Xingpeng Jiang

119 papers C 2Misc 1Journal 39Unranked 75

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A dual diffusion model-based representation learning framework for antimicrobial peptides classification. Bioinform. Wen Kong, Lingling Fu, Xingpeng Jiang, Weizhong Zhao
2026	J	`jnl`	Divide-and-conquer: Prompt-based distribution learning for multimodal sentiment analysis. Inf. Fusion Chengji Wang, Wenjing Zhang, Guanyi Chen, Ming Dong, Tingting He, Xingpeng Jiang
2026	J	`jnl`	P-CLIP: Progressive Discrepancy Learning for One-Shot Text-to-Image Person Re-Identification. IEEE Trans. Image Process. Chengji Wang, Ming Dong, Mang Ye, Hao Sun, Xingpeng Jiang
2025	J	`jnl`	A Novel Framework for Predicting Phage-Host Interactions via Host Specificity-Aware Graph Autoencoder. IEEE J. Biomed. Health Informatics Zhen Xiao, Han Sun, Ankang Wei, Weizhong Zhao, Xingpeng Jiang
2025	J	`jnl`	A novel framework for phage-host prediction via logical probability theory and network sparsification. Briefings Bioinform. Ankang Wei, Huanghan Zhan, Zhen Xiao, Weizhong Zhao, Xingpeng Jiang
2025	J	`jnl`	KG4NH: A Comprehensive Knowledge Graph for Question Answering in Dietary Nutrition and Human Health. IEEE J. Biomed. Health Informatics Chengcheng Fu, Xueli Pan, Jieyu Wu, Junkai Cai, Zhisheng Huang, Frank van Harmelen, Weizhong Zhao, Xingpeng Jiang, Tingting He
2025	—	`conf`	LLM-Assisted Nutrition-Disease Knowledge Graph Construction and Multi-View Fusion Framework for Link Prediction. BIBM Yuchen Luo, Zhanhua Lu, Jiatai Yang, Sijia Liu, Weizhong Zhao, Xingpeng Jiang
2025	—	`conf`	Predicting Nanobody Paratope via Fused Attention Mechanism and Distance-Guided Interaction Learning. BIBM Zhanhua Lu, Jiatai Yang, Weizhong Zhao, Xingpeng Jiang
2025	—	`conf`	Predicting Protein-Peptide Binding Residues via Gated Fusion Mechanism and Domain-Guided Feature Optimization. BIBM Jiatai Yang, Zhanhua Lu, Weizhong Zhao, Xingpeng Jiang
2025	J	`jnl`	Predicting phage-host interactions via feature augmentation and regional graph convolution. Briefings Bioinform. Ankang Wei, Zhen Xiao, Lingling Fu, Weizhong Zhao, Xingpeng Jiang
2024	—	`conf`	A Hierarchical Classification Model for Annotating Antibacterial Biocide and Metal Resistance Genes via Fusing Global and Local Semantics. ISBRA (2) Xing Lv, Jie Deng, Weizhong Zhao, Xinhui Tu, Xingpeng Jiang
2024	—	`conf`	A Novel Combined Embedding Model Based on Heterogeneous Network for Inferring Microbe-Metabolite Interactions. ISBRA (1) Xinzi Chen, Pei Li, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen
2024	—	`conf`	AMPpred-DLFF: prediction of AMPs based on deep learning and multi-view features fusion. BIBM Yu Chen, Xingpeng Jiang, Weizhong Zhao
2024	J	`jnl`	Causal-ARG: a causality-guided framework for annotating properties of antibiotic resistance genes. Bioinform. Weizhong Zhao, Junze Wu, Xingpeng Jiang, Tingting He, Xiaohua Hu
2024	Misc	`conf`	Modality-Dependent Sentiments Exploring for Multi-Modal Sentiment Classification. ICASSP Jingzhe Li, Chengji Wang, Zhiming Luo, Yuxian Wu, Xingpeng Jiang
2024	J	`jnl`	Prediction of Drug-Disease Associations Based on Multi-Kernel Deep Learning Method in Heterogeneous Graph Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. Dandan Li, Zhen Xiao, Han Sun, Xingpeng Jiang, Weizhong Zhao, Xianjun Shen
2024	J	`jnl`	Subtask-Aware Representation Learning for Predicting Antibiotic Resistance Gene Properties via Gating-Controlled Mechanism. IEEE J. Biomed. Health Informatics Weizhong Zhao, Junze Wu, Shujie Luo, Xingpeng Jiang, Tingting He, Xiaohua Hu
2024	—	`conf`	Uncertainty-Aware Gradient Modulation and Feature Masking for Multimodal Sentiment Analysis. PRCV (11) Yuxian Wu, Chengji Wang, Jingzhe Li, Wenjing Zhang, Xingpeng Jiang
2024	J	`jnl`	sOCP: a framework predicting smORF coding potential based on TIS and in-frame features and effectively applied in the human genome. Briefings Bioinform. Zhao Peng, Jiaqiang Li, Xingpeng Jiang, Cuihong Wan
2023	J	`jnl`	A novel framework for deep knowledge tracing via gating-controlled forgetting and learning mechanisms. Inf. Process. Manag. Weizhong Zhao, Jun Xia, Xingpeng Jiang, Tingting He
2023	—	`conf`	An Effective Microbial-drug Relation Extraction Model Based on Dual Graph Convolutional Networks. BIBM Ruizhe Zhang, Dandan Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen
2023	—	`conf`	An Effective Model for Drug-Drug Interactions Prediction in Cold-start Scenario via Counterfactual Data Augmentation. BIBM Xueling Yuan, Weizhong Zhao, Xiaowei Xu, Xinhui Tu, Xingpeng Jiang, Tingting He
2023	J	`jnl`	An Effective Model for Predicting Phage-Host Interactions Via Graph Embedding Representation Learning With Multi-Head Attention Mechanism. IEEE J. Biomed. Health Informatics Yue Wang, Han Sun, Haodong Wang, Dandan Li, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen
2023	J	`jnl`	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. Weizhong Zhao, Wenjie Yao, Xingpeng Jiang, Tingting He, Chuan Shi, Xiaohua Hu
2023	—	`conf`	Cascade Decoding for Antibiotic Resistance Event Extraction Based on Contrastive Learning. BIBM Yanan Yao, Tian Yu, Huanghan Zhan, Weizhong Zhao, Tingting He, Xingpeng Jiang
2023	—	`conf`	Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction. BIBM Wenjie Yao, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xianjun Shen, Tingting He
2023	—	`conf`	Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm. BIBM Shengwei Ye, Weizhong Zhao, Xiaowei Xu, Xianjun Shen, Xingpeng Jiang, Tingting He
2023	J	`jnl`	Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health. Artif. Intell. Medicine Chengcheng Fu, Zhisheng Huang, Frank van Harmelen, Tingting He, Xingpeng Jiang
2023	—	`ed.`	IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, Istanbul, Turkiye, December 5-8, 2023 BIBM Xingpeng Jiang, HaiYing Wang, Reda Alhajj, Xiaohua Hu, Felix Engel, Mufti Mahmud, Nadia Pisanti, Xuefeng Cui, Hong Song
2023	J	`jnl`	Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion. Briefings Bioinform. Weizhong Zhao, Xueling Yuan, Xianjun Shen, Xingpeng Jiang, Chuan Shi, Tingting He, Xiaohua Hu
2023	—	`conf`	Multimodal reasoning for nutrition and human health via knowledge graph embedding. BIBM Chengcheng Fu, Yanan Yao, Jieyu Wu, Weizhong Zhao, Tingting He, Xingpeng Jiang
2023	—	`conf`	Predicting Microbe-Metabolite Interactions by Integrating Non-negative Matrix Factorization and Generative Network. BIBM Yi Jia, Shanshan Zheng, Tingting He, Xingpeng Jiang
2023	J	`jnl`	multiMiAT: an optimal microbiome-based association test for multicategory phenotypes. Briefings Bioinform. Han Sun, Yue Wang, Zhen Xiao, Xiaoyun Huang, Haodong Wang, Tingting He, Xingpeng Jiang
2022	—	`conf`	A Novel Drug Repositioning Model Based on Heterogeneous Graph Convolutional Network via Multi-task Learning. BIBM Shengwei Ye, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He
2022	—	`conf`	A Novel Protein Interface Prediction Framework via Hybrid Attention Mechanism. PAKDD (3) Haifang Wu, Shujie Luo, Weizhong Zhao, Xingpeng Jiang, Tingting He
2022	J	`jnl`	A multi-label learning framework for predicting antibiotic resistance genes via dual-view modeling. Briefings Bioinform. Weizhong Zhao, Shujie Luo, Haifang Wu, Xingpeng Jiang, Tingting He, Xiaohua Hu
2022	J	`jnl`	Detecting sparse microbial association signals adaptively from longitudinal microbiome data based on generalized estimating equations. Briefings Bioinform. Han Sun, Xiaoyun Huang, Ban Huo, Yuting Tan, Tingting He, Xingpeng Jiang
2022	J	`jnl`	Document-Level Chemical-Induced Disease Relation Extraction via Hierarchical Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Weizhong Zhao, Jinyong Zhang, Jincai Yang, Xingpeng Jiang, Tingting He
2022	C	`conf`	Food Recommendation for Mental Health by Using Knowledge Graph Approach. HIS Chengcheng Fu, Zhisheng Huang, Frank van Harmelen, Tingting He, Xingpeng Jiang
2022	J	`jnl`	Identifying Gene Network Rewiring Based on Partial Correlation. IEEE ACM Trans. Comput. Biol. Bioinform. Yuting Tan, Le Ou-Yang, Xingpeng Jiang, Hong Yan, Xiao-Fei Zhang
2022	—	`conf`	Inferring microbe-metabolite interactions by heterogeneous network fusion based on graph convolution network. BIBM Pei Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen
2022	—	`conf`	MPGNN-DSA: A Meta-path-based Graph Neural Network for drug-side effect association prediction. BIBM Wenjie Yao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen, Tingting He
2022	—	`conf`	Predicting human microbe-disease associations based on multi-source heterogeneous graph representation learning model. BIBM Haodong Wang, Han Sun, Yue Wang, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen
2022	—	`conf`	Prediction of Drug-Drug Interactions Based on Meta-path-based Fusion Mechanism in Heterogeneous Information Network. BIBM Xueling Yuan, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He
2022	J	`jnl`	Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction. IEEE ACM Trans. Comput. Biol. Bioinform. Yingjun Ma, Tingting He, Yuting Tan, Xingpeng Jiang
2021	J	`jnl`	An effective framework for semistructured document classification via hierarchical attention model. Int. J. Intell. Syst. Weizhong Zhao, Dandan Fang, Jinyong Zhang, Yao Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He
2021	—	`conf`	An improved RL-based framework for multiple biomedical event extraction via self-supervised learning. BIBM Yao Zhao, Weizhong Zhao, Xingpeng Jiang, Tingting He, Bianping Su
2021	J	`jnl`	Efficient multiple biomedical events extraction via reinforcement learning. Bioinform. Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li
2021	—	`conf`	MDepressionKG: a knowledge graph for metabolism-depression associations. ISAIMS Chengcheng Fu, Xiaobin Jiang, Tingting He, Xingpeng Jiang
2021	—	`conf`	Multi-type Microbial Relation Extraction by Transfer Learning. BIBM Xia Sun, Chengcheng Fu, Suoqi Liu, Wenjie Chen, Ran Zhong, Tingting He, Xingpeng Jiang
2021	—	`conf`	TopoPhy-CNN: Integrating Topological Information of Phylogenetic Tree for Host Phenotype Prediction From Metagenomic Data. BIBM Bojing Li, Duo Zhong, Xingpeng Jiang, Tingting He
2021	—	`conf`	Triple-view Learning for Predicting Antibiotic Resistance Genes. BIBM Shujie Luo, Haifang Wu, Weizhong Zhao, Xingpeng Jiang, Tingting He
2020	—	`conf`	A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases. BIBM Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li
2020	—	`conf`	An Effective Framework for Document-level Chemical-induced Disease Relation Extraction via Fine-grained Interaction between Contexts. BIBM Jinyong Zhang, Weizhong Zhao, Jincai Yang, Xingpeng Jiang, Tingting He
2020	C	`conf`	An Integrated Knowledge Graph for Microbe-Disease Associations. HIS Chengcheng Fu, Ran Zhong, Xiaobin Jiang, Tingting He, Xingpeng Jiang
2020	J	`jnl`	An end-to-end framework for biomedical event trigger identification with hierarchical attention and adaptive cost learning. Int. J. Data Min. Bioinform. Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He
2020	J	`jnl`	Clustering and Integrating of Heterogeneous Microbiome Data by Joint Symmetric Nonnegative Matrix Factorization with Laplacian Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jiang
2020	—	`conf`	Knowledge-aware Few-shot Learning Framework for Biomedical Event Trigger Identification. BIBM Shujuan Yin, Weizhong Zhao, Xingpeng Jiang, Tingting He
2020	J	`jnl`	Sequence clustering in bioinformatics: an empirical study. Briefings Bioinform. Quan Zou, Gang Lin, Xingpeng Jiang, Xiangrong Liu, Xiangxiang Zeng
2020	—	`conf`	Virus Named Entity Recognition based on Pre-training Model. BIBM Hanlin Mou, Shanshan Zheng, Haifang Wu, Bojing Li, Tingting He, Xingpeng Jiang
2019	J	`jnl`	A hybrid deep learning framework for bacterial named entity recognition with domain features. BMC Bioinform. Xusheng Li, Chengcheng Fu, Ran Zhong, Duo Zhong, Tingting He, Xingpeng Jiang
2019	—	`conf`	An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention. BIBM Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He
2019	J	`jnl`	An adaptive term proximity based rocchio's model for clinical decision support retrieval. BMC Medical Informatics Decis. Mak. Min Pan, Yue Zhang, Qiang Zhu, Bo Sun, Tingting He, Xingpeng Jiang
2019	—	`conf`	Bacterial Named Entity Recognition Based on Language Model. BIBM Xusheng Li, Chengcheng Fu, Ran Zhong, Duo Zhong, Tingting He, Xingpeng Jiang
2019	—	`conf`	Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification. IEEE BigData Dandan Fang, Jinyong Zhang, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He
2019	—	`conf`	Hypergraph Clustering Based on Intra-class Scatter Matrix for Mining Higher-order Microbial Module. BIBM Limin Yu, Xianjun Shen, Xingpeng Jiang, Jincai Yang, Yujuan Yang, Duo Zhong
2019	—	`conf`	Integrating Deep Textual Features to Probability Matrix Factorization for Metabolite-disease Association Prediction. BIBM Qing Zhu, Chang Han, Qiang Zhu, Tingting He, Xingpeng Jiang
2019	—	`conf`	Microbial Interaction Extraction from Biomedical Literature using Max-Bi-LSTM. BIBM Ran Zhong, Xusheng Li, Xia Sun, Chengcheng Fu, Tingting He, Xingpeng Jiang
2019	—	`conf`	Predicting LncRNA-disease Association by Autoencoder and Rotation Forest. BIBM Jincai Yang, Shunping Ma, Xingpeng Jiang
2019	J	`jnl`	Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion. BMC Bioinform. Dan Liu, Yingjun Ma, Xingpeng Jiang, Tingting He
2018	—	`conf`	A Hybrid Deep Learning Framework for Bacterial Named Entity Recognition. BIBM Xusheng Li, Xiaoyan Wang, Ran Zhong, Duo Zhong, Tingting He, Xiaohua Hu, Xingpeng Jiang
2018	—	`conf`	A Novel Approach Based on Bi-Random Walk to Predict Microbe-Disease Associations. ICIC (3) Xianjun Shen, Huan Zhu, Xingpeng Jiang, Xiaohua Hu, Jincai Yang
2018	—	`conf`	An Enhanced HAL-Based Pseudo Relevance Feedback Model in Clinical Decision Support Retrieval. ICIC (2) Min Pan, Yue Zhang, Tingting He, Xingpeng Jiang
2018	—	`conf`	An Ensemble Feature Selection Method Based on Deep Forest for Microbiome-Wide Association Studies. BIBM Qiang Zhu, Min Pan, Lei Liu, Bojing Li, Tingting He, Xingpeng Jiang, Xiaohua Hu
2018	—	`conf`	ESNMF: Evolutionary Symmetric Nonnegative Matrix Factorization for Dissecting Dynamic Microbial Networks. ICIC (3) Yuanyuan Ma, Xiaohua Hu, Tingting He, Xianchao Zhu, Meijun Zhou, Xingpeng Jiang
2018	—	`conf`	High-order Organization of Weighted Microbial Interaction Network. BIBM Xianjun Shen, Xue Gong, Xingpeng Jiang, Jincai Yang, Tingting He, Xiaohua Hu
2018	—	`ed.`	Intelligence Science and Big Data Engineering - 8th International Conference, IScIDE 2018, Lanzhou, China, August 18-19, 2018, Revised Selected Papers IScIDE Yuxin Peng, Kai Yu, Jiwen Lu, Xingpeng Jiang
2018	—	`conf`	Kernel Soft-neighborhood Network Fusion for MiRNA-Disease Interaction Prediction. BIBM Yingiun Ma, Leixin Ge, Yuanyuan Ma, Xingpeng Jiang, Tingting He, Xiaohua Hu
2018	J	`jnl`	Nonlinear expression and visualization of nonmetric relationships in genetic diseases and microbiome data. BMC Bioinform. Xianchao Zhu, Xianjun Shen, Xingpeng Jiang, Kaiping Wei, Tingting He, Yuanyuan Ma, Jiaqi Liu, Xiaohua Hu
2018	—	`conf`	Predicting Microbe-Disease Association by Kernelized Bayesian Matrix Factorization. ICIC (2) Sisi Chen, Dan Liu, Jia Zheng, Pingtao Chen, Xiaohua Hu, Xingpeng Jiang
2018	—	`conf`	Prediction of Long Non-coding RNA-protein Interaction through Kernel Soft-neighborhood Similarity. BIBM Yingiun Ma, Limin Yu, Tingting He, Xiaohua Hu, Xingpeng Jiang
2018	—	`conf`	The Phylogenetic Tree based Deep Forest for Metagenomic Data Classification. BIBM Qiang Zhu, Qing Zhu, Min Pan, Xingpeng Jiang, Xiaohua Hu, Tingting He
2018	—	`conf`	Virus-host Association Prediction by using Kernelized Logistic Matrix Factorization on Heterogeneous Networks. BIBM Dan Liu, Xiaohua Hu, Tingting He, Xingpeng Jiang
2017	—	`conf`	Bacterial named entity recognition based on dictionary and conditional random field. BIBM Xiaoyan Wang, Xingpeng Jiang, Mengwen Liu, Tingting He, Xiaohua Hu
2017	—	`conf`	Classify and identify the risky loci of type 2 diabetes with computational method. BIBM Jincai Yang, Fuli Zhang, Xingpeng Jiang, Xianjun Shen, Xiaohua Hu
2017	J	`jnl`	Identifying the Risky SNP of Osteoporosis with ID3-PEP Decision Tree Algorithm. Complex. Jincai Yang, Huichao Gu, Xingpeng Jiang, Qingyang Huang, Xiaohua Hu, Xianjun Shen
2017	—	`conf`	Machine learning approaches for cyanobacteria bloom prediction using metagenomic sequence data, a case study. BIBM Jiandong Huang, Huiru Zheng, Haying Wang, Xingpeng Jiang
2017	J	`jnl`	Microbiome Data Representation by Joint Nonnegative Matrix Factorization with Laplacian Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. Xingpeng Jiang, Xiaohua Hu, Weiwei Xu
2017	J	`jnl`	Multi-View Clustering of Microbiome Samples by Robust Similarity Network Fusion and Spectral Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. Yong Zhang, Xiaohua Hu, Xingpeng Jiang
2017	J	`jnl`	Predicting microbial interactions from time series data with network information. Int. J. Data Min. Bioinform. Yan Wang, Mingzhi Mao, Fang Li, Wenping Deng, Shaowu Shen, Xingpeng Jiang
2017	—	`conf`	Systematic characterization and prediction of tumor-associated genes in mouse using microrna. BIBM Jincai Yang, Chunjie Guo, Xingpeng Jiang, Xiaohua Hu, Xianjun Shen
2017	—	`conf`	The modularity of microbial interaction network in healthy human saliva: Stability and specificity. BIBM Dan Liu, Xingpeng Jiang, Huiru Jane Zheng, Bo Xie, Haiying Wang, Tingting He, Xiaohua Hu
2017	—	`conf`	Visualization of disease relationships by multiple maps t-SNE regularization based on Nesterov accelerated gradient. BIBM Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Tingting He, Xiaohua Hu
2017	—	`conf`	Visualization of non-metric relationships by adaptive learning multiple maps t-SNE regularization. IEEE BigData Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Li Gao, Tingting He, Xiaohua Hu
2016	—	`conf`	A novel identified temporal protein complexes strategy inspired by density-distance and brainstorming process. BIBM Xianjun Shen, Jin Zhou, Xingpeng Jiang, Xiaohua Hu, Tingting He, Jincai Yang, Dan Xie
2016	J	`jnl`	Identification of the clustering structure in microbiome data by density clustering on the Manhattan distance. Sci. China Inf. Sci. Xingpeng Jiang, Xiaohua Hu, Tingting He
2016	—	`conf`	Multi-view clustering microbiome data by joint symmetric nonnegative matrix factorization with Laplacian regularization. BIBM Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jiang
2016	—	`conf`	Predicting disease-microbe association by random walking on the heterogeneous network. BIBM Xianjun Shen, Yao Chen, Xingpeng Jiang, Xiaohua Hu, Tingting He, Jincai Yang
2016	—	`conf`	Walking in the PPI network to identify the risky SNP of osteoporosis with decision tree algorithm. BIBM Jincai Yang, Huichao Gu, Xingpeng Jiang, Qingyang Huang, Xiaohua Hu, Xianjun Shen
2015	—	`conf`	A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis. BIBM Yetian Fan, Xingpeng Jiang, Xiaohua Hu, Bo Song, Yuan Ling, Wei Wu
2015	—	`conf`	Detecting temporal protein complexes based on Neighbor Closeness and time course protein interaction networks. BIBM Xianjun Shen, Yi Li, Xingpeng Jiang, Yanli Zhao, Tingting He, Jincai Yang
2015	J	`jnl`	Predicting Microbial Interactions Using Vector Autoregressive Model with Graph Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. Xingpeng Jiang, Xiaohua Hu, Weiwei Xu, E. K. Park
2015	—	`conf`	Predicting disease genes based on normalized protein modules and phenotype ontology. BIBM Jie Yuan, Xingpeng Jiang, Tingting He, Yan Wang, Xiyue Guo
2015	—	`conf`	Predicting microbial interactions by using network-constrained regularization incorporating covariate coefficients and connection signs. BIBM Yan Wang, Xiaohua Hu, Xingpeng Jiang, Tingting He, Jie Yuan
2015	—	`conf`	Time series analysis of microbiome data regularized by local linear manifold. BIBM Xingpeng Jiang, Xiaohua Hu, Tingting He
2015	J	`jnl`	Weighted fusion regularisation and predicting microbial interactions with vector autoregressive model. Int. J. Data Min. Bioinform. Yan Wang, Tingting He, Xingpeng Jiang, Jie Yuan, Xianjun Shen
2014	—	`conf`	Accelerating microbiomic big data analysis by spectral interpolation. BIBM Bo Song, Xingpeng Jiang, Xiaohua Hu
2014	—	`conf`	Document Clustering with an Augmented Nonnegative Matrix Factorization Model. PAKDD (2) Zunyan Xiong, Yizhou Zang, Xingpeng Jiang, Xiaohua Hu
2014	—	`conf`	Joint Analysis of Functional and Phylogenetic Composition for Human Microbiome Data. ISBRA Xingpeng Jiang, Xiaohua Hu, Weiwei Xu
2014	—	`conf`	LA2SNE: A novel stochastic neighbor embedding approach for microbiome data visualization. BIBM Weiwei Xu, Rong Xie, Xingpeng Jiang, Xiaohua Hu
2014	—	`conf`	Microbiome data integration by robust similarity network fusion. BIBM Xingpeng Jiang, Xiaohua Hu
2014	—	`conf`	Microbiome dynamics analysis using a novel multivariate vector autoregression model with weighted fusion regularization. BIBM Yan Wang, Xingpeng Jiang, Xiaohua Hu, Tingting He, Xianjun Shen, Jie Yuan
2013	—	`conf`	Inference of microbial interactions from time series data using vector autoregression model. BIBM Xingpeng Jiang, Xiaohua Hu, Weiwei Xu, Guangrong Li, Yongli Wang
2013	—	`conf`	Manifold-constrained regularization for variable selection in envrionmental microbiomic data. BIBM Xingpeng Jiang, Xiaohua Hu, Weiwei Xu, Yongli Wang
2013	—	`conf`	Mining the maximum conserved functional module from the alignment of pairwise protein interaction networks. BIBM Xueqin Zhuang, Yongli Wang, Xiaohui Jiang, Xingpeng Jiang
2013	—	`conf`	Nonmetric property of diabetes-related genes in human gut microbiome. BIBM Weiwei Xu, Xingpeng Jiang, Guangrong Li
2012	—	`conf`	Identifying enterotype in human microbiome by decomposing probabilistic topics into components. BIBM Xingpeng Jiang, Jonathan Dushoff, Xin Chen, Xiaohua Hu
2012	—	`conf`	Manifold learning reveals nonlinear structure in metagenomic profiles. BIBM Xingpeng Jiang, Xiaohua Hu, Huiyu Shen, Tingting He
2008	J	`jnl`	Systematic benchmarking of microarray data feature extraction and classification. Int. J. Comput. Math. Jing Zhang, Tianzi Jiang, Bing Liu, Xingpeng Jiang, Huizhi Zhao