Xiangrong Liu

According to our database, Xiangrong Liu authored at least 64 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MOASL: Predicting drug mechanism of actions through similarity learning with transcriptomic signature.

Likun Jiang, Susu Qu, Zhengqiu Yu, Jianmin Wang, Xiangrong Liu

Comput. Biol. Medicine, February, 2024

2023

A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks.

Shuting Jin, Yue Hong, Li Zeng, Yinghui Jiang, Yuan Lin, Leyi Wei, Zhuohang Yu, Xiangxiang Zeng, Xiangrong Liu

PLoS Comput. Biol., November, 2023

MSGCL: inferring miRNA-disease associations based on multi-view self-supervised graph structure contrastive learning.

Xinru Ruan, Changzhi Jiang, Peixuan Lin, Yuan Lin, Juan Liu, Shaohui Huang, Xiangrong Liu

Briefings Bioinform., March, 2023

KGNMDA: A Knowledge Graph Neural Network Method for Predicting Microbe-Disease Associations.

Changzhi Jiang, Minli Tang, Shuting Jin, Wei Huang, Xiangrong Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Bioactive Peptide Recognition Based on NLP Pre-Train Algorithm.

Likun Jiang, Nan Sun, Yue Zhang, Xinyu Yu, Xiangrong Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Uncertainty-Confidence Fused Pseudo-labeling for Graph Neural Networks.

Pingjiang Long, Zihao Jian, Xiangrong Liu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Fast Accurate Fish Recognition with Deep Learning Based on a Domain-Specific Large-Scale Fish Dataset.

Yuan Lin, Zhaoqi Chu, Jari Korhonen, Jiayi Xu, Xiangrong Liu, Juan Liu, Min Liu, Lvping Fang, Weidi Yang, Debasish Ghose, Junyong You

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Attention-Aware Contrastive Learning for Predicting Peptide-HLA Binding Specificity.

Pengyu Luo, Yuehan Huang, Xinyi Zhang, Lian Shen, Yuan Lin, Xiangrong Liu, Xiaoyang Huang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

MGCPI: A Multi-granularity Neural Network for Predicting Compound-Protein Interactions.

Peixuan Lin, Likun Jiang, Fatma S. Ahmed, Xinru Ruan, Xiangrong Liu, Juan Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

RareDR: A Drug Repositioning Approach for Rare Diseases Based on Knowledge Graph.

Yuehan Huang, Shuting Jin, Xinyu Yu, Changzhi Jiang, Zhengqiu Yu, Xiangrong Liu, Shaohui Huang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

LaGAT: link-aware graph attention network for drug-drug interaction prediction.

Yue Hong, Pengyu Luo, Shuting Jin, Xiangrong Liu

Bioinform., December, 2022

A Deep Ensemble Predictor for Identifying Anti-Hypertensive Peptides Using Pretrained Protein Embedding.

Yuanying Zhuang, Xiangrong Liu, Yue Zhong, Longxin Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Effect of price reduction on renewable energy technology supply chain performance and contract design.

Chuanhui Xiong, Anna G. Devlin, Jatinder N. D. Gupta, Xiangrong Liu

J. Oper. Res. Soc., 2022

The challenges of explainable AI in biomedical data science.

Henry Han, Xiangrong Liu

BMC Bioinform., 2022

MLysPRED: graph-based multi-view clustering and multi-dimensional normal distribution resampling techniques to predict multiple lysine sites.

Yun Zuo, Yue Hong, Xiangxiang Zeng, Qiang Zhang, Xiangrong Liu

Briefings Bioinform., 2022

preMLI: a pre-trained method to uncover microRNA-lncRNA potential interactions.

Xinyu Yu, Likun Jiang, Shuting Jin, Xiangxiang Zeng, Xiangrong Liu

Briefings Bioinform., 2022

DeepTTA: a transformer-based model for predicting cancer drug response.

Likun Jiang, Changzhi Jiang, Xinyu Yu, Rao Fu, Shuting Jin, Xiangrong Liu

Briefings Bioinform., 2022

Drug-target interactions prediction via deep collaborative filtering with multiembeddings.

Ruolan Chen, Feng Xia, Bing Hu, Shuting Jin, Xiangrong Liu

Briefings Bioinform., 2022

2021

HeTDR: Drug repositioning based on heterogeneous networks and text mining.

Shuting Jin, Zhangming Niu, Changzhi Jiang, Wei Huang, Feng Xia, Xurui Jin, Xiangrong Liu, Xiangxiang Zeng

Patterns, 2021

Editorial: Membrane Computing. A Special Issue Dedicated to Gheorghe Păun on his 70th Birthday.

Gexiang Zhang, Linqiang Pan, Xiangrong Liu

Int. J. Unconv. Comput., 2021

Neural-like P systems with plasmids.

Francis George C. Cabarle, Xiangxiang Zeng, Niall Murphy, Tao Song, Alfonso Rodríguez-Patón, Xiangrong Liu

Inf. Comput., 2021

Heterogeneous network-based drug repurposing for COVID-19.

Shuting Jin, Xiangxiang Zeng, Wei Huang, Feng Xia, Changzhi Jiang, Xiangrong Liu, Shaoliang Peng

CoRR, 2021

CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques.

Yun Zuo, Jianyuan Lin, Xiangxiang Zeng, Quan Zou, Xiangrong Liu

BMC Bioinform., 2021

A novel antibacterial peptide recognition algorithm based on BERT.

Yue Zhang, Jianyuan Lin, Lianmin Zhao, Xiangxiang Zeng, Xiangrong Liu

Briefings Bioinform., 2021

Predicting enhancer-promoter interactions by deep learning and matching heuristic.

Xiaoping Min, Congmin Ye, Xiangrong Liu, Xiangxiang Zeng

Briefings Bioinform., 2021

Application of deep learning methods in biological networks.

Shuting Jin, Xiangxiang Zeng, Feng Xia, Wei Huang, Xiangrong Liu

Briefings Bioinform., 2021

Pm⁶ A: an Integrated Classification Algorithm for 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Identifying m⁶ A Sites.

Yun Zuo, Xiangrong Liu, Xiangxiang Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

A Meta-Path based Drug-Target Prediction Model with Collaborative Attention Mechanisms.

Bing Hu, Feng Xia, Ruolan Chen, Shuting Jin, Xiangrong Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Multiobjective Particle Swarm Optimization Based on Network Embedding for Complex Network Community Detection.

Xiangrong Liu, Yanzi Du, Min Jiang, Xiangxiang Zeng

IEEE Trans. Comput. Soc. Syst., 2020

Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism.

Zengyan Hong, Xiangxiang Zeng, Leyi Wei, Xiangrong Liu

Bioinform., 2020

Sequence clustering in bioinformatics: an empirical study.

Quan Zou, Gang Lin, Xingpeng Jiang, Xiangrong Liu, Xiangxiang Zeng

Briefings Bioinform., 2020

Computational methods for identifying the critical nodes in biological networks.

Xiangrong Liu, Zengyan Hong, Juan Liu, Yuan Lin, Alfonso Rodríguez-Patón, Quan Zou, Xiangxiang Zeng

Briefings Bioinform., 2020

A multi-task learning method for analyzing microbiota as cancer immunotherapy signal.

Changzhi Jiang, Yousi Fu, Shuting Jin, Xiangrong Liu, Baishan Fang, Xiangxiang Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Computational Prediction of Sigma-54 Promoters in Bacterial Genomes by Integrating Motif Finding and Machine Learning Strategies.

Bingqiang Liu, Ling Han, Xiangrong Liu, Jichang Wu, Qin Ma

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

On solutions and representations of spiking neural P systems with rules on synapses.

Francis George C. Cabarle, Ren Tristan A. de la Cruz, Dionne Peter P. Cailipan, Defu Zhang, Xiangrong Liu, Xiangxiang Zeng

Inf. Sci., 2019

An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies.

Yuan Lin, Yinyin Cai, Juan Liu, Chen Lin, Xiangrong Liu

BMC Bioinform., 2019

deepDR: a network-based deep learning approach to in silico drug repositioning.

Xiangxiang Zeng, Siyi Zhu, Xiangrong Liu, Yadi Zhou, Ruth Nussinov, Feixiong Cheng

Bioinform., 2019

Predicting of Associations Between MicroRNA and Human Diseases Based on Multiple Similarities and Arbitrarily-Order Proximity Network Embedding.

Xiujin Wu, Wenhua Zeng, Yuxiu Xu, Beizhan Wang, Xiangrong Liu, Fan Lin, Gil Alterovitz

IEEE Access, 2019

A Novel Deceptive Jamming Method Via Frequency Diverse Array.

Wei Mao, Hui Wang, Shunsheng Zhang, Xiangrong Liu

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

PolSAR Image Edge Detection via Structure Tensor Analysis.

Xiangrong Liu, Wei Mao, Shunsheng Zhang, Lei Wu, Wen-Qin Wang

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Two-Dimensional Imaging With Stationary Nonuniform Frequency Diverse Array Transmitter.

Xiangrong Liu, Wei Mao, Lei Wu

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A Deep Neural Network for Antimicrobial Peptide Recognition.

Jianyuan Lin, Xiangxiang Zeng, Yun Zuo, Ying Ju, Xiangrong Liu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Structural Hole Spanner in HumanNet Identifies Disease Gene and Drug targets.

Xiangxiang Zeng, Jiawei Lin, Chen Lin, Xiangrong Liu, Alfonso Rodríguez-Patón

IEEE Access, 2018

A Real-Time Distributed Deep Learning Approach for Intelligent Event Recognition in Long Distance Pipeline Monitoring with DOFS.

Jiping Chen, Hui-Juan Wu, Xiangrong Liu, Yao Xiao, Mengjiao Wang, Mingru Yang, Yunjiang Rao

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018

An Implementation of Elementary Arithmetic with Virus Machine.

Xiaoshan Yan, Xiangrong Liu, Xiangxiang Zeng, Alfonso Rodríguez-Patón

Proceedings of the Enjoying Natural Computing, 2018

DNA Strand Displacement Based on Nicking Enzyme for DNA Logic Circuits.

Gaiying Wang, Zhiyu Wang, Xiaoshan Yan, Xiangrong Liu

Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

A Weighted Bagging LightGBM Model for Potential lncRNA-Disease Association Identification.

Xin Chen, Xiangrong Liu

Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

2017

Deep-based fisher vector for mobile visual search.

Chen Huang, Shengchuan Zhang, Xianming Lin, Xiangrong Liu, Rongrong Ji

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Question microblog identification and answer recommendation.

Xiangrong Liu, Runquan Xie, Chen Lin, Liujuan Cao

Multim. Syst., 2016

Investment behavior prediction in heterogeneous information network.

Xiangxiang Zeng, You Li, Stephen C. H. Leung, Ziyu Lin, Xiangrong Liu

Neurocomputing, 2016

2015

Asynchronous Spiking Neural P Systems with Anti-Spikes.

Tao Song, Xiangrong Liu, Xiangxiang Zeng

Neural Process. Lett., 2015

A uniform solution to integer factorization using time-free spiking neural P system.

Xiangrong Liu, Ziming Li, Juan Suo, Juan Liu, Xiaoping Min

Neural Comput. Appl., 2015

Asynchronous spiking neural P systems with rules on synapses.

Tao Song, Quan Zou, Xiangrong Liu, Xiangxiang Zeng

Neurocomputing, 2015

The power of time-free tissue P systems: Attacking NP-complete problems.

Xiangrong Liu, Juan Suo, Stephen C. H. Leung, Juan Liu, Xiangxiang Zeng

Neurocomputing, 2015

2014

Solving Multidimensional 0-1 Knapsack Problem with Time-Free Tissue P Systems.

Xiangrong Liu, Ziming Li, Juan Suo, Ying Ju, Juan Liu, Xiangxiang Zeng

J. Appl. Math., 2014

On languages generated by spiking neural P systems with weights.

Xiangxiang Zeng, Lei Xu, Xiangrong Liu, Linqiang Pan

Inf. Sci., 2014

Identifying Reliable Posts and Users in Online Social Networks.

Sifa Xie, Wei Weng, Ke Chen, Xiangrong Liu

Int. J. Pattern Recognit. Artif. Intell., 2014

Time-Free Tissue P Systems for Solving the Hamilton Path Problem.

Xiangxiang Zeng, Ningxiang Ding, Fei Xing, Xiangrong Liu

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014

2010

Development of an in vivo computer for the SAT problem.

Xiangrong Liu, Shudong Wang

Math. Comput. Model., 2010

A novel computing model of the maximum clique problem based on circular DNA.

Jing Yang, Cheng Zhang, Jin Xu, Xiangrong Liu, Xiaoli Qiang

Sci. China Inf. Sci., 2010

Quantitative modeling and simulation of Anterior Chamber in OCT images.

Le Su, Ying Ju, Xiangrong Liu

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

A programmable biomolecular computing devices with RNAi.

Xiangrong Liu, Xiaoying Shi, Ying Ju

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2006

Predicting Melting Temperature (Tm) of DNA Duplex Based on Neural Network.

Xiangrong Liu, Wenbin Liu, Juan Liu, Linqiang Pan, Jin Xu

Proceedings of the Computational Intelligence and Bioinformatics, 2006

2003

Solving the 3-SAT Problem Based on DNA Computing.

Wenbin Liu, Lin Gao, Xiangrong Liu, Shudong Wang, Jin Xu

J. Chem. Inf. Comput. Sci., 2003