Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks. - Fusheng Hao; Jun Cheng 002; Lei Wang 111; Xinchao Wang; Jianzhong Cao; Xiping Hu; Dapeng Tao (CoRR, 2018)

Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning. - Fusheng Hao; Fengxiang He; Jun Cheng 002; Lei Wang 018; Jianzhong Cao; Dacheng Tao (ICCV, 2019)

Instance-Level Embedding Adaptation for Few-Shot Learning. - Fusheng Hao; Jun Cheng 002; Lei Wang 018; Jianzhong Cao (IEEE Access, 2019)

Embedded adaptive cross-modulation neural network for few-shot learning. - Peng Wang; Jun Cheng 002; Fusheng Hao; Lei Wang; Wei Feng 009 (Neural Comput. Appl., 2020)

VGG-CAE: Unsupervised Visual Place Recognition Using VGG16-Based Convolutional Autoencoder. - Zhenyu Xu; Qieshi Zhang; Fusheng Hao; Ziliang Ren; Yuhang Kang; Jun Cheng 002 (PRCV (2), 2021)

Complementary Multi-Branch CNNs Towards Real-World 3D Point Classification. - Zifeng Tang; Fusheng Hao; Qieshi Zhang; Jun Cheng 002; Jin Zhang 013; Shuai Yuan (RCAR, 2021)

Segment spatial-temporal representation and cooperative learning of convolution neural networks for multimodal-based action recognition. - Ziliang Ren; Qieshi Zhang; Jun Cheng 002; Fusheng Hao; Xiangyang Gao (Neurocomputing, 2021)

Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer. - Fuxiang Wu; Liu Liu 014; Fusheng Hao; Fengxiang He; Jun Cheng 002 (CVPR, 2022)

Structure-Preserving View-Invariant Skeleton Representation for Action Detection. - Hushan Qin; Jun Cheng 002; Chengqun Song; Fusheng Hao; Qin Cheng (ICPR, 2022)

Cross-Modality Compensation Convolutional Neural Networks for RGB-D Action Recognition. - Jun Cheng 002; Ziliang Ren; Qieshi Zhang; Xiangyang Gao; Fusheng Hao (IEEE Trans. Circuits Syst. Video Technol., 2022)

Global-Local Interplay in Semantic Alignment for Few-Shot Learning. - Fusheng Hao; Fengxiang He; Jun Cheng 002; Dacheng Tao (IEEE Trans. Circuits Syst. Video Technol., 2022)

Imposing Semantic Consistency of Local Descriptors for Few-Shot Learning. - Jun Cheng 002; Fusheng Hao; Liu Liu 014; Dacheng Tao (IEEE Trans. Image Process., 2022)

Reject Decoding via Language-Vision Models for Text-to-Image Synthesis. - Fuxiang Wu; Liu Liu 014; Fusheng Hao; Fengxiang He; Lei Wang 018; Jun Cheng 002 (AAAI, 2023)

Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. - Fusheng Hao; Fengxiang He; Liu Liu 014; Fuxiang Wu; Dacheng Tao; Jun Cheng 002 (ICCV, 2023)

Human-imperceptible, Machine-recognizable Images. - Fusheng Hao; Fengxiang He; Yikai Wang 001; Fuxiang Wu; Jing Zhang 037; Jun Cheng 002; Dacheng Tao (CoRR, 2023)

Mixer-Based Semantic Spread for Few-Shot Learning. - Jun Cheng 002; Fusheng Hao; Fengxiang He; Liu Liu 014; Qieshi Zhang (IEEE Trans. Multim., 2023)

Language-Based Image Manipulation Built on Language-Guided Ranking. - Fuxiang Wu; Liu Liu 014; Fusheng Hao; Fengxiang He; Jun Cheng 002 (IEEE Trans. Multim., 2023)

Semantic-Aware Feature Aggregation for Few-Shot Image Classification. - Fusheng Hao; Fuxiang Wu; Fengxiang He; Qieshi Zhang; Chengqun Song; Jun Cheng 002 (Neural Process. Lett., 2023)

Prototype expansion and feature calibration for few-shot point cloud semantic segmentation. - Qieshi Zhang; Tichao Wang; Fusheng Hao; Fuxiang Wu; Jun Cheng 002 (Neurocomputing, 2023)

Distilled representation using patch-based local-to-global similarity strategy for visual place recognition. - Qieshi Zhang; Zhenyu Xu; Yuhang Kang; Fusheng Hao; Ziliang Ren; Jun Cheng 002 (Knowl. Based Syst., 2023)

Fast label prediction based on shrunk anchor graph for semi-supervised incomplete multiview classification. - Guosheng Cui; Fusheng Hao; Dan Wu; Ye Li (ICME, 2024)

Two-stage feature distribution rectification for few-shot point cloud semantic segmentation. - Tichao Wang; Fusheng Hao; Guosheng Cui; Fuxiang Wu; Mengjie Yang; Qieshi Zhang; Jun Cheng 002 (Pattern Recognit. Lett., 2024)

Task-Aware Clustering for Prompting Vision-Language Models. - Fusheng Hao; Fengxiang He; Fuxiang Wu; Tichao Wang; Chengqun Song; Jun Cheng 002 (CVPR, 2025)

Progressive background-foreground difference enhancement for few-shot 3D point cloud semantic segmentation. - Tichao Wang; Fusheng Hao; Qieshi Zhang; Jun Cheng 002 (Image Vis. Comput., 2025)

Textual Embeddings are Good Class-Aware Visual Prompts for Adapting Vision-Language Models. - Fusheng Hao; Liu Liu 014; Fuxiang Wu; Qieshi Zhang; Jun Cheng 002 (IEEE Signal Process. Lett., 2025)

Class-Irrelevant Feature Removal for Few-Shot Image Classification. - Fusheng Hao; Liu Liu 014; Fuxiang Wu; Qieshi Zhang; Jun Cheng 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Gradient-based Fine-Tuning through Pre-trained Model Regularization. - Xuanbo Liu; Liu Liu 014; Fuxiang Wu; Fusheng Hao; Xianglong Liu 001 (CoRR, 2025)