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Journal Articles
- 2024
[j30]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: 106725 (2024)- [j29]Tianli Sun, Haonan Chen, Guosheng Hu, Lianghua He, Cairong Zhao:
Explainability of Speech Recognition Transformers via Gradient-Based Attention Visualization. IEEE Trans. Multim. 26: 1395-1406 (2024) - [j28]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: 5311-5325 (2024) - 2023
- [j27]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: 109841 (2023) - [j26]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): 4181-4195 (2023) - 2022
- [j25]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): 1067-1071 (2022) - 2021
- [j24]Shicheng Yang, Ying Wen, Lianghua He, MengChu Zhou:
Sparse Common Feature Representation for Undersampled Face Recognition. IEEE Internet Things J. 8(7): 5607-5618 (2021) - [j23]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): 17320-17332 (2021) - 2020
- [j22]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: 8238-8250 (2020) - [j21]Guanyu Cai, Yuqin Wang, Lianghua He, MengChu Zhou:
Unsupervised Domain Adaptation With Adversarial Residual Transform Networks. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3073-3086 (2020) - [j20]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): 83-86 (2020) - 2019
- [j19]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: 159888-159898 (2019) - [j18]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): 251-261 (2019) - [j17]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): 6091-6102 (2019) - [j16]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): 85-88 (2019) - 2018
- [j15]Die Hu, Lianghua He, Jun Wu:
A Novel Forward-Link Multiplexed Scheme in Satellite-Based Internet of Things. IEEE Internet Things J. 5(2): 1265-1274 (2018) - 2016
- [j14]Ying Wen, Le Zhang, Karen M. von Deneen, Lianghua He:
Face recognition using discriminative locality preserving vectors. Digit. Signal Process. 50: 103-113 (2016) - [j13]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: 217-224 (2016) - [j12]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): 171-176 (2016) - [j11]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): 843-854 (2016) - [j10]Die Hu, Lianghua He, Xiaodong Wang:
Semi-Blind Pilot Decontamination for Massive MIMO Systems. IEEE Trans. Wirel. Commun. 15(1): 525-536 (2016) - 2014
- [j9]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: 107-114 (2014) - 2013
- [j8]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): 243-251 (2013) - [j7]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): 4648-4653 (2013) - 2012
- [j6]Ying Wen, Lianghua He, Pengfei Shi:
Face recognition using difference vector plus KPCA. Digit. Signal Process. 22(1): 140-146 (2012) - [j5]Ying Wen, Lianghua He:
A classifier for Bangla handwritten numeral recognition. Expert Syst. Appl. 39(1): 948-953 (2012) - 2011
- [j4]Ying Wen, Lianghua He:
An Improved Locally Linear Embedding for Sparse Data Sets. Int. J. Pattern Recognit. Artif. Intell. 25(5): 763-775 (2011) - [j3]Die Hu, Lianghua He, Xiaodong Wang:
An Efficient Pilot Design Method for OFDM-Based Cognitive Radio Systems. IEEE Trans. Wirel. Commun. 10(4): 1252-1259 (2011) - 2006
- [j2]Die Hu, Luxi Yang, Yuhui Shi, Lianghua He:
Optimal pilot sequence design for channel estimation in MIMO OFDM systems. IEEE Commun. Lett. 10(1): 1-3 (2006) - [j1]Die Hu, Lianghua He, Luxi Yang:
Joint pilot tone and channel estimator design for OFDM systems. IEEE Commun. Lett. 10(10): 695-697 (2006)
Conference and Workshop Papers
- 2024
- [c31]Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang:
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation. CVPR 2024: 23334-23343 - [c30]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. CVPR 2024: 23585-23594 - 2023
- [c29]Jiafeng Li, Ying Wen, Lianghua He:
SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy. CVPR 2023: 6153-6162 - [c28]Shuai Jiang, Jiazhe Zhu, Lianghua He:
Few-Shot Relational Triple Extraction Based on Evaluation of Token-Level Semantic Similarity. ICANN (8) 2023: 232-242 - [c27]Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He:
Mutually Guided Few-Shot Learning For Relational Triple Extraction. ICASSP 2023: 1-5 - [c26]Liwei Tang, Lianghua He:
EEG-Based Emotion Analysis Using Person-Event Network. SMC 2023: 4908-4913 - [c25]Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma:
MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. UAI 2023: 2411-2421 - 2021
- [c24]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: 1815-1824 - 2020
- [c23]Ying Wen, Kai Xie, Lianghua He:
Segmenting Medical MRI via Recurrent Decoding Cell. AAAI 2020: 12452-12459 - [c22]Guanyu Cai, Yuqin Wang, Lianghua He, Mengchu Zhou:
Adversarial Transform Networks for Unsupervised Transfer Learning. ICNSC 2020: 1-6 - 2019
- [c21]Hongyu Liu, Lianghua He, Shaohua Shang, Jian Lu, Meng Wan, Shuang Liu:
Convolutional Neural Network for Resting State EEG Signal Analysis. ICNSC 2019: 138-143 - 2018
- [c20]Shicheng Yang, Ying Wen, Lianghua He:
Sparse Low-Rank Component Coding for Face Recognition with Illumination And Corruption. ICASSP 2018: 1693-1697 - [c19]Wenwen Mo, Lianghua He, Yuqin Wang, Jian Lu:
Effective Sample Synthesizing in Kernel Space for Imbalanced Classification. SMC 2018: 432-438 - 2017
- [c18]Renjie Hu, Lianghua He, Yuqin Wang, Hu D:
General-to-Specialized Analysis Based on Deep Belief Network. ACPR 2017: 577-582 - [c17]Die Hu, Lianghua He:
Channel Estimation for FDD Massive MIMO OFDM Systems. VTC Fall 2017: 1-5 - 2015
- [c16]Ying Wen, Lili Hou, Lianghua He:
Null space based discriminant sparse representation large margin for face recognition. IJCNN 2015: 1-7 - 2014
- [c15]Yilu Zhao, Lianghua He:
Deep Learning in the EEG Diagnosis of Alzheimer's Disease. ACCV Workshops (1) 2014: 340-353 - [c14]Deping Kuang, Lianghua He:
Classification on ADHD with Deep Learning. CCBD 2014: 27-32 - [c13]Xiaojiao Guo, Lianghua He:
ADHD Discrimination Based on Social Network. CCBD 2014: 55-61 - [c12]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: 203-210 - [c11]Deping Kuang, Xiaojiao Guo, Xiu An, Yilu Zhao, Lianghua He:
Discrimination of ADHD Based on fMRI Data with Deep Belief Network. ICIC (3) 2014: 225-232 - [c10]Xiaojiao Guo, Xiu An, Deping Kuang, Yilu Zhao, Lianghua He:
ADHD-200 Classification Based on Social Network Method. ICIC (3) 2014: 233-240 - [c9]Lianghua He, Bin Liu:
Motor Imagery EEG Signals Analysis Based on Bayesian Network with Gaussian Distribution. ICIC (3) 2014: 241-247 - 2012
- [c8]Ying Wen, Lianghua He, Yue Lu:
Discriminative common vectors based on the Gram-Schmidt reorthogonalization for the small sample size problem. ICASSP 2012: 1325-1328 - [c7]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: 431-439 - 2010
- [c6]Die Hu, Lianghua He:
Pilot Design for Channel Estimation in OFDM-Based Cognitive Radio Systems. GLOBECOM 2010: 1-5 - 2006
- [c5]Die Hu, Lianghua He, Luxi Yang:
Estimation of Rapidly Time-Varying Channels for OFDM Systems. ICASSP (4) 2006: 357-360 - [c4]Lianghua He, Die Hu, Changjun Jiang:
Principal Component Net Analysis for Face Recognition. MICAI 2006: 734-744 - 2005
- [c3]Die Hu, Luxi Yang, Lianghua He, Yuhui Shi:
Optimal pilot sequence design for multiple-input multiple-output OFDM systems. GLOBECOM 2005: 5 - [c2]Lianghua He, Jianzhong Zhou, Die Hu, Cairong Zou, Li Zhao:
Boosted Independent Features for Face Expression Recognition. ISNN (2) 2005: 137-146 - 2004
- [c1]Lianghua He, Stan Z. Li, Jianzhong Zhou, Li Zhao, Cairong Zou:
Optimal Shape Space and Searching in ASM Based Face Alignment. SINOBIOMETRICS 2004: 100-109
Informal and Other Publications
- 2024
- [i20]Hamed Amini Amirkolaee, Miaojing Shi, Lianghua He, Mark Mulligan:
AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image. CoRR abs/2402.02956 (2024) - [i19]Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang:
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation. CoRR abs/2403.03421 (2024) - [i18]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 abs/2403.04149 (2024) - [i17]Yitao Peng, Lianghua He, Die Hu:
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization. CoRR abs/2405.14334 (2024) - [i16]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 abs/2407.12387 (2024) - [i15]Hongzhou Chen, Lianghua He, Yihang Liu, Longzhen Yang:
Visual Neural Decoding via Improved Visual-EEG Semantic Consistency. CoRR abs/2408.06788 (2024) - 2023
- [i14]Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He:
Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. CoRR abs/2301.04970 (2023) - [i13]Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He:
Mutually Guided Few-shot Learning for Relational Triple Extraction. CoRR abs/2306.13310 (2023) - [i12]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 abs/2312.01871 (2023) - 2022
- [i11]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 abs/2203.07720 (2022) - [i10]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 abs/2205.14458 (2022) - [i9]Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He:
MDM: Visual Explanations for Neural Networks via Multiple Dynamic Mask. CoRR abs/2207.08046 (2022) - [i8]Yitao Peng, Yihang Liu, Longzhen Yang, Lianghua He:
DProtoNet: Decoupling Prototype Activation via Multiple Dynamic Masks. CoRR abs/2210.08336 (2022) - 2021
- [i7]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 abs/2103.01654 (2021) - [i6]Guanyu Cai, Lianghua He:
Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint. CoRR abs/2105.12939 (2021) - 2019
- [i5]Haifeng Shi, Guanyu Cai, Yuqin Wang, Shaohua Shang, Lianghua He:
Virtual Conditional Generative Adversarial Networks. CoRR abs/1901.09822 (2019) - [i4]Guanyu Cai, Yuqin Wang, Lianghua He:
Learning Smooth Representation for Unsupervised Domain Adaptation. CoRR abs/1905.10748 (2019) - [i3]Qiang Ren, Shaohua Shang, Lianghua He:
Adaptive Routing Between Capsules. CoRR abs/1911.08119 (2019) - [i2]Ying Wen, Kai Xie, Lianghua He:
Segmenting Medical MRI via Recurrent Decoding Cell. CoRR abs/1911.09401 (2019) - 2018
- [i1]Guanyu Cai, Yuqin Wang, Mengchu Zhou, Lianghua He:
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks. CoRR abs/1804.09578 (2018)
Coauthor Index
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last updated on 2024-10-07 02:36 CEST by the dblp team
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