Xiangrong Liu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 57

Top Topics

Knapsack Problem

Top Venues

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Fatma S. Ahmed, Saleh Aly, Xiangrong Liu
EPI-Trans: an effective transformer-based deep learning model for enhancer promoter interaction prediction. BMC Bioinform. 25 (1) (2024)
Weinan Liu, Zhihao Zhang, Xiangrong Liu, Yiming Zhang
FlexMem: Proactive Memory Deduplication for Qcow2-Based VMs with Virtual Persistent Memory. APNet (2024)
Likun Jiang, Susu Qu, Zhengqiu Yu, Jianmin Wang, Xiangrong Liu
MOASL: Predicting drug mechanism of actions through similarity learning with transcriptomic signature. Comput. Biol. Medicine 169 (2024)
Menglong Zhang, Yue Hong, Lian Shen, Shiyu Xu, Yanni Xu, Xinyi Zhang, Juan Liu, Xiangrong Liu
A heterogeneous graph neural network with automatic discovery of effective metapaths for drug-target interaction prediction. Future Gener. Comput. Syst. 160 (2024)
Pingjiang Long, Zihao Jian, Xiangrong Liu
Uncertainty-Confidence Fused Pseudo-labeling for Graph Neural Networks. PRCV (9) (2023)
Yuehan Huang, Shuting Jin, Xinyu Yu, Changzhi Jiang, Zhengqiu Yu, Xiangrong Liu, Shaohui Huang
RareDR: A Drug Repositioning Approach for Rare Diseases Based on Knowledge Graph. ICIC (3) (2023)
Pengyu Luo, Yuehan Huang, Xinyi Zhang, Lian Shen, Yuan Lin, Xiangrong Liu, Xiaoyang Huang
Attention-Aware Contrastive Learning for Predicting Peptide-HLA Binding Specificity. ICIC (3) (2023)
Likun Jiang, Nan Sun, Yue Zhang, Xinyu Yu, Xiangrong Liu
Bioactive Peptide Recognition Based on NLP Pre-Train Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Peixuan Lin, Likun Jiang, Fatma S. Ahmed, Xinru Ruan, Xiangrong Liu, Juan Liu
MGCPI: A Multi-granularity Neural Network for Predicting Compound-Protein Interactions. ICIC (3) (2023)
Yuan Lin, Zhaoqi Chu, Jari Korhonen, Jiayi Xu, Xiangrong Liu, Juan Liu, Min Liu, Lvping Fang, Weidi Yang, Debasish Ghose, Junyong You
Fast Accurate Fish Recognition with Deep Learning Based on a Domain-Specific Large-Scale Fish Dataset. MMM (1) (2023)
Shuting Jin, Yue Hong, Li Zeng, Yinghui Jiang, Yuan Lin, Leyi Wei, Zhuohang Yu, Xiangxiang Zeng, Xiangrong Liu
A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks. PLoS Comput. Biol. 19 (11) (2023)
Changzhi Jiang, Minli Tang, Shuting Jin, Wei Huang, Xiangrong Liu
KGNMDA: A Knowledge Graph Neural Network Method for Predicting Microbe-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Xinru Ruan, Changzhi Jiang, Peixuan Lin, Yuan Lin, Juan Liu, Shaohui Huang, Xiangrong Liu
MSGCL: inferring miRNA-disease associations based on multi-view self-supervised graph structure contrastive learning. Briefings Bioinform. 24 (2) (2023)
Henry Han, Xiangrong Liu
The challenges of explainable AI in biomedical data science. BMC Bioinform. (12) (2022)
Chuanhui Xiong, Anna G. Devlin, Jatinder N. D. Gupta, Xiangrong Liu
Effect of price reduction on renewable energy technology supply chain performance and contract design. J. Oper. Res. Soc. 73 (4) (2022)
Ruolan Chen, Feng Xia, Bing Hu, Shuting Jin, Xiangrong Liu
Drug-target interactions prediction via deep collaborative filtering with multiembeddings. Briefings Bioinform. 23 (2) (2022)
Xinyu Yu, Likun Jiang, Shuting Jin, Xiangxiang Zeng, Xiangrong Liu
preMLI: a pre-trained method to uncover microRNA-lncRNA potential interactions. Briefings Bioinform. 23 (1) (2022)
Yue Hong, Pengyu Luo, Shuting Jin, Xiangrong Liu
LaGAT: link-aware graph attention network for drug-drug interaction prediction. Bioinform. 38 (24) (2022)
Yuanying Zhuang, Xiangrong Liu, Yue Zhong, Longxin Wu
A Deep Ensemble Predictor for Identifying Anti-Hypertensive Peptides Using Pretrained Protein Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Likun Jiang, Changzhi Jiang, Xinyu Yu, Rao Fu, Shuting Jin, Xiangrong Liu
DeepTTA: a transformer-based model for predicting cancer drug response. Briefings Bioinform. 23 (3) (2022)
Yun Zuo, Yue Hong, Xiangxiang Zeng, Qiang Zhang, Xiangrong Liu
MLysPRED: graph-based multi-view clustering and multi-dimensional normal distribution resampling techniques to predict multiple lysine sites. Briefings Bioinform. 23 (5) (2022)
Yun Zuo, Xiangrong Liu, Xiangxiang Zeng
A Sites. BIBM (2021)
Shuting Jin, Xiangxiang Zeng, Feng Xia, Wei Huang, Xiangrong Liu
Application of deep learning methods in biological networks. Briefings Bioinform. 22 (2) (2021)
Shuting Jin, Xiangxiang Zeng, Wei Huang, Feng Xia, Changzhi Jiang, Xiangrong Liu, Shaoliang Peng
Heterogeneous network-based drug repurposing for COVID-19. CoRR (2021)
Gexiang Zhang, Linqiang Pan, Xiangrong Liu
Editorial: Membrane Computing. A Special Issue Dedicated to Gheorghe Păun on his 70th Birthday. Int. J. Unconv. Comput. 16 (2-3) (2021)
Yun Zuo, Jianyuan Lin, Xiangxiang Zeng, Quan Zou, Xiangrong Liu
CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques. BMC Bioinform. 22 (1) (2021)
Shuting Jin, Zhangming Niu, Changzhi Jiang, Wei Huang, Feng Xia, Xurui Jin, Xiangrong Liu, Xiangxiang Zeng
HeTDR: Drug repositioning based on heterogeneous networks and text mining. Patterns 2 (8) (2021)
Xiaoping Min, Congmin Ye, Xiangrong Liu, Xiangxiang Zeng
Predicting enhancer-promoter interactions by deep learning and matching heuristic. Briefings Bioinform. 22 (4) (2021)
Yue Zhang, Jianyuan Lin, Lianmin Zhao, Xiangxiang Zeng, Xiangrong Liu
A novel antibacterial peptide recognition algorithm based on BERT. Briefings Bioinform. 22 (6) (2021)
Bing Hu, Feng Xia, Ruolan Chen, Shuting Jin, Xiangrong Liu
A Meta-Path based Drug-Target Prediction Model with Collaborative Attention Mechanisms. BIBM (2021)
Francis George C. Cabarle, Xiangxiang Zeng, Niall Murphy, Tao Song, Alfonso Rodríguez-Patón, Xiangrong Liu
Neural-like P systems with plasmids. Inf. Comput. 281 (2021)
Quan Zou, Gang Lin, Xingpeng Jiang, Xiangrong Liu, Xiangxiang Zeng
Sequence clustering in bioinformatics: an empirical study. Briefings Bioinform. 21 (1) (2020)
Xiangrong Liu, Zengyan Hong, Juan Liu, Yuan Lin, Alfonso Rodríguez-Patón, Quan Zou, Xiangxiang Zeng
Computational methods for identifying the critical nodes in biological networks. Briefings Bioinform. 21 (2) (2020)
Xiangrong Liu, Yanzi Du, Min Jiang, Xiangxiang Zeng
Multiobjective Particle Swarm Optimization Based on Network Embedding for Complex Network Community Detection. IEEE Trans. Comput. Soc. Syst. 7 (2) (2020)
Zengyan Hong, Xiangxiang Zeng, Leyi Wei, Xiangrong Liu
Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism. Bioinform. 36 (4) (2020)
Changzhi Jiang, Yousi Fu, Shuting Jin, Xiangrong Liu, Baishan Fang, Xiangxiang Zeng
A multi-task learning method for analyzing microbiota as cancer immunotherapy signal. BIBM (2020)
Francis George C. Cabarle, Ren Tristan A. de la Cruz, Dionne Peter P. Cailipan, Defu Zhang, Xiangrong Liu, Xiangxiang Zeng
On solutions and representations of spiking neural P systems with rules on synapses. Inf. Sci. 501 (2019)
Xiujin Wu, Wenhua Zeng, Yuxiu Xu, Beizhan Wang, Xiangrong Liu, Fan Lin, Gil Alterovitz
Predicting of Associations Between MicroRNA and Human Diseases Based on Multiple Similarities and Arbitrarily-Order Proximity Network Embedding. IEEE Access 7 (2019)
Xiangrong Liu, Wei Mao, Shunsheng Zhang, Lei Wu, Wen-Qin Wang
PolSAR Image Edge Detection via Structure Tensor Analysis. IGARSS (2019)
Jianyuan Lin, Xiangxiang Zeng, Yun Zuo, Ying Ju, Xiangrong Liu
A Deep Neural Network for Antimicrobial Peptide Recognition. BIBM (2019)
Bingqiang Liu, Ling Han, Xiangrong Liu, Jichang Wu, Qin Ma
Computational Prediction of Sigma-54 Promoters in Bacterial Genomes by Integrating Motif Finding and Machine Learning Strategies. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Xiangxiang Zeng, Siyi Zhu, Xiangrong Liu, Yadi Zhou, Ruth Nussinov, Feixiong Cheng
deepDR: a network-based deep learning approach to in silico drug repositioning. Bioinform. 35 (24) (2019)
Wei Mao, Hui Wang, Shunsheng Zhang, Xiangrong Liu
A Novel Deceptive Jamming Method Via Frequency Diverse Array. IGARSS (2019)
Yuan Lin, Yinyin Cai, Juan Liu, Chen Lin, Xiangrong Liu
An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies. BMC Bioinform. (8) (2019)
Xiangrong Liu, Wei Mao, Lei Wu
Two-Dimensional Imaging With Stationary Nonuniform Frequency Diverse Array Transmitter. IGARSS (2019)
Jiping Chen, Hui-Juan Wu, Xiangrong Liu, Yao Xiao, Mengjiao Wang, Mingru Yang, Yunjiang Rao
A Real-Time Distributed Deep Learning Approach for Intelligent Event Recognition in Long Distance Pipeline Monitoring with DOFS. CyberC (2018)
Gaiying Wang, Zhiyu Wang, Xiaoshan Yan, Xiangrong Liu
DNA Strand Displacement Based on Nicking Enzyme for DNA Logic Circuits. BIC-TA (1) (2018)
Xin Chen, Xiangrong Liu
A Weighted Bagging LightGBM Model for Potential lncRNA-Disease Association Identification. BIC-TA (1) (2018)
Xiangxiang Zeng, Jiawei Lin, Chen Lin, Xiangrong Liu, Alfonso Rodríguez-Patón
Structural Hole Spanner in HumanNet Identifies Disease Gene and Drug targets. IEEE Access 6 (2018)
Xiaoshan Yan, Xiangrong Liu, Xiangxiang Zeng, Alfonso Rodríguez-Patón
An Implementation of Elementary Arithmetic with Virus Machine. Enjoying Natural Computing (2018)
Chen Huang, Shengchuan Zhang, Xianming Lin, Xiangrong Liu, Rongrong Ji
Deep-based fisher vector for mobile visual search. ICIP (2017)
Xiangrong Liu, Runquan Xie, Chen Lin, Liujuan Cao
Question microblog identification and answer recommendation. Multim. Syst. 22 (4) (2016)
Xiangxiang Zeng, You Li, Stephen C. H. Leung, Ziyu Lin, Xiangrong Liu
Investment behavior prediction in heterogeneous information network. Neurocomputing 217 (2016)
Tao Song, Quan Zou, Xiangrong Liu, Xiangxiang Zeng
Asynchronous spiking neural P systems with rules on synapses. Neurocomputing 151 (2015)
Tao Song, Xiangrong Liu, Xiangxiang Zeng
Asynchronous Spiking Neural P Systems with Anti-Spikes. Neural Process. Lett. 42 (3) (2015)
Xiangrong Liu, Juan Suo, Stephen C. H. Leung, Juan Liu, Xiangxiang Zeng
The power of time-free tissue P systems: Attacking NP-complete problems. Neurocomputing 159 (2015)
Xiangrong Liu, Ziming Li, Juan Suo, Juan Liu, Xiaoping Min
A uniform solution to integer factorization using time-free spiking neural P system. Neural Comput. Appl. 26 (5) (2015)
Sifa Xie, Wei Weng, Ke Chen, Xiangrong Liu
Identifying Reliable Posts and Users in Online Social Networks. Int. J. Pattern Recognit. Artif. Intell. 28 (6) (2014)
Xiangxiang Zeng, Ningxiang Ding, Fei Xing, Xiangrong Liu
Time-Free Tissue P Systems for Solving the Hamilton Path Problem. BIC-TA (2014)
Xiangrong Liu, Ziming Li, Juan Suo, Ying Ju, Juan Liu, Xiangxiang Zeng
Solving Multidimensional 0-1 Knapsack Problem with Time-Free Tissue P Systems. J. Appl. Math. 2014 (2014)
Xiangxiang Zeng, Lei Xu, Xiangrong Liu, Linqiang Pan
On languages generated by spiking neural P systems with weights. Inf. Sci. 278 (2014)
Xiangrong Liu, Shudong Wang
Development of an in vivo computer for the SAT problem. Math. Comput. Model. 52 (11-12) (2010)
Jing Yang, Cheng Zhang, Jin Xu, Xiangrong Liu, Xiaoli Qiang
A novel computing model of the maximum clique problem based on circular DNA. Sci. China Inf. Sci. 53 (7) (2010)
Xiangrong Liu, Xiaoying Shi, Ying Ju
A programmable biomolecular computing devices with RNAi. BIC-TA (2010)
Le Su, Ying Ju, Xiangrong Liu
Quantitative modeling and simulation of Anterior Chamber in OCT images. BIC-TA (2010)
Xiangrong Liu, Wenbin Liu, Juan Liu, Linqiang Pan, Jin Xu
Predicting Melting Temperature (Tm) of DNA Duplex Based on Neural Network. ICIC (3) (2006)
Wenbin Liu, Lin Gao, Xiangrong Liu, Shudong Wang, Jin Xu
Solving the 3-SAT Problem Based on DNA Computing. J. Chem. Inf. Comput. Sci. 43 (6) (2003)