Xingpeng Jiang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 84

Top Venues

BIBM

IEEE ACM Trans. Comput. Biol. Bioinform.

Briefings Bioinform.

BMC Bioinform.

Publications

Jingzhe Li, Chengji Wang, Zhiming Luo, Yuxian Wu, Xingpeng Jiang
Modality-Dependent Sentiments Exploring for Multi-Modal Sentiment Classification. ICASSP (2024)
Weizhong Zhao, Junze Wu, Shujie Luo, Xingpeng Jiang, Tingting He, Xiaohua Hu
Subtask-Aware Representation Learning for Predicting Antibiotic Resistance Gene Properties via Gating-Controlled Mechanism. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Xinzi Chen, Pei Li, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen
A Novel Combined Embedding Model Based on Heterogeneous Network for Inferring Microbe-Metabolite Interactions. ISBRA (1) (2024)
Zhao Peng, Jiaqiang Li, Xingpeng Jiang, Cuihong Wan
sOCP: a framework predicting smORF coding potential based on TIS and in-frame features and effectively applied in the human genome. Briefings Bioinform. 25 (3) (2024)
Dandan Li, Zhen Xiao, Han Sun, Xingpeng Jiang, Weizhong Zhao, Xianjun Shen
Prediction of Drug-Disease Associations Based on Multi-Kernel Deep Learning Method in Heterogeneous Graph Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (1) (2024)
Xing Lv, Jie Deng, Weizhong Zhao, Xinhui Tu, Xingpeng Jiang
A Hierarchical Classification Model for Annotating Antibacterial Biocide and Metal Resistance Genes via Fusing Global and Local Semantics. ISBRA (2) (2024)
Weizhong Zhao, Xueling Yuan, Xianjun Shen, Xingpeng Jiang, Chuan Shi, Tingting He, Xiaohua Hu
Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion. Briefings Bioinform. 24 (2) (2023)
Yi Jia, Shanshan Zheng, Tingting He, Xingpeng Jiang
Predicting Microbe-Metabolite Interactions by Integrating Non-negative Matrix Factorization and Generative Network. BIBM (2023)
Chengcheng Fu, Yanan Yao, Jieyu Wu, Weizhong Zhao, Tingting He, Xingpeng Jiang
Multimodal reasoning for nutrition and human health via knowledge graph embedding. BIBM (2023)
Yanan Yao, Tian Yu, Huanghan Zhan, Weizhong Zhao, Tingting He, Xingpeng Jiang
Cascade Decoding for Antibiotic Resistance Event Extraction Based on Contrastive Learning. BIBM (2023)
Xueling Yuan, Weizhong Zhao, Xiaowei Xu, Xinhui Tu, Xingpeng Jiang, Tingting He
An Effective Model for Drug-Drug Interactions Prediction in Cold-start Scenario via Counterfactual Data Augmentation. BIBM (2023)
Chengcheng Fu, Zhisheng Huang, Frank van Harmelen, Tingting He, Xingpeng Jiang
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health. Artif. Intell. Medicine 145 (2023)
Han Sun, Yue Wang, Zhen Xiao, Xiaoyun Huang, Haodong Wang, Tingting He, Xingpeng Jiang
multiMiAT: an optimal microbiome-based association test for multicategory phenotypes. Briefings Bioinform. 24 (2) (2023)
Weizhong Zhao, Jun Xia, Xingpeng Jiang, Tingting He
A novel framework for deep knowledge tracing via gating-controlled forgetting and learning mechanisms. Inf. Process. Manag. 60 (1) (2023)
Ruizhe Zhang, Dandan Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen
An Effective Microbial-drug Relation Extraction Model Based on Dual Graph Convolutional Networks. BIBM (2023)
Wenjie Yao, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xianjun Shen, Tingting He
Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction. BIBM (2023)
Weizhong Zhao, Wenjie Yao, Xingpeng Jiang, Tingting He, Chuan Shi, Xiaohua Hu
An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Shengwei Ye, Weizhong Zhao, Xiaowei Xu, Xianjun Shen, Xingpeng Jiang, Tingting He
Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm. BIBM (2023)
Yue Wang, Han Sun, Haodong Wang, Dandan Li, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen
An Effective Model for Predicting Phage-Host Interactions Via Graph Embedding Representation Learning With Multi-Head Attention Mechanism. IEEE J. Biomed. Health Informatics 27 (6) (2023)
Weizhong Zhao, Jinyong Zhang, Jincai Yang, Xingpeng Jiang, Tingting He
Document-Level Chemical-Induced Disease Relation Extraction via Hierarchical Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Pei Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen
Inferring microbe-metabolite interactions by heterogeneous network fusion based on graph convolution network. BIBM (2022)
Han Sun, Xiaoyun Huang, Ban Huo, Yuting Tan, Tingting He, Xingpeng Jiang
Detecting sparse microbial association signals adaptively from longitudinal microbiome data based on generalized estimating equations. Briefings Bioinform. 23 (5) (2022)
Wenjie Yao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen, Tingting He
MPGNN-DSA: A Meta-path-based Graph Neural Network for drug-side effect association prediction. BIBM (2022)
Chengcheng Fu, Zhisheng Huang, Frank van Harmelen, Tingting He, Xingpeng Jiang
Food Recommendation for Mental Health by Using Knowledge Graph Approach. HIS (2022)
Haifang Wu, Shujie Luo, Weizhong Zhao, Xingpeng Jiang, Tingting He
A Novel Protein Interface Prediction Framework via Hybrid Attention Mechanism. PAKDD (3) (2022)
Xueling Yuan, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He
Prediction of Drug-Drug Interactions Based on Meta-path-based Fusion Mechanism in Heterogeneous Information Network. BIBM (2022)
Haodong Wang, Han Sun, Yue Wang, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen
Predicting human microbe-disease associations based on multi-source heterogeneous graph representation learning model. BIBM (2022)
Weizhong Zhao, Shujie Luo, Haifang Wu, Xingpeng Jiang, Tingting He, Xiaohua Hu
A multi-label learning framework for predicting antibiotic resistance genes via dual-view modeling. Briefings Bioinform. 23 (3) (2022)
Yu-Ting Tan, Le Ou-Yang, Xingpeng Jiang, Hong Yan, Xiao-Fei Zhang
Identifying Gene Network Rewiring Based on Partial Correlation. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Yingjun Ma, Tingting He, Yuting Tan, Xingpeng Jiang
Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Shengwei Ye, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He
A Novel Drug Repositioning Model Based on Heterogeneous Graph Convolutional Network via Multi-task Learning. BIBM (2022)
Xia Sun, Chengcheng Fu, Suoqi Liu, Wenjie Chen, Ran Zhong, Tingting He, Xingpeng Jiang
Multi-type Microbial Relation Extraction by Transfer Learning. BIBM (2021)
Shujie Luo, Haifang Wu, Weizhong Zhao, Xingpeng Jiang, Tingting He
Triple-view Learning for Predicting Antibiotic Resistance Genes. BIBM (2021)
Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li
Efficient multiple biomedical events extraction via reinforcement learning. Bioinform. 37 (13) (2021)
Chengcheng Fu, Xiaobin Jiang, Tingting He, Xingpeng Jiang
MDepressionKG: a knowledge graph for metabolism-depression associations. ISAIMS (2021)
Yao Zhao, Weizhong Zhao, Xingpeng Jiang, Tingting He, Bianping Su
An improved RL-based framework for multiple biomedical event extraction via self-supervised learning. BIBM (2021)
Bojing Li, Duo Zhong, Xingpeng Jiang, Tingting He
TopoPhy-CNN: Integrating Topological Information of Phylogenetic Tree for Host Phenotype Prediction From Metagenomic Data. BIBM (2021)
Weizhong Zhao, Dandan Fang, Jinyong Zhang, Yao Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He
An effective framework for semistructured document classification via hierarchical attention model. Int. J. Intell. Syst. 36 (9) (2021)
Quan Zou, Gang Lin, Xingpeng Jiang, Xiangrong Liu, Xiangxiang Zeng
Sequence clustering in bioinformatics: an empirical study. Briefings Bioinform. 21 (1) (2020)
Hanlin Mou, Shanshan Zheng, Haifang Wu, Bojing Li, Tingting He, Xingpeng Jiang
Virus Named Entity Recognition based on Pre-training Model. BIBM (2020)
Shujuan Yin, Weizhong Zhao, Xingpeng Jiang, Tingting He
Knowledge-aware Few-shot Learning Framework for Biomedical Event Trigger Identification. BIBM (2020)
Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li
A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases. BIBM (2020)
Chengcheng Fu, Ran Zhong, Xiaobin Jiang, Tingting He, Xingpeng Jiang
An Integrated Knowledge Graph for Microbe-Disease Associations. HIS (2020)
Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He
An end-to-end framework for biomedical event trigger identification with hierarchical attention and adaptive cost learning. Int. J. Data Min. Bioinform. 23 (3) (2020)
Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jiang
Clustering and Integrating of Heterogeneous Microbiome Data by Joint Symmetric Nonnegative Matrix Factorization with Laplacian Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Jinyong Zhang, Weizhong Zhao, Jincai Yang, Xingpeng Jiang, Tingting He
An Effective Framework for Document-level Chemical-induced Disease Relation Extraction via Fine-grained Interaction between Contexts. BIBM (2020)
Dandan Fang, Jinyong Zhang, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He
Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification. IEEE BigData (2019)
Limin Yu, Xianjun Shen, Xingpeng Jiang, Jincai Yang, Yujuan Yang, Duo Zhong
Hypergraph Clustering Based on Intra-class Scatter Matrix for Mining Higher-order Microbial Module. BIBM (2019)
Dan Liu, Yingjun Ma, Xingpeng Jiang, Tingting He
Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion. BMC Bioinform. (16) (2019)
Qing Zhu, Chang Han, Qiang Zhu, Tingting He, Xingpeng Jiang
Integrating Deep Textual Features to Probability Matrix Factorization for Metabolite-disease Association Prediction. BIBM (2019)
Jincai Yang, Shunping Ma, Xingpeng Jiang
Predicting LncRNA-disease Association by Autoencoder and Rotation Forest. BIBM (2019)
Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He
An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention. BIBM (2019)
Xusheng Li, Chengcheng Fu, Ran Zhong, Duo Zhong, Tingting He, Xingpeng Jiang
Bacterial Named Entity Recognition Based on Language Model. BIBM (2019)
Ran Zhong, Xusheng Li, Xia Sun, Chengcheng Fu, Tingting He, Xingpeng Jiang
Microbial Interaction Extraction from Biomedical Literature using Max-Bi-LSTM. BIBM (2019)
Xusheng Li, Chengcheng Fu, Ran Zhong, Duo Zhong, Tingting He, Xingpeng Jiang
A hybrid deep learning framework for bacterial named entity recognition with domain features. BMC Bioinform. (16) (2019)
Min Pan, Yue Zhang, Qiang Zhu, Bo Sun, Tingting He, Xingpeng Jiang
An adaptive term proximity based rocchio's model for clinical decision support retrieval. BMC Medical Informatics Decis. Mak. (9) (2019)
Min Pan, Yue Zhang, Tingting He, Xingpeng Jiang
An Enhanced HAL-Based Pseudo Relevance Feedback Model in Clinical Decision Support Retrieval. ICIC (2) (2018)
Xusheng Li, Xiaoyan Wang, Ran Zhong, Duo Zhong, Tingting He, Xiaohua Hu, Xingpeng Jiang
A Hybrid Deep Learning Framework for Bacterial Named Entity Recognition. BIBM (2018)
Xianjun Shen, Xue Gong, Xingpeng Jiang, Jincai Yang, Tingting He, Xiaohua Hu
High-order Organization of Weighted Microbial Interaction Network. BIBM (2018)
Yuanyuan Ma, Xiaohua Hu, Tingting He, Xianchao Zhu, Meijun Zhou, Xingpeng Jiang
ESNMF: Evolutionary Symmetric Nonnegative Matrix Factorization for Dissecting Dynamic Microbial Networks. ICIC (3) (2018)
Xianjun Shen, Huan Zhu, Xingpeng Jiang, Xiaohua Hu, Jincai Yang
A Novel Approach Based on Bi-Random Walk to Predict Microbe-Disease Associations. ICIC (3) (2018)
Qiang Zhu, Min Pan, Lei Liu, Bojing Li, Tingting He, Xingpeng Jiang, Xiaohua Hu
An Ensemble Feature Selection Method Based on Deep Forest for Microbiome-Wide Association Studies. BIBM (2018)
Xianchao Zhu, Xianjun Shen, Xingpeng Jiang, Kaiping Wei, Tingting He, Yuanyuan Ma, Jiaqi Liu, Xiaohua Hu
Nonlinear expression and visualization of nonmetric relationships in genetic diseases and microbiome data. BMC Bioinform. (20) (2018)
Yingiun Ma, Leixin Ge, Yuanyuan Ma, Xingpeng Jiang, Tingting He, Xiaohua Hu
Kernel Soft-neighborhood Network Fusion for MiRNA-Disease Interaction Prediction. BIBM (2018)
Sisi Chen, Dan Liu, Jia Zheng, Pingtao Chen, Xiaohua Hu, Xingpeng Jiang
Predicting Microbe-Disease Association by Kernelized Bayesian Matrix Factorization. ICIC (2) (2018)
Yingiun Ma, Limin Yu, Tingting He, Xiaohua Hu, Xingpeng Jiang
Prediction of Long Non-coding RNA-protein Interaction through Kernel Soft-neighborhood Similarity. BIBM (2018)
Dan Liu, Xiaohua Hu, Tingting He, Xingpeng Jiang
Virus-host Association Prediction by using Kernelized Logistic Matrix Factorization on Heterogeneous Networks. BIBM (2018)
Qiang Zhu, Qing Zhu, Min Pan, Xingpeng Jiang, Xiaohua Hu, Tingting He
The Phylogenetic Tree based Deep Forest for Metagenomic Data Classification. BIBM (2018)
Jincai Yang, Chunjie Guo, Xingpeng Jiang, Xiaohua Hu, Xianjun Shen
Systematic characterization and prediction of tumor-associated genes in mouse using microrna. BIBM (2017)
Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Li Gao, Tingting He, Xiaohua Hu
Visualization of non-metric relationships by adaptive learning multiple maps t-SNE regularization. IEEE BigData (2017)
Xingpeng Jiang, Xiaohua Hu, Weiwei Xu
Microbiome Data Representation by Joint Nonnegative Matrix Factorization with Laplacian Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (2) (2017)
Yong Zhang, Xiaohua Hu, Xingpeng Jiang
Multi-View Clustering of Microbiome Samples by Robust Similarity Network Fusion and Spectral Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (2) (2017)
Yan Wang, Mingzhi Mao, Fang Li, Wenping Deng, Shaowu Shen, Xingpeng Jiang
Predicting microbial interactions from time series data with network information. Int. J. Data Min. Bioinform. 17 (2) (2017)
Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Tingting He, Xiaohua Hu
Visualization of disease relationships by multiple maps t-SNE regularization based on Nesterov accelerated gradient. BIBM (2017)
Jincai Yang, Huichao Gu, Xingpeng Jiang, Qingyang Huang, Xiaohua Hu, Xianjun Shen
Identifying the Risky SNP of Osteoporosis with ID3-PEP Decision Tree Algorithm. Complex. 2017 (2017)
Jincai Yang, Fuli Zhang, Xingpeng Jiang, Xianjun Shen, Xiaohua Hu
Classify and identify the risky loci of type 2 diabetes with computational method. BIBM (2017)
Dan Liu, Xingpeng Jiang, Huiru Jane Zheng, Bo Xie, Haiying Wang, Tingting He, Xiaohua Hu
The modularity of microbial interaction network in healthy human saliva: Stability and specificity. BIBM (2017)
Xiaoyan Wang, Xingpeng Jiang, Mengwen Liu, Tingting He, Xiaohua Hu
Bacterial named entity recognition based on dictionary and conditional random field. BIBM (2017)
Jiandong Huang, Huiru Zheng, Haying Wang, Xingpeng Jiang
Machine learning approaches for cyanobacteria bloom prediction using metagenomic sequence data, a case study. BIBM (2017)
Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jiang
Multi-view clustering microbiome data by joint symmetric nonnegative matrix factorization with Laplacian regularization. BIBM (2016)
Xianjun Shen, Jin Zhou, Xingpeng Jiang, Xiaohua Hu, Tingting He, Jincai Yang, Dan Xie
A novel identified temporal protein complexes strategy inspired by density-distance and brainstorming process. BIBM (2016)
Xianjun Shen, Yao Chen, Xingpeng Jiang, Xiaohua Hu, Tingting He, Jincai Yang
Predicting disease-microbe association by random walking on the heterogeneous network. BIBM (2016)
Xingpeng Jiang, Xiaohua Hu, Tingting He
Identification of the clustering structure in microbiome data by density clustering on the Manhattan distance. Sci. China Inf. Sci. 59 (7) (2016)
Jincai Yang, Huichao Gu, Xingpeng Jiang, Qingyang Huang, Xiaohua Hu, Xianjun Shen
Walking in the PPI network to identify the risky SNP of osteoporosis with decision tree algorithm. BIBM (2016)
Xingpeng Jiang, Xiaohua Hu, Tingting He
Time series analysis of microbiome data regularized by local linear manifold. BIBM (2015)
Xingpeng Jiang, Xiaohua Hu, Weiwei Xu, E. K. Park
Predicting Microbial Interactions Using Vector Autoregressive Model with Graph Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (2) (2015)
Ye-tian Fan, Xingpeng Jiang, Xiaohua Hu, Bo Song, Yuan Ling, Wei Wu
A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis. BIBM (2015)
Jie Yuan, Xingpeng Jiang, Tingting He, Yan Wang, Xiyue Guo
Predicting disease genes based on normalized protein modules and phenotype ontology. BIBM (2015)
Yan Wang, Xiaohua Hu, Xingpeng Jiang, Tingting He, Jie Yuan
Predicting microbial interactions by using network-constrained regularization incorporating covariate coefficients and connection signs. BIBM (2015)
Yan Wang, Tingting He, Xingpeng Jiang, Jie Yuan, Xianjun Shen
Weighted fusion regularisation and predicting microbial interactions with vector autoregressive model. Int. J. Data Min. Bioinform. 13 (4) (2015)
Xianjun Shen, Yi Li, Xingpeng Jiang, Yanli Zhao, Tingting He, Jincai Yang
Detecting temporal protein complexes based on Neighbor Closeness and time course protein interaction networks. BIBM (2015)
Yan Wang, Xingpeng Jiang, Xiaohua Hu, Tingting He, Xianjun Shen, Jie Yuan
Microbiome dynamics analysis using a novel multivariate vector autoregression model with weighted fusion regularization. BIBM (2014)
Xingpeng Jiang, Xiaohua Hu
Microbiome data integration by robust similarity network fusion. BIBM (2014)
Xingpeng Jiang, Xiaohua Hu, Weiwei Xu
Joint Analysis of Functional and Phylogenetic Composition for Human Microbiome Data. ISBRA (2014)
Weiwei Xu, Rong Xie, Xingpeng Jiang, Xiaohua Hu
LA2SNE: A novel stochastic neighbor embedding approach for microbiome data visualization. BIBM (2014)
Zunyan Xiong, Yizhou Zang, Xingpeng Jiang, Xiaohua Hu
Document Clustering with an Augmented Nonnegative Matrix Factorization Model. PAKDD (2) (2014)
Bo Song, Xingpeng Jiang, Xiaohua Hu
Accelerating microbiomic big data analysis by spectral interpolation. BIBM (2014)
Xueqin Zhuang, Yongli Wang, Xiaohui Jiang, Xingpeng Jiang
Mining the maximum conserved functional module from the alignment of pairwise protein interaction networks. BIBM (2013)
Xingpeng Jiang, Xiaohua Hu, Weiwei Xu, Yongli Wang
Manifold-constrained regularization for variable selection in envrionmental microbiomic data. BIBM (2013)
Xingpeng Jiang, Xiaohua Hu, Weiwei Xu, Guangrong Li, Yongli Wang
Inference of microbial interactions from time series data using vector autoregression model. BIBM (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xingpeng Jiang