Xuequn Shang

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 132

Top Venues

Otto-von-Guericke University Magdeburg, Germany (PHD)

Education History

Otto-von-Guericke University Magdeburg, Germany

PHD

Publications

Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection. ICDE (2024)
Haohui Zhang, Yuwei Wang, Bin Lian, Yiran Wang, Xingyi Li, Tao Wang, Xuequn Shang, Hui Yang, Ahmad Aziz, Jialu Hu
Scbean: a python library for single-cell multi-omics data analysis. Bioinform. 40 (2) (2024)
Lingyun Song, Siyu Chen, Ziyang Meng, Mingxuan Sun, Xuequn Shang
FMSA-SC: A Fine-Grained Multimodal Sentiment Analysis Dataset Based on Stock Comment Videos. IEEE Trans. Multim. 26 (2024)
Xiaolin Han, Tobias Grubenmann, Chenhao Ma, Xiaodong Li, Wenya Sun, Sze Chun Wong, Xuequn Shang, Reynold Cheng
FDM: Effective and efficient incident detection on sparse trajectory data. Inf. Syst. 125 (2024)
Tao Wang, Han Shu, Jialu Hu, Yongtian Wang, Jin Chen, Jiajie Peng, Xuequn Shang
Accurately deciphering spatial domains for spatially resolved transcriptomics with stCluster. Briefings Bioinform. 25 (4) (2024)
Yupei Zhang, Yuxin Li, Yifei Wang, Shuangshuang Wei, Yunan Xu, Xuequn Shang
Federated learning-outcome prediction with multi-layer privacy protection. Frontiers Comput. Sci. 18 (6) (2024)
Jie Liu, Xuequn Shang, Xiaolin Han, Wentao Zhang, Hongzhi Yin
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs. CoRR (2024)
Lingyun Song, Haodong Li, Yacong Tan, Zhanhuai Li, Xuequn Shang
Enhancing Enterprise Credit Risk Assessment with Cascaded Multi-level Graph Representation Learning. Neural Networks 169 (2024)
Yue Yun, Huan Dai, Rui An, Yupei Zhang, Xuequn Shang
Doubly constrained offline reinforcement learning for learning path recommendation. Knowl. Based Syst. 284 (2024)
Tao Wang, Zhihao Yan, Yiming Zhang, Zhuofei Lou, Xiaozhu Zheng, Duoduo Mai, Yongtian Wang, Xuequn Shang, Bing Xiao, Jiajie Peng, Jin Chen
postGWAS: A web server for deciphering the causality post the genome-wide association studies. Comput. Biol. Medicine 171 (2024)
Huan Dai, Yupei Zhang, Yue Yun, Rui An, Wenxin Zhang, Xuequn Shang
Adaptive meta-knowledge dictionary learning for incremental knowledge tracing. Eng. Appl. Artif. Intell. 132 (2024)
Lingyun Song, Xuequn Shang, Ruizhi Zhou, Jun Liu, Jie Ma, Zhanhuai Li, Mingxuan Sun
A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning. Neural Networks 179 (2024)
Jie Liu, Mengting He, Guangtao Wang, Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin
Imbalanced Node Classification Beyond Homophilic Assumption. CoRR (2023)
Yupei Zhang, Rui An, Shuhui Liu, Jiaqi Cui, Xuequn Shang
Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks. IEEE Trans. Big Data 9 (1) (2023)
Mengfei Liu, Shuangshuang Wei, Shuhui Liu, Xuequn Shang, Yupei Zhang
Course-Graph Discovery from Academic Performance Using Nonnegative LassoNet. ICCSE (3) (2023)
Lingyun Song, Jianao Li, Jun Liu, Yang Yang, Xuequn Shang, Mingxuan Sun
Answering knowledge-based visual questions via the exploration of Question Purpose. Pattern Recognit. 133 (2023)
Yan Zheng, Xuequn Shang, Wing-Kin Sung
SVsearcher: A more accurate structural variation detection method in long read data. Comput. Biol. Medicine 158 (2023)
Jie Liu, Lingyun Song, Guangtao Wang, Xuequn Shang
Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding. Neural Networks 157 (2023)
Guoren Wang, Yue Zeng, Rong-Hua Li, Hongchao Qin, Xuanhua Shi, Yubin Xia, Xuequn Shang, Liang Hong
Temporal Graph Cube. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection. CoRR (2023)
Xingyi Li, Xuequn Shang, Zhelin Zhao, Chenzhuo Yan
A personalized pathway activation inference method based on pathway structure for classification of inflammatory bowel disease. BIBM (2023)
Yupei Zhang, Rui An, Wenxin Zhang, Shuhui Liu, Xuequn Shang
Deep Knowledge Tracing with Concept Trees. ADMA (2) (2023)
Xiran Qu, Xuequn Shang, Yupei Zhang
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks. CoRR (2023)
Lingyun Song, Xuequn Shang, Chen Yang, Mingxuan Sun
Attribute-Guided Multiple Instance Hashing Network for Cross-Modal Zero-Shot Hashing. IEEE Trans. Multim. 25 (2023)
Ye Lei, Yupei Zhang, Yi Lin, Xuequn Shang
Knowledge-Concept Diagnosis from fMRIs by Using a Space-Time Embedding Graph Convolutional Network. WISA (2023)
Yuxin Li, Xuequn Shang, Yupei Zhang
Learning-Disability Recognition by Using Sparse Spatio-Temporal Graph Neural Networks. BIBM (2023)
Yewei Shen, Zhiyuan Wang, Zongyu Li, Xinmeng Liu, Xuequn Shang, Yongtian Wang
Enhanced RNA Sequence Representation through Sequence Masking and Subsequence Consistency Optimization. BIBM (2023)
Yupei Zhang, Yuxin Li, Yifei Wang, Shuangshuang Wei, Yunan Xu, Xuequn Shang
Federated learning-outcome prediction with multi-layer privacy protection. CoRR (2023)
Yan Zheng, Xuequn Shang
SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data. BMC Bioinform. 24 (1) (2023)
Yongtian Wang, Li Li, Yewei Shen, Yizhuo Zhang, Yuhe Zhang, Xuequn Shang
Deep Learning Integration with Phenotypic Similarities and Heterogeneous Networks for Drug-Target Interaction Prediction. BIBM (2023)
Yupei Zhang, Yunan Xu, Shuangshuang Wei, Yifei Wang, Yuxin Li, Xuequn Shang
Doubly contrastive representation learning for federated image recognition. Pattern Recognit. 139 (2023)
Yongtian Wang, Xinmeng Liu, Yewei Shen, Xuerui Song, Tao Wang, Xuequn Shang, Jiajie Peng
Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information. Briefings Bioinform. 24 (2) (2023)
Shuhui Liu, Yupei Zhang, Xuequn Shang
GLassonet: Identifying Discriminative Gene Sets Among Molecular Subtypes of Breast Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (3) (2023)
Lingyun Song, Mengting He, Xuequn Shang, Chen Yang, Jun Liu, Mengzhen Yu, Yu Lu
A deep cross-modal neural cognitive diagnosis framework for modeling student performance. Expert Syst. Appl. 230 (2023)
Yuwei Wang, Bin Lian, Haohui Zhang, Yuanke Zhong, Jie He, Fashuai Wu, Knut Reinert, Xuequn Shang, Hui Yang, Jialu Hu
A multi-view latent variable model reveals cellular heterogeneity in complex tissues for paired multimodal single-cell data. Bioinform. 39 (1) (2023)
Tao Wang, Hengbo Xu, Ranye Zhang, Yifu Xiao, Jiajie Peng, Xuequn Shang
Hypergraph-based Gene Ontology Embedding for Disease Gene Prediction. BIBM (2022)
Ji-Ren Zhou, Zhuhong You, Xuequn Shang, Rui Niu, Yue Yun
Identification of miRNA-lncRNA Underlying Interactions Through Representation for Multiplex Heterogeneous Network. ICIC (2) (2022)
Wei Wang, Ruijiang Han, Menghan Zhang, Yuxian Wang, Tao Wang, Yongtian Wang, Xuequn Shang, Jiajie Peng
A network-based method for brain disease gene prediction by integrating brain connectome and molecular network. Briefings Bioinform. 23 (1) (2022)
Jialu Hu, Yuanke Zhong, Xuequn Shang
A versatile and scalable single-cell data integration algorithm based on domain-adversarial and variational approximation. Briefings Bioinform. 23 (1) (2022)
Yupei Zhang, Yunan Xu, Rui An, Yuxin Li, Shuhui Liu, Xuequn Shang
. BIBM (2022)
Xingyi Li, Zhelin Zhao, Ju Xiang, Jialu Hu, Xuequn Shang
A multi-source fusion method to identify biomarkers for breast cancer prognosis based on dual-layer heterogeneous network. BIBM (2022)
Yue Yun, Huan Dai, Yupei Zhang, Shuangshuang Wei, Xuequn Shang
Interpretable Educational Recommendation: An Open Framework based on Bayesian Principal Component Analysis. SMC (2022)
Shuhui Liu, Yupei Zhang, Xuequn Shang
Functional Analysis of Molecular Subtypes with Deep Similarity Learning Model Based on Multi-omics Data. ICIC (2) (2022)
Li Gao, Lingyun Song, Jie Liu, Bolin Chen, Xuequn Shang
Topology Imbalance and Relation Inauthenticity Aware Hierarchical Graph Attention Networks for Fake News Detection. COLING (2022)
Yupei Zhang, Yaya Zhou, Shuhui Liu, Wenxin Zhang, Min Xiao, Xuequn Shang
WeStcoin: Weakly-Supervised Contextualized Text Classification with Imbalance and Noisy Labels. ICPR (2022)
Wenxin Zhang, Yupei Zhang, Shuhui Liu, Xuequn Shang
Online Deep Knowledge Tracing. ICDM (Workshops) (2022)
Jie Liu, Lingyun Song, Li Gao, Xuequn Shang
MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract). AAAI (2022)
Tao Wang, Yongzhuang Liu, Quanwei Yin, Jiaquan Geng, Jin Chen, Xipeng Yin, Yongtian Wang, Xuequn Shang, Chunwei Tian, Yadong Wang, Jiajie Peng
Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation. Briefings Bioinform. 23 (1) (2022)
Caiwei Zhen, Yuxian Wang, Jiaquan Geng, Lu Han, Jingyi Li, Jinghao Peng, Tao Wang, Jianye Hao, Xuequn Shang, Zhongyu Wei, Peican Zhu, Jiajie Peng
A review and performance evaluation of clustering frameworks for single-cell Hi-C data. Briefings Bioinform. 23 (6) (2022)
Lingyun Song, Mengzhen Yu, Xuequn Shang, Yu Lu, Jun Liu, Ying Zhang, Zhanhuai Li
A deep grouping fusion neural network for multimedia content understanding. IET Image Process. 16 (9) (2022)
Tao Wang, Yongzhuang Liu, Quanwei Yin, Jiaquan Geng, Jin Chen, Xipeng Yin, Yongtian Wang, Xuequn Shang, Chunwei Tian, Yadong Wang, Jiajie Peng
Correction to: Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation. Briefings Bioinform. 23 (3) (2022)
Yupei Zhang, Shuangshuang Wei, Shuhui Liu, Yifei Wang, Yunan Xu, Yuxin Li, Xuequn Shang
Graph-regularized federated learning with shareable side information. Knowl. Based Syst. 257 (2022)
Jiajie Peng, Jinjin Yang, D. Vijay Anand, Xuequn Shang, Kelin Xia
Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis. Frontiers Comput. Sci. 16 (4) (2022)
Huan Dai, Yue Yun, Yupei Zhang, Wenxin Zhang, Xuequn Shang
Contrastive Deep Knowledge Tracing. AIED (2) (2022)
Meihong Gao, Shuhui Liu, Yang Qi, Xinpeng Guo, Xuequn Shang
GAE-LGA: integration of multi-omics data with graph autoencoders to identify lncRNA-PCG associations. Briefings Bioinform. 23 (6) (2022)
Tao Wang, Hui Zhao, Yifu Xiao, Hanzi Yang, Xipeng Yin, Yongtian Wang, Bing Xiao, Xuequn Shang, Jiajie Peng
Discovering eQTL Regulatory Patterns Through eQTLMotif. BIBM (2022)
Yupei Zhang, Md Shahedul Islam Khan, Yaya Zhou, Min Xiao, Xuequn Shang
An Effective Chinese Text Classification Method with Contextualized Weak Supervision for Review Autograding. ICIC (3) (2022)
Yupei Zhang, Shuangshuang Wei, Yifei Wang, Yunan Xu, Yuxin Li, Xuequn Shang
A Personalized Federated Learning Framework Using Side Information for Heterogeneous Data Classification. Big Data (2022)
Yupei Zhang, Yunan Xu, Shuangshuang Wei, Yifei Wang, Yuxin Li, Xuequn Shang
Personalized Federated Contrastive Learning. Big Data (2022)
Xinmeng Liu, Yuhe Zhang, Yewei Shen, Xuequn Shang, Yongtian Wang
CircRNA-Disease Association Prediction based on Heterogeneous Graph Representation. BIBM (2022)
Meihong Gao, Xuequn Shang
Identification of lncRNA-related protein-coding genes using multi-omics data based on deep learning and matrix completion. BIBM (2022)
Bo Yang, Yupei Zhang, Shanmin Pang, Xuequn Shang, Xueqing Zhao, Minghui Han
Integrating Multi-Omic Data With Deep Subspace Fusion Clustering for Cancer Subtype Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (1) (2021)
Jiajie Peng, Yuxian Wang, Jiaojiao Guan, Jingyi Li, Ruijiang Han, Jianye Hao, Zhongyu Wei, Xuequn Shang
An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction. Briefings Bioinform. 22 (5) (2021)
Tao Wang, Zhiyuan Shao, Yifu Xiao, Xuchao Zhang, Yitian Chen, Binze Shi, Siyu Chen, Yuxian Wang, Jiajie Peng, Xuequn Shang
Predicting Hepatoma-Related Genes Based on Representation Learning of PPI network and Gene Ontology Annotations. BIBM (2021)
Huan Dai, Yupei Zhang, Yue Yun, Rui An, Xuequn Shang
VarSKD: A Variational Student Knowledge Diagnosis for Efficiently Representing Student Latent Knowledge Space. IEEE BigData (2021)
Bolin Chen, Manting Yang, Xuequn Shang
Identifying functional evolution processes of cancer according to regression residuals network. BIBM (2021)
Yupei Zhang, Yaya Zhou, Min Xiao, Xuequn Shang
Comment Text Grading for Chinese Graduate Academic Dissertation Using Attention Convolutional Neural Networks. ICSAI (2021)
Jiajie Peng, Hansheng Xue, Zhongyu Wei, Idil Tuncali, Jianye Hao, Xuequn Shang
Integrating multi-network topology for gene function prediction using deep neural networks. Briefings Bioinform. 22 (2) (2021)
Shuhui Liu, Yupei Zhang, Xuequn Shang, Zhaolei Zhang
ProTICS reveals prognostic impact of tumor infiltrating immune cells in different molecular subtypes. Briefings Bioinform. 22 (6) (2021)
Yue Yun, Huan Dai, Ruoqi Cao, Yupei Zhang, Xuequn Shang
Self-paced Graph Memory Network for Student GPA Prediction and Abnormal Student Detection. AIED (2) (2021)
Jiajie Peng, Lu Han, Xuequn Shang
A novel method for predicting cell abundance based on single-cell RNA-seq data. BMC Bioinform. (9) (2021)
Huan Dai, Yupei Zhang, Yue Yun, Xuequn Shang
An Improved Deep Model for Knowledge Tracing and Question-Difficulty Discovery. PRICAI (2) (2021)
Lingyun Song, Jun Liu, Mingxuan Sun, Xuequn Shang
Weakly Supervised Group Mask Network for Object Detection. Int. J. Comput. Vis. 129 (3) (2021)
Yupei Zhang, Rui An, Jiaqi Cui, Xuequn Shang
Undergraduate Grade Prediction in Chinese Higher Education Using Convolutional Neural Networks. LAK (2021)
Shuhui Liu, Yupei Zhang, Jiajie Peng, Xuequn Shang
DCAE: Selecting Discriminative Genes on Single-cell RNA-seq Data for Cell-type Quantification. BIBM (2021)
Yan Zheng, Yuanke Zhong, Jialu Hu, Xuequn Shang
SCC: an accurate imputation method for scRNA-seq dropouts based on a mixture model. BMC Bioinform. 22 (1) (2021)
Bolin Chen, Li Gao, Xuequn Shang
A Machine Learning Based Method to Identify Differentially Expressed Genes. ICIC (2) (2020)
Yupei Zhang, Huan Dai, Yue Yun, Shuhui Liu, Andrew S. Lan, Xuequn Shang
Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis. Knowl. Based Syst. 205 (2020)
Bolin Chen, Teng Wang, Xuequn Shang
Identification and Analysis of Genes Involved in Stages of Colon Cancer. ICIC (2) (2020)
Samer Abdulateef, Naseer Ahmed Khan, Bolin Chen, Xuequn Shang
Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy. Inf. 11 (2) (2020)
Bolin Chen, Manting Yang, Li Gao, Tao Jiang, Xuequn Shang
A functional network construction method to interpret the pathological process of colorectal cancer. Int. J. Data Min. Bioinform. 23 (3) (2020)
Yang Qi, Yang Guo, Huixin Jiao, Xuequn Shang
A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data. BMC Bioinform. 21 (1) (2020)
Jiajie Peng, Jingyi Li, Xuequn Shang
A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network. BMC Bioinform. (13) (2020)
Yuanke Zhong, Jing Li, Junhao He, Yiqun Gao, Jie Liu, Jingru Wang, Xuequn Shang, Jialu Hu
Twadn: an efficient alignment algorithm based on time warping for pairwise dynamic networks. BMC Bioinform. (13) (2020)
Xinpeng Guo, Yanli Lu, Zhilei Yin, Xuequn Shang
IPMM: Cancer Subtype Clustering Model Based on Multiomics Data and Pathway and Motif Information. ADMA (2020)
Jiajie Peng, Junya Lu, Donghee Hoh, Ayesha S. Dina, Xuequn Shang, David M. Kramer, Jin Chen
Identifying emerging phenomenon in long temporal phenotyping experiments. Bioinform. 36 (2) (2020)
Samer Abdulateef, Naseer Ahmed Khan, Bolin Chen, Xuequn Shang
Machine Learning Based Sentiment Text Classification for Evaluating Treatment Quality of Discharge Summary. Inf. 11 (5) (2020)
Jiajie Peng, Guilin Lu, Hansheng Xue, Tao Wang, Xuequn Shang
TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology. BMC Bioinform. (18) (2019)
Shiquan Sun, Yang Liu, Xuequn Shang
Deep generative autoencoder for low-dimensional embeding extraction from single-cell RNAseq data. BIBM (2019)
Bolin Chen, Chaima Aouiche, Xuequn Shang
Integrating Multiple Datasets to Discover Stage-Specific Cancer Related Genes and Stage-Specific Pathways. IWBBIO (1) (2019)
Bolin Chen, Li Gao, Xuequn Shang
Identifying Differentially Expressed Genes Based on Differentially Expressed Edges. ICIC (2) (2019)
Chaima Aouiche, Bolin Chen, Xuequn Shang
Predicting stage-specific cancer related genes and their dynamic modules by integrating multiple datasets. BMC Bioinform. (7) (2019)
Yupei Zhang, Huan Dai, Yue Yun, Xuequn Shang
Student Knowledge Diagnosis on Response Data via the Model of Sparse Factor Learning. EDM (2019)
Hansheng Xue, Jiajie Peng, Jiying Li, Xuequn Shang
Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding. CIKM (2019)
Jiajie Peng, Xiaoyu Wang, Xuequn Shang
Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data. BMC Bioinform. (8) (2019)
Hansheng Xue, Jiajie Peng, Xuequn Shang
Towards Gene Function Prediction via Multi-Networks Representation Learning. AAAI (2019)
Jialu Hu, Yiqun Gao, Jing Li, Yan Zheng, Jingru Wang, Xuequn Shang
A novel algorithm based on bi-random walks to identify disease-related lncRNAs. BMC Bioinform. (18) (2019)
Jialu Hu, Jingru Wang, Jianan Lin, Tianwei Liu, Yuanke Zhong, Jie Liu, Yan Zheng, Yiqun Gao, Junhao He, Xuequn Shang
MD-SVM: a novel SVM-based algorithm for the motif discovery of transcription factor binding sites. BMC Bioinform. (7) (2019)
Yuanke Zhong, Jing Li, Jie Liu, Yan Zheng, Xuequn Shang, Jialu Hu
Deep learning enables accurate alignment of single cell RNA-seq data. BIBM (2019)
Jiajie Peng, Lu Han, Xuequn Shang
A deconvolution method for predicting cell abundance based on single cell RNA-seq data. BIBM (2019)

Xuequn Shang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xuequn Shang