobin Li 006; Yang Bai; Dengji Zhou; Weiqiang Wang 001; Ke Lv 002; Bin Luo 001; Si-Bao Chen 001 (ICPR, 2020)

UHRSNet: A Semantic Segmentation Network Specifically for Ultra-High-Resolution Images. - Lianlei Shan; Minglong Li; Xiaobin Li 006; Yang Bai; Ke Lv 002; Bin Luo 001; Si-Bao Chen 001; Weiqiang Wang 001 (ICPR, 2020)

Fusing Multitask Models by Recursive Least Squares. - Xiaobin Li 006; Lianlei Shan; Weiqiang Wang 001 (ICASSP, 2021)

Decouple the High-Frequency and Low-Frequency Information of Images for Semantic Segmentation. - Lianlei Shan; Xiaobin Li 006; Weiqiang Wang 001 (ICASSP, 2021)

MBNet: A Multi-Resolution Branch Network for Semantic Segmentation Of Ultra-High Resolution Images. - Lianlei Shan; Weiqiang Wang 001 (ICASSP, 2022)

DenseNet-Based Land Cover Classification Network With Deep Fusion. - Lianlei Shan; Weiqiang Wang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Class-Incremental Learning for Semantic Segmentation in Aerial Imagery via Distillation in All Aspects. - Lianlei Shan; Weiqiang Wang 001; Ke Lv 002; Bin Luo 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Class-Incremental Semantic Segmentation of Aerial Images via Pixel-Level Feature Generation and Task-Wise Distillation. - Lianlei Shan; Weiqiang Wang 001; Ke Lv 002; Bin Luo 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

End-to-End Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters. - Guiqin Zhao; Lianlei Shan; Weiqiang Wang (ICANN (2), 2023)

A Data-Related Patch Proposal for Semantic Segmentation of Aerial Images. - Lianlei Shan; Guiqin Zhao; Jun Xie 003; Peirui Cheng; Xiaobin Li 006; Zhepeng Wang 002 (IEEE Geosci. Remote. Sens. Lett., 2023)

Boosting Semantic Segmentation of Aerial Images via Decoupled and Multilevel Compaction and Dispersion. - Lianlei Shan; Weiqiang Wang 001; Ke Lv 002; Bin Luo 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

LDNET: Semantic Segmentation Of High-Resolution Images Via Learnable Patch Proposal And Dynamic Refinement. - Yuyang Ji; Lianlei Shan (ICME, 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)

Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images. - Lianlei Shan; Weiqiang Wang 001; Ke Lv 002; Bin Luo 001 (CoRR, 2024)

Lifelong Learning and Selective Forgetting via Contrastive Strategy. - Lianlei Shan; Wenzhang Zhou; Wei Li; Xingyu Ding (CoRR, 2024)

Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation. - Lianlei Shan; Wenzhang Zhou; Wei Li; Xingyu Ding (CoRR, 2024)

Continual Learning for Image Segmentation With Dynamic Query. - Weijia Wu 001; Yuzhong Zhao; Zhuang Li 002; Lianlei Shan; Hong Zhou; Mike Zheng Shou (IEEE Trans. Circuits Syst. Video Technol., 2024)

Asymmetric Mamba-CNN Collaborative Architecture for Large-Size Remote Sensing Image Semantic Segmentation. - Jinbo Zhang; Min Chen 015; Yitao Zhao; Lianlei Shan; Caiyi Li; Han Hu 005; Xuming Ge; Qing Zhu; Bo Xu 003 (IEEE Trans. Geosci. Remote. Sens., 2025)

Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation. - Ruochen Pi; Lianlei Shan (CoRR, 2025)

DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models. - Xirui Zhou; Lianlei Shan; Xiaolin Gui (CoRR, 2025)

Cognitive Memory in Large Language Models. - Lianlei Shan; Shixian Luo; Zezhou Zhu; Yu Yuan; Yong Wu (CoRR, 2025)

LLM-CoT Enhanced Graph Neural Recommendation with Harmonized Group Policy Optimization. - Hailong Luo; Bin Wu; Hongyong Jia; Qingqing Zhu; Lianlei Shan (CoRR, 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, 2025)

GeoGramBench: Benchmarking the Geometric Program Reasoning in Modern LLMs. - Shixian Luo; Zezhou Zhu; Yu Yuan; Yuncheng Yang; Lianlei Shan; Yong Wu (CoRR, 2025)

GeoLocSFT: Efficient Visual Geolocation via Supervised Fine-Tuning of Multimodal Foundation Models. - Qiang Yi; Lianlei Shan (CoRR, 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, 2025)

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control. - Xingjun Wang; Lianlei Shan (CoRR, 2025)

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding. - Shiyu Liu; Lianlei Shan (CoRR, 2025)