Xuequn Shang

213 papers A* 8A 4B 10C 2Misc 6Journal 116Unranked 66
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multimodal information fusion framework for accurate and robust prediction of drug-drug interactions.
Inf. Fusion
Han-Wu Zhu, Hai-Cheng Yi, Zhu-Hong You, Shi-Hui He, Xuequn Shang
2026 J jnl
DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis.
CoRR
Rui An, Haohao Qu, Wenqi Fan, Xuequn Shang, Qing Li
2026 J jnl
Explainable Anomaly Detection in Dynamic Heterogeneous Graphs via Relation Evolution.
IEEE Trans. Knowl. Data Eng.
Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang
2026 A* conf
KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning.
AAAI
Lingyun Song, Ziyao Chen, Kang Pan, Xiaolin Han, Xinbiao Gan, Yudai Pan, Xiaofan Sun, Xiaoqi Wang, Xuequn Shang
2026 J jnl
Robust spatio-temporal graph neural networks with sparse structure learning.
Pattern Recognit.
Yupei Zhang, Yuxin Li, Shuhui Liu, Xuequn Shang
2026 J jnl
scProGraph: A Cell Bagging Strategy for Cell Type Annotation With Gene Interaction-Aware Explainability.
IEEE Trans. Big Data
Xinyuan Li, Yue-Chao Li, Hai-Ru You, Xuequn Shang, Leon Wong, Zhi-An Huang, Zhu-Hong You, Yu-An Huang
2025 J jnl
A Knowledge Graph Enhanced Pre-Trained Large Language Model for Predicting MicroRNA-circRNA Interactions.
Big Data Min. Anal.
Jiren Zhou, Rui Niu, Boya Ji, Zhuhong You, Xuequn Shang
2025 B conf
AACoT: Chain-of-Thought Fine-Tuning via Associative Memory and Adaptive Error Correction.
ICPADS
Ruiyue Wang, Lingyun Song, Xinbiao Gan, Yudai Pan, Xuequn Shang
2025 J jnl
Attention-aware differential learning for predicting peptide-MHC class I binding and T cell receptor recognition.
Briefings Bioinform.
Rui Niu, Jingwei Wang, Yanli Li, Jiren Zhou, Yang Guo, Xuequn Shang
2025 J jnl
Beyond metaphor: quantitative reconstruction of Waddington landscape and exploration of cellular behavior.
Briefings Bioinform.
Yourui Han, Bolin Chen, Jinlei Zhang, Xuequn Shang
2025 J jnl
CREATE: a novel attention-based framework for efficient classification of transposable elements.
Briefings Bioinform.
Yang Qi, Yiqi Chen, Yingfu Wu, Yang Guo, Meihong Gao, Fuhao Zhang, Xingyu Liao, Xuequn Shang
2025 J jnl
Cross-modal multi-relational graph reasoning: A novel model for multimodal textbook comprehension.
Inf. Fusion
Lingyun Song, Wenqing Du, Xiaolin Han, Xinbiao Gan, Xiaoqi Wang, Xuequn Shang
2025 J jnl
Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction.
CoRR
Rui An, Yifeng Zhang, Ziran Liang, Wenqi Fan, Yuxuan Liang, Xuequn Shang, Qing Li
2025 J jnl
Deep graph convolutional network-based multi-omics integration for cancer driver gene identification.
Briefings Bioinform.
Yingzhuo Wu, Jialuo Xu, Junming Li, Jia Gu, Xuequn Shang, Xingyi Li
2025 J jnl
DualMarker: A Multi-Source Fusion Identification Method for Prognostic Biomarkers of Breast Cancer Based on Dual-Layer Heterogeneous Network.
IEEE Trans. Comput. Biol. Bioinform.
Xingyi Li, Gaoyuan Du, Zhelin Zhao, Junming Li, Ju Xiang, Jialu Hu, Xuequn Shang
2025 J jnl
Federated Deep Subspace Clustering.
CoRR
Yupei Zhang, Ruojia Feng, Yifei Wang, Xuequn Shang
2025 J jnl
Federated Discriminative Representation Learning for Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Yupei Zhang, Yifei Wang, Yuxin Li, Yunan Xu, Shuangshuang Wei, Shuhui Liu, Xuequn Shang
2025 J jnl
Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare.
Inf. Fusion
Jialun Wu, Kai He, Rui Mao, Xuequn Shang, Erik Cambria
2025 J jnl
Hypergraph-Enhanced Multi-Granularity Stochastic Weight Completion in Sparse Road Networks.
ACM Trans. Knowl. Discov. Data
Xiaolin Han, Yikun Zhang, Chenhao Ma, Xuequn Shang, Reynold Cheng, Tobias Grubenmann, Xiaodong Li
2025 J jnl
Inference of gene coexpression networks from single-cell transcriptome data based on variance decomposition analysis.
Briefings Bioinform.
Bin Lian, Haohui Zhang, Tao Wang, Yongtian Wang, Xuequn Shang, N. Ahmad Aziz, Jialu Hu
2025 J jnl
Integrative Graph-Based Framework for Predicting circRNA Drug Resistance Using Disease Contextualization and Deep Learning.
IEEE J. Biomed. Health Informatics
Yongtian Wang, Wenkai Shen, Yewei Shen, Shang Feng, Tao Wang, Xuequn Shang, Jiajie Peng
2025 — conf
Learning Path Planning via Prior-Guided Reinforcement Learning.
AIED (6)
Mengfei Liu, Xian-Sheng Hua, Xuequn Shang, Yupei Zhang
2025 — conf
LoFT-TCR: A LoRA-Based Fine-Tuning Framework for TCR-Antigen Binding Prediction.
BIBM
Rui Niu, Xiaoying Kong, Xuequn Shang
2025 J jnl
Local-Global Structure-Aware Geometric Equivariant Graph Representation Learning for Predicting Protein-Ligand Binding Affinity.
IEEE Trans. Neural Networks Learn. Syst.
Shihong Chen, Haicheng Yi, Zhuhong You, Xuequn Shang, Yu-An Huang, Lei Wang, Zhen Wang
2025 A* conf
Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under Large Language Model Supervision.
WWW
Yudai Pan, Jiajie Hong, Tianzhe Zhao, Lingyun Song, Jun Liu, Xuequn Shang
2025 J jnl
MAEST: accurately spatial domain detection in spatial transcriptomics with graph masked autoencoder.
Briefings Bioinform.
Pengfei Zhu, Han Shu, Yongtian Wang, Xiaofeng Wang, Yuan Zhao, Jialu Hu, Jiajie Peng, Xuequn Shang, Zhen Tian, Jing Chen, Tao Wang
2025 A* conf
Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction.
IJCAI
Lingyun Song, Xiaofan Sun, Xinbiao Gan, Yudai Pan, Xiaolin Han, Jie Ma, Jun Liu, Xuequn Shang
2025 A* conf
Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning.
IJCAI
Lingyun Song, Haodong Li, Siyu Chen, Xinbiao Gan, Binze Shi, Jie Ma, Yudai Pan, Xiaoqi Wang, Xuequn Shang
2025 — conf
Multi-Task Learning Framework for Cancer Driver Gene Identification on Multi-Network and Multi-OMICS Data.
BIBM
Yu Wang, Jialuo Xu, Junming Li, Xuequn Shang, Jia Gu, Xingyi Li
2025 J jnl
Multi-instance discriminative contrastive learning for brain image representation.
Neural Comput. Appl.
Yupei Zhang, Shuhui Liu, Xiran Qu, Xuequn Shang
2025 J jnl
Multiscale Weisfeiler-Leman Directed Graph Neural Networks for Prerequisite-Link Prediction.
IEEE Trans. Knowl. Data Eng.
Yupei Zhang, Xiran Qu, Shuhui Liu, Yan Pang, Xuequn Shang
2025 — conf
PLMTox: Low-Rank Adaptation on Protein Language Models for Peptide Toxicity Prediction.
BIBM
Xiaoqi Wang, Chen Liu, Wenjie Du, Lingyun Song, Zilin Ren, Xuequn Shang
2025 J jnl
PathActMarker: an R package for inferring pathway activity of complex diseases.
Frontiers Comput. Sci.
Xingyi Li, Jun Hao, Zhelin Zhao, Junming Li, Xingyu Liao, Min Li, Xuequn Shang
2025 — conf
RADIO: Effective and Efficient Anomalous Subgraph Discovery in Financial Networks.
DASFAA (2)
Xiaolin Han, Yikun Zhang, Chenhao Ma, Lingyun Song, Xuequn Shang
2025 — conf
ReadGraph: Relational Evolution Enhanced Anomaly Detection in Dynamic Heterogeneous Graph.
WWW (Companion Volume)
Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang
2025 — conf
STAR: Spatio-Temporal Trajectory Recovery for Sparse and Uncertain Marine Trajectories.
DASFAA (6)
Xiaolin Han, Songliang Bai, Gaukhar Issayeva, Chenhao Ma, Fang Li, Xuequn Shang
2025 A conf
STORM: Spatio-Temporal Similar Trajectory Retrieval on Non-Uniform Maritime Data.
CIKM
Xiaolin Han, Yonghao Zhou, Chenhao Ma, Fang Li, Xuequn Shang
2025 A* conf
STREAM: Hierarchical Dynamic Traffic Pattern Inference for Sparse Trajectory Recovery.
ICDM
Xiaolin Han, Tianwen Zhang, Yuke Li, Gaukhar Issayeva, Chenhao Ma, Lingyun Song, Xuequn Shang
2025 — conf
TempASD: Temporal Anomalous Subgraph Discovery in Large-Scale Dynamic Financial Networks.
KDD (2)
Xiaolin Han, Yikun Zhang, Chenhao Ma, Lingyun Song, Reynold Cheng, Xuequn Shang
2025 J jnl
Towards simplified graph neural networks for identifying cancer driver genes in heterophilic networks.
Briefings Bioinform.
Xingyi Li, Jialuo Xu, Junming Li, Jia Gu, Xuequn Shang
2025 J jnl
cfMethylPre: deep transfer learning enhances cancer detection based on circulating cell-free DNA methylation profiling.
Briefings Bioinform.
Xuchao Zhang, Jing Chen, Yongtian Wang, Xiaofeng Wang, Jialu Hu, Jiajie Peng, Xuequn Shang, Yanpu Wang, Tao Wang
2025 J jnl
scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling.
CoRR
Yu-An Huang, Xiyue Cao, Zhu-Hong You, Yue-Chao Li, Xuequn Shang, Zhi-An Huang
2024 J jnl
A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning.
Neural Networks
Lingyun Song, Xuequn Shang, Ruizhi Zhou, Jun Liu, Jie Ma, Zhanhuai Li, Mingxuan Sun
2024 — conf
A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect.
EMNLP (Findings)
Lingyun Song, Chengkun Yang, Xuanyu Li, Xuequn Shang
2024 J jnl
A hierarchical GNN across semantic and topological domains for predicting circRNA-microRNA interactions.
Knowl. Based Syst.
Ji-Ren Zhou, Boya Ji, Rui Niu, Xuequn Shang, Zhuhong You
2024 J jnl
Accurately deciphering spatial domains for spatially resolved transcriptomics with stCluster.
Briefings Bioinform.
Tao Wang, Han Shu, Jialu Hu, Yongtian Wang, Jin Chen, Jiajie Peng, Xuequn Shang
2024 J jnl
Adaptive meta-knowledge dictionary learning for incremental knowledge tracing.
Eng. Appl. Artif. Intell.
Huan Dai, Yupei Zhang, Yue Yun, Rui An, Wenxin Zhang, Xuequn Shang
2024 A* conf
BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection.
ICDE
Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
2024 J jnl
Cancerous time estimation for interpreting the evolution of lung adenocarcinoma.
Briefings Bioinform.
Yourui Han, Bolin Chen, Jun Bian, Ruiming Kang, Xuequn Shang
2024 J jnl
Cooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents.
CoRR
Zhiguang Wu, Fengbin Zhu, Xuequn Shang, Yupei Zhang, Pan Zhou
2024 — conf
DMGNN: cancer driver gene identification based on mix-moment graph neural network.
BIBM
Bolin Chen, Ziyuan Li, Haodong Li, Junming Li, Ruiming Kang, Xuequn Shang, Jun Bian
2024 J jnl
Doubly constrained offline reinforcement learning for learning path recommendation.
Knowl. Based Syst.
Yue Yun, Huan Dai, Rui An, Yupei Zhang, Xuequn Shang
2024 J jnl
Enhancing Enterprise Credit Risk Assessment with Cascaded Multi-level Graph Representation Learning.
Neural Networks
Lingyun Song, Haodong Li, Yacong Tan, Zhanhuai Li, Xuequn Shang
2024 J jnl
FDM: Effective and efficient incident detection on sparse trajectory data.
Inf. Syst.
Xiaolin Han, Tobias Grubenmann, Chenhao Ma, Xiaodong Li, Wenya Sun, Sze Chun Wong, Xuequn Shang, Reynold Cheng
2024 J jnl
FMSA-SC: A Fine-Grained Multimodal Sentiment Analysis Dataset Based on Stock Comment Videos.
IEEE Trans. Multim.
Lingyun Song, Siyu Chen, Ziyang Meng, Mingxuan Sun, Xuequn Shang
2024 J jnl
Federated learning-outcome prediction with multi-layer privacy protection.
Frontiers Comput. Sci.
Yupei Zhang, Yuxin Li, Yifei Wang, Shuangshuang Wei, Yunan Xu, Xuequn Shang
2024 J jnl
FindCSV: a long-read based method for detecting complex structural variations.
BMC Bioinform.
Yan Zheng, Xuequn Shang
2024 J jnl
Multiplex Networks and Pan-Cancer Multiomics-Based Driver Gene Identification Using Graph Neural Networks.
Big Data Min. Anal.
Xingyi Li, Junming Li, Jun Hao, Xingyu Liao, Min Li, Xuequn Shang
2024 J jnl
Predicting drug-target binding affinity with cross-scale graph contrastive learning.
Briefings Bioinform.
Jingru Wang, Yihang Xiao, Xuequn Shang, Jiajie Peng
2024 J jnl
QIGTD: identifying critical genes in the evolution of lung adenocarcinoma with tensor decomposition.
BioData Min.
Bolin Chen, Jinlei Zhang, Ci Shao, Jun Bian, Ruiming Kang, Xuequn Shang
2024 A conf
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection.
CIKM
Zhihao Ding, Jieming Shi, Shiqi Shen, Xuequn Shang, Jiannong Cao, Zhipeng Wang, Zhi Gong
2024 J jnl
Scbean: a python library for single-cell multi-omics data analysis.
Bioinform.
Haohui Zhang, Yuwei Wang, Bin Lian, Yiran Wang, Xingyi Li, Tao Wang, Xuequn Shang, Hui Yang, Ahmad Aziz, Jialu Hu
2024 J jnl
Self-paced contrastive learning for knowledge tracing.
Neurocomputing
Huan Dai, Yue Yun, Yupei Zhang, Rui An, Wenxin Zhang, Xuequn Shang
2024 J jnl
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs.
CoRR
Jie Liu, Xuequn Shang, Xiaolin Han, Wentao Zhang, Hongzhi Yin
2024 Misc conf
TRoute: Dynamic Time-Dependent Route Recommendation on Road Networks.
WISA
Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang
2024 — conf
The identification of stage-related driving factors in breast carcinoma based on network smoothing and gravity model.
BIBM
Bolin Chen, Jinlei Zhang, Yourui Han, Jun Bian, Xuequn Shang
2024 J jnl
The mathematical exploration for the mechanism of lung adenocarcinoma formation and progression.
Briefings Bioinform.
Yourui Han, Bolin Chen, Zhongwen Bi, Jun Bian, Ruiming Kang, Xuequn Shang
2024 J jnl
Weakly supervised text classification framework for noisy-labeled imbalanced samples.
Neurocomputing
Wenxin Zhang, Yaya Zhou, Shuhui Liu, Yupei Zhang, Xuequn Shang
2024 Misc ed.
Web Information Systems and Applications - 21st International Conference, WISA 2024, Yinchuan, China, August 2-4, 2024, Proceedings
WISA
Cheqing Jin, Shiyu Yang, Xuequn Shang, Haofen Wang, Yong Zhang
2024 J jnl
postGWAS: A web server for deciphering the causality post the genome-wide association studies.
Comput. Biol. Medicine
Tao Wang, Zhihao Yan, Yiming Zhang, Zhuofei Lou, Xiaozhu Zheng, Duoduo Mai, Yongtian Wang, Xuequn Shang, Bing Xiao, Jiajie Peng, Jin Chen
2023 J jnl
A deep cross-modal neural cognitive diagnosis framework for modeling student performance.
Expert Syst. Appl.
Lingyun Song, Mengting He, Xuequn Shang, Chen Yang, Jun Liu, Mengzhen Yu, Yu Lu
2023 J jnl
A multi-view latent variable model reveals cellular heterogeneity in complex tissues for paired multimodal single-cell data.
Bioinform.
Yuwei Wang, Bin Lian, Haohui Zhang, Yuanke Zhong, Jie He, Fashuai Wu, Knut Reinert, Xuequn Shang, Hui Yang, Jialu Hu
2023 — conf
A personalized pathway activation inference method based on pathway structure for classification of inflammatory bowel disease.
BIBM
Xingyi Li, Xuequn Shang, Zhelin Zhao, Chenzhuo Yan
2023 J jnl
Answering knowledge-based visual questions via the exploration of Question Purpose.
Pattern Recognit.
Lingyun Song, Jianao Li, Jun Liu, Yang Yang, Xuequn Shang, Mingxuan Sun
2023 J jnl
Attribute-Guided Multiple Instance Hashing Network for Cross-Modal Zero-Shot Hashing.
IEEE Trans. Multim.
Lingyun Song, Xuequn Shang, Chen Yang, Mingxuan Sun
2023 J jnl
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection.
CoRR
Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
2023 J jnl
Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information.
Briefings Bioinform.
Yongtian Wang, Xinmeng Liu, Yewei Shen, Xuerui Song, Tao Wang, Xuequn Shang, Jiajie Peng
2023 J jnl
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks.
CoRR
Xiran Qu, Xuequn Shang, Yupei Zhang
2023 — conf
Course-Graph Discovery from Academic Performance Using Nonnegative LassoNet.
ICCSE (3)
Mengfei Liu, Shuangshuang Wei, Shuhui Liu, Xuequn Shang, Yupei Zhang
2023 — conf
Deep Knowledge Tracing with Concept Trees.
ADMA (2)
Yupei Zhang, Rui An, Wenxin Zhang, Shuhui Liu, Xuequn Shang
2023 — conf
Deep Learning Integration with Phenotypic Similarities and Heterogeneous Networks for Drug-Target Interaction Prediction.
BIBM
Yongtian Wang, Li Li, Yewei Shen, Yizhuo Zhang, Yuhe Zhang, Xuequn Shang
2023 J jnl
Doubly contrastive representation learning for federated image recognition.
Pattern Recognit.
Yupei Zhang, Yunan Xu, Shuangshuang Wei, Yifei Wang, Yuxin Li, Xuequn Shang
2023 — conf
Enhanced RNA Sequence Representation through Sequence Masking and Subsequence Consistency Optimization.
BIBM
Yewei Shen, Zhiyuan Wang, Zongyu Li, Xinmeng Liu, Xuequn Shang, Yongtian Wang
2023 J jnl
Federated learning-outcome prediction with multi-layer privacy protection.
CoRR
Yupei Zhang, Yuxin Li, Yifei Wang, Shuangshuang Wei, Yunan Xu, Xuequn Shang
2023 J jnl
GLassonet: Identifying Discriminative Gene Sets Among Molecular Subtypes of Breast Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shuhui Liu, Yupei Zhang, Xuequn Shang
2023 J jnl
Imbalanced Node Classification Beyond Homophilic Assumption.
CoRR
Jie Liu, Mengting He, Guangtao Wang, Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin
2023 Misc conf
Knowledge-Concept Diagnosis from fMRIs by Using a Space-Time Embedding Graph Convolutional Network.
WISA
Ye Lei, Yupei Zhang, Yi Lin, Xuequn Shang
2023 — conf
Learning-Disability Recognition by Using Sparse Spatio-Temporal Graph Neural Networks.
BIBM
Yuxin Li, Xuequn Shang, Yupei Zhang
2023 J jnl
Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding.
Neural Networks
Jie Liu, Lingyun Song, Guangtao Wang, Xuequn Shang
2023 J jnl
Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks.
IEEE Trans. Big Data
Yupei Zhang, Rui An, Shuhui Liu, Jiaqi Cui, Xuequn Shang
2023 J jnl
SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data.
BMC Bioinform.
Yan Zheng, Xuequn Shang
2023 J jnl
SVsearcher: A more accurate structural variation detection method in long read data.
Comput. Biol. Medicine
Yan Zheng, Xuequn Shang, Wing-Kin Sung
2023 J jnl
Temporal Graph Cube.
IEEE Trans. Knowl. Data Eng.
Guoren Wang, Yue Zeng, Rong-Hua Li, Hongchao Qin, Xuanhua Shi, Yubin Xia, Xuequn Shang, Liang Hong
2023 J jnl
scMultiGAN: cell-specific imputation for single-cell transcriptomes with multiple deep generative adversarial networks.
Briefings Bioinform.
Tao Wang, Hui Zhao, Yungang Xu, Yongtian Wang, Xuequn Shang, Jiajie Peng, Bing Xiao
2022 B conf
A Personalized Federated Learning Framework Using Side Information for Heterogeneous Data Classification.
IEEE Big Data
Yupei Zhang, Shuangshuang Wei, Yifei Wang, Yunan Xu, Yuxin Li, Xuequn Shang
2022 J jnl
A deep grouping fusion neural network for multimedia content understanding.
IET Image Process.
Lingyun Song, Mengzhen Yu, Xuequn Shang, Yu Lu, Jun Liu, Ying Zhang, Zhanhuai Li
2022 — conf
A multi-source fusion method to identify biomarkers for breast cancer prognosis based on dual-layer heterogeneous network.
BIBM
Xingyi Li, Zhelin Zhao, Ju Xiang, Jialu Hu, Xuequn Shang
2022 J jnl
A network-based method for brain disease gene prediction by integrating brain connectome and molecular network.
Briefings Bioinform.
Wei Wang, Ruijiang Han, Menghan Zhang, Yuxian Wang, Tao Wang, Yongtian Wang, Xuequn Shang, Jiajie Peng
2022 J jnl
A review and performance evaluation of clustering frameworks for single-cell Hi-C data.
Briefings Bioinform.
Caiwei Zhen, Yuxian Wang, Jiaquan Geng, Lu Han, Jingyi Li, Jinghao Peng, Tao Wang, Jianye Hao, Xuequn Shang, Zhongyu Wei, Peican Zhu, Jiajie Peng
2022 J jnl
A versatile and scalable single-cell data integration algorithm based on domain-adversarial and variational approximation.
Briefings Bioinform.
Jialu Hu, Yuanke Zhong, Xuequn Shang
2022 — conf
An Effective Chinese Text Classification Method with Contextualized Weak Supervision for Review Autograding.
ICIC (3)
Yupei Zhang, Md Shahedul Islam Khan, Yaya Zhou, Min Xiao, Xuequn Shang
2022 — conf
CircRNA-Disease Association Prediction based on Heterogeneous Graph Representation.
BIBM
Xinmeng Liu, Yuhe Zhang, Yewei Shen, Xuequn Shang, Yongtian Wang
2022 — conf
Contrastive Deep Knowledge Tracing.
AIED (2)
Huan Dai, Yue Yun, Yupei Zhang, Wenxin Zhang, Xuequn Shang
2022 J jnl
Correction to: Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation.
Briefings Bioinform.
Tao Wang, Yongzhuang Liu, Quanwei Yin, Jiaquan Geng, Jin Chen, Xipeng Yin, Yongtian Wang, Xuequn Shang, Chunwei Tian, Yadong Wang, Jiajie Peng
2022 — conf
Discovering eQTL Regulatory Patterns Through eQTLMotif.
BIBM
Tao Wang, Hui Zhao, Yifu Xiao, Hanzi Yang, Xipeng Yin, Yongtian Wang, Bing Xiao, Xuequn Shang, Jiajie Peng
2022 J jnl
Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation.
Briefings Bioinform.
Tao Wang, Yongzhuang Liu, Quanwei Yin, Jiaquan Geng, Jin Chen, Xipeng Yin, Yongtian Wang, Xuequn Shang, Chunwei Tian, Yadong Wang, Jiajie Peng
2022 J jnl
Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis.
Frontiers Comput. Sci.
Jiajie Peng, Jinjin Yang, D. Vijay Anand, Xuequn Shang, Kelin Xia
2022 — conf
Functional Analysis of Molecular Subtypes with Deep Similarity Learning Model Based on Multi-omics Data.
ICIC (2)
Shuhui Liu, Yupei Zhang, Xuequn Shang
2022 J jnl
GAE-LGA: integration of multi-omics data with graph autoencoders to identify lncRNA-PCG associations.
Briefings Bioinform.
Meihong Gao, Shuhui Liu, Yang Qi, Xinpeng Guo, Xuequn Shang
2022 J jnl
Graph-regularized federated learning with shareable side information.
Knowl. Based Syst.
Yupei Zhang, Shuangshuang Wei, Shuhui Liu, Yifei Wang, Yunan Xu, Yuxin Li, Xuequn Shang
2022 — conf
Hypergraph-based Gene Ontology Embedding for Disease Gene Prediction.
BIBM
Tao Wang, Hengbo Xu, Ranye Zhang, Yifu Xiao, Jiajie Peng, Xuequn Shang
2022 — conf
Identification of lncRNA-related protein-coding genes using multi-omics data based on deep learning and matrix completion.
BIBM
Meihong Gao, Xuequn Shang
2022 — conf
Identification of miRNA-lncRNA Underlying Interactions Through Representation for Multiplex Heterogeneous Network.
ICIC (2)
Ji-Ren Zhou, Zhuhong You, Xuequn Shang, Rui Niu, Yue Yun
2022 B conf
Interpretable Educational Recommendation: An Open Framework based on Bayesian Principal Component Analysis.
SMC
Yue Yun, Huan Dai, Yupei Zhang, Shuangshuang Wei, Xuequn Shang
2022 A* conf
MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract).
AAAI
Jie Liu, Lingyun Song, Li Gao, Xuequn Shang
2022 — conf
Markov Guided Spatio-Temporal Networks for Brain Image Classification
BIBM
Yupei Zhang, Yunan Xu, Rui An, Yuxin Li, Shuhui Liu, Xuequn Shang
2022 — conf
Online Deep Knowledge Tracing.
ICDM (Workshops)
Wenxin Zhang, Yupei Zhang, Shuhui Liu, Xuequn Shang
2022 B conf
Personalized Federated Contrastive Learning.
IEEE Big Data
Yupei Zhang, Yunan Xu, Shuangshuang Wei, Yifei Wang, Yuxin Li, Xuequn Shang
2022 J jnl
SEPA: signaling entropy-based algorithm to evaluate personalized pathway activation for survival analysis on pan-cancer data.
Bioinform.
Xingyi Li, Min Li, Ju Xiang, Zhelin Zhao, Xuequn Shang
2022 B conf
Topology Imbalance and Relation Inauthenticity Aware Hierarchical Graph Attention Networks for Fake News Detection.
COLING
Li Gao, Lingyun Song, Jie Liu, Bolin Chen, Xuequn Shang
2022 B conf
WeStcoin: Weakly-Supervised Contextualized Text Classification with Imbalance and Noisy Labels.
ICPR
Yupei Zhang, Yaya Zhou, Shuhui Liu, Wenxin Zhang, Min Xiao, Xuequn Shang
2021 J jnl
A novel method for predicting cell abundance based on single-cell RNA-seq data.
BMC Bioinform.
Jiajie Peng, Lu Han, Xuequn Shang
2021 — conf
An Improved Deep Model for Knowledge Tracing and Question-Difficulty Discovery.
PRICAI (2)
Huan Dai, Yupei Zhang, Yue Yun, Xuequn Shang
2021 J jnl
An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction.
Briefings Bioinform.
Jiajie Peng, Yuxian Wang, Jiaojiao Guan, Jingyi Li, Ruijiang Han, Jianye Hao, Zhongyu Wei, Xuequn Shang
2021 — conf
Comment Text Grading for Chinese Graduate Academic Dissertation Using Attention Convolutional Neural Networks.
ICSAI
Yupei Zhang, Yaya Zhou, Min Xiao, Xuequn Shang
2021 — conf
DCAE: Selecting Discriminative Genes on Single-cell RNA-seq Data for Cell-type Quantification.
BIBM
Shuhui Liu, Yupei Zhang, Jiajie Peng, Xuequn Shang
2021 — conf
Identifying functional evolution processes of cancer according to regression residuals network.
BIBM
Bolin Chen, Manting Yang, Xuequn Shang
2021 J jnl
Integrating Multi-Omic Data With Deep Subspace Fusion Clustering for Cancer Subtype Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Bo Yang, Yupei Zhang, Shanmin Pang, Xuequn Shang, Xueqing Zhao, Minghui Han
2021 J jnl
Integrating multi-network topology for gene function prediction using deep neural networks.
Briefings Bioinform.
Jiajie Peng, Hansheng Xue, Zhongyu Wei, Idil Tuncali, Jianye Hao, Xuequn Shang
2021 — conf
Predicting Hepatoma-Related Genes Based on Representation Learning of PPI network and Gene Ontology Annotations.
BIBM
Tao Wang, Zhiyuan Shao, Yifu Xiao, Xuchao Zhang, Yitian Chen, Binze Shi, Siyu Chen, Yuxian Wang, Jiajie Peng, Xuequn Shang
2021 J jnl
ProTICS reveals prognostic impact of tumor infiltrating immune cells in different molecular subtypes.
Briefings Bioinform.
Shuhui Liu, Yupei Zhang, Xuequn Shang, Zhaolei Zhang
2021 J jnl
SCC: an accurate imputation method for scRNA-seq dropouts based on a mixture model.
BMC Bioinform.
Yan Zheng, Yuanke Zhong, Jialu Hu, Xuequn Shang
2021 — conf
Self-paced Graph Memory Network for Student GPA Prediction and Abnormal Student Detection.
AIED (2)
Yue Yun, Huan Dai, Ruoqi Cao, Yupei Zhang, Xuequn Shang
2021 A conf
Undergraduate Grade Prediction in Chinese Higher Education Using Convolutional Neural Networks.
LAK
Yupei Zhang, Rui An, Jiaqi Cui, Xuequn Shang
2021 — conf
VarSKD: A Variational Student Knowledge Diagnosis for Efficiently Representing Student Latent Knowledge Space.
IEEE BigData
Huan Dai, Yupei Zhang, Yue Yun, Rui An, Xuequn Shang
2021 J jnl
Weakly Supervised Group Mask Network for Object Detection.
Int. J. Comput. Vis.
Lingyun Song, Jun Liu, Mingxuan Sun, Xuequn Shang
2020 — conf
A Machine Learning Based Method to Identify Differentially Expressed Genes.
ICIC (2)
Bolin Chen, Li Gao, Xuequn Shang
2020 J jnl
A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data.
BMC Bioinform.
Yang Qi, Yang Guo, Huixin Jiao, Xuequn Shang
2020 J jnl
A functional network construction method to interpret the pathological process of colorectal cancer.
Int. J. Data Min. Bioinform.
Bolin Chen, Manting Yang, Li Gao, Tao Jiang, Xuequn Shang
2020 J jnl
A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network.
BMC Bioinform.
Jiajie Peng, Jingyi Li, Xuequn Shang
2020 C conf
IPMM: Cancer Subtype Clustering Model Based on Multiomics Data and Pathway and Motif Information.
ADMA
Xinpeng Guo, Yanli Lu, Zhilei Yin, Xuequn Shang
2020 — conf
Identification and Analysis of Genes Involved in Stages of Colon Cancer.
ICIC (2)
Bolin Chen, Teng Wang, Xuequn Shang
2020 J jnl
Identifying emerging phenomenon in long temporal phenotyping experiments.
Bioinform.
Jiajie Peng, Junya Lu, Donghee Hoh, Ayesha S. Dina, Xuequn Shang, David M. Kramer, Jin Chen
2020 J jnl
Machine Learning Based Sentiment Text Classification for Evaluating Treatment Quality of Discharge Summary.
Inf.
Samer Abdulateef, Naseer Ahmed Khan, Bolin Chen, Xuequn Shang
2020 J jnl
Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis.
Knowl. Based Syst.
Yupei Zhang, Huan Dai, Yue Yun, Shuhui Liu, Andrew S. Lan, Xuequn Shang
2020 J jnl
Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy.
Inf.
Samer Abdulateef, Naseer Ahmed Khan, Bolin Chen, Xuequn Shang
2020 J jnl
Twadn: an efficient alignment algorithm based on time warping for pairwise dynamic networks.
BMC Bioinform.
Yuanke Zhong, Jing Li, Junhao He, Yiqun Gao, Jie Liu, Jingru Wang, Xuequn Shang, Jialu Hu
2019 — conf
A Flexible and Comprehensive Platform for Analyzing Gene Expression Data.
IDMB
Bolin Chen, Chenfei Wang, Li Gao, Xuequn Shang
2019 — conf
A deconvolution method for predicting cell abundance based on single cell RNA-seq data.
BIBM
Jiajie Peng, Lu Han, Xuequn Shang
2019 J jnl
A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data.
BMC Syst. Biol.
Shiquan Sun, Yabo Chen, Yang Liu, Xuequn Shang
2019 J jnl
A learning-based framework for miRNA-disease association identification using neural networks.
Bioinform.
Jiajie Peng, Weiwei Hui, Qianqian Li, Bolin Chen, Jianye Hao, Qinghua Jiang, Xuequn Shang, Zhongyu Wei
2019 J jnl
A novel algorithm based on bi-random walks to identify disease-related lncRNAs.
BMC Bioinform.
Jialu Hu, Yiqun Gao, Jing Li, Yan Zheng, Jingru Wang, Xuequn Shang
2019 J jnl
Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data.
BMC Bioinform.
Jiajie Peng, Xiaoyu Wang, Xuequn Shang
2019 — conf
Deep generative autoencoder for low-dimensional embeding extraction from single-cell RNAseq data.
BIBM
Shiquan Sun, Yang Liu, Xuequn Shang
2019 — conf
Deep learning enables accurate alignment of single cell RNA-seq data.
BIBM
Yuanke Zhong, Jing Li, Jie Liu, Yan Zheng, Xuequn Shang, Jialu Hu
2019 J jnl
Identification of cancer subtypes by integrating multiple types of transcriptomics data with deep learning in breast cancer.
Neurocomputing
Yang Guo, Xuequn Shang, Zhanhuai Li
2019 — conf
Identifying Differentially Expressed Genes Based on Differentially Expressed Edges.
ICIC (2)
Bolin Chen, Li Gao, Xuequn Shang
2019 — conf
Identifying functional evolution processes according to the pathological stages of colorectal cancer.
BIBM
Bolin Chen, Manting Yang, Li Gao, Xuequn Shang
2019 A conf
Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding.
CIKM
Hansheng Xue, Jiajie Peng, Jiying Li, Xuequn Shang
2019 — conf
Integrating Multiple Datasets to Discover Stage-Specific Cancer Related Genes and Stage-Specific Pathways.
IWBBIO (1)
Bolin Chen, Chaima Aouiche, Xuequn Shang
2019 J jnl
MD-SVM: a novel SVM-based algorithm for the motif discovery of transcription factor binding sites.
BMC Bioinform.
Jialu Hu, Jingru Wang, Jianan Lin, Tianwei Liu, Yuanke Zhong, Jie Liu, Yan Zheng, Yiqun Gao, Junhao He, Xuequn Shang
2019 J jnl
Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO.
BMC Syst. Biol.
Hansheng Xue, Jiajie Peng, Xuequn Shang
2019 J jnl
Predicting stage-specific cancer related genes and their dynamic modules by integrating multiple datasets.
BMC Bioinform.
Chaima Aouiche, Bolin Chen, Xuequn Shang
2019 B conf
Student Knowledge Diagnosis on Response Data via the Model of Sparse Factor Learning.
EDM
Yupei Zhang, Huan Dai, Yue Yun, Xuequn Shang
2019 J jnl
TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology.
BMC Bioinform.
Jiajie Peng, Guilin Lu, Hansheng Xue, Tao Wang, Xuequn Shang
2019 A* conf
Towards Gene Function Prediction via Multi-Networks Representation Learning.
AAAI
Hansheng Xue, Jiajie Peng, Xuequn Shang
2018 J jnl
BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data.
BMC Bioinform.
Yang Guo, Shuhui Liu, Zhanhuai Li, Xuequn Shang
2018 J jnl
Copy number variation related disease genes.
Quant. Biol.
Chaima Aouiche, Xuequn Shang, Bolin Chen
2018 J jnl
Deep Feature Learning of Multi-Network Topology for Node Classification.
CoRR
Hansheng Xue, Jiajie Peng, Xuequn Shang
2018 — conf
Deep Subspace Similarity Fusion for the Prediction of Cancer Subtypes.
BIBM
Bo Yang, Shuhui Liu, Shanmin Pang, Chenpai Pang, Xuequn Shang
2018 — conf
Hierarchical Similarity Network Fusion for Discovering Cancer Subtypes.
ISBRA
Shuhui Liu, Xuequn Shang
2018 — conf
Identification of lncRNA-disease association using bi-random walks.
BIBM
Yiqun Gao, Jialu Hu, Xuequn Shang
2018 J jnl
Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach.
BMC Syst. Biol.
Jiajie Peng, Xuanshuo Zhang, Weiwei Hui, Junya Lu, Qianqian Li, Shuhui Liu, Xuequn Shang
2018 J jnl
KF-finder: identification of key factors from host-microbial networks in cervical cancer.
BMC Syst. Biol.
Jialu Hu, Yiqun Gao, Yan Zheng, Xuequn Shang
2018 — conf
Low-Rank Graph Regularized Sparse Coding.
PRICAI (1)
Yupei Zhang, Shuhui Liu, Xuequn Shang, Ming Xiang
2018 J jnl
Measuring phenotype-phenotype similarity through the interactome.
BMC Bioinform.
Jiajie Peng, Weiwei Hui, Xuequn Shang
2018 — conf
NetCoffee2: A Novel Global Alignment Algorithm for Multiple PPI Networks Based on Graph Feature Vectors.
ICIC (2)
Jialu Hu, Junhao He, Yiqun Gao, Yan Zheng, Xuequn Shang
2018 — conf
TSGOE: A web tool for tissue-specific gene ontology enrichment.
BIBM
Jiajie Peng, Guilin Lu, Hansheng Xue, Tao Wang, Xuequn Shang
2018 J jnl
WebNetCoffee: a web-based application to identify functionally conserved proteins from Multiple PPI networks.
BMC Bioinform.
Jialu Hu, Yiqun Gao, Junhao He, Yan Zheng, Xuequn Shang
2017 J jnl
A novel method to measure the semantic similarity of HPO terms.
Int. J. Data Min. Bioinform.
Jiajie Peng, Hansheng Xue, Yukai Shao, Xuequn Shang, Yadong Wang, Jin Chen
2017 J jnl
Identifying term relations cross different gene ontology categories.
BMC Bioinform.
Jiajie Peng, Honggang Wang, Junya Lu, Weiwei Hui, Yadong Wang, Xuequn Shang
2017 J jnl
Investigations on factors influencing HPO-based semantic similarity calculation.
J. Biomed. Semant.
Jiajie Peng, Qianqian Li, Xuequn Shang
2017 J jnl
Isometric hashing for image retrieval.
Signal Process. Image Commun.
Bo Yang, Xuequn Shang, Shanmin Pang
2017 — conf
Measuring phenotype-phenotype similarity through the interactome.
BIBM
Jiajie Peng, Weiwei Hui, Xuequn Shang
2017 — conf
MiteFinder: A fast approach to identify miniature inverted-repeat transposable elements on a genome-wide scale.
BIBM
Jialu Hu, Yan Zheng, Xuequn Shang
2017 — conf
Net2Image: A Network Representation Method for Identifying Cancer-Related Genes.
ISBRA
Bolin Chen, Yuqiong Jin, Xuequn Shang
2017 — conf
Towards the classification of cancer subtypes by using cascade deep forest model in gene expression data.
BIBM
Yang Guo, Shuhui Liu, Zhanhuai Li, Xuequn Shang
2016 — conf
Analyzing factors involved in the HPO-based semantic similarity calculation.
BIBM
Jiajie Peng, Qianqian Li, Bolin Chen, Jialu Hu, Xuequn Shang
2016 J jnl
Constrained query of order-preserving submatrix in gene expression data.
Frontiers Comput. Sci.
Tao Jiang, Zhanhuai Li, Xuequn Shang, Bolin Chen, Weibang Li, Zhilei Yin
2016 J jnl
Identifying essential proteins based on dynamic protein-protein interaction networks and RNA-Seq datasets.
Sci. China Inf. Sci.
Xuequn Shang, Yu Wang, Bolin Chen
2016 — conf
Measuring phenotype semantic similarity using Human Phenotype Ontology.
BIBM
Jiajie Peng, Hansheng Xue, Yukai Shao, Xuequn Shang, Yadong Wang, Jin Chen
2016 J jnl
基因表达数据中局部模式的查询 (Local Pattern Query from Gene Expression Data).
计算机科学
Tao Jiang, Zhanhuai Li, Xuequn Shang, Bolin Chen, Weibang Li
2015 — conf
A two-step logistic regression algorithm for identifying individual-cancer-related genes.
BIBM
Bolin Chen, Xuequn Shang, Min Li, Jianxin Wang, Fang-Xiang Wu
2014 — conf
Identification of protein complexes and functional modules in integrated PPI networks.
BIBM
Yang Guo, Xuequn Shang, Qingping Zhu, Mingkui Huang, Zhanhuai Li
2013 — conf
Revealing the Causes of Dynamic Change in Protein-Protein Interaction Network.
BigData Congress
Yang Guo, Xuequn Shang, Jing Li, Zhanhuai Li
2011 — conf
FTCluster: Efficient Mining Fault-Tolerant Biclusters in Microarray Dataset.
ICDM Workshops
Miao Wang, Xuequn Shang, Miao Miao, Zhanhuai Li, Wenbin Liu
2011 J jnl
MFC: Mining Maximal Frequent Dense Subgraphs without Candidate Maintenance in Imbalanced PPI Networks.
J. Softw.
Miao Wang, Xuequn Shang, Zhanhuai Li
2011 — conf
MFCluster: Mining Maximal Fault-Tolerant Constant Row Biclusters in Microarray Dataset.
WAIM
Miao Wang, Xuequn Shang, Miao Miao, Zhanhuai Li, Wenbin Liu
2010 J jnl
Efficient Mining Frequent Closed Discriminative Biclusters by Sample-Growth: The FDCluster Approach.
Int. J. Knowl. Discov. Bioinform.
Miao Wang, Xuequn Shang, Shaohua Zhang, Zhanhuai Li
2010 — conf
FDCluster: Mining Frequent Closed Discriminative Bicluster without Candidate Maintenance in Multiple Microarray Datasets.
ICDM Workshops
Miao Wang, Xuequn Shang, Shaohua Zhang, Zhanhuai Li
2010 — conf
WIBE: Mining Frequent Closed Patterns Without Candidate Maintenance in Microarray Dataset.
DMIN
Miao Wang, Xuequn Shang, Jingni Diao, Zhanhuai Li
2009 B conf
Mining High-Correlation Association Rules for Inferring Gene Regulation Networks.
DaWaK
Xuequn Shang, Qian Zhao, Zhanhuai Li
2009 Misc conf
Mining functional associated patterns from biological network data.
SAC
Xuequn Shang, Zhanhuai Li, Wei Li
2008 C conf
Sequential Pattern Mining for Protein Function Prediction.
ADMA
Miao Wang, Xuequn Shang, Zhanhuai Li
2007 — conf
A Survey of Frequent Pattern Mining for Biological Datasets.
DMIN
Xuequn Shang
2007 J jnl
Processing Sequential Patterns in Relational Databases.
J. Data Semant.
Xuequn Shang, Kai-Uwe Sattler
2005 Misc conf
Depth-first frequent itemset mining in relational databases.
SAC
Xuequn Shang, Kai-Uwe Sattler
2005 B conf
Frequent Itemset Mining with Parallel RDBMS.
PAKDD
Xuequn Shang, Kai-Uwe Sattler
2005 B conf
Processing Sequential Patterns in Relational Databases.
DaWaK
Xuequn Shang, Kai-Uwe Sattler
2005 — —
SQL based frequent pattern mining.
Xuequn Shang
2004 — conf
Efficient Frequent Pattern Mining in Relational Databases.
LWA
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
2004 — conf
SQL Based Frequent Pattern Mining with FP-Growth.
INAP/WLP
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
2004 Misc conf
SQL based frequent pattern mining without candidate generation.
SAC
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist