| 2025 | AAAI | Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. | Xinyue Chen, Miaojing Shi, Zijian Zhou, Lianghua He, Sophia Tsoka |
| 2025 | AAAI | M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection. | Jiafeng Li, Ying Wen, Lianghua He |
| 2025 | AAAI | AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images. | Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen |
| 2025 | ICCV | 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 |
| 2025 | IJCAI | CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation. | Xinyu Zhu, Xiwen Liu, Lianghua He, Yin Wen |
| 2024 | CVPR | 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 |
| 2024 | CVPR | LEAD: Learning Decomposition for Source-free Universal Domain Adaptation. | Sanqing Qu, Tianpei Zou, Lianghua He, Florian Rhrbein, Alois Knoll, Guang Chen, Changjun Jiang |
| 2024 | ECCV | HGL: Hierarchical Geometry Learning for Test-Time Adaptation in 3D Point Cloud Segmentation. | Tianpei Zou, Sanqing Qu, Zhijun Li, Alois Knoll, Lianghua He, Guang Chen, Changjun Jiang |
| 2024 | SMC | PSAM: Prompt-based Segment Anything Model Adaption for Medical Image Segmentation. | Chengyi Wen, Lianghua He |
| 2024 | SMC | Dual Contrastive Learning with Mutual Correction for Semi-Supervised Medical Image Segmentation. | Jiazhe Zhu, Lianghua He |
| 2023 | CVPR | SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy. | Jiafeng Li, Ying Wen, Lianghua He |
| 2023 | ICANN | Few-Shot Relational Triple Extraction Based on Evaluation of Token-Level Semantic Similarity. | Shuai Jiang, Jiazhe Zhu, Lianghua He |
| 2023 | ICASSP | Mutually Guided Few-Shot Learning For Relational Triple Extraction. | Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He |
| 2023 | SMC | EEG-Based Emotion Analysis Using Person-Event Network. | Liwei Tang, Lianghua He |
| 2023 | UAI | MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. | Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma |
| 2021 | ICCV | 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 |
| 2020 | AAAI | Segmenting Medical MRI via Recurrent Decoding Cell. | Ying Wen, Kai Xie, Lianghua He |
| 2018 | ICASSP | Sparse Low-Rank Component Coding for Face Recognition with Illumination And Corruption. | Shicheng Yang, Ying Wen, Lianghua He |
| 2018 | SMC | Effective Sample Synthesizing in Kernel Space for Imbalanced Classification. | Wenwen Mo, Lianghua He, Yuqin Wang, Jian Lu |
| 2017 | VTC | Channel Estimation for FDD Massive MIMO OFDM Systems. | Die Hu, Lianghua He |
| 2015 | IJCNN | Null space based discriminant sparse representation large margin for face recognition. | Ying Wen, Lili Hou, Lianghua He |
| 2014 | ACCV | Deep Learning in the EEG Diagnosis of Alzheimer's Disease. | Yilu Zhao, Lianghua He |
| 2012 | ICASSP | Discriminative common vectors based on the Gram-Schmidt reorthogonalization for the small sample size problem. | Ying Wen, Lianghua He, Yue Lu |
| 2012 | ISNN | A Co-adaptive Training Paradigm for Motor Imagery Based Brain-Computer Interface. | Bin Xia, Qingmei Zhang, Hong Xie, Shihua Li, Jie Li, Lianghua He |
| 2010 | GLOBECOM | Pilot Design for Channel Estimation in OFDM-Based Cognitive Radio Systems. | Die Hu, Lianghua He |
| 2006 | ICASSP | Estimation of Rapidly Time-Varying Channels for OFDM Systems. | Die Hu, Lianghua He, Luxi Yang |
| 2005 | GLOBECOM | Optimal pilot sequence design for multiple-input multiple-output OFDM systems. | Die Hu, Luxi Yang, Lianghua He, Yuhui Shi |
| 2005 | ISNN | Boosted Independent Features for Face Expression Recognition. | Lianghua He, Jianzhong Zhou, Die Hu, Cairong Zou, Li Zhao |