Detecting Citrus in Orchard Environment by Using Improved YOLOv4. - Wenkang Chen; Shenglian Lu; Binghao Liu; Guo Li; Tingting Qian (Sci. Program., 2020)

Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation. - Binghao Liu; Yao Ding 006; Jianbin Jiao; Xiangyang Ji; Qixiang Ye (CVPR, 2021)

Knowledge-Aware Hypergraph Neural Network for Recommender Systems. - Binghao Liu; Pengpeng Zhao 001; Fuzhen Zhuang; Xuefeng Xian; Yanchi Liu; Victor S. Sheng (DASFAA (3), 2021)

Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning. - Boyu Yang 002; Mingbao Lin; Binghao Liu; Mengying Fu; Chang Liu 042; Rongrong Ji; Qixiang Ye (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)

Harmonic Feature Activation for Few-Shot Semantic Segmentation. - Binghao Liu; Jianbin Jiao; Qixiang Ye (IEEE Trans. Image Process., 2021)

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

CitrusYOLO: A Algorithm for Citrus Detection under Orchard Environment Based on YOLOv4. - Wenkang Chen; Shenglian Lu; Binghao Liu; Ming Chen; Guo Li; Tingting Qian (Multim. Tools Appl., 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)

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)

Representative Feature Learning and Task Decoupling for Few-Shot Object Detection. - Xiaozhong Chen; Binghao Liu; Qixiang Ye (ISCSIC, 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)

Dynamic Support Network for Few-Shot Class Incremental Learning. - Boyu Yang 002; Mingbao Lin; Yunxiao Zhang; Binghao Liu; Xiaodan Liang; Rongrong Ji; Qixiang Ye (IEEE Trans. Pattern Anal. Mach. Intell., 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)

TPH-YOLOv5-Air: Airport Confusing Object Detection via Adaptively Spatial Feature Fusion. - Qiang Wang; Wenquan Feng; Lifan Yao; Chen Zhuang; Binghao Liu; Lijiang Chen (Remote. Sens., 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)

Learnable Distribution Calibration for Few-Shot Class-Incremental Learning. - Binghao Liu; Boyu Yang 002; Lingxi Xie; Ren Wang; Qi Tian 001; Qixiang Ye (IEEE Trans. Pattern Anal. Mach. Intell., 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)

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)

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)

Improving Scarce RS Data Classification With Independent Noise and Feature Mutual Exclusion. - Binghao Liu; Yidi Bai (IEEE Geosci. Remote. Sens. Lett., 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)

Overcomplete-to-sparse representation learning for few-shot class-incremental learning. - Mengying Fu; Binghao Liu; TianRen Ma; Qixiang Ye (Multim. 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)

LDC-PP-YOLOE: a lightweight model for detecting and counting citrus fruit. - Yibo Lv; Shenglian Lu; Xiaoyu Liu; Jiangchuan Bao; Binghao Liu; Ming Chen; Guo Li (Pattern Anal. Appl., 2024)

Prototype antithesis for biological few-shot class-incremental learning. - Binghao Liu; Han Yang; Fang Wan; Fei Gu (ICLR, 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)