近期论文
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著作
张正，徐勇，卢光明，《数据分析的机构化表征学习》，人民邮电出版社，ISBN：9787115584014， 2022.11.1
David Zhang, Guangming Lu*, Lei Zhang, Advanced Biometrics, Springer, ISBN: 978-3-319-61544-8, 335pp, 2017.
David Zhang, Guangming Lu, 3D Biometrics: Systems and Applications, Springer, ISBN: 978-1-4614-7399-2, 290pp, 2013.
期刊论文
Wenjie Pei#, Xin Feng#, Canmiao Fu, Qiong Cao, Guangming Lu*, Yuwing Tai, Learning Sequence Representations by Non-local Recurrent Neural Memory, International Journal of Computer Vision (IJCV),2022, 130: 2532-2552
Zebin Lin, Wenjie Pei, Fanglin Chen, David Zhang, Guangming Lu*, Pedestrian Detection by Exemplar-Guided Contrastive Learning, IEEE Transactions on Image Processing,
2023, 32: 2003-2016
Xin Feng, Wenjie Pei*, Zihui Jia, Fanglin Chen, David Zhang, Guangming Lu*, David Zhang, Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images, IEEE Transactions on Image Processing, 2021, 30: 4867-4882
Jinxing Li, Dandan Fan, Lingxiao Yang, Shuhang Gu, Guangming Lu*, Yong Xu, David Zhang, Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection, IEEE Transactions on Image Processing, 2021, 30: 3748-3763
Zheng Zhang, Xunguang Wang, Guangming Lu, Fumin Shen, Lei Zhu, Targeted Attack of Deep Hashing via Prototype-supervised Adversarial Networks, IEEE Transactions on Multimedia, 2022, 24: 3392-3404
Yuanrong Xu, Yao Lu, Fanglin Chen, Guangming Lu*, David Zhang, High Resolution Fingerprint Retrieval Based on Pore Indexing and Graph Comparison, IEEE Transactions on Information Forensics & Security, 2022, 17: 226-236
Jinxing Li, Xiangwei Lu, Beicheng Liang, Mu Li, Guangming Lu, Yong Xu, From Global to Local: Multi-Patch and Multi-Scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection, IEEE Transactions on Image Processing, 2023, 32: 1158-1169
Bo Jiang, Yao Lu, Xiaosheng Chen, Xinhai Lu, Guangming Lu*, Graph Attention in Attention Network for Image Denoising, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2023, DOI: 10.1109/TSMC.2023.3289873
Bingzhi Chen, Yishu Liu, Yingjian Li, Zheng Zhang, Guangming Lu*, Adams Wai Kin Kong, TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation, IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, accepted
Xiaotian Yu#, Yifan Yang#, Aibo Wang, Ling Xing, Haokui Zhang, Hanling Yi, Guangming Lu, Xiaoyu Wang, Adapt-InfoMap: Face Clustering with Adaptive Graph Refinement in InfoMap, Pattern Recognition, 2023, accepted
Xin Feng#, Haobo Ji#, Jinxing Li, Wenjie Pei, and Guangming Lu*, David Zhang, U2-Former: Nested U-shaped Transformer for Image Restoration via Multi-view Contrastive Learning, IEEE Transactions on Circuits and Systems for Video Technology, TCSVT-10510-2022, accepted
Jiayu Xu, Ailiang Lin, Jinxing Li, Guangming Lu*, Text Position-aware Pixel Aggregation Network with Adaptive Gaussian Threshold: Detecting text in the wild, IEEE Transactions on Circuits and Systems for Video Technology, TCSVT-10169-2022, accepted
Guimin Hu, Guangming Lu, Yi Zhao, Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023, 31: 1141-1152
Bo Jiang, Yao Lu, Bob Zhang, Guangming Lu*, Deep Image Denoising Networks with Few-shot Learning, IEEE Transactions on Circuits and Systems for Video Technology, 2023, DOI: 10.1109/TCSVT.2023.3248585
Zheng Zhang, Jianning Wang, Lei Zhu, Yadan Luo, Guangming Lu, Deep Collaborative Graph Hashing for Discriminative Image Retrieval, Pattern Recognition, 2023: 109462
Mixiao Hou, Zheng Zhang, Chang Liu, Guangming Lu*, Semantic Alignment Network for Multi-modal Emotion Recognition, IEEE Transactions on Circuits and Systems for Video Technology, 2023, DOI: 10.1109/TCSVT.2023.3247822
Huafeng Li, Junzhi Zhao, Jinxing Li, Zhengtao Yu, Guangming Lu, Feature Dynamic Alignment and Refinement for Infrared-Visible Image Fusion: Translation Robust Fusion, Information Fusion, 2023, 95: 26-41
Xu Liang, Dandan Fan, Jinyang Yang, Wei Jia, Guangming Lu, David Zhang*, PKLNet: Keypoint Localization Neural Network for Touchless Palmprint Recognition Based on Edge-Aware Regression, IEEE Journal of Selected Topics in Signal Processing, 2023, DOI: 10.1109/JSTSP.2023.3241540
Yishu Liu, Bingzhi Chen, Zheng Zhang, Hongbing Yu, Shouhang Ru, Xiaosheng Chen, Guangming Lu*, Self-Paced Multi-view Learning for CT-based Severity Assessment of COVID-19, Biomedical Signal Processing and Control, 2023, 2023, 83: 104672
Bo Jiang, Jinxing Li, David Zhang, Huafeng Li, Guangming Lu*, Enhancing Frequency Fusion Network with Dynamic Hash Attention for Image Denoising, Information Fusion, 2023, DOI: https://doi.org/10.1016/j.inffus.2022.12.015
Le Zhang, Yao Lu, Jinxing Li, Fanglin Chen, David Zhang, Guangming Lu*, Deep Adaptive Hiding Networks for Steganography using Attentive Frequency Extraction and Gradual Depth Extraction, Neural Computing and Applications, 2023, DOI: 10.1007/s00521-023-08274-w
Zengwei Yao, Wenjie Pei, Fanglin Chen, Guangming Lu*, and David Zhang, Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in High-order Latent Domain, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022: 378-393
Bo Jiang, Yao Lu, Jiahuan Wang, Guangming Lu*, Deep Image Denoising with Adaptive Priors, IEEE Transactions on Circuits and Systems for Video Technology, 2022, DOI: 10.1109/TCSVT.2022.3149518
Xin Feng, Fengjun Li, Wenjie Pei, Fanglin Chen, David Zhang, and Guangming Lu*, Generative Memory-Guided Semantic Reasoning Model for Image Inpainting, IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(11): 7432-7447
Bo Jiang, Jiahuan Wang, Yao Lu, Guangming Lu*, David Zhang, Multi-level Noise Contrastive Network for Few-shot Image Denoising, IEEE Transactions on Instrumentation & Measurement,2022, 71: 1-13
Zheng Zhang, Jianning Wang, Lei Zhu, Guangming Lu, Discriminative Visual Similarity Search with Semantically Cycle-consistent Hashing Networks, ACM Transactions on Multimedia Computing Communications and Applications, 2022, 18(2s): 1-21
Zejun Liu, Fanglin Chen, Jun Xu, Wenjie Pei, Guangming Lu, Image-Text Retrieval with Cross-Modal Sementic Importance Consistency, IEEE Transactions on Circuits and Systems for Video Technology, TCSVT-10238-2022, 2023, 33(5): 2465-2476
Guimin Hu, Yi Zhao, Guangming Lu, Fanghao Yin, Jiashan Chen, An Exploration of Mutual Information based on Emotion-Cause Pair Extraction, Knowledge-Based Systems, 2022: 109822
Fanglin Chen, Wenjie Pei, Guangming Lu, Neighborhood-Exact Nearest Neighbor Search for face retrieval, Knowledge-Based Systems 248, 108757
Bo Jiang, Mixiao Hou, Jiahuan Wang, Yao Lu, Guangming Lu*, Recursive Feature Diversity Network for Audio Super-Resolution, Speech Communication, 2022, 144: 57-66
Mixiao Hou, Zheng Zhang, Qi Chao, David Zhang, and Guangming Lu*, Multi-view Speech Emotion Recognition via Collective Relation Construction, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021, 30: 218-229
Bingzhi Chen, Qi Cao, Mixiao Hou, Zheng Zhang, Guangming Lu*, Multi-modal Speech-Text Emotion Recognition with Temporal and Semantic Consistency, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021, 29: 3592-3603
Bingzhi Chen, Yao Lu, Zheng Zhang*, Guangming Lu, David Zhang, Semantic-Interactions Graph Convolutional Network for Multi-label Image Recognition, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(8): 4887-4899
Zheng Zhang, Haoyang Luo, Xinwang Liu, Guangming Lu, Yang Wang, Meng Wang, Modality-Invariant Asymmetric Networks for Cross-Modal Hashing, IEEE Transactions on Knowledge and Data Engineering, 2022, DOI: 10.1109/TKDE.2022.3144352
Xu Liang, Zhaoqun Li, Dandan Fan, Bob Zhang, Guangming Lu*, David Zhang, Novel Contactless Palmprint Recognition System based on Dual-Camera Alignment, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(10): 6464-6476
Yingjian Li, Bingzhi Chen, Zheng Zhang, Guangming Lu*, and David Zhang, Deep Margin-Sensitive Representation Learning for Cross-Domain Facial Expression Recognition, IEEE Transactions on Multimedia, 2022, DOI: 10.1109/TMM.2022.3141604
Qianting Pang, Yuanrong Xu, Fanglin Chen, Guangming Lu*, David Zhang, Hierarchical Pore-based High-resolution Fingerprint Indexing, IEEE Transactions on Instrumentation & Measurement, 2022，DOI: 10.1109/TIM.2022.3146944
Ailiang Lin, Bingzhi Chen, Zheng Zhang, Guangming Lu*, DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation, IEEE Transactions on Instrumentation and Measurement, 2022, DOI: 10.1109/TIM.2022.3178991
Dongming Li, Jinxing Li, Yuanyi Fan, Guangming Lu*, Jie Ge, Xiaoyang Liu, Printed Label Defect Detection using Twice Gradient Matching based on Improved Cosine Similarity Measure, Expert Systems with Applications, 2022, 204: 117372
Bo Jiang, Yao Lu, Zheng Zhang, Wenjie Pei, Guangming Lu*, Real Noise Image Adjustment Networks for Saliency-aware Stylistic Color Retouch, Knowledge-Based Systems, 2022, https://doi.org/10.1016/j.knosys.2022.108317
Fanglin Chen, Weihang Wang, Huiyuan Yang, Wenjie Pei, and Guangming Lu, Multiscale Feature Fusion for Surveillance Video Diagnosis, Knowledge-Based Systems, 2022, 240: 108103
Yingjian Li, Yao Lu, Bingzhi Chen, Jinxing Li, Zheng Zhang, Guangming Lu, and David Zhang, Learning Informative and Discriminative Features for Facial Expression Recognition in the Wild. IEEE Transactions on Circuits and Systems for Video Technology. 2021, TCSVT-05381-2020, DOI: 10.1109/TCSVT.2021.3103760
Yingjian Li, Yingnan Gao, Bingzhi Chen, Zheng Zhang, Guangming Lu*, and David Zhang, Self-supervised Exclusive-Inclusive Interactive Learning for Multi-Label Facial Expression Recognition in the Wild, IEEE Transactions on Circuits and Systems for Video Technology, TCSVT-06304-2021, 2021, DOI: 10.1109/TCSVT.2021.3103782
Yuanrong Xu, Yao Lu, Guangming Lu*, David Zhang, Fast Pore Comparison for High Resolution Fingerprint Images Based on Multiple Co-occurrence Descriptors and Local Topology Similarities, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(9): 5721-5731
Xu Liang, Jinyang Yang, Bingzhi Chen, Yuanrong Xu, Guangming Lu*, David Zhang, CompNet: A Competitive Neural Network for Palmprint Recognition using Learnable Gabor Kernels, IEEE Signal Processing Letters, 2021, SPL-30251-2021, DOI: 10.1109/LSP.2021.3103475
Bingzhi Chen, Zheng Zhang, Guangming Lu*, David Zhang, Multi-Label Chest X-ray Image Classification via Image-wise Semantic Similarity Graph Embedding, IEEE Transactions on Circuits and Systems for Video Technology, 2021, DOI: 0.1109/TCSVT.2021.3079900
Bingzhi Chen, Yishu Liu, Zheng Zhang, Yingjian Li, Guangming Lu*, and Shuihua Wang, Deep Active Context Estimation for automated COVID-19 Diagnosis, ACM Transactions on Multimedia Computing, Communications, and Applications, 2021, 17(3s): 1-22
Jinxing Li, Guangming Lu, Bob Zhang, Jane You, David Zhang, Shared Linear Encoder Based Multi-Kernel Gaussian Process Latent Variable Model for Visual Classification, IEEE Transactions on Cybernetics, 2021, 51(2): 534-547
Yao Lu, Zheng Zhang, Guangming Lu*, Yicong Zhou, Jinxing Li, David Zhang, Addi-Reg: A Better Generalization-Optimization Trade-off Regularization Method for Convolutional Neural Networks, IEEE Transactions on Cybernetics, 2022, 52(10): 10827-10842
Jinxing Li, Xiaobao Guo, Guangming Lu, Bob Zhang, Yong Xu, Feng Wu, David Zhang, DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion, IEEE Transactions on Image Processing, 2020, 4816-4831, DOI: 10.1109/TIP.2020.2976190.
Yao Lu, Guangming Lu*, Jinxing Li, Yuanrong Xu, David Zhang, Multi-Scale Conditional Regularization for Convolutional Neural Networks, IEEE Transactions on Cybernetics, 2020, DOI: 10.1109/TCYB.2020.2979968.
Zheng Zhang, Xiaofeng Zhu, Guangming Lu*, Yudong Zhang, Probability Ordinal-preserving Semantic Hashing for Large-Scale Image Retrieval, ACM Transactions on Knowledge Discovery from Data, 2021, 15(3): 1-22
Zheng Zhang, Fumin Shen, Hengtao Shen, Guangming Lu*, Inductive Structure Consistent Hashing via Flexible Semantic Calibration, IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(10): 4514-4528.
Yingjian Li, Guangming Lu*, Jingxing Li, David Zhang, Facial Expression Recognition in the Wild Using Multi-level Features and Attention Mechanisms. IEEE Transactions on Affective Computing. 2019.6.18-2020.10.13, DOI: 10.1109/TAFFC.2020.3031602
Yao Lu, Guangming Lu*, Jinxing Li, Fully Shared Convolutional Networks, Neural Networks, Neural Computing and Applications, 2020, DOI: 10.1007/s00521-020-05618-8, 4.774
Yao Lu, Guangming Lu*, Yicong Zhou, Jinxing Li, Yuanrong Xu, David Zhang, Highly Shared Convolutional Networks, Expert Systems with Applications, 2021, https://doi.org/10.1016/j.eswa.2021.114782
Zizhu Fan, Hong Zhang, Zheng Zhang, Guangming Lu, Yudong Zhang, A Survey of Crowed Counting and Density Estimation based on Convolutional Neural Network, Neurocomputing, 2021, https://doi.org/10.1016/j.neucom.2021.02.103
Guimin Hu, Guangming Lu, Yi Zhao, FSS-GCN: A Graph Convolutional Network with Fusion of Semantic and Structure for Emotion Cause Analysis, Knowledge-Based Systems, 2020, 212: 106584
Weinong Wang，Wenjie Pei，Qiong Cao，Shu Liu, Guangming Lu，Yu-Wing Tai, Push for Center Learning via Orthogonalization and Subspace Masking for Person Re-Identification, IEEE Transactions on Image Processing, 2020, DOI: 10.1109/TIP.2020.3036720
Jinxing Li, Bob Zhang, Guangming Lu, Yong Xu, Feng Wu, David Zhang, Harmonization Shared Auto-Encoder Gaussian Process Latent Variable Model with Relaxed Hamming Distance, IEEE Transactions on Neural Networks and Learning Systems, 2020, DOI: 10.1109/TNNLS.2020.3026876
Jinxing Li, Zhaoqun Li, Guangming Lu*, Yong Xu, Bob Zhang, David Zhang, Asymmetric Gaussian Process Multi-view Learning for Visual Classification, Information Fusion, 2020, https://doi.org/10.1016/j.inffus.2020.08.020.
Mixiao Hou, Jinxing Li, Guangming Lu*, A Supervised Non-Negative Matrix Factorization Model for Speech Emotion Recognition, Speech Communication, 2020, DOI: 10.1016/j.specom.2020.08.002
Jinxing Li, Mu Li, Guangming Lu, Bob Zhang, Hongpeng Yin, David Zhang, Similarity and Diversity Induced Paired Projection for Cross-modal Retrieval, Information Sciences, 2020, 539: 215–228
Yao Lu, Guangming Lu*, Rui Lin, Jinxing Li, David Zhang, SRGC-Nets: Sparse Repeated Group Convolutional Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, 2019, DOI: 10.1109/TNNLS.2019.2933665.
Jinxing Li, Bob Zhang, Guangming Lu, Jane You, Yong Xu, Feng Wu, David Zhang, Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching, IEEE Transactions on Neural Networks and Learning Systems, 2019, DOI: 10.1109/TNNLS.2019.2958061.
Bingzhi Chen, Jinxing Li, Guangming Lu*, David Zhang, Label Co-occurrence Learning with Graph Convolutional Networks for Multi-label Chest X-ray Image Classification, IEEE Journal of Biomedical and Health Informatics, 2020, DOI: 10.1109/JBHI.2020.2967084.
Bingzhi Chen, Zheng Zhang, Jianyong Lin, Yi Chen, Guangming Lu*, Two-Stream Collaborative Network for Multi-label Chest X-ray Image Classification based on Lung Segmentation, Pattern Recognition Letters, 2020, 135:221-227.
Zhixing Jiang, Jin Zang, Guangming Lu, David Zhang, Features Fusion of Multichannel Wrist Pulse Signals Based on Karhunen-Loeve Multiple Generalized Discriminative Canonical Correlation Analysis, Biomedical Signal Processing and Control, 2019, DOI: 10.1016/j.bspc.2019.101751.
Bingzhi Chen, Jinxing Li, Guangming Lu*, David Zhang, Lesion Location Attention Guided Network for Multi-label Thoracic Disease Classification in Chest X-rays, IEEE Journal of Biomedical and Health Informatics, 2019.4.22, R1: 2019-7-15, R2: 2019-9-26, 2019-11-3, DOI: 10.1109/JBHI.2019.2952597.
Yao Lu, Guangming Lu*, Yuanrong Xu, High Parameters’ Efficiency Convolutional Neural Networks, Neural Computing and Applications, 2019, DOI: 10.1007/s00521-019-04596-w, 1-12.
Yuanrong Xu, Guangming Lu*, Yao Lu, David Zhang, High Resolution Fingerprint Recognition Using Pore-Edge Descriptors, Pattern Recognition Letters, 2019, DOI: 10.1016/j.patrec.2019.08.006.
Jinxing Li, Bob Zhang, Guangming Lu, David Zhang, Dual Asymmetric Deep Hashing Learning, IEEE Access, 2019, 4: 1-13. DOI: 10.1109/ACCESS.2019.2927524.
Jinxing Li, Guangming Lu, Bob Zhang, Jane You, David Zhang, Shared Linear Encoder Based Multi-Kernel Gaussian Process Latent Variable Model for Visual Classification, IEEE Transactions on Cybernetics, 2019, 99: 1-14, DOI: 10.1109/TCYB.2019.2915789.
Bingzhi Chen, Jinxing Li, Xiaobao Guo, Guangming Lu*, DualCheXNet: Dual Asymmetric Feature Learning for Thoracic Disease Classification in Chest X-rays, submitted to Biomedical Signal Processing and Control, 2019, 53 (101554), https://doi.org/10.1016/j.bspc.2019.04.031.
Yao Lu, Guangming Lu*, Yuanrong Xu, Weighted Channel-Wise Decomposed Convolutional Neural Networks, Neural Processing Letters, 2019, https://doi.org/10.1007/s11063-019-10032-w.
Xu Liang, David Zhang, Guangming Lu, Zhenhua Guo, A Novel Multicamera System for High-Speed Touchless Palm Recognition, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, PP(99): 1-15.
Zhixing Jiang, David Zhang, Guangming Lu, A Robust Wrist Pulse Acquisition System Based on Multisensor Collaboration and Signal Quality Assessment, IEEE Transactions on Instrumentation & Measurement, 2019, PP(99): 1-10.
Jinxing Li, Bob Zhang, Guangming Lu, David Zhang, Generative Multi-view and Multi-feature Learning for Classification, Information Fusion, 10.1016/j.inffus.2018.02.005, 2019.
Lunke Fei, Guangming Lu, Wei Jia, Shaohua Teng, David Zhang, Feature Extraction and Matching of Palmprint Image: A Survey, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 49(2), 346-363.
Yuanrong Xu, Guangming Lu*, Yao Lu, Feng Liu, David Zhang, Fingerprint Pore Matching Using Local Features and Spatial Relations, IEEE Transactions on Circuits and Systems for Video Technology, 2018, doi: 10.1109/TCSVT.2018.2875417.
Lunke Fei, Guangming Lu, Complete Binary Representation for 3D Palmprint Recognition, IEEE Transactions on Instrumentation & Measurement, 2018, (99):1-11, DOI: 10.1109/TIM.2018.2830858.
Kebin Wu, David Zhang, Guangming Lu, Zhenhua Guo, Learning Acoustic Features to Detect Parkinson's Disease, Neurocomputing, 2018, 318: 102-108.
Kebin Wu, David Zhang, Guangming Lu, Zhenhua Guo, Influence of Sampling Rate on Voice Analysis for the Detection of Parkinson's Disease, Journal of the Acoustical Society of America, 2018: 1416-1423
Kebin Wu, David Zhang, Guangming Lu, Zhenhua Guo, Joint Learning for Voice Based Disease Detection, Pattern Recognition, 2018, DOI: 10.1016/j.patcog.2018.09.013.
Ai Sun, Yingjian Li, Yueh-Min Huang, Qiong Li, Guangming Lu, Facial Expression Recognition Using Optimized Active Regions, Human-centric Computing and Information Sciences, 2018.9.28.
Jinxing Li, Bob Zhang, Guangming Lu, David Zhang, Body Surface Feature-based Multi-modal Learning for Diabetes Mellitus Detection, Information Sciences, 2019, 472: 1-14.
Jinxing Li, Bob Zhang, Guangming Lu, David Zhang, Visual Classification with Multi-Kernel Shared Gaussian Process Latent Variable Model, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2018.2831457, 2018: 1-14.
Zhixing Jiang, David Zhang, Guangming Lu*, Conflict of interest-Radial Artery Pulse Waveform Analysis based on Curve Fitting using Discrete Fourier Series, Computer Methods and Programs in Biomedicine, https://doi.org/10.1016/j.cmpb.2018.04.019, 2018.
Guangming Lu*, Yuanrong Xu, A Fast Pores Matching Method Based on Deterministic Annealing Algorithm, IET Image Processing, DOI: 10.1049/iet-ipr.2017.0138, 2017, 11 (11), 1034-1040.
Kebin Wu, David Zhang, Guangming Lu, GMAT: Glottal closure instants detection based on the Multiresolution Absolute TKEO, Digital Signal Processing, 2017, 69: 286-299.
Bob Zhang, Xihua Xiao, Guangming Lu, Facial Beauty Analysis Based on Features Prediction and Beautification Models, Pattern Analysis and Applications, 2017: 1-14.
Dimin Wang, D. Zhang, Guangming Lu, Generalized Feature Extraction for Wrist Pulse Analysis: from 1-D Time Series to 2-D Matrix, IEEE Journal of Biomedical and Health Informatics, 2017, 21(4): 978-985.
Zuofeng Zhong, Bob Zhang, Guangming Lu, Yong Zhao, Yong Xu, An Adaptive Background Modeling Method for Foreground Segmentation, IEEE Transactions on Intelligent Transportation Systems. doi:10.1109/TITS.2016.2597441, 2017, 18(5): 1109-1121.
Kebin Wu, David Zhang, Guangming Lu, iPEEH: Improving Pitch Estimation by Enhancing Harmonics, Expert Systems With Applications, 2016, 64: 317-329.
Yahui Liu, Bob Zhang, Guangming Lu, David Zhang, Online 3D Ear Recognition by Combing Global and Local Features, PLOS ONE, 2016: 1-19
Xiaofeng Qu, David Zhang, Guangming Lu, A Novel Line-Scan Palmprint Acquisition System, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016.01, 46(11): 1481-1491.
Xiaofeng Qu, David Zhang, Guangming Lu, Zhenhua Guo, Door Knob Hand Recognition System, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016.03: 47 (11), 2870-2881
Yong Xu, Zheng Zhang, Guangming Lu, Jian Yang, Approximately Symmetrical Face Images for Image Preprocessing in Face Recognition and Sparse Representation based Classification, Pattern Recognition, 2016.06, 54: 68-82
Dimin Wang, D. Zhang, Guangming Lu, A robust signal preprocessing framework for wrist pulse analysis, Biomedical Signal Processing and Control, 2016.01, 23: 62-75
Dimin Wang, David Zhang, and Guangming Lu, An Optimal Pulse System Design by Multi-channel Sensors Fusion, IEEE Journal of Biomedical and Health Informatics, 2016.03, 99: 1-9.
Yahui Liu, Guangming Lu, David Zhang, An Effective 3D Ear Acquisition System, PLOS ONE, 2015.06: 1-14, DOI:10.1371/journal.pone.0129439.
David ng, Dimin Wang, and Guangming Lu, A Novel Multi-channel Wrist Pulse System with Different Sensor Arrays, IEEE Transactions on Instrumentation & Measurement, 2015.06, 64(7): 2020-2034.
Ke Yan, David Zhang, Darong Wu, Hua Wei, Guangming Lu, Design of a Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2014, 61(11): 2787-2795.
Dongmin Guo, David Zhang, Lei Zhang, Guangming Lu, Non-invasive blood glucose monitoring for diabetics by means of breath signal analysis, Sensors and Actuators B: Chemical, 2012, 173: 106-113.
F. Liu, D. Zhang, C. Song, and Guangming Lu, Touchless Multi-view Fingerprint Acquisition and Mosaicking, IEEE Trans. on Instrumentation and Measurement, 2013, 62(9): 2492-2502.
Wei Li, David Zhang, Guangming Lu, Nan Luo, A Novel 3D Palmprint Acquisition System, Bulletin of Advanced Technology Research, 2012, 6(2): 2-10.
Wei Li, David Zhang, Lei Zhang, Guangming Lu, and Jingqi Yan, 3-D Palmprint Recognition with Joint Line and Orientation Features, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: Applications and Reviews, 2011, 41(2): 274-279.
Li Wei, Zhang David, Lu Guangming, Luo Nan. A Novel 3-D Palmprint Acquisition System. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans. 2011, 99: 1-10.
David Zhang, Zhenhua Guo, Guangming Lu, Lei Zhang, Yahui Liu, and Wangmeng Zuo, Online Joint Palmprint and Palmvein Verification, Expert Systems with Applications, 2011, 38(3): 2621-2631.
Wei Li, David Zhang, Lei Zhang, Guangming Lu, and Jingqi Yan, Three Dimensional Palmprint Recognition with Joint Line and Orientation Features, Bulletin of Advanced Technology Research, 2011, 5(11): 62-68.
David Zhang, Feng Liu, Qijun Zhao, Guangming Lu, and Nan Luo, Selecting a Reference High Resolution for Fingerprint Recognition Using Minutiae and Pores, IEEE Transactions on Instrumentation and Measurement, 2011, 60(3): 863-871.
Zhenhua Guo, David Zhang, Lei Zhang, Wangmeng Zuo, Guangming Lu, Empirical study of light source selection for palmprint recognition, Pattern Recognition Letters, 2011, 32(2): 120-126.
David Zhang, Zhenhuaguo Guo, Guangming Lu, Lei Zhang, and Wangmeng Zuo, An Online System of Multi-spectral Palmprint Verification, IEEE Transactions on Instrumentation & Measurement. 2010, 59(2): 480-490.
会议论文
Xin Feng, Yifeng Xu, Wenjie Pei, Guangming Lu*, Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection, ICCV 2023, #6339 (CCF A)
Yishu Liu, Qingpeng Wu, Zheng Zhang, Jingyi Zhang, Guangming Lu*, Multi-Granularity Interactive Transformer Hashing for Cross-modal Retrieval, ACM MM 2023, #3091 (CCF A)
Songlin Tang, Wenjie Pei, Xin Tao, Tanghui Jia, Guangming Lu, Yuwing Tai, Scene-Generalizable Interactive Segmentation of Radiance Fields, ACM MM 2023, #2389 (CCF A)
Zhenhua Ning, Zhuotao Tian, Guangming Lu, Wenjie Pei, 3D Few-Shot Point Cloud Segmentation with Denoised Protytpes and Query-Guided Prototypes Enhancement, ACM MM 2023, #2594 (CCF A)
Chuhao Zhou, Jinxing Li, Huafeng Li, Guangming Lu, Yong Xu, Min Zhang, Video-based Visible-Infrared Person Re-Identification via Style Disturbance Defense and Dual Interaction, ACM MM 2023, #3371 (CCF A)
Zeyu Ma, Wei Ju, Xiao Luo, Chong Chen, Xian-Sheng Hua, Guangming Lu*, Improved Deep Unsupervised Hashing via Prototypical Learning, ACM MM 2022, 2022: 659-667. (CCF A)
Fengjun Li#, Xin Feng#, Jiatong Zhang, Fanglin Chen, Guangming Lu, Wenjie Pei, Learning Generalizable Latent Representations for Novel Degradations in Super-Resolution, ACM MM 2022, #2263. (CCF A)
Jingjing Wu, Wenjie Pei, Guangming Lu, Decoupling Recognition from Detection: End-to-End Self-Reliant Scene Text Spotter, ACM MM 2022, #2205. (CCF A)
Wenjie Pei, Shuang Wu, Dianwen Mei, Fanglin Chen, Jiandong Tian, Guangming Lu, Few-shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations, ECCV 2022, #6004 (CCF B)
Shuang Wu, Wenjie Pei, Dianwen Mei, Fanglin Chen, Jiandong Tian, Guangming Lu, Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection, ECCV 2022, #3523 (CCF B)
Guimin Hu, Guangming Lu, Yi Zhao, UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition, EMNLP 2022, #2620 (CCF B)
Ailiang Lin, Jiayu Xu, Jinxing Li, and Guangming Lu*, ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation, MICCAI 2022, #1211 (CCF B)
Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Tom Cai, Domain adaptive nuclei instance segmentation and classification via category-aware feature alignment and pseudo-labelling, MICCAI 2022, #1242 (CCF B)
Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu, Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing, CVPR, 2021, #5248 (CCF A)
Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Guangming Lu*, Xing Sun, Semi-Structure Pruning for Convolutional Neural Networks, NeurIPS 2020, #549 (CCF A)
Xinyu Lin, Jinxing Li*, Zeyu Ma, Huafeng Li, Guangming Lu, Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification, CVPR 2022, #6336. (CCF A)
Zeyu Ma, Xiao Luo, Yingjie Chen, Jinxing Li, Minghua Deng, Guangming Lu*, Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval, IJCAI 2022, #1248. (CCF A)
Xunguang Wang, Zheng Zhang and Guangming Lu, Yong Xu, Targeted Attack and Defense for Deep Hashing, SIGIR 2021 (44th International ACM SIGIR Conference on Research and Development in Information Retrieval), 2021, #1338, DOI: 10.1145/3404835.3463233 (CCF A)
Yingjian Li, Yao Lu, Zheng Zhang, Guangming Lu*, and David Zhang, Learning Domain-invariant Discriminative Representations for Facial Expression Recognition, ACM Multimedia, 2021, #1743, accepted (CCF A)
Yongyong Chen, Xiaolin Xiao, Guangming Lu*, and Yicong Zhou, Partial Tubal Nuclear Norm Regularized Multi-view Learning, ACM MM 2021, #2954, accepted (CCF A)
Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu*, Filter Grafting for Deep Neural Networks, CVPR 2020，DOI: 10.1109/CVPR42600.2020.00663 (CCF A)
Yao Lu, Guangming Lu*, Yuanrong Xu, Bob Zhang, Super Sparse Convolutional Neural Networks, AAAI-#2071, 2019, 33: 4440–4447 (CCF A)
Yao Lu, Guangming Lu*, Yuanrong Xu, Bob Zhang, AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks, IJCAI, 2018 (#1389): 2511-2517 (CCF A)
Jinxing Li, Bob Zhang, Guangming Lu, David Zhang, Shared Linear Encoder-based Gaussian Process Latent Variable Model for Visual Classification, ACM MM 2018, 2018 (#72): DOI: 10.1145/3240508.3240520 (CCF A)
Wei Li, Lei Zhang, David Zhang, Guangming Lu and Jingqi Yan, Efficient Joint 2D and 3D Palmprint Matching with Alignment Refinement, CVPR, 2010: 795-801 (CCF A)
Mixiao Hou, Zheng Zhang, Guangming Lu*, Multi-Modal Emotion Recognition with Self-Guided Modality Calibration, ICASSP 2022, #3721, accepted (CCF B)
Zeyu Ma, Yuhang Guo, Xiao Luo, Chong Chen, Minghua Deng, Wei Cheng, Guangming Lu*, DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning, ICASSP 2022, #9071, accepted (CCF B)
Jiawang Zhou, Fanglin Chen, Guangming Lu, Pruning Based Training-Free Neural Architecture Search, ICME 2022, #1323 (CCF B)
Guimin Hu, Guangming Lu, Yi Zhao, Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction, EMNLP 2021, #604 (CCF B)
Xin Feng, Haobo Ji, Bo Jiang, Wenjie Pei*, Fanglin Chen, David Zhang, Guangming Lu*, Contrastive Feature Decomposition for Image Reflection Removal, ICME 2021, #1176, accepted (CCF B)
Qi Cao, Mixiao Hou, Bingzhi Chen, Guangming Lu*, Hierarchical Network Based on the Fusion of Static and Dynamic Features for Speech Emotion Recognition, ICASSP 2021, accepted (CCF B)
Xiaobao Guo, Guangming Lu*, Jinxing Li, MASK-MOST NET: MASK APPROXIMATION BASED MULTI-ORIENTED SCENE TEXT DETECTION NETWORK, ICME 2019, 2019: 206-211 (CCF B)
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