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2020 – today
- 2024
[j47]Yuan Lin
, Shaomin Xie, Debasish Ghose, Xiangrong Liu, Junyong You, Jari Korhonen, Juan Liu, Soumya P. Dash:
FishIR: Identifying Pufferfish Individual Based on Deep Learning and Face Recognition. IEEE Access 12: 59807-59817 (2024)- [j46]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): 216 (2024) - [j45]Yun Zuo, Minquan Wan, Yang Shen, Xinheng Wang, Wenying He, Yue Bi, Xiangrong Liu, Zhaohong Deng:
ILYCROsite: Identification of lysine crotonylation sites based on FCM-GRNN undersampling technique. Comput. Biol. Chem. 113: 108212 (2024) - [j44]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: 107853 (2024) - [j43]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: 283-294 (2024) - [j42]Yun Zuo, Bangyi Zhang, Yinkang Dong, Wenying He, Yue Bi, Xiangrong Liu, Xiangxiang Zeng, Zhaohong Deng:
Glypred: Lysine Glycation Site Prediction via CCU-LightGBM-BiLSTM Framework with Multi-Head Attention Mechanism. J. Chem. Inf. Model. 64(16): 6699-6711 (2024) - [c23]Weinan Liu, Zhihao Zhang, Xiangrong Liu, Yiming Zhang:
FlexMem: Proactive Memory Deduplication for Qcow2-Based VMs with Virtual Persistent Memory. APNet 2024: 102-107 - [c22]Yingqian Zhang, Shaomin Xie, Xiangrong Liu, Nian Zhang:
LMGAN: A Progressive End-to-End Chinese Landscape Painting Generation Model. IJCNN 2024: 1-7 - 2023
- [j41]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) - [j40]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) - [j39]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): 1147-1155 (2023) - [j38]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): 3809-3819 (2023) - [c21]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: 131-143 - [c20]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: 383-394 - [c19]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: 544-555 - [c18]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: 515-526 - [c17]Pingjiang Long, Zihao Jian, Xiangrong Liu:
Uncertainty-Confidence Fused Pseudo-labeling for Graph Neural Networks. PRCV (9) 2023: 331-342 - 2022
- [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]Yue Hong, Pengyu Luo, Shuting Jin, Xiangrong Liu:
LaGAT: link-aware graph attention network for drug-drug interaction prediction. Bioinform. 38(24): 5406-5412 (2022) - [j32]Henry Han, Xiangrong Liu:
The challenges of explainable AI in biomedical data science. BMC Bioinform. 22-S(12): 443 (2022) - [j31]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): 822-839 (2022) - [j30]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): 1986-1992 (2022) - 2021
- [j29]Shuting Jin, Xiangxiang Zeng, Feng Xia, Wei Huang, Xiangrong Liu:
Application of deep learning methods in biological networks. Briefings Bioinform. 22(2): 1902-1917 (2021) - [j28]Xiaoping Min, Congmin Ye, Xiangrong Liu, Xiangxiang Zeng:
Predicting enhancer-promoter interactions by deep learning and matching heuristic. Briefings Bioinform. 22(4) (2021) - [j27]Yue Zhang, Jianyuan Lin, Lianmin Zhao, Xiangxiang Zeng, Xiangrong Liu:
A novel antibacterial peptide recognition algorithm based on BERT. Briefings Bioinform. 22(6) (2021) - [j26]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): 216 (2021) - [j25]Francis George C. Cabarle, Xiangxiang Zeng, Niall Murphy, Tao Song, Alfonso Rodríguez-Patón, Xiangrong Liu:
Neural-like P systems with plasmids. Inf. Comput. 281: 104766 (2021) - [j24]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): 79-81 (2021) - [j23]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): 100307 (2021) - [c16]Yun Zuo, Xiangrong Liu, Xiangxiang Zeng:
Pm6 A: an Integrated Classification Algorithm for 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Identifying m6 A Sites. BIBM 2021: 235-240 - [c15]Bing Hu, Feng Xia, Ruolan Chen, Shuting Jin, Xiangrong Liu:
A Meta-Path based Drug-Target Prediction Model with Collaborative Attention Mechanisms. BIBM 2021: 678-681 - [i1]Shuting Jin, Xiangxiang Zeng, Wei Huang, Feng Xia, Changzhi Jiang, Xiangrong Liu, Shaoliang Peng:
Heterogeneous network-based drug repurposing for COVID-19. CoRR abs/2107.09217 (2021) - 2020
- [j22]Quan Zou, Gang Lin, Xingpeng Jiang, Xiangrong Liu, Xiangxiang Zeng:
Sequence clustering in bioinformatics: an empirical study. Briefings Bioinform. 21(1): 1-10 (2020) - [j21]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): 486-497 (2020) - [j20]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): 1037-1043 (2020) - [j19]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): 437-449 (2020) - [c14]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: 437-441
2010 – 2019
- 2019
- [j18]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: 86625-86634 (2019) - [j17]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): 5191-5198 (2019) - [j16]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. 20-S(8): 291:1-291:10 (2019) - [j15]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: 30-49 (2019) - [j14]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): 1211-1218 (2019) - [c13]Jianyuan Lin, Xiangxiang Zeng, Yun Zuo, Ying Ju, Xiangrong Liu:
A Deep Neural Network for Antimicrobial Peptide Recognition. BIBM 2019: 82-85 - [c12]Wei Mao, Hui Wang, Shunsheng Zhang, Xiangrong Liu:
A Novel Deceptive Jamming Method Via Frequency Diverse Array. IGARSS 2019: 2369-2372 - [c11]Xiangrong Liu, Wei Mao, Lei Wu:
Two-Dimensional Imaging With Stationary Nonuniform Frequency Diverse Array Transmitter. IGARSS 2019: 2539-2542 - [c10]Xiangrong Liu, Wei Mao, Shunsheng Zhang, Lei Wu, Wen-Qin Wang:
PolSAR Image Edge Detection via Structure Tensor Analysis. IGARSS 2019: 3269-3272 - 2018
- [j13]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: 35392-35401 (2018) - [c9]Gaiying Wang, Zhiyu Wang, Xiaoshan Yan, Xiangrong Liu:
DNA Strand Displacement Based on Nicking Enzyme for DNA Logic Circuits. BIC-TA (1) 2018: 133-141 - [c8]Xin Chen, Xiangrong Liu:
A Weighted Bagging LightGBM Model for Potential lncRNA-Disease Association Identification. BIC-TA (1) 2018: 307-314 - [c7]Xiaoshan Yan, Xiangrong Liu, Xiangxiang Zeng, Alfonso Rodríguez-Patón:
An Implementation of Elementary Arithmetic with Virus Machine. Enjoying Natural Computing 2018: 304-317 - [c6]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 - 2017
- [c5]Chen Huang, Shengchuan Zhang, Xianming Lin, Xiangrong Liu, Rongrong Ji:
Deep-based fisher vector for mobile visual search. ICIP 2017: 3430-3434 - 2016
- [j12]Xiangxiang Zeng, You Li, Stephen C. H. Leung, Ziyu Lin, Xiangrong Liu:
Investment behavior prediction in heterogeneous information network. Neurocomputing 217: 125-132 (2016) - [j11]Xiangrong Liu, Runquan Xie, Chen Lin, Liujuan Cao:
Question microblog identification and answer recommendation. Multim. Syst. 22(4): 487-496 (2016) - 2015
- [j10]Tao Song, Quan Zou, Xiangrong Liu, Xiangxiang Zeng:
Asynchronous spiking neural P systems with rules on synapses. Neurocomputing 151: 1439-1445 (2015) - [j9]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: 151-156 (2015) - [j8]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): 1241-1247 (2015) - [j7]Tao Song, Xiangrong Liu, Xiangxiang Zeng:
Asynchronous Spiking Neural P Systems with Anti-Spikes. Neural Process. Lett. 42(3): 633-647 (2015) - 2014
- [j6]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) - [j5]Xiangxiang Zeng, Lei Xu, Xiangrong Liu, Linqiang Pan:
On languages generated by spiking neural P systems with weights. Inf. Sci. 278: 423-433 (2014) - [j4]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: 372768:1-372768:6 (2014) - [c4]Xiangxiang Zeng, Ningxiang Ding, Fei Xing, Xiangrong Liu:
Time-Free Tissue P Systems for Solving the Hamilton Path Problem. BIC-TA 2014: 562-565 - 2010
- [j3]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): 1409-1416 (2010) - [j2]Xiangrong Liu, Shudong Wang:
Development of an in vivo computer for the SAT problem. Math. Comput. Model. 52(11-12): 2043-2047 (2010) - [c3]Xiangrong Liu, Xiaoying Shi, Ying Ju:
A programmable biomolecular computing devices with RNAi. BIC-TA 2010: 1185-1188 - [c2]Le Su, Ying Ju, Xiangrong Liu:
Quantitative modeling and simulation of Anterior Chamber in OCT images. BIC-TA 2010: 1314-1318
2000 – 2009
- 2006
- [c1]Xiangrong Liu, Wenbin Liu, Juan Liu, Linqiang Pan, Jin Xu:
Predicting Melting Temperature (Tm) of DNA Duplex Based on Neural Network. ICIC (3) 2006: 275-285 - 2003
- [j1]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): 1872-1875 (2003)
Coauthor Index
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last updated on 2024-10-11 18:20 CEST by the dblp team
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