Lianghua He

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 53

Top Topics

Face Recognition

Semantic Segmentation

Top Venues

IEEE Wirel. Commun. Lett.

IEEE Internet Things J.

Publications

Hamed Amini Amirkolaee, Miaojing Shi, Lianghua He, Mark Mulligan
AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image. CoRR (2024)
Tianli Sun, Haonan Chen, Guosheng Hu, Lianghua He, Cairong Zhao
Explainability of Speech Recognition Transformers via Gradient-Based Attention Visualization. IEEE Trans. Multim. 26 (2024)
Yitao Peng, Lianghua He, Die Hu
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization. CoRR (2024)
Boyang Peng, Sanqing Qu, Yong Wu, Tianpei Zou, Lianghua He, Alois Knoll, Guang Chen, Changjun Jiang
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection. CoRR (2024)
Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation. CoRR (2024)
Tianpei Zou, Sanqing Qu, Zhijun Li, Alois Knoll, Lianghua He, Guang Chen, Changjun Jiang
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation. CoRR (2024)
Tai Ma, Xinxin Shan, Xinru Dai, Suwei Zhang, Ying Wen, Lianghua He
IDC-Net: Multi-stage Registration Network Using Intensity Adjustment, Dual-Stream and Cost Volume. Biomed. Signal Process. Control. 97 (2024)
Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang
Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. IEEE Trans. Multim. 26 (2024)
Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He
Mutually Guided Few-shot Learning for Relational Triple Extraction. CoRR (2023)
Luyang Li, Tai Ma, Yue Lu, Qingli Li, Lianghua He, Ying Wen
A multi-grained unsupervised domain adaptation approach for semantic segmentation. Pattern Recognit. 144 (2023)
Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He
Mutually Guided Few-Shot Learning For Relational Triple Extraction. ICASSP (2023)
Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He
Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. CoRR (2023)
Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma
MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. UAI (2023)
Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang
FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations. CoRR (2023)
Guanyu Cai, Lianghua He, Mengchu Zhou, Hesham Alhumade, Die Hu
Learning Smooth Representation for Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Shuai Jiang, Jiazhe Zhu, Lianghua He
Few-Shot Relational Triple Extraction Based on Evaluation of Token-Level Semantic Similarity. ICANN (8) (2023)
Jiafeng Li, Ying Wen, Lianghua He
SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy. CVPR (2023)
Liwei Tang, Lianghua He
EEG-Based Emotion Analysis Using Person-Event Network. SMC (2023)
Longzhen Yang, Shaohua Shang, Yihang Liu, Yitao Peng, Lianghua He
Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning. CoRR (2022)
Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He
MDM: Visual Explanations for Neural Networks via Multiple Dynamic Mask. CoRR (2022)
Yitao Peng, Yihang Liu, Longzhen Yang, Lianghua He
DProtoNet: Decoupling Prototype Activation via Multiple Dynamic Masks. CoRR (2022)
Meiyu Wang, Die Hu, Lianghua He, Jun Wu
Deep-Learning-Based Initial Access Method for Millimeter-Wave MIMO Systems. IEEE Wirel. Commun. Lett. 11 (5) (2022)
Guanyu Cai, Yixiao Ge, Alex Jinpeng Wang, Rui Yan, Xudong Lin, Ying Shan, Lianghua He, Xiaohu Qie, Jianping Wu, Mike Zheng Shou
Revitalize Region Feature for Democratizing Video-Language Pre-training. CoRR (2022)
Guanyu Cai, Jun Zhang, Xinyang Jiang, Yifei Gong, Lianghua He, Fufu Yu, Pai Peng, Xiaowei Guo, Feiyue Huang, Xing Sun
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query. ICCV (2021)
Shicheng Yang, Ying Wen, Lianghua He, MengChu Zhou, Abdullah Abusorrah
Sparse Individual Low-Rank Component Representation for Face Recognition in the IoT-Based System. IEEE Internet Things J. 8 (24) (2021)
Shicheng Yang, Ying Wen, Lianghua He, MengChu Zhou
Sparse Common Feature Representation for Undersampled Face Recognition. IEEE Internet Things J. 8 (7) (2021)
Guanyu Cai, Lianghua He
Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint. CoRR (2021)
Guanyu Cai, Xinyang Jiang, Jun Zhang, Yifei Gong, Lianghua He, Pai Peng, Xiaowei Guo, Xing Sun
Part2Whole: Iteratively Enrich Detail for Cross-Modal Retrieval with Partial Query. CoRR (2021)
Ying Wen, Cheng Xu, Yue Lu, Qingli Li, Haibin Cai, Lianghua He
Gabor Feature-Based LogDemons With Inertial Constraint for Nonrigid Image Registration. IEEE Trans. Image Process. 29 (2020)
Ying Wen, Kai Xie, Lianghua He
Segmenting Medical MRI via Recurrent Decoding Cell. AAAI (2020)
Die Hu, Yonghao Zhang, Lianghua He, Jun Wu
Low-Complexity Deep-Learning-Based DOA Estimation for Hybrid Massive MIMO Systems With Uniform Circular Arrays. IEEE Wirel. Commun. Lett. 9 (1) (2020)
Guanyu Cai, Yuqin Wang, Lianghua He, Mengchu Zhou
Adversarial Transform Networks for Unsupervised Transfer Learning. ICNSC (2020)
Guanyu Cai, Yuqin Wang, Lianghua He, MengChu Zhou
Unsupervised Domain Adaptation With Adversarial Residual Transform Networks. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Qiang Ren, Shaohua Shang, Lianghua He
Adaptive Routing Between Capsules. CoRR (2019)
Shicheng Yang, Le Zhang, Lianghua He, Ying Wen
Sparse Low-Rank Component-Based Representation for Face Recognition With Low-Quality Images. IEEE Trans. Inf. Forensics Secur. 14 (1) (2019)
Haifeng Shi, Guanyu Cai, Yuqin Wang, Shaohua Shang, Lianghua He
Virtual Conditional Generative Adversarial Networks. CoRR (2019)
Hongyu Liu, Lianghua He, Shaohua Shang, Jian Lu, Meng Wan, Shuang Liu
Convolutional Neural Network for Resting State EEG Signal Analysis. ICNSC (2019)
Guanyu Cai, Yuqin Wang, Lianghua He
Learning Smooth Representation for Unsupervised Domain Adaptation. CoRR (2019)
Pengwei Wang, Yujun Luo, Zhen Chen, Lianghua He, Zhaohui Zhang
Orientation Analysis for Chinese News Based on Word Embedding and Syntax Rules. IEEE Access 7 (2019)
Die Hu, Wei Zhang, Lianghua He, Jun Wu
Secure Transmission in Multi-Cell Multi-User Massive MIMO Systems With an Active Eavesdropper. IEEE Wirel. Commun. Lett. 8 (1) (2019)
Ying Wen, Kai Xie, Lianghua He
Segmenting Medical MRI via Recurrent Decoding Cell. CoRR (2019)
Ying Wen, Le Zhang, Lianghua He, MengChu Zhou
Incorporation of Structural Tensor and Driving Force Into Log-Demons for Large-Deformation Image Registration. IEEE Trans. Image Process. 28 (12) (2019)
Shicheng Yang, Ying Wen, Lianghua He
Sparse Low-Rank Component Coding for Face Recognition with Illumination And Corruption. ICASSP (2018)
Wenwen Mo, Lianghua He, Yuqin Wang, Jian Lu
Effective Sample Synthesizing in Kernel Space for Imbalanced Classification. SMC (2018)
Die Hu, Lianghua He, Jun Wu
A Novel Forward-Link Multiplexed Scheme in Satellite-Based Internet of Things. IEEE Internet Things J. 5 (2) (2018)
Guanyu Cai, Yuqin Wang, Mengchu Zhou, Lianghua He
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks. CoRR (2018)
Die Hu, Lianghua He
Channel Estimation for FDD Massive MIMO OFDM Systems. VTC Fall (2017)
Renjie Hu, Lianghua He, Yuqin Wang, Hu D
General-to-Specialized Analysis Based on Deep Belief Network. ACPR (2017)
Lianghua He, Die Hu, Meng Wan, Ying Wen, Karen M. von Deneen, MengChu Zhou
Common Bayesian Network for Classification of EEG-Based Multiclass Motor Imagery BCI. IEEE Trans. Syst. Man Cybern. Syst. 46 (6) (2016)
Lianghua He, Bin Liu, Die Hu, Ying Wen, Meng Wan, Jun Long
Motor imagery EEG signals analysis based on Bayesian network with Gaussian distribution. Neurocomputing 188 (2016)
Die Hu, Lianghua He, Xiaodong Wang
Semi-Blind Pilot Decontamination for Massive MIMO Systems. IEEE Trans. Wirel. Commun. 15 (1) (2016)
Ying Wen, Le Zhang, Karen M. von Deneen, Lianghua He
Face recognition using discriminative locality preserving vectors. Digit. Signal Process. 50 (2016)
Chen Zhang, Jian Yu, Lianghua He
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). 计算机科学 43 (8) (2016)
Ying Wen, Lili Hou, Lianghua He
Null space based discriminant sparse representation large margin for face recognition. IJCNN (2015)
Lianghua He, Ying Wen, Meng Wan, Shuang Liu
Multi-channel features based automated segmentation of diffusion tensor imaging using an improved FCM with spatial constraints. Neurocomputing 137 (2014)
Deping Kuang, Xiaojiao Guo, Xiu An, Yilu Zhao, Lianghua He
Discrimination of ADHD Based on fMRI Data with Deep Belief Network. ICIC (3) (2014)
Xiu An, Deping Kuang, Xiaojiao Guo, Yilu Zhao, Lianghua He
A Deep Learning Method for Classification of EEG Data Based on Motor Imagery. ICIC (3) (2014)
Lianghua He, Bin Liu
Motor Imagery EEG Signals Analysis Based on Bayesian Network with Gaussian Distribution. ICIC (3) (2014)
Xiaojiao Guo, Lianghua He
ADHD Discrimination Based on Social Network. CCBD (2014)
Deping Kuang, Lianghua He
Classification on ADHD with Deep Learning. CCBD (2014)
Xiaojiao Guo, Xiu An, Deping Kuang, Yilu Zhao, Lianghua He
ADHD-200 Classification Based on Social Network Method. ICIC (3) (2014)
Yilu Zhao, Lianghua He
Deep Learning in the EEG Diagnosis of Alzheimer's Disease. ACCV Workshops (1) (2014)
Bin Xia, Xing Li, Hong Xie, Wenlu Yang, Jie Li, Lianghua He
Asynchronous Brain-Computer Interface Based on Steady-State Visual-Evoked Potential. Cogn. Comput. 5 (2) (2013)
Die Hu, Xiaodong Wang, Lianghua He
A New Sparse Channel Estimation and Tracking Method for Time-Varying OFDM Systems. IEEE Trans. Veh. Technol. 62 (9) (2013)
Ying Wen, Lianghua He, Yue Lu
Discriminative common vectors based on the Gram-Schmidt reorthogonalization for the small sample size problem. ICASSP (2012)
Ying Wen, Lianghua He
A classifier for Bangla handwritten numeral recognition. Expert Syst. Appl. 39 (1) (2012)
Bin Xia, Qingmei Zhang, Hong Xie, Shihua Li, Jie Li, Lianghua He
A Co-adaptive Training Paradigm for Motor Imagery Based Brain-Computer Interface. ISNN (1) (2012)
Ying Wen, Lianghua He, Pengfei Shi
Face recognition using difference vector plus KPCA. Digit. Signal Process. 22 (1) (2012)
Die Hu, Lianghua He, Xiaodong Wang
An Efficient Pilot Design Method for OFDM-Based Cognitive Radio Systems. IEEE Trans. Wirel. Commun. 10 (4) (2011)
Ying Wen, Lianghua He
An Improved Locally Linear Embedding for Sparse Data Sets. Int. J. Pattern Recognit. Artif. Intell. 25 (5) (2011)
Die Hu, Lianghua He
Pilot Design for Channel Estimation in OFDM-Based Cognitive Radio Systems. GLOBECOM (2010)
Lianghua He, Die Hu, Changjun Jiang
Principal Component Net Analysis for Face Recognition. MICAI (2006)
Die Hu, Lianghua He, Luxi Yang
Estimation of Rapidly Time-Varying Channels for OFDM Systems. ICASSP (4) (2006)
Die Hu, Luxi Yang, Yuhui Shi, Lianghua He
Optimal pilot sequence design for channel estimation in MIMO OFDM systems. IEEE Commun. Lett. 10 (1) (2006)
Die Hu, Lianghua He, Luxi Yang
Joint pilot tone and channel estimator design for OFDM systems. IEEE Commun. Lett. 10 (10) (2006)
Die Hu, Luxi Yang, Lianghua He, Yuhui Shi
Optimal pilot sequence design for multiple-input multiple-output OFDM systems. GLOBECOM (2005)
Lianghua He, Jianzhong Zhou, Die Hu, Cairong Zou, Li Zhao
Boosted Independent Features for Face Expression Recognition. ISNN (2) (2005)
Lianghua He, Stan Z. Li, Jianzhong Zhou, Li Zhao, Cairong Zou
Optimal Shape Space and Searching in ASM Based Face Alignment. SINOBIOMETRICS (2004)