Optimal Shape Space and Searching in ASM Based Face Alignment. - Lianghua He; Stan Z. Li; Jianzhong Zhou; Li Zhao 003; Cairong Zou (SINOBIOMETRICS, 2004)

Optimal pilot sequence design for multiple-input multiple-output OFDM systems. - Die Hu 002; Luxi Yang; Lianghua He; Yuhui Shi 001 (GLOBECOM, 2005)

Boosted Independent Features for Face Expression Recognition. - Lianghua He; Jianzhong Zhou; Die Hu 002; Cairong Zou; Li Zhao 003 (ISNN (2), 2005)

Estimation of Rapidly Time-Varying Channels for OFDM Systems. - Die Hu 002; Lianghua He; Luxi Yang (ICASSP (4), 2006)

Principal Component Net Analysis for Face Recognition. - Lianghua He; Die Hu 002; Changjun Jiang (MICAI, 2006)

Joint pilot tone and channel estimator design for OFDM systems. - Die Hu 002; Lianghua He; Luxi Yang (IEEE Commun. Lett., 2006)

Optimal pilot sequence design for channel estimation in MIMO OFDM systems. - Die Hu 002; Luxi Yang; Yuhui Shi 001; Lianghua He (IEEE Commun. Lett., 2006)

Pilot Design for Channel Estimation in OFDM-Based Cognitive Radio Systems. - Die Hu 002; Lianghua He (GLOBECOM, 2010)

An Improved Locally Linear Embedding for Sparse Data Sets. - Ying Wen 003; Lianghua He (Int. J. Pattern Recognit. Artif. Intell., 2011)

An Efficient Pilot Design Method for OFDM-Based Cognitive Radio Systems. - Die Hu 002; Lianghua He; Xiaodong Wang 001 (IEEE Trans. Wirel. Commun., 2011)

Discriminative common vectors based on the Gram-Schmidt reorthogonalization for the small sample size problem. - Ying Wen 003; Lianghua He; Yue Lu 001 (ICASSP, 2012)

A Co-adaptive Training Paradigm for Motor Imagery Based Brain-Computer Interface. - Bin Xia 004; Qingmei Zhang; Hong Xie 001; Shihua Li; Jie Li 016; Lianghua He (ISNN (1), 2012)

Face recognition using difference vector plus KPCA. - Ying Wen 003; Lianghua He; Pengfei Shi (Digit. Signal Process., 2012)

A classifier for Bangla handwritten numeral recognition. - Ying Wen 003; Lianghua He (Expert Syst. Appl., 2012)

Asynchronous Brain-Computer Interface Based on Steady-State Visual-Evoked Potential. - Bin Xia 004; Xing Li; Hong Xie 001; Wenlu Yang; Jie Li 016; Lianghua He (Cogn. Comput., 2013)

A New Sparse Channel Estimation and Tracking Method for Time-Varying OFDM Systems. - Die Hu 002; Xiaodong Wang 001; Lianghua He (IEEE Trans. Veh. Technol., 2013)

Deep Learning in the EEG Diagnosis of Alzheimer's Disease. - Yilu Zhao; Lianghua He (ACCV Workshops (1), 2014)

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

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

A Deep Learning Method for Classification of EEG Data Based on Motor Imagery. - Xiu An; Deping Kuang; Xiaojiao Guo; Yilu Zhao; Lianghua He (ICIC (3), 2014)

ADHD-200 Classification Based on Social Network Method. - Xiaojiao Guo; Xiu An; Deping Kuang; Yilu Zhao; Lianghua He (ICIC (3), 2014)

Motor Imagery EEG Signals Analysis Based on Bayesian Network with Gaussian Distribution. - Lianghua He; Bin Liu 018 (ICIC (3), 2014)

Discrimination of ADHD Based on fMRI Data with Deep Belief Network. - Deping Kuang; Xiaojiao Guo; Xiu An; Yilu Zhao; Lianghua He (ICIC (3), 2014)

Multi-channel features based automated segmentation of diffusion tensor imaging using an improved FCM with spatial constraints. - Lianghua He; Ying Wen 003; Meng Wan; Shuang Liu (Neurocomputing, 2014)

Null space based discriminant sparse representation large margin for face recognition. - Ying Wen 003; Lili Hou; Lianghua He (IJCNN, 2015)

Face recognition using discriminative locality preserving vectors. - Ying Wen 003; Le Zhang; Karen M. von Deneen; Lianghua He (Digit. Signal Process., 2016)

Motor imagery EEG signals analysis based on Bayesian network with Gaussian distribution. - Lianghua He; Bin Liu 018; Die Hu 002; Ying Wen 003; Meng Wan; Jun Long (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). - Chen Zhang; Jian Yu; Lianghua He (计算机科学, 2016)

Common Bayesian Network for Classification of EEG-Based Multiclass Motor Imagery BCI. - Lianghua He; Die Hu 002; Meng Wan; Ying Wen 003; Karen M. von Deneen; MengChu Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Semi-Blind Pilot Decontamination for Massive MIMO Systems. - Die Hu 002; Lianghua He; Xiaodong Wang 001 (IEEE Trans. Wirel. Commun., 2016)

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

Channel Estimation for FDD Massive MIMO OFDM Systems. - Die Hu 002; Lianghua He (VTC Fall, 2017)

Sparse Low-Rank Component Coding for Face Recognition with Illumination And Corruption. - Shicheng Yang; Ying Wen 003; Lianghua He (ICASSP, 2018)

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

A Novel Forward-Link Multiplexed Scheme in Satellite-Based Internet of Things. - Die Hu 002; Lianghua He; Jun Wu 006 (IEEE Internet Things J., 2018)

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

Orientation Analysis for Chinese News Based on Word Embedding and Syntax Rules. - Pengwei Wang 001; Yujun Luo; Zhen Chen; Lianghua He; Zhaohui Zhang 001 (IEEE Access, 2019)

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

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

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

Sparse Low-Rank Component-Based Representation for Face Recognition With Low-Quality Images. - Shicheng Yang; Le Zhang; Lianghua He; Ying Wen 003 (IEEE Trans. Inf. Forensics Secur., 2019)

Incorporation of Structural Tensor and Driving Force Into Log-Demons for Large-Deformation Image Registration. - Ying Wen 003; Le Zhang; Lianghua He; MengChu Zhou (IEEE Trans. Image Process., 2019)

Secure Transmission in Multi-Cell Multi-User Massive MIMO Systems With an Active Eavesdropper. - Die Hu 002; Wei Zhang 191; Lianghua He; Jun Wu 006 (IEEE Wirel. Commun. Lett., 2019)

Segmenting Medical MRI via Recurrent Decoding Cell. - Ying Wen 003; Kai Xie; Lianghua He (AAAI, 2020)

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

Gabor Feature-Based LogDemons With Inertial Constraint for Nonrigid Image Registration. - Ying Wen 003; Cheng Xu; Yue Lu 001; Qingli Li; Haibin Cai; Lianghua He (IEEE Trans. Image Process., 2020)

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

Low-Complexity Deep-Learning-Based DOA Estimation for Hybrid Massive MIMO Systems With Uniform Circular Arrays. - Die Hu 002; Yonghao Zhang; Lianghua He; Jun Wu 006 (IEEE Wirel. Commun. Lett., 2020)

Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query. - Guanyu Cai; Jun Zhang 018; Xinyang Jiang; Yifei Gong; Lianghua He; Fufu Yu; Pai Peng; Xiaowei Guo; Feiyue Huang; Xing Sun 001 (ICCV, 2021)

Part2Whole: Iteratively Enrich Detail for Cross-Modal Retrieval with Partial Query. - Guanyu Cai; Xinyang Jiang; Jun Zhang 018; Yifei Gong; Lianghua He; Pai Peng; Xiaowei Guo; Xing Sun 001 (CoRR, 2021)

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

Sparse Common Feature Representation for Undersampled Face Recognition. - Shicheng Yang; Ying Wen 003; Lianghua He; MengChu Zhou (IEEE Internet Things J., 2021)

Sparse Individual Low-Rank Component Representation for Face Recognition in the IoT-Based System. - Shicheng Yang; Ying Wen 003; Lianghua He; MengChu Zhou; Abdullah Abusorrah (IEEE Internet Things J., 2021)

Revitalize Region Feature for Democratizing Video-Language Pre-training. - Guanyu Cai; Yixiao Ge; Alex Jinpeng Wang; Rui Yan 001; Xudong Lin 003; Ying Shan; Lianghua He; Xiaohu Qie; Jianping Wu; Mike Zheng Shou (CoRR, 2022)

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

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

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

Deep-Learning-Based Initial Access Method for Millimeter-Wave MIMO Systems. - Meiyu Wang; Die Hu 002; Lianghua He; Jun Wu 006 (IEEE Wirel. Commun. Lett., 2022)

SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy. - Jiafeng Li; Ying Wen 003; Lianghua He (CVPR, 2023)

Few-Shot Relational Triple Extraction Based on Evaluation of Token-Level Semantic Similarity. - Shuai Jiang; Jiazhe Zhu; Lianghua He (ICANN (8), 2023)

Mutually Guided Few-Shot Learning For Relational Triple Extraction. - Chengmei Yang; Shuai Jiang; Bowei He; Chen Ma 001; Lianghua He (ICASSP, 2023)

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

MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. - Chengmei Yang; Bowei He; Yimeng Wu; Chao Xing; Lianghua He; Chen Ma 001 (UAI, 2023)

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

FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations. - Yitao Peng; Lianghua He; Die Hu 002; Yihang Liu; Longzhen Yang; Shaohua Shang (CoRR, 2023)

Learning Smooth Representation for Unsupervised Domain Adaptation. - Guanyu Cai; Lianghua He; Mengchu Zhou; Hesham Alhumade; Die Hu 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A multi-grained unsupervised domain adaptation approach for semantic segmentation. - Luyang Li; Tai Ma; Yue Lu 001; Qingli Li; Lianghua He; Ying Wen 003 (Pattern Recognit., 2023)

Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization. - Yitao Peng; Lianghua He; Die Hu 002 (BIBM, 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 001; Changjun Jiang (CVPR, 2024)

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation. - Sanqing Qu; Tianpei Zou; Lianghua He; Florian Röhrbein; Alois Knoll; Guang Chen 001; Changjun Jiang (CVPR, 2024)

HGL: Hierarchical Geometry Learning for Test-Time Adaptation in 3D Point Cloud Segmentation. - Tianpei Zou; Sanqing Qu; Zhijun Li 001; Alois Knoll; Lianghua He; Guang Chen 001; Changjun Jiang (ECCV (55), 2024)

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

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

IDC-Net: Multi-stage Registration Network Using Intensity Adjustment, Dual-Stream and Cost Volume. - Tai Ma; Xinxin Shan; Xinru Dai; Suwei Zhang; Ying Wen 003; Lianghua He (Biomed. Signal Process. Control., 2024)

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

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

Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. - Yitao Peng; Lianghua He; Die Hu 002; Yihang Liu; Longzhen Yang; Shaohua Shang (IEEE Trans. Multim., 2024)

Explainability of Speech Recognition Transformers via Gradient-Based Attention Visualization. - Tianli Sun; Haonan Chen 003; Guosheng Hu; Lianghua He; Cairong Zhao (IEEE Trans. Multim., 2024)

Decoupling Deep Learning for Enhanced Image Recognition Interpretability. - Yitao Peng; Lianghua He; Die Hu 002; Yihang Liu; Longzhen Yang; Shaohua Shang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. - Xinyue Chen; Miaojing Shi; Zijian Zhou 002; 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 003; Lianghua He (AAAI, 2025)

AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images. - Yihang Liu; Lianghua He; Ying Wen 003; Longzhen Yang; Hongzhou Chen (AAAI, 2025)

Joint Objective and Subjective Fuzziness Denoising for Multimodal Sentiment Analysis. - Xun Jiang 001; Xing Xu 001; Huimin Lu 001; Lianghua He; Heng Tao Shen (IEEE Trans. Fuzzy Syst., 2025)

SFM-Net: Semantic Feature-Based Multi-Stage Network for Unsupervised Image Registration. - Tai Ma; Xinru Dai; Suwei Zhang; Haidong Zou; Lianghua He; Ying Wen 003 (IEEE J. Biomed. Health Informatics, 2025)

Variational Transformer: A Framework Beyond the Tradeoff Between Accuracy and Diversity for Image Captioning. - Longzhen Yang; Lianghua He; Die Hu 002; Yihang Liu; Yitao Peng; Hongzhou Chen; MengChu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2025)

One Prototype Is Enough: Single-Prototype Activation for Interpretable Image Classification. - Yitao Peng; Lianghua He; Die Hu 002 (CoRR, 2025)

FeaInfNet: Diagnosis of Medical Images With Feature-Driven Inference and Visual Explanations. - Yitao Peng; Lianghua He; Die Hu 002; Yihang Liu; Longzhen Yang; Shaohua Shang (IEEE J. Biomed. Health Informatics, 2025)

HSENet: Hierarchical semantic-enriched network for multi-modal image fusion. - Xinyu Liu; Rui Ming; Songlin Du; Lianghua He; Haibo Luo; Guobao Xiao (Pattern Recognit., 2026)