Joint Objective and Subjective Fuzziness Denoising for Multimodal Sentiment Analysis. - Jiang, Xun; Xu, Xing; Lu, Huimin; He, Lianghua; Shen, Heng Tao (IEEE Trans. Fuzzy Syst., 2025)

IDC-Net: Multi-stage Registration Network Using Intensity Adjustment, Dual-Stream and Cost Volume. - Ma, Tai; Shan, Xinxin; Dai, Xinru; Zhang, Suwei; Wen, Ying; He, Lianghua (Biomed. Signal Process. Control., 2024)

Explainability of Speech Recognition Transformers via Gradient-Based Attention Visualization. - Sun, Tianli; Chen, Haonan; Hu, Guosheng; He, Lianghua; Zhao, Cairong (IEEE Trans. Multim., 2024)

Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. - Peng, Yitao; He, Lianghua; Hu, Die; Liu, Yihang; Yang, Longzhen; Shang, Shaohua (IEEE Trans. Multim., 2024)

Decoupling Deep Learning for Enhanced Image Recognition Interpretability. - Peng, Yitao; He, Lianghua; Hu, Die; Liu, Yihang; Yang, Longzhen; Shang, Shaohua (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization. - Peng, Yitao; He, Lianghua; Hu, Die (2024)

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation. - Qu, Sanqing; Zou, Tianpei; He, Lianghua; Röhrbein, Florian; Knoll, Alois; Chen, Guang; Jiang, Changjun (2024)

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

HGL: Hierarchical Geometry Learning for Test-Time Adaptation in 3D Point Cloud Segmentation. - Zou, Tianpei; Qu, Sanqing; Li, Zhijun; Knoll, Alois; He, Lianghua; Chen, Guang; Jiang, Changjun (2024)

Dual Contrastive Learning with Mutual Correction for Semi-Supervised Medical Image Segmentation. - Zhu, Jiazhe; He, Lianghua (2024)

PSAM: Prompt-based Segment Anything Model Adaption for Medical Image Segmentation. - Wen, Chengyi; He, Lianghua (2024)

AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image. - Amirkolaee, Hamed Amini; Shi, Miaojing; He, Lianghua; Mulligan, Mark (CoRR, 2024)

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation. - Qu, Sanqing; Zou, Tianpei; He, Lianghua; Röhrbein, Florian; Knoll, Alois; Chen, Guang; Jiang, Changjun (CoRR, 2024)

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

Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization. - Peng, Yitao; He, Lianghua; Hu, Die (CoRR, 2024)

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation. - Zou, Tianpei; Qu, Sanqing; Li, Zhijun; Knoll, Alois; He, Lianghua; Chen, Guang; Jiang, Changjun (CoRR, 2024)

Visual Neural Decoding via Improved Visual-EEG Semantic Consistency. - Chen, Hongzhou; He, Lianghua; Liu, Yihang; Yang, Longzhen (CoRR, 2024)

Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. - Chen, Xinyue; Shi, Miaojing; Zhou, Zijian; He, Lianghua; Tsoka, Sophia (CoRR, 2024)

A multi-grained unsupervised domain adaptation approach for semantic segmentation. - Li, Luyang; Ma, Tai; Lu, Yue; Li, Qingli; He, Lianghua; Wen, Ying (Pattern Recognit., 2023)

Learning Smooth Representation for Unsupervised Domain Adaptation. - Cai, Guanyu; He, Lianghua; Zhou, Mengchu; Alhumade, Hesham; Hu, Die (IEEE Trans. Neural Networks Learn. Syst., 2023)

SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy. - Li, Jiafeng; Wen, Ying; He, Lianghua (2023)

Few-Shot Relational Triple Extraction Based on Evaluation of Token-Level Semantic Similarity. - Jiang, Shuai; Zhu, Jiazhe; He, Lianghua (2023)

Mutually Guided Few-Shot Learning For Relational Triple Extraction. - Yang, Chengmei; Jiang, Shuai; He, Bowei; Ma, Chen; He, Lianghua (2023)

EEG-Based Emotion Analysis Using Person-Event Network. - Tang, Liwei; He, Lianghua (2023)

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

Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. - Peng, Yitao; Yang, Longzhen; Liu, Yihang; He, Lianghua (CoRR, 2023)

Mutually Guided Few-shot Learning for Relational Triple Extraction. - Yang, Chengmei; Jiang, Shuai; He, Bowei; Ma, Chen; He, Lianghua (CoRR, 2023)

FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations. - Peng, Yitao; He, Lianghua; Hu, Die; Liu, Yihang; Yang, Longzhen; Shang, Shaohua (CoRR, 2023)

Deep-Learning-Based Initial Access Method for Millimeter-Wave MIMO Systems. - Wang, Meiyu; Hu, Die; He, Lianghua; Wu, Jun (IEEE Wirel. Commun. Lett., 2022)

Revitalize Region Feature for Democratizing Video-Language Pre-training. - Cai, Guanyu; Ge, Yixiao; Wang, Alex Jinpeng; Yan, Rui; Lin, Xudong; Shan, Ying; He, Lianghua; Qie, Xiaohu; Wu, Jianping; Shou, Mike Zheng (CoRR, 2022)

Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning. - Yang, Longzhen; Shang, Shaohua; Liu, Yihang; Peng, Yitao; He, Lianghua (CoRR, 2022)

MDM: Visual Explanations for Neural Networks via Multiple Dynamic Mask. - Peng, Yitao; Yang, Longzhen; Liu, Yihang; He, Lianghua (CoRR, 2022)

DProtoNet: Decoupling Prototype Activation via Multiple Dynamic Masks. - Peng, Yitao; Liu, Yihang; Yang, Longzhen; He, Lianghua (CoRR, 2022)

Sparse Common Feature Representation for Undersampled Face Recognition. - Yang, Shicheng; Wen, Ying; He, Lianghua; Zhou, MengChu (IEEE Internet Things J., 2021)

Sparse Individual Low-Rank Component Representation for Face Recognition in the IoT-Based System. - Yang, Shicheng; Wen, Ying; He, Lianghua; Zhou, MengChu; Abusorrah, Abdullah (IEEE Internet Things J., 2021)

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

Part2Whole: Iteratively Enrich Detail for Cross-Modal Retrieval with Partial Query. - Cai, Guanyu; Jiang, Xinyang; Zhang, Jun; Gong, Yifei; He, Lianghua; Peng, Pai; Guo, Xiaowei; Sun, Xing (CoRR, 2021)

Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint. - Cai, Guanyu; He, Lianghua (CoRR, 2021)

Gabor Feature-Based LogDemons With Inertial Constraint for Nonrigid Image Registration. - Wen, Ying; Xu, Cheng; Lu, Yue; Li, Qingli; Cai, Haibin; He, Lianghua (IEEE Trans. Image Process., 2020)

Unsupervised Domain Adaptation With Adversarial Residual Transform Networks. - Cai, Guanyu; Wang, Yuqin; He, Lianghua; Zhou, MengChu (IEEE Trans. Neural Networks Learn. Syst., 2020)

Low-Complexity Deep-Learning-Based DOA Estimation for Hybrid Massive MIMO Systems With Uniform Circular Arrays. - Hu, Die; Zhang, Yonghao; He, Lianghua; Wu, Jun (IEEE Wirel. Commun. Lett., 2020)

Segmenting Medical MRI via Recurrent Decoding Cell. - Wen, Ying; Xie, Kai; He, Lianghua (2020)

Adversarial Transform Networks for Unsupervised Transfer Learning. - Cai, Guanyu; Wang, Yuqin; He, Lianghua; Zhou, Mengchu (2020)

Orientation Analysis for Chinese News Based on Word Embedding and Syntax Rules. - Wang, Pengwei; Luo, Yujun; Chen, Zhen; He, Lianghua; Zhang, Zhaohui (IEEE Access, 2019)

Sparse Low-Rank Component-Based Representation for Face Recognition With Low-Quality Images. - Yang, Shicheng; Zhang, Le; He, Lianghua; Wen, Ying (IEEE Trans. Inf. Forensics Secur., 2019)

Incorporation of Structural Tensor and Driving Force Into Log-Demons for Large-Deformation Image Registration. - Wen, Ying; Zhang, Le; He, Lianghua; Zhou, MengChu (IEEE Trans. Image Process., 2019)

Secure Transmission in Multi-Cell Multi-User Massive MIMO Systems With an Active Eavesdropper. - Hu, Die; Zhang, Wei; He, Lianghua; Wu, Jun (IEEE Wirel. Commun. Lett., 2019)

Convolutional Neural Network for Resting State EEG Signal Analysis. - Liu, Hongyu; He, Lianghua; Shang, Shaohua; Lu, Jian; Wan, Meng; Liu, Shuang (2019)

Virtual Conditional Generative Adversarial Networks. - Shi, Haifeng; Cai, Guanyu; Wang, Yuqin; Shang, Shaohua; He, Lianghua (CoRR, 2019)

Learning Smooth Representation for Unsupervised Domain Adaptation. - Cai, Guanyu; Wang, Yuqin; He, Lianghua (CoRR, 2019)

Adaptive Routing Between Capsules. - Ren, Qiang; Shang, Shaohua; He, Lianghua (CoRR, 2019)

Segmenting Medical MRI via Recurrent Decoding Cell. - Wen, Ying; Xie, Kai; He, Lianghua (CoRR, 2019)

A Novel Forward-Link Multiplexed Scheme in Satellite-Based Internet of Things. - Hu, Die; He, Lianghua; Wu, Jun (IEEE Internet Things J., 2018)

Sparse Low-Rank Component Coding for Face Recognition with Illumination And Corruption. - Yang, Shicheng; Wen, Ying; He, Lianghua (2018)

Effective Sample Synthesizing in Kernel Space for Imbalanced Classification. - Mo, Wenwen; He, Lianghua; Wang, Yuqin; Lu, Jian (2018)

Unsupervised Domain Adaptation with Adversarial Residual Transform Networks. - Cai, Guanyu; Wang, Yuqin; Zhou, Mengchu; He, Lianghua (CoRR, 2018)

General-to-Specialized Analysis Based on Deep Belief Network. - Hu, Renjie; He, Lianghua; Wang, Yuqin; D, Hu (2017)

Channel Estimation for FDD Massive MIMO OFDM Systems. - Hu, Die; He, Lianghua (2017)

Face recognition using discriminative locality preserving vectors. - Wen, Ying; Zhang, Le; Deneen, Karen M. von; He, Lianghua (Digit. Signal Process., 2016)

Motor imagery EEG signals analysis based on Bayesian network with Gaussian distribution. - He, Lianghua; Liu, Bin; Hu, Die; Wen, Ying; Wan, Meng; Long, Jun (Neurocomputing, 2016)

基于Q学习和动态权重的改进的区域交通信号控制方法 (Promoted Traffic Control Strategy Based on Q Learning and Dynamic Weight). - Zhang, Chen; Yu, Jian; He, Lianghua (计算机科学, 2016)

Common Bayesian Network for Classification of EEG-Based Multiclass Motor Imagery BCI. - He, Lianghua; Hu, Die; Wan, Meng; Wen, Ying; Deneen, Karen M. von; Zhou, MengChu (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Semi-Blind Pilot Decontamination for Massive MIMO Systems. - Hu, Die; He, Lianghua; Wang, Xiaodong (IEEE Trans. Wirel. Commun., 2016)

Null space based discriminant sparse representation large margin for face recognition. - Wen, Ying; Hou, Lili; He, Lianghua (2015)

Multi-channel features based automated segmentation of diffusion tensor imaging using an improved FCM with spatial constraints. - He, Lianghua; Wen, Ying; Wan, Meng; Liu, Shuang (Neurocomputing, 2014)

Deep Learning in the EEG Diagnosis of Alzheimer's Disease. - Zhao, Yilu; He, Lianghua (2014)

Classification on ADHD with Deep Learning. - Kuang, Deping; He, Lianghua (2014)

ADHD Discrimination Based on Social Network. - Guo, Xiaojiao; He, Lianghua (2014)

A Deep Learning Method for Classification of EEG Data Based on Motor Imagery. - An, Xiu; Kuang, Deping; Guo, Xiaojiao; Zhao, Yilu; He, Lianghua (2014)

Discrimination of ADHD Based on fMRI Data with Deep Belief Network. - Kuang, Deping; Guo, Xiaojiao; An, Xiu; Zhao, Yilu; He, Lianghua (2014)

ADHD-200 Classification Based on Social Network Method. - Guo, Xiaojiao; An, Xiu; Kuang, Deping; Zhao, Yilu; He, Lianghua (2014)

Motor Imagery EEG Signals Analysis Based on Bayesian Network with Gaussian Distribution. - He, Lianghua; Liu, Bin (2014)

Asynchronous Brain-Computer Interface Based on Steady-State Visual-Evoked Potential. - Xia, Bin; Li, Xing; Xie, Hong; Yang, Wenlu; Li, Jie; He, Lianghua (Cogn. Comput., 2013)

A New Sparse Channel Estimation and Tracking Method for Time-Varying OFDM Systems. - Hu, Die; Wang, Xiaodong; He, Lianghua (IEEE Trans. Veh. Technol., 2013)

Face recognition using difference vector plus KPCA. - Wen, Ying; He, Lianghua; Shi, Pengfei (Digit. Signal Process., 2012)

A classifier for Bangla handwritten numeral recognition. - Wen, Ying; He, Lianghua (Expert Syst. Appl., 2012)

Discriminative common vectors based on the Gram-Schmidt reorthogonalization for the small sample size problem. - Wen, Ying; He, Lianghua; Lu, Yue (2012)

A Co-adaptive Training Paradigm for Motor Imagery Based Brain-Computer Interface. - Xia, Bin; Zhang, Qingmei; Xie, Hong; Li, Shihua; Li, Jie; He, Lianghua (2012)

An Improved Locally Linear Embedding for Sparse Data Sets. - Wen, Ying; He, Lianghua (Int. J. Pattern Recognit. Artif. Intell., 2011)

An Efficient Pilot Design Method for OFDM-Based Cognitive Radio Systems. - Hu, Die; He, Lianghua; Wang, Xiaodong (IEEE Trans. Wirel. Commun., 2011)

Pilot Design for Channel Estimation in OFDM-Based Cognitive Radio Systems. - Hu, Die; He, Lianghua (2010)

Optimal pilot sequence design for channel estimation in MIMO OFDM systems. - Hu, Die; Yang, Luxi; Shi, Yuhui; He, Lianghua (IEEE Commun. Lett., 2006)

Joint pilot tone and channel estimator design for OFDM systems. - Hu, Die; He, Lianghua; Yang, Luxi (IEEE Commun. Lett., 2006)

Estimation of Rapidly Time-Varying Channels for OFDM Systems. - Hu, Die; He, Lianghua; Yang, Luxi (2006)

Principal Component Net Analysis for Face Recognition. - He, Lianghua; Hu, Die; Jiang, Changjun (2006)

Optimal pilot sequence design for multiple-input multiple-output OFDM systems. - Hu, Die; Yang, Luxi; He, Lianghua; Shi, Yuhui (2005)

Boosted Independent Features for Face Expression Recognition. - He, Lianghua; Zhou, Jianzhong; Hu, Die; Zou, Cairong; Zhao, Li (2005)

Optimal Shape Space and Searching in ASM Based Face Alignment. - He, Lianghua; Li, Stan Z.; Zhou, Jianzhong; Zhao, Li; Zou, Cairong (2004)