A Parallel Algorithm for Helix Mapping Between 3D and 1D Protein Structure Using the Length Constraints. - Jing He 002; Yonggang Lu; Enrico Pontelli (ISPA, 2004)

Using the Length Constraints of Helix to Evaluate protein secondary Structure Prediction for Helix. - Jing He 002; Yonggang Lu (Advances in Bioinformatics and Its Applications, 2005)

A constraint logic programming approach to 3D structure determination of large protein complexes. - Alessandro Dal Palù; Enrico Pontelli; Jing He 002; Yonggang Lu (SAC, 2006)

Improved fiber tractography with Bayesian tensor regularization. - Yonggang Lu; Akram Aldroubi; John C. Gore; Adam W. Anderson; Zhaohua Ding (NeuroImage, 2006)

Unified framework for anisotropic interpolation and smoothing of diffusion tensor images. - Arabinda Mishra; Yonggang Lu; Jingjing Meng; Adam W. Anderson; Zhaohua Ding (NeuroImage, 2006)

Deriving Protein Structure Topology from the Helix Skeletion in Low Resolution Density Map using Rosetta. - Yonggang Lu; Jing He 002; Charlie E. M. Strauss (APBC, 2007)

A Constraint Logic Programming approach to associate 1D and 3D structural components for large protein complexes. - Alessandro Dal Palù; Enrico Pontelli; Jing He 002; Yonggang Lu (Int. J. Data Min. Bioinform., 2007)

Deriving Topology and Sequence Alignment for the Helix Skeleton in Low-Resolution protein Density Maps. - Yonggang Lu; Jing He 002; Charlie E. M. Strauss (J. Bioinform. Comput. Biol., 2008)

Clustering by Sorting Potential Values (CSPV): A novel potential-based clustering method. - Yonggang Lu; Yi Wan (Pattern Recognit., 2012)

A Spectral Clustering Algorithm Based on Hierarchical Method. - Xiwei Chen; Li Liu 001; Dashi Luo; Guandong Xu; Yonggang Lu; Ming Liu 007; Rongmin Gao (ADMI, 2013)

Multi-threshold Image Segmentation Based on Firefly Algorithm. - Chaojie Yu; Binling Jin; Yonggang Lu; Xiwei Chen; Zhengming Yi; Kai Zhang; Shaoliang Wang (IIH-MSP, 2013)

PHA: A fast potential-based hierarchical agglomerative clustering method. - Yonggang Lu; Yi Wan (Pattern Recognit., 2013)

A Silver Nanoparticle-Modified Evanescent Field Optical Fiber Sensor for Methylene Blue Detection. - Ji Luo; Jun Yao; Yonggang Lu; Wenying Ma; Xuye Zhuang (Sensors, 2013)

Measuring Cluster Similarity by the Travel Time between Data Points. - Yonggang Lu; Xiaoli Hou; Xurong Chen (ICPRAM, 2014)

Improving the Architecture of an Autoencoder for Dimension Reduction. - Changjie Hu; Xiaoli Hou; Yonggang Lu (UIC/ATC/ScalCom, 2014)

Personalized Activity Recognition Using Molecular Complex Detection Clustering. - Jun Zhong; Li Liu 001; Ye Wei; Dashi Luo; Letian Sun; Yonggang Lu (UIC/ATC/ScalCom, 2014)

Flexible protein structure alignment by variable-length Aligned Fragment Pairs. - Hu Cao; Yonggang Lu (BIBM, 2015)

Unsupervised Race Walking Recognition Using Smartphone Accelerometers. - Ye Wei; Li Liu 001; Jun Zhong; Yonggang Lu; Letian Sun (KSEM, 2015)

Verifying OSEK/VDX applications: An optimized SMT-based bounded model checking approach. - Haitao Zhang; Zhuo Cheng; Cong Tian; Yonggang Lu; Guoqiang Li 001 (ICIS, 2016)

Non-sequential protein structure alignment based on variable length AFPs using the maximal clique. - Xingmei Liu; Yonggang Lu; Hu Cao (BIBM, 2016)

Selecting near-native structures from decoys using maximal cliques. - Jinyang Yan; Yonggang Lu; Jing He 002 (BIBM, 2016)

Locally Linear Embedding based on Rank-order Distance. - Xili Sun; Yonggang Lu (ICPRAM, 2016)

Determining the Near Optimal Architecture of Autoencoder using Correlation Analysis of the Network Weights. - Heng Ma; Yonggang Lu; Haitao Zhang (IJCCI (NCTA), 2016)

SMT-based Bounded Model Checking for Cooperative Software with a Deterministic Scheduler. - Haitao Zhang; Yonggang Lu (SOFL+MSVL, 2016)

A Novel Feature Extraction Method on Activity Recognition Using Smartphone. - Dachuan Wang; Li Liu 001; Xianlong Wang; Yonggang Lu (WAIM Workshops, 2016)

A novel travel-time based similarity measure for hierarchical clustering. - Yonggang Lu; Xiaoli Hou; Xurong Chen (Neurocomputing, 2016)

Using Jaccard Distance Measure for Unsupervised Activity Recognition with Smartphone Accelerometers. - Xianlong Wang; Yonggang Lu; Dachuan Wang; Li Liu 001; Huiyu Zhou 001 (APWeb/WAIM Workshops, 2017)

K-normal: An Improved K-means for Dealing with Clusters of Different Sizes. - Yonggang Lu; Jiangang Qiao; Xiaochun Wang (ICIC (3), 2017)

Clustering of High Dimensional Handwritten Data by an Improved Hypergraph Partition Method. - Tian Wang; Yonggang Lu; Yuxuan Han (ICIC (3), 2017)

A Potential-Based Density Estimation Method for Clustering Using Decision Graph. - Huanqian Yan; Yonggang Lu; Li Li (IDEAL, 2017)

Boosting Uppaal for OSEK/VDX Applications with a Sequentialization Approach. - Haitao Zhang; Zhuo Cheng; Jianxin Xue; Yonggang Lu (SOFL+MSVL, 2017)

Using Variable-Length Aligned Fragment Pairs and an Improved Transition Function for Flexible Protein Structure Alignment. - Hu Cao; Yonggang Lu (J. Comput. Biol., 2017)

Verifying cooperative software: A SMT-based bounded model checking approach for deterministic scheduler. - Haitao Zhang; Guoqiang Li 001; Daniel Sun 004; Yonggang Lu; Ching-Hsien Hsu (J. Syst. Archit., 2017)

Towards unsupervised physical activity recognition using smartphone accelerometers. - Yonggang Lu; Ye Wei; Li Liu 001; Jun Zhong; Letian Sun; Ye Liu 002 (Multim. Tools Appl., 2017)

Smartphone-Based Human Activity Recognition Using CNN in Frequency Domain. - Xiangyu Jiang; Yonggang Lu; Zhenyu Lu 003; Huiyu Zhou 001 (APWeb/WAIM Workshops, 2018)

Relationship Between Weight Correlation of the Convolution Kernels and the Optimal Architecture of CNN. - Qi Wang; Yonggang Lu (FSDM, 2018)

A Fast and Robust Grid-Based Clustering Method for Dataset with Arbitrary Shapes. - Lei Wang; Yonggang Lu; Huanqian Yan (FSDM, 2018)

Improving Initial Model Construction in Single Particle Cryo-EM by Filtering Out Low Quality Projection Images. - Zhijuan Wang; Yonggang Lu (ICIC (2), 2018)

Density-based Clustering using Automatic Density Peak Detection. - Huanqian Yan; Yonggang Lu; Heng Ma (ICPRAM, 2018)

Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach. - 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. (Artif. Intell. Medicine, 2018)

Special IssuePreface: The 9th Computational Structural Bioinformatics Workshop. - Jing He 002; Kamal Al-Nasr; Weitao Sun; Yonggang Lu (J. Comput. Biol., 2018)

Selecting near-native protein structures from ab initio models using ensemble clustering. - Li Li; Huanqian Yan; Yonggang Lu (Quant. Biol., 2018)

Moving Target Detection Using Inter-Frame Difference Methods Combined with Texture Features and Lab Color Space. - Fan Gao; Yonggang Lu (AIAM (IEEE), 2019)

A Weighted Voting Algorithm for Detecting Reliable Common Lines in Single Particle Cryo-EM. - Xiangwen Wang; Yonggang Lu; Zhenyu Lu 003; Xingcheng Ran; Jiaxuan Liu (BIBM, 2019)

Hypergraph Clustering by Generating Large Pure Hyperedges Using Greedy Neighborhood Search. - Xingcheng Ran; Yonggang Lu; Xiangwen Wang; Zhenyu Lu 003 (FSDM, 2019)

A Deep Learning Model for Multi-label Classification Using Capsule Networks. - Diqi Pan; Yonggang Lu; Peiyu Kang (ICIC (1), 2019)

Improving the Dictionary Construction in Sparse Representation using PCANet for Face Recognition. - Peiyu Kang; Yonggang Lu; Diqi Pan; Wenjie Guo (ICPRAM, 2019)

Information Hiding in OOXML Format Data based on the Splitting of Text Elements. - Wenjie Guo; Li Yang; Yonggang Lu; Yi Yang 017; Lian Li 003; Zongli Liu (ISI, 2019)

Text Watermarking for OOXML Format Documents Based on Color Transformation. - Li Yang; Wenjie Guo; Yonggang Lu; Yi Yang 017; Lian Li 003; Zongli Liu (ISI, 2019)

Identifying cluster centroids from decision graph automatically using a statistical outlier detection method. - Huanqian Yan; Lei Wang; Yonggang Lu (Neurocomputing, 2019)

Multi-stage Hierarchical Clustering Method Based on Hypergraph. - Yue Xi; Yonggang Lu (ICIC (3), 2020)

Improving the Training of Convolutional Neural Network using Between-class Distance. - Jiani Liu 003; Xiang Zhang; Yonggang Lu (IJCCI, 2020)

Fast-Moving Sound Source Tracking With Relative Doppler Stretch. - Guo Chen; Yonggang Lu (IEEE Access, 2020)

Heterogeneous Cryo-EM Projection Image Classification Based on Common Lines. - Xiangwen Wang; Yonggang Lu (BIBM, 2021)

Improving the Grid-based Clustering by Identifying Cluster Center Nodes and Boundary Nodes Adaptively. - Yaru Li; Yue Xi; Yonggang Lu (ICPRAM, 2021)

Object Tracking using Correction Filter Method with Adaptive Feature Selection. - Xiang Zhang; Yonggang Lu; Jiani Liu 003 (ICPRAM, 2021)

Improve Semantic Correspondence by Filtering the Correlation Scores in both Image Space and Hough Space. - Shihua Xiong; Yonggang Lu (PRCV (2), 2021)

Cropping and attention based approach for masked face recognition. - Yande Li; Kun Guo; Yonggang Lu; Li Liu 001 (Appl. Intell., 2021)

Component-Based Feature Saliency for Clustering. - Xin Hong; Hailin Li; Paul Miller 003; Jianjiang Zhou; Ling Li 010; Danny Crookes; Yonggang Lu; Xuelong Li 001; Huiyu Zhou 001 (IEEE Trans. Knowl. Data Eng., 2021)

Unsupervised Heterogeneous Cryo-EM Projection Image Classification Using Autoencoder. - Xiangwen Wang; Yonggang Lu; Jianwei Li; Zequn Zhang (BIBM, 2022)

A Clustering Method Based on Improved Density Estimation and Shared Nearest Neighbors. - Ying Guan; Yaru Li; Bin Li; Yonggang Lu (ICIC (3), 2022)

Heterogeneous cryo-EM projection image classification using a two-stage spectral clustering based on novel distance measures. - Xiangwen Wang; Yonggang Lu; Xianghong Lin (Briefings Bioinform., 2022)

MGNet: Mutual-guidance network for few-shot semantic segmentation. - Zhaobin Chang; Yonggang Lu; Xiangwen Wang; Xingcheng Ran (Eng. Appl. Artif. Intell., 2022)

An empirical Bayes approach to incorporating demand intermittency and irregularity into inventory control. - Yuan Ye; Yonggang Lu; Powell Robinson; Arunachalam Narayanan (Eur. J. Oper. Res., 2022)

Dual-channel feature disentanglement for identity-invariant facial expression recognition. - Yande Li; Yonggang Lu; Minglun Gong; Li Liu 001; Ligang Zhao (Inf. Sci., 2022)

Community Detection Using Revised Medoid-Shift Based on KNN. - Jiakang Li; Xiaokang Peng; Jie Hou 004; Wei Ke; Yonggang Lu (ICIC (4), 2023)

Comprehensive survey on hierarchical clustering algorithms and the recent developments. - Xingcheng Ran; Yue Xi; Yonggang Lu; Xiangwen Wang; Zhenyu Lu 003 (Artif. Intell. Rev., 2023)

FER-former: Multi-modal Transformer for Facial Expression Recognition. - Yande Li; Mingjie Wang 002; Minglun Gong; Yonggang Lu; Li Liu 001 (CoRR, 2023)

Community Detection Using Revised Medoid-Shift Based on KNN. - Jie Hou; Jiakang Li; Xiaokang Peng; Wei Ke; Yonggang Lu (CoRR, 2023)

A Comprehensive Review of Community Detection in Graphs. - Songning Lai; Jiakang Li; Yonggang Lu (CoRR, 2023)

Neuropsychological features evaluation of data related to Alzheimer's disease progression using feature selection. - Fadi A. Thabtah; Heba Mohammad; Yonggang Lu; Bo Zhang (Intell. Decis. Technol., 2023)

Skills Expectations in Cybersecurity: Semantic Network Analysis of Job Advertisements. - C. Matt Graham; Yonggang Lu (J. Comput. Inf. Syst., 2023)

A Balanced Triplet Loss for Person Re-Identification. - Zhenyu Lu 003; Yonggang Lu (Int. J. Pattern Recognit. Artif. Intell., 2023)

Enhancing the reliability of image classification using the intrinsic features. - Zhenyu Lu 003; Yonggang Lu (Knowl. Based Syst., 2023)

Few-shot semantic segmentation: a review on recent approaches. - Zhaobin Chang; Yonggang Lu; Xingcheng Ran; Xiong Gao; Xiangwen Wang (Neural Comput. Appl., 2023)

Simple yet effective joint guidance learning for few-shot semantic segmentation. - Zhaobin Chang; Yonggang Lu; Xingcheng Ran; Xiong Gao; Hong Zhao (Appl. Intell., 2023)

Fine-gained Motion Enhancement for action recognition: Focusing on action-related regions. - Xiong Gao; Zhaobin Chang; Yande Li; Xingcheng Ran; Wei Ke; Yonggang Lu (Displays, 2023)

Self-Consistent Semantic Feature Extraction of Image Object Based on Contrastive Learning. - Shanyuan Liu; Jinhui Lv; Ligang Zhao; Zhaobin Chang; Yonggang Lu (ACAI, 2024)

Prediction of Protein-Peptide Binding Residues via Pre-Trained Protein Language Model and Progressive Contrastive Representation Learning. - Jianwei Li; Yonggang Lu; Xiangwen Wang; Zhaobin Chang (BIBM, 2024)

Disentangling the intrinsic feature from the related feature in image classification using knowledge distillation and object replacement. - Zhenyu Lu 003; Yonggang Lu (Expert Syst. Appl., 2024)

A comprehensive review of community detection in graphs. - Jiakang Li; Songning Lai; Zhihao Shuai; Yuan Tan; Yifan Jia 010; Mianyang Yu; Zichen Song; Xiaokang Peng; Ziyang Xu; Yongxin Ni; Haifeng Qiu; Jiayu Yang; et al. (Neurocomputing, 2024)

CANet: Comprehensive Attention Network for video-based action recognition. - Xiong Gao; Zhaobin Chang; Xingcheng Ran; Yonggang Lu (Knowl. Based Syst., 2024)

Orientation Determination of Cryo-EM Projection Images Using Reliable Common Lines and Spherical Embeddings. - Xiangwen Wang; Qiaoying Jin; Li Zou; Xianghong Lin; Yonggang Lu (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

DRNet: Disentanglement and Recombination Network for Few-Shot Semantic Segmentation. - Zhaobin Chang; Xiong Gao; Na Li; Huiyu Zhou 001; Yonggang Lu (IEEE Trans. Circuits Syst. Video Technol., 2024)

A kinetic model for solving a combination optimization problem in ab-initio Cryo-EM 3D reconstruction. - Jiaxuan Liu; Yonggang Lu; Li Zhu (Briefings Bioinform., 2024)

FER-Former: Multimodal Transformer for Facial Expression Recognition. - Yande Li; Mingjie Wang 002; Minglun Gong; Yonggang Lu; Li Liu 001 (IEEE Trans. Multim., 2025)

Multi-prototype collaborative perception enhancement network for few-shot semantic segmentation. - Zhaobin Chang; Xiong Gao; Dongyi Kong; Na Li; Yonggang Lu (Vis. Comput., 2025)