Dense Pyramid Network for Semantic Segmentation of High Resolution Aerial Imagery. - Xuran Pan; Lianru Gao; Bing Zhang 001; Fan Yang; Wenzhi Liao (BICS, 2018)

Semantic Labeling of High Resolution Aerial Imagery and LiDAR Data with Fine Segmentation Network. - Xuran Pan; Lianru Gao; Andrea Marinoni; Bing Zhang 001; Fan Yang; Paolo Gamba (Remote. Sens., 2018)

High-Resolution Aerial Imagery Semantic Labeling with Dense Pyramid Network. - Xuran Pan; Lianru Gao; Bing Zhang 001; Fan Yang; Wenzhi Liao (Sensors, 2018)

Implicit Semantic Data Augmentation for Deep Networks. - Yulin Wang 002; Xuran Pan; Shiji Song; Hong Zhang 009; Gao Huang 001; Cheng Wu (NeurIPS, 2019)

Building Extraction from High-Resolution Aerial Imagery Using a Generative Adversarial Network with Spatial and Channel Attention Mechanisms. - Xuran Pan; Fan Yang; Lianru Gao; Zhengchao Chen; Bing Zhang 001; Hairui Fan; Jinchang Ren (Remote. Sens., 2019)

3D Object Detection With Pointformer. - Xuran Pan; Zhuofan Xia; Shiji Song; Li Erran Li; Gao Huang 001 (CVPR, 2021)

On the Integration of Self-Attention and Convolution. - Xuran Pan; Chunjiang Ge; Rui Lu; Shiji Song; Guanfu Chen; Zeyi Huang; Gao Huang 001 (CVPR, 2022)

Vision Transformer with Deformable Attention. - Zhuofan Xia; Xuran Pan; Shiji Song; Li Erran Li; Gao Huang 001 (CVPR, 2022)

ActiveNeRF: Learning Where to See with Uncertainty Estimation. - Xuran Pan; Zihang Lai; Shiji Song; Gao Huang 001 (ECCV (33), 2022)

Solar Panels Detection of High-Resolution Aerial Images Based on Improved Faster-RCNN. - Jiaochan Hu; Zhijia Wang; Xuran Pan; Pifu Cong; Haoyang Yu 001; Jiaping Chu (IGARSS, 2022)

Contrastive Language-Image Pre-Training with Knowledge Graphs. - Xuran Pan; Tianzhu Ye; Dongchen Han; Shiji Song; Gao Huang 001 (NeurIPS, 2022)

PLAM: A plug-in module for flexible graph attention learning. - Xuran Pan; Shiji Song; Yiming Chen 005; Liejun Wang; Gao Huang 001 (Neurocomputing, 2022)

Regularizing Deep Networks With Semantic Data Augmentation. - Yulin Wang 002; Gao Huang 001; Shiji Song; Xuran Pan; Yitong Xia; Cheng Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Research on the Extraction of Hazard Sources along High-Speed Railways from High-Resolution Remote Sensing Images Based on TE-ResUNet. - Xuran Pan; Lina Yang; Xu Sun 005; Jingchuan Yao; Jiliang Guo (Sensors, 2022)

Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention. - Xuran Pan; Tianzhu Ye; Zhuofan Xia; Shiji Song; Gao Huang 001 (CVPR, 2023)

Dynamic Perceiver for Efficient Visual Recognition. - Yizeng Han; Dongchen Han; Zeyu Liu; Yulin Wang 002; Xuran Pan; Yifan Pu; Chao Deng 004; Junlan Feng; Shiji Song; Gao Huang 001 (ICCV, 2023)

FLatten Transformer: Vision Transformer using Focused Linear Attention. - Dongchen Han; Xuran Pan; Yizeng Han; Shiji Song; Gao Huang 001 (ICCV, 2023)

Budgeted Training for Vision Transformer. - Zhuofan Xia; Xuran Pan; Xuan Jin; Yuan He 011; Hui Xue 001; Shiji Song; Gao Huang 001 (ICLR, 2023)

Joint Representation Learning for Text and 3D Point Cloud. - Rui Huang; Xuran Pan; Henry Zheng; Haojun Jiang; Zhifeng Xie; Shiji Song; Gao Huang 001 (CoRR, 2023)

DAT++: Spatially Dynamic Vision Transformer with Deformable Attention. - Zhuofan Xia; Xuran Pan; Shiji Song; Li Erran Li; Gao Huang 001 (CoRR, 2023)

GSVA: Generalized Segmentation via Multimodal Large Language Models. - Zhuofan Xia; Dongchen Han; Yizeng Han; Xuran Pan; Shiji Song; Gao Huang 001 (CVPR, 2024)

DSMENet: A Road Segmentation Network Based on Dual-Branch Dynamic Snake Convolutional Encoding and Multi-modal Information Iterative Enhancement. - Zhiyang Li; Xuran Pan; Shuhao Yang; Xinqi Yang; Kexing Xu (ICIC (12), 2024)

Bridging the Divide: Reconsidering Softmax and Linear Attention. - Dongchen Han; Yifan Pu; Zhuofan Xia; Yizeng Han; Xuran Pan; Xiu Li 001; Jiwen Lu; Shiji Song; Gao Huang 001 (NeurIPS, 2024)

DFAMNet: dual fusion attention multi-modal network for semantic segmentation on LiDAR point clouds. - Mingjie Li; Gaihua Wang; Minghao Zhu; Chunzheng Li; Hong Liu; Xuran Pan; Qian Long (Appl. Intell., 2024)

A unified framework for convolution-based graph neural networks. - Xuran Pan; Xiaoyan Han; Chaofei Wang; Zhuo Li; Shiji Song; Gao Huang 001; Cheng Wu (Pattern Recognit., 2024)

Joint representation learning for text and 3D point cloud. - Rui Huang; Xuran Pan; Henry Zheng; Haojun Jiang; Zhifeng Xie; Cheng Wu; Shiji Song; Gao Huang 001 (Pattern Recognit., 2024)

FS$^{2}$D: Fully Sparse Few-Shot 3D Object Detection. - Chunzheng Li; Gaihua Wang; Liang Zeng; Qian Long; Zhengshu Zhou; Xuran Pan (IEEE Robotics Autom. Lett., 2025)