AlphaMEX: A smarter global pooling method for convolutional neural networks. - Boxue Zhang; Qi Zhao 001; Wenquan Feng; Shuchang Lyu (Neurocomputing, 2018)

A CNN-SIFT Hybrid Pedestrian Navigation Method Based on First-Person Vision. - Qi Zhao 001; Boxue Zhang; Shuchang Lyu; Hong Zhang 018; Daniel Sun 004; Guoqiang Li 001; Wenquan Feng (Remote. Sens., 2018)

Multiactivation Pooling Method in Convolutional Neural Networks for Image Recognition. - Qi Zhao 001; Shuchang Lyu; Boxue Zhang; Wenquan Feng (Wirel. Commun. Mob. Comput., 2018)

Deep Similarity Fusion Networks for One-Shot Semantic Segmentation. - Shuchang Lyu; Guangliang Cheng; Qimin Ding (ACPR (1), 2019)

RSNet: A Compact Relative Squeezing Net for Image Recognition. - Qi Zhao 001; Nauman Raoof; Shuchang Lyu; Boxue Zhang; Wenquan Feng (VCIP, 2019)

Interpretable Relative Squeezing bottleneck design for compact convolutional neural networks model. - Qi Zhao 001; Jiahui Liu; Boxue Zhang; Shuchang Lyu; Nauman Raoof; Wenquan Feng (Image Vis. Comput., 2019)

MGML: Multi-Granularity Multi-Level Feature Ensemble Network for Remote Sensing Scene Classification. - Qi Zhao 001; Shuchang Lyu; Yuewen Li; Yujing Ma; Lijiang Chen (CoRR, 2020)

MM-FSOD: Meta and metric integrated few-shot object detection. - Yuewen Li; Wenquan Feng; Shuchang Lyu; Qi Zhao 001; Xuliang Li 005 (CoRR, 2020)

Make Baseline Model Stronger: Embedded Knowledge Distillation in Weight-Sharing Based Ensemble Network. - Shuchang Lyu; Qi Zhao 001; Yujing Ma; Lijiang Chen (BMVC, 2021)

VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results. - Yaru Cao; Zhijian He; Lujia Wang 001; Wenguan Wang; Yixuan Yuan; Dingwen Zhang; Jinglin Zhang; Pengfei Zhu 001; Luc Van Gool; Junwei Han 001; Steven C. H. Hoi; Qinghua Hu; et al. (ICCVW, 2021)

TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios. - Xingkui Zhu; Shuchang Lyu; Xu Wang; Qi Zhao 001 (ICCVW, 2021)

Embedded Knowledge Distillation in Depth-level Dynamic Neural Network. - Shuchang Lyu; Ting-Bing Xu; Guangliang Cheng (CoRR, 2021)

Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification. - Qi Zhao 001; Yujing Ma; Shuchang Lyu; Lijiang Chen (CoRR, 2021)

A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation. - Qi Zhao 001; Binghao Liu; Shuchang Lyu; Xu Wang; Yifan Yang 003 (CoRR, 2021)

Attention-based Feature Decomposition-Reconstruction Network for Scene Text Detection. - Qi Zhao 001; Yufei Wang; Shuchang Lyu; Lijiang Chen (CoRR, 2021)

A Similarity Distillation Guided Feature Refinement Network for Few-Shot Semantic Segmentation. - Shuchang Lyu; Binghao Liu; Lijiang Chen; Qi Zhao 001 (ICIP, 2022)

Using Guided Self-Attention with Local Information for Polyp Segmentation. - Linghan Cai; Meijing Wu; Lijiang Chen; Wenpei Bai; Min Yang; Shuchang Lyu; Qi Zhao 001 (MICCAI (4), 2022)

ML-FDA: Meta-Learning via Feature Distribution Alignment for Few-Shot Learning. - Yuewen Li; Binghao Liu; Shuchang Lyu; Lijiang Chen; Qi Zhao 001; Wenquan Feng (VCIP, 2022)

A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation. - Qi Zhao 001; Shuchang Lyu; Wenpei Bai; Linghan Cai; Binghao Liu; Meijing Wu; Xiubo Sang; Min Yang; Lijiang Chen (CoRR, 2022)

Look in Different Views: Multi-Scheme Regression Guided Cell Instance Segmentation. - Menghao Li; Wenquan Feng; Shuchang Lyu; Lijiang Chen; Qi Zhao 001 (CoRR, 2022)

A feature consistency driven attention erasing network for fine-grained image retrieval. - Qi Zhao 001; Xu Wang; Shuchang Lyu; Binghao Liu; Yifan Yang 003 (Pattern Recognit., 2022)

Embedded Self-Distillation in Compact Multibranch Ensemble Network for Remote Sensing Scene Classification. - Qi Zhao 001; Yujing Ma; Shuchang Lyu; Lijiang Chen (IEEE Trans. Geosci. Remote. Sens., 2022)

Decision Boundary Optimization for Few-shot Class-Incremental Learning. - Chenxu Guo; Qi Zhao 001; Shuchang Lyu; Binghao Liu; Chunlei Wang; Lijiang Chen; Guangliang Cheng (ICCV (Workshops), 2023)

Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision. - Menghao Li; Chunlei Wang; Wenquan Feng; Shuchang Lyu; Guangliang Cheng; Xiangtai Li; Binghao Liu; Qi Zhao 001 (ICCV (Workshops), 2023)

Enhancing Spatial Consistency and Class-Level Diversity for Segmenting Fine-Grained Objects. - Qi Zhao 001; Binghao Liu; Shuchang Lyu; Chunlei Wang; Yifan Yang 003 (ICONIP (11), 2023)

Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation. - Qi Zhao 001; Shuchang Lyu; Binghao Liu; Lijiang Chen; Hongbo Zhao 001 (CoRR, 2023)

Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search. - Guangliang Cheng; Peng Sun; Ting-Bing Xu; Shuchang Lyu; Peiwen Lin (CoRR, 2023)

Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review. - Guangliang Cheng; Yunmeng Huang; Xiangtai Li; Shuchang Lyu; Zhaoyang Xu; Qi Zhao 001; Shiming Xiang (CoRR, 2023)

MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World. - Zheng Zhou 007; Hongbo Zhao 001; Ju Liu; Qiaosheng Zhang; Liwei Geng; Shuchang Lyu; Wenquan Feng (CoRR, 2023)

Feature reconstruction and metric based network for few-shot object detection. - Yuewen Li; Wenquan Feng; Shuchang Lyu; Qi Zhao 001 (Comput. Vis. Image Underst., 2023)

TPH-YOLOv5++: Boosting Object Detection on Drone-Captured Scenarios with Cross-Layer Asymmetric Transformer. - Qi Zhao 001; Binghao Liu; Shuchang Lyu; Chunlei Wang; Hong Zhang 018 (Remote. Sens., 2023)

MGML: Multigranularity Multilevel Feature Ensemble Network for Remote Sensing Scene Classification. - Qi Zhao 001; Shuchang Lyu; Yuewen Li; Yujing Ma; Lijiang Chen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Detection Method of Infected Wood on Digital Orthophoto Map-Digital Surface Model Fusion Network. - Guangbiao Wang; Hongbo Zhao 001; Qing Chang 003; Shuchang Lyu; Binghao Liu; Chunlei Wang; Wenquan Feng (Remote. Sens., 2023)

Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network. - Qi Zhao 001; Shuchang Lyu; Lijiang Chen; Binghao Liu; Ting-Bing Xu; Guangliang Cheng; Wenquan Feng (IEEE Trans. Circuits Syst. Video Technol., 2023)

Self-Training and Curriculum Learning Guided Dynamic Refined Network for Remote Sensing Class-Incremental Semantic Segmentation. - Hongbo Zhao 001; Ruimin Ren; Shuchang Lyu; Binghao Liu; Chunlei Wang; Meng Li; Guangliang Cheng; Qi Zhao 001 (IGARSS, 2024)

OVGNet: A Unified Visual-Linguistic Framework for Open-Vocabulary Robotic Grasping. - Meng Li; Qi Zhao 001; Shuchang Lyu; Chunlei Wang; Yujing Ma; Guangliang Cheng; Chenguang Yang 001 (IROS, 2024)

Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation. - Qi Zhao 001; Shuchang Lyu; Hongbo Zhao 001; Binghao Liu; Lijiang Chen; Guangliang Cheng (Int. J. Appl. Earth Obs. Geoinformation, 2024)

BACON: Bayesian Optimal Condensation Framework for Dataset Distillation. - Zheng Zhou 007; Hongbo Zhao 001; Guangliang Cheng; Xiangtai Li; Shuchang Lyu; Wenquan Feng; Qi Zhao 001 (CoRR, 2024)

Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model. - Shuchang Lyu; Qi Zhao 001; Guangliang Cheng; Yiwei He; Zheng Zhou 007; Guangbiao Wang; Zhenwei Shi (CoRR, 2024)

BEARD: Benchmarking the Adversarial Robustness for Dataset Distillation. - Zheng Zhou 007; Wenquan Feng; Shuchang Lyu; Guangliang Cheng; Xiaowei Huang 001; Qi Zhao 001 (CoRR, 2024)

OV-VG: A benchmark for open-vocabulary visual grounding. - Chunlei Wang; Wenquan Feng; Xiangtai Li; Guangliang Cheng; Shuchang Lyu; Binghao Liu; Lijiang Chen; Qi Zhao 001 (Neurocomputing, 2024)

WEA-DINO: An Improved DINO With Word Embedding Alignment for Remote Scene Zero-Shot Object Detection. - Guangbiao Wang; Hongbo Zhao 001; Qing Chang 003; Shuchang Lyu; Guangliang Cheng; Huojin Chen (IEEE Geosci. Remote. Sens. Lett., 2024)

SWIN-TOD: Smooth Wasserstein Distance and Instance-Level Neighboring Enhancement for Remote Sensing Tiny Object Detection. - Guangbiao Wang; Hongbo Zhao 001; Shuchang Lyu; Guangliang Cheng; Qing Chang 003; Wenquan Feng; Qi Zhao 001; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2024)

A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation. - Qi Zhao 001; Binghao Liu; Shuchang Lyu; Huojin Chen (IEEE Trans. Cogn. Dev. Syst., 2024)

VALNet: Vision-Based Autonomous Landing with Airport Runway Instance Segmentation. - Qiang Wang; Wenquan Feng; Hongbo Zhao 001; Binghao Liu; Shuchang Lyu (Remote. Sens., 2024)

Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review. - Guangliang Cheng; Yunmeng Huang; Xiangtai Li; Shuchang Lyu; Zhaoyang Xu; Hongbo Zhao 001; Qi Zhao 001; Shiming Xiang (Remote. Sens., 2024)

Enhancing drone-based fire detection with flame-specific attention and optimized feature fusion. - Qiang Wang; Shiyu Guan; Shuchang Lyu; Guangliang Cheng (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Look in different views: Multi-scheme regression guided cell instance segmentation. - Yunmeng Huang; Wenquan Feng; Shuchang Lyu; Guangliang Cheng; Qi Zhao 001; Lin Li; Lijiang Chen (Knowl. Based Syst., 2025)

Unsupervised Domain Adaptation for VHR Urban Scene Segmentation via Prompted Foundation Model-Based Hybrid Training Joint-Optimized Network. - Shuchang Lyu; Qi Zhao 001; Yaxuan Sun; Guangliang Cheng; Yiwei He; Guangbiao Wang; Jinchang Ren; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2025)

A Masked Reference Token Supervision-Based Iterative Visual-Language Framework for Robust Visual Grounding. - Chunlei Wang; Wenquan Feng; Shuchang Lyu; Guangliang Cheng; Xiangtai Li; Binghao Liu; Qi Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion Segmentation. - Muyi Bao; Shuchang Lyu; Zhaoyang Xu; Qi Zhao 001; Changyu Zeng; Wenpei Bai; Guangliang Cheng (CoRR, 2025)

Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook. - Muyi Bao; Shuchang Lyu; Zhaoyang Xu; Huiyu Zhou 001; Jinchang Ren; Shiming Xiang; Xiangtai Li; Guangliang Cheng (CoRR, 2025)

ViTaL: A Multimodality Dataset and Benchmark for Multi-pathological Ovarian Tumor Recognition. - You Zhou; Lijiang Chen; Guangxia Cui; Wenpei Bai; Yu Guo; Shuchang Lyu; Guangliang Cheng; Qi Zhao 001 (CoRR, 2025)

RAIDX: A Retrieval-Augmented Generation and GRPO Reinforcement Learning Framework for Explainable Deepfake Detection. - Tianxiao Li; Zhenglin Huang; Haiquan Wen; Yiwei He; Shuchang Lyu; Baoyuan Wu; Guangliang Cheng (CoRR, 2025)