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ORCIDYonggang Lu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j33]Jiaxuan Liu, Yonggang Lu, Li Zhu:
A kinetic model for solving a combination optimization problem in ab-initio Cryo-EM 3D reconstruction. Briefings Bioinform. 25(2) (2024)- [j32]Zhenyu Lu
, Yonggang Lu:
Disentangling the intrinsic feature from the related feature in image classification using knowledge distillation and object replacement. Expert Syst. Appl. 246: 123193 (2024) - [j31]Jiakang Li, Songning Lai, Zhihao Shuai, Yuan Tan, Yifan Jia, Mianyang Yu, Zichen Song, Xiaokang Peng, Ziyang Xu, Yongxin Ni, Haifeng Qiu, Jiayu Yang, Yutong Liu, Yonggang Lu:
A comprehensive review of community detection in graphs. Neurocomputing 600: 128169 (2024) - [j30]Xiong Gao, Zhaobin Chang, Xingcheng Ran, Yonggang Lu:
CANet: Comprehensive Attention Network for video-based action recognition. Knowl. Based Syst. 296: 111852 (2024) - 2023
- [j29]Xingcheng Ran, Yue Xi, Yonggang Lu, Xiangwen Wang, Zhenyu Lu:
Comprehensive survey on hierarchical clustering algorithms and the recent developments. Artif. Intell. Rev. 56(8): 8219-8264 (2023) - [j28]Zhaobin Chang, Yonggang Lu, Xingcheng Ran, Xiong Gao, Hong Zhao:
Simple yet effective joint guidance learning for few-shot semantic segmentation. Appl. Intell. 53(22): 26603-26621 (2023) - [j27]Xiong Gao, Zhaobin Chang, Yande Li, Xingcheng Ran, Wei Ke, Yonggang Lu:
Fine-gained Motion Enhancement for action recognition: Focusing on action-related regions. Displays 80: 102569 (2023) - [j26]Fadi A. Thabtah, Heba Mohammad, Yonggang Lu, Bo Zhang:
Neuropsychological features evaluation of data related to Alzheimer's disease progression using feature selection. Intell. Decis. Technol. 17(4): 1161-1178 (2023) - [j25]Zhenyu Lu, Yonggang Lu:
A Balanced Triplet Loss for Person Re-Identification. Int. J. Pattern Recognit. Artif. Intell. 37(1): 2256022:1-2256022:22 (2023) - [j24]Zhenyu Lu, Yonggang Lu:
Enhancing the reliability of image classification using the intrinsic features. Knowl. Based Syst. 263: 110256 (2023) - [j23]Zhaobin Chang, Yonggang Lu, Xingcheng Ran, Xiong Gao, Xiangwen Wang:
Few-shot semantic segmentation: a review on recent approaches. Neural Comput. Appl. 35(25): 18251-18275 (2023) - [c43]Jiakang Li, Xiaokang Peng, Jie Hou, Wei Ke, Yonggang Lu:
Community Detection Using Revised Medoid-Shift Based on KNN. ICIC (4) 2023: 345-353 - [i3]Yande Li, Mingjie Wang, Minglun Gong, Yonggang Lu, Li Liu:
FER-former: Multi-modal Transformer for Facial Expression Recognition. CoRR abs/2303.12997 (2023) - [i2]Jie Hou, Jiakang Li, Xiaokang Peng, Wei Ke, Yonggang Lu:
Community Detection Using Revised Medoid-Shift Based on KNN. CoRR abs/2304.09512 (2023) - [i1]Songning Lai, Jiakang Li, Yonggang Lu:
A Comprehensive Review of Community Detection in Graphs. CoRR abs/2309.11798 (2023) - 2022
- [j22]Xiangwen Wang, Yonggang Lu, Xianghong Lin:
Heterogeneous cryo-EM projection image classification using a two-stage spectral clustering based on novel distance measures. Briefings Bioinform. 23(3) (2022) - [j21]Zhaobin Chang, Yonggang Lu, Xiangwen Wang, Xingcheng Ran:
MGNet: Mutual-guidance network for few-shot semantic segmentation. Eng. Appl. Artif. Intell. 116: 105431 (2022) - [j20]Yuan Ye, Yonggang Lu, Powell Robinson, Arunachalam Narayanan:
An empirical Bayes approach to incorporating demand intermittency and irregularity into inventory control. Eur. J. Oper. Res. 303(1): 255-272 (2022) - [j19]Yande Li, Yonggang Lu, Minglun Gong, Li Liu, Ligang Zhao:
Dual-channel feature disentanglement for identity-invariant facial expression recognition. Inf. Sci. 608: 410-423 (2022) - [c42]Xiangwen Wang, Yonggang Lu, Jianwei Li, Zequn Zhang:
Unsupervised Heterogeneous Cryo-EM Projection Image Classification Using Autoencoder. BIBM 2022: 3520-3527 - [c41]Ying Guan, Yaru Li, Bin Li, Yonggang Lu:
A Clustering Method Based on Improved Density Estimation and Shared Nearest Neighbors. ICIC (3) 2022: 18-31 - 2021
- [j18]Yande Li, Kun Guo, Yonggang Lu, Li Liu:
Cropping and attention based approach for masked face recognition. Appl. Intell. 51(5): 3012-3025 (2021) - [j17]Xin Hong, Hailin Li, Paul Miller, Jianjiang Zhou, Ling Li, Danny Crookes, Yonggang Lu, Xuelong Li, Huiyu Zhou:
Component-Based Feature Saliency for Clustering. IEEE Trans. Knowl. Data Eng. 33(3): 882-896 (2021) - [c40]Xiangwen Wang, Yonggang Lu:
Heterogeneous Cryo-EM Projection Image Classification Based on Common Lines. BIBM 2021: 163-166 - [c39]Yaru Li, Yue Xi, Yonggang Lu:
Improving the Grid-based Clustering by Identifying Cluster Center Nodes and Boundary Nodes Adaptively. ICPRAM 2021: 182-189 - [c38]Xiang Zhang, Yonggang Lu, Jiani Liu:
Object Tracking using Correction Filter Method with Adaptive Feature Selection. ICPRAM 2021: 480-487 - [c37]Shihua Xiong, Yonggang Lu:
Improve Semantic Correspondence by Filtering the Correlation Scores in both Image Space and Hough Space. PRCV (2) 2021: 385-396 - 2020
- [j16]Guo Chen, Yonggang Lu:
Fast-Moving Sound Source Tracking With Relative Doppler Stretch. IEEE Access 8: 221269-221277 (2020) - [c36]Yue Xi, Yonggang Lu:
Multi-stage Hierarchical Clustering Method Based on Hypergraph. ICIC (3) 2020: 432-443 - [c35]Jiani Liu, Xiang Zhang, Yonggang Lu:
Improving the Training of Convolutional Neural Network using Between-class Distance. IJCCI 2020: 361-367
2010 – 2019
- 2019
- [j15]Huanqian Yan, Lei Wang, Yonggang Lu:
Identifying cluster centroids from decision graph automatically using a statistical outlier detection method. Neurocomputing 329: 348-358 (2019) - [c34]Fan Gao, Yonggang Lu:
Moving Target Detection Using Inter-Frame Difference Methods Combined with Texture Features and Lab Color Space. AIAM (IEEE) 2019: 76-81 - [c33]Xiangwen Wang, Yonggang Lu, Zhenyu Lu, Xingcheng Ran, Jiaxuan Liu:
A Weighted Voting Algorithm for Detecting Reliable Common Lines in Single Particle Cryo-EM. BIBM 2019: 98-101 - [c32]Xingcheng Ran, Yonggang Lu, Xiangwen Wang, Zhenyu Lu:
Hypergraph Clustering by Generating Large Pure Hyperedges Using Greedy Neighborhood Search. FSDM 2019: 152-159 - [c31]Diqi Pan, Yonggang Lu, Peiyu Kang:
A Deep Learning Model for Multi-label Classification Using Capsule Networks. ICIC (1) 2019: 144-155 - [c30]Peiyu Kang, Yonggang Lu, Diqi Pan, Wenjie Guo:
Improving the Dictionary Construction in Sparse Representation using PCANet for Face Recognition. ICPRAM 2019: 517-523 - [c29]Li Yang, Wenjie Guo, Yonggang Lu, Yi Yang, Lian Li, Zongli Liu:
Text Watermarking for OOXML Format Documents Based on Color Transformation. ISI 2019: 155-157 - [c28]Wenjie Guo, Li Yang, Yonggang Lu, Yi Yang, Lian Li, Zongli Liu:
Information Hiding in OOXML Format Data based on the Splitting of Text Elements. ISI 2019: 188-190 - 2018
- [j14]Fan Liang, Pengjiang Qian, Kuan-Hao Su, Atallah Baydoun, Asha Leisser, Steven Van Hedent, Jung-Wen Kuo, Kaifa Zhao, Parag Parikh, Yonggang Lu, Bryan J. Traughber, Raymond F. Muzic Jr.:
Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach. Artif. Intell. Medicine 90: 34-41 (2018) - [j13]Jing He, Kamal Al-Nasr, Weitao Sun, Yonggang Lu:
Special IssuePreface: The 9th Computational Structural Bioinformatics Workshop. J. Comput. Biol. 25(1): 1-2 (2018) - [j12]Li Li, Huanqian Yan, Yonggang Lu:
Selecting near-native protein structures from ab initio models using ensemble clustering. Quant. Biol. 6(4): 307-312 (2018) - [c27]Xiangyu Jiang, Yonggang Lu, Zhenyu Lu, Huiyu Zhou:
Smartphone-Based Human Activity Recognition Using CNN in Frequency Domain. APWeb/WAIM Workshops 2018: 101-110 - [c26]Lei Wang, Yonggang Lu, Huanqian Yan:
A Fast and Robust Grid-Based Clustering Method for Dataset with Arbitrary Shapes. FSDM 2018: 636-645 - [c25]Qi Wang, Yonggang Lu:
Relationship Between Weight Correlation of the Convolution Kernels and the Optimal Architecture of CNN. FSDM 2018: 653-662 - [c24]Zhijuan Wang, Yonggang Lu:
Improving Initial Model Construction in Single Particle Cryo-EM by Filtering Out Low Quality Projection Images. ICIC (2) 2018: 589-600 - [c23]Huanqian Yan, Yonggang Lu, Heng Ma:
Density-based Clustering using Automatic Density Peak Detection. ICPRAM 2018: 95-102 - 2017
- [j11]Hu Cao, Yonggang Lu:
Using Variable-Length Aligned Fragment Pairs and an Improved Transition Function for Flexible Protein Structure Alignment. J. Comput. Biol. 24(1): 2-12 (2017) - [j10]Haitao Zhang, Guoqiang Li, Daniel Sun, Yonggang Lu, Ching-Hsien Hsu:
Verifying cooperative software: A SMT-based bounded model checking approach for deterministic scheduler. J. Syst. Archit. 81: 7-16 (2017) - [j9]Yonggang Lu, Ye Wei, Li Liu, Jun Zhong, Letian Sun, Ye Liu:
Towards unsupervised physical activity recognition using smartphone accelerometers. Multim. Tools Appl. 76(8): 10701-10719 (2017) - [c22]Xianlong Wang, Yonggang Lu, Dachuan Wang, Li Liu, Huiyu Zhou:
Using Jaccard Distance Measure for Unsupervised Activity Recognition with Smartphone Accelerometers. APWeb/WAIM Workshops 2017: 74-83 - [c21]Tian Wang, Yonggang Lu, Yuxuan Han:
Clustering of High Dimensional Handwritten Data by an Improved Hypergraph Partition Method. ICIC (3) 2017: 323-334 - [c20]Yonggang Lu, Jiangang Qiao, Xiaochun Wang:
K-normal: An Improved K-means for Dealing with Clusters of Different Sizes. ICIC (3) 2017: 335-344 - [c19]Huanqian Yan, Yonggang Lu, Li Li:
A Potential-Based Density Estimation Method for Clustering Using Decision Graph. IDEAL 2017: 73-82 - [c18]Haitao Zhang, Zhuo Cheng, Jianxin Xue, Yonggang Lu:
Boosting Uppaal for OSEK/VDX Applications with a Sequentialization Approach. SOFL+MSVL 2017: 51-68 - 2016
- [j8]Yonggang Lu, Xiaoli Hou, Xurong Chen:
A novel travel-time based similarity measure for hierarchical clustering. Neurocomputing 173: 3-8 (2016) - [c17]Haitao Zhang, Zhuo Cheng, Cong Tian, Yonggang Lu, Guoqiang Li:
Verifying OSEK/VDX applications: An optimized SMT-based bounded model checking approach. ICIS 2016: 1-6 - [c16]Xingmei Liu, Yonggang Lu, Hu Cao:
Non-sequential protein structure alignment based on variable length AFPs using the maximal clique. BIBM 2016: 1720-1725 - [c15]Jinyang Yan, Yonggang Lu, Jing He:
Selecting near-native structures from decoys using maximal cliques. BIBM 2016: 1745-1748 - [c14]Xili Sun, Yonggang Lu:
Locally Linear Embedding based on Rank-order Distance. ICPRAM 2016: 162-169 - [c13]Heng Ma, Yonggang Lu, Haitao Zhang:
Determining the Near Optimal Architecture of Autoencoder using Correlation Analysis of the Network Weights. IJCCI (NCTA) 2016: 53-61 - [c12]Haitao Zhang, Yonggang Lu:
SMT-based Bounded Model Checking for Cooperative Software with a Deterministic Scheduler. SOFL+MSVL 2016: 181-200 - [c11]Dachuan Wang, Li Liu, Xianlong Wang, Yonggang Lu:
A Novel Feature Extraction Method on Activity Recognition Using Smartphone. WAIM Workshops 2016: 67-76 - 2015
- [c10]Hu Cao, Yonggang Lu:
Flexible protein structure alignment by variable-length Aligned Fragment Pairs. BIBM 2015: 1280-1286 - [c9]Ye Wei, Li Liu, Jun Zhong, Yonggang Lu, Letian Sun:
Unsupervised Race Walking Recognition Using Smartphone Accelerometers. KSEM 2015: 691-702 - 2014
- [c8]Yonggang Lu, Xiaoli Hou, Xurong Chen:
Measuring Cluster Similarity by the Travel Time between Data Points. ICPRAM 2014: 14-20 - [c7]Jun Zhong, Li Liu, Ye Wei, Dashi Luo, Letian Sun, Yonggang Lu:
Personalized Activity Recognition Using Molecular Complex Detection Clustering. UIC/ATC/ScalCom 2014: 850-854 - [c6]Changjie Hu, Xiaoli Hou, Yonggang Lu:
Improving the Architecture of an Autoencoder for Dimension Reduction. UIC/ATC/ScalCom 2014: 855-858 - 2013
- [j7]Yonggang Lu, Yi Wan:
PHA: A fast potential-based hierarchical agglomerative clustering method. Pattern Recognit. 46(5): 1227-1239 (2013) - [j6]Ji Luo, Jun Yao, Yonggang Lu, Wenying Ma, Xuye Zhuang:
A Silver Nanoparticle-Modified Evanescent Field Optical Fiber Sensor for Methylene Blue Detection. Sensors 13(3): 3986-3997 (2013) - [c5]Xiwei Chen, Li Liu, Dashi Luo, Guandong Xu, Yonggang Lu, Ming Liu, Rongmin Gao:
A Spectral Clustering Algorithm Based on Hierarchical Method. ADMI 2013: 111-123 - [c4]Chaojie Yu, Binling Jin, Yonggang Lu, Xiwei Chen, Zhengming Yi, Kai Zhang, Shaoliang Wang:
Multi-threshold Image Segmentation Based on Firefly Algorithm. IIH-MSP 2013: 415-419 - 2012
- [j5]Yonggang Lu, Yi Wan:
Clustering by Sorting Potential Values (CSPV): A novel potential-based clustering method. Pattern Recognit. 45(9): 3512-3522 (2012)
2000 – 2009
- 2008
- [j4]Yonggang Lu, Jing He, Charlie E. M. Strauss:
Deriving Topology and Sequence Alignment for the Helix Skeleton in Low-Resolution protein Density Maps. J. Bioinform. Comput. Biol. 6(1): 183-201 (2008) - 2007
- [j3]Alessandro Dal Palù, Enrico Pontelli, Jing He, Yonggang Lu:
A Constraint Logic Programming approach to associate 1D and 3D structural components for large protein complexes. Int. J. Data Min. Bioinform. 1(4): 352-371 (2007) - [c3]Yonggang Lu, Jing He, Charlie E. M. Strauss:
Deriving Protein Structure Topology from the Helix Skeletion in Low Resolution Density Map using Rosetta. APBC 2007: 143-151 - 2006
- [j2]Yonggang Lu, Akram Aldroubi, John C. Gore, Adam W. Anderson, Zhaohua Ding:
Improved fiber tractography with Bayesian tensor regularization. NeuroImage 31(3): 1061-1074 (2006) - [j1]Arabinda Mishra, Yonggang Lu, Jingjing Meng, Adam W. Anderson, Zhaohua Ding:
Unified framework for anisotropic interpolation and smoothing of diffusion tensor images. NeuroImage 31(4): 1525-1535 (2006) - [c2]Alessandro Dal Palù, Enrico Pontelli, Jing He, Yonggang Lu:
A constraint logic programming approach to 3D structure determination of large protein complexes. SAC 2006: 131-136 - 2005
- [p1]Jing He, Yonggang Lu:
Using the Length Constraints of Helix to Evaluate protein secondary Structure Prediction for Helix. Advances in Bioinformatics and Its Applications 2005 - 2004
- [c1]Jing He, Yonggang Lu, Enrico Pontelli:
A Parallel Algorithm for Helix Mapping Between 3D and 1D Protein Structure Using the Length Constraints. ISPA 2004: 746-756
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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