He, Lianghua

11 publications

AAAI 2025 AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen

IJCAI 2025 CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation Xinyu Zhu, Xiwen Liu, Lianghua He, Yin Wen

ICCV 2025 CoSMIC: Continual Self-Supervised Learning for Multi-Domain Medical Imaging via Conditional Mutual Information Maximization Yihang Liu, Ying Wen, Longzhen Yang, Lianghua He, Heng Tao Shen

AAAI 2025 Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer Xinyue Chen, Miaojing Shi, Zijian Zhou, Lianghua He, Sophia Tsoka

AAAI 2025 M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection Jiafeng Li, Ying Wen, Lianghua He

CVPR 2024 LEAD: Learning Decomposition for Source-Free Universal Domain Adaptation Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang

CVPR 2024 MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection Boyang Peng, Sanqing Qu, Yong Wu, Tianpei Zou, Lianghua He, Alois Knoll, Guang Chen, Changjun Jiang

UAI 2023 MMEL: A Joint Learning Framework for Multi-Mention Entity Linking Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma

CVPR 2023 SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy Jiafeng Li, Ying Wen, Lianghua He

ICCV 2021 Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query Guanyu Cai, Jun Zhang, Xinyang Jiang, Yifei Gong, Lianghua He, Fufu Yu, Pai Peng, Xiaowei Guo, Feiyue Huang, Xing Sun

AAAI 2020 Segmenting Medical MRI via Recurrent Decoding Cell Ying Wen, Kai Xie, Lianghua He