Sparse coding for super-resolution via K-means classification. - Aoran Xiao; Zhenfeng Shao; Zhongyuan Wang 001 (ICME Workshops, 2017)

Positioning in Large Indoor Spaces using Smartphone Camera based on Static Objects. - Aoran Xiao; Ruizhi Chen; Dewen Wu; Yujin Chen (UPINLBS, 2018)

Indoor Visual Positioning Aided by CNN-Based Image Retrieval: Training-Free, 3D Modeling-Free. - Yujin Chen; Ruizhi Chen; Mengyun Liu; Aoran Xiao; Dewen Wu; Shuheng Zhao (Sensors, 2018)

An Indoor Positioning System Based on Static Objects in Large Indoor Scenes by Using Smartphone Cameras. - Aoran Xiao; Ruizhi Chen; Deren Li; Yujin Chen; Dewen Wu (Sensors, 2018)

Super-Resolution for "Jilin-1" Satellite Video Imagery via a Convolutional Network. - Aoran Xiao; Zhongyuan Wang 001; Lei Wang 084; Yexian Ren (Sensors, 2018)

Spatial-Aware GAN for Unsupervised Person Re-identification. - Fangneng Zhan; Shijian Lu; Aoran Xiao (CoRR, 2019)

FSDR: Frequency Space Domain Randomization for Domain Generalization. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu (CVPR, 2021)

Cross-View Regularization for Domain Adaptive Panoptic Segmentation. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu (CVPR, 2021)

RDA: Robust Domain Adaptation via Fourier Adversarial Attacking. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu (ICCV, 2021)

Domain Adaptive Video Segmentation via Temporal Consistency Regularization. - Dayan Guan; Jiaxing Huang 001; Aoran Xiao; Shijian Lu (ICCV, 2021)

Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu (NeurIPS, 2021)

FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation. - Aoran Xiao; Xiaofei Yang; Shijian Lu; Dayan Guan; Jiaxing Huang 001 (CoRR, 2021)

MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation. - Jiaxing Huang 001; Dayan Guan; Shijian Lu; Aoran Xiao (CoRR, 2021)

Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu (CoRR, 2021)

Bi-level Feature Alignment for Versatile Image Translation and Manipulation. - Fangneng Zhan; Yingchen Yu; Rongliang Wu; Kaiwen Cui; Aoran Xiao; Shijian Lu; Ling Shao 001 (CoRR, 2021)

SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation. - Aoran Xiao; Jiaxing Huang 001; Dayan Guan; Fangneng Zhan; Shijian Lu (CoRR, 2021)

Scale variance minimization for unsupervised domain adaptation in image segmentation. - Dayan Guan; Jiaxing Huang 001; Shijian Lu; Aoran Xiao (Pattern Recognit., 2021)

Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation. - Aoran Xiao; Jiaxing Huang 001; Dayan Guan; Fangneng Zhan; Shijian Lu (AAAI, 2022)

Category Contrast for Unsupervised Domain Adaptation in Visual Tasks. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu; Ling Shao 001 (CVPR, 2022)

Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation. - Dayan Guan; Jiaxing Huang 001; Aoran Xiao; Shijian Lu (CVPR, 2022)

Bi-level Feature Alignment for Versatile Image Translation and Manipulation. - Fangneng Zhan; Yingchen Yu; Rongliang Wu; Jiahui Zhang; Kaiwen Cui; Aoran Xiao; Shijian Lu; Chunyan Miao (ECCV (16), 2022)

D-LC-Nets: Robust Denoising and Loop Closing Networks for LiDAR SLAM in Complicated Circumstances with Noisy Point Clouds. - Kangcheng Liu; Aoran Xiao; Jiaxing Huang 001; Kaiwen Cui; Yun Xing 001; Shijian Lu (IROS, 2022)

Masked Generative Adversarial Networks are Data-Efficient Generation Learners. - Jiaxing Huang 001; Kaiwen Cui; Dayan Guan; Aoran Xiao; Fangneng Zhan; Shijian Lu; Shengcai Liao; Eric P. Xing (NeurIPS, 2022)

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. - Aoran Xiao; Jiaxing Huang 001; Dayan Guan; Kaiwen Cui; Shijian Lu; Ling Shao 001 (NeurIPS, 2022)

Unsupervised Representation Learning for Point Clouds: A Survey. - Aoran Xiao; Jiaxing Huang 001; Dayan Guan; Shijian Lu (CoRR, 2022)

Multi-level adversarial network for domain adaptive semantic segmentation. - Jiaxing Huang 001; Dayan Guan; Aoran Xiao; Shijian Lu (Pattern Recognit., 2022)

Coprime Sensing for Airborne Array Interferometric SAR Tomography. - Yexian Ren; Aoran Xiao; Fengming Hu; Feng Xu 001; Xiaolan Qiu; Chibiao Ding; Ya-Qiu Jin (IEEE Trans. Geosci. Remote. Sens., 2022)

Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection. - Dayan Guan; Jiaxing Huang 001; Aoran Xiao; Shijian Lu; Yanpeng Cao (IEEE Trans. Multim., 2022)

FAC: 3D Representation Learning via Foreground Aware Feature Contrast. - Kangcheng Liu; Aoran Xiao; Xiaoqin Zhang 002; Shijian Lu; Ling Shao 001 (CVPR, 2023)

3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds. - Aoran Xiao; Jiaxing Huang 001; Weihao Xuan; Ruijie Ren; Kangcheng Liu; Dayan Guan; Abdulmotaleb El-Saddik; Shijian Lu; Eric P. Xing (CVPR, 2023)

Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation. - Yun Xing 001; Jian Kang; Aoran Xiao; Jiahao Nie 002; Ling Shao 001; Shijian Lu (NeurIPS, 2023)

Bridging Semantic Gaps for Language-Supervised Semantic Segmentation. - Yun Xing 001; Jian Kang; Aoran Xiao; Jiahao Nie 002; Ling Shao 001; Shijian Lu (CoRR, 2023)

Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey. - Aoran Xiao; Jiaxing Huang 001; Dayan Guan; Xiaoqin Zhang 002; Shijian Lu; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining. - Jiahao Nie 002; Yun Xing 001; Gongjie Zhang; Pei Yan; Aoran Xiao; Yap-Peng Tan; Alex C. Kot; Shijian Lu (CVPR, 2024)

CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model. - Aoran Xiao; Weihao Xuan; Heli Qi; Yun Xing 001; Ruijie Ren; Xiaoqin Zhang 002; Ling Shao 001; Shijian Lu (ECCV (40), 2024)

Conditional Tuning Network for Few-Shot Adaptation of Segmentation Anything Model. - Aoran Xiao; Weihao Xuan; Heli Qi; Yun Xing 001; Ruijie Ren; Xiaoqin Zhang 002; Ling Shao 005; Shijian Lu (CoRR, 2024)

Segment Anything with Multiple Modalities. - Aoran Xiao; Weihao Xuan; Heli Qi; Yun Xing 001; Naoto Yokoya; Shijian Lu (CoRR, 2024)

Foundation Models for Remote Sensing and Earth Observation: A Survey. - Aoran Xiao; Weihao Xuan; Junjue Wang; Jiaxing Huang 001; Dacheng Tao; Shijian Lu; Naoto Yokoya (CoRR, 2024)

Domain Adaptive LiDAR Point Cloud Segmentation With 3D Spatial Consistency. - Aoran Xiao; Dayan Guan; Xiaoqin Zhang 002; Shijian Lu (IEEE Trans. Multim., 2024)

Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training. - Aoran Xiao; Jiaxing Huang 001; Kangcheng Liu; Dayan Guan; Xiaoqin Zhang 002; Shijian Lu (IEEE Trans. Intell. Transp. Syst., 2024)

A Survey of Label-Efficient Deep Learning for 3D Point Clouds. - Aoran Xiao; Xiaoqin Zhang 002; Ling Shao 001; Shijian Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

S2Match: Self-paced sampling for data-limited semi-supervised learning. - Dayan Guan; Yun Xing 001; Jiaxing Huang 001; Aoran Xiao; Abdulmotaleb El-Saddik; Shijian Lu (Pattern Recognit., 2025)

A Vision Centric Remote Sensing Benchmark. - Abduljaleel Adejumo; Faegheh Yeganli; Clifford Broni-Bediako; Aoran Xiao; Naoto Yokoya; Mennatullah Siam (CoRR, 2025)

SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image Understanding. - Yimin Wei 008; Aoran Xiao; Yexian Ren; Yuting Zhu; Hongruixuan Chen; Junshi Xia; Naoto Yokoya (CoRR, 2025)

PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency. - Haotian Wang; Aoran Xiao; Xiaoqin Zhang 002; Meng Yang; Shijian Lu (CoRR, 2025)