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2020 – today
- 2022
[j89]Jingxin Dong, Mingyi Zhao, Yuansheng Liu, Yansen Su, Xiangxiang Zeng:
Deep learning in retrosynthesis planning: datasets, models and tools. Briefings Bioinform. 23(1) (2022)- [j88]Yue Liu
, Junfeng Zhang, Shu-Lin Wang, Xiangxiang Zeng, Wei Zhang:
Are dropout imputation methods for scRNA-seq effective for scATAC-seq data? Briefings Bioinform. 23(1) (2022) - [j87]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) - [j86]Yajie Meng, Changcheng Lu, Min Jin, Junlin Xu, Xiangxiang Zeng, Jialiang Yang:
A weighted bilinear neural collaborative filtering approach for drug repositioning. Briefings Bioinform. 23(2) (2022) - [j85]Bosheng Song, Xiaoyan Luo, Xiaoli Luo, Yuansheng Liu, Zhangming Niu, Xiangxiang Zeng:
Learning spatial structures of proteins improves protein-protein interaction prediction. Briefings Bioinform. 23(2) (2022) - [j84]Ivan Cedric H. Macababayao, Francis George C. Cabarle, Ren Tristan A. de la Cruz, Xiangxiang Zeng:
Normal forms for spiking neural P systems and some of its variants. Inf. Sci. 595: 344-363 (2022) - [i6]Xiaoqin Pan, Xuan Lin, Dongsheng Cao, Xiangxiang Zeng, Philip S. Yu, Lifang He, Ruth Nussinov, Feixiong Cheng:
Deep learning for drug repurposing: methods, databases, and applications. CoRR abs/2202.05145 (2022) - [i5]Zimeng Li, Shichao Zhu, Bin Shao, Tie-Yan Liu, Xiangxiang Zeng, Tong Wang:
Multi-View Substructure Learning for Drug-Drug Interaction Prediction. CoRR abs/2203.14513 (2022) - 2021
- [j83]Xin Shu, Sameera Sansare, Di Jin, Xiangxiang Zeng, Kai-Yu Tong, Rishikesh Pandey, Renjie Zhou:
Artificial-Intelligence-Enabled Reagent-Free Imaging Hematology Analyzer. Adv. Intell. Syst. 3(8): 2000277 (2021) - [j82]Xin Shu, Sameera Sansare, Di Jin, Xiangxiang Zeng, Kai-Yu Tong, Rishikesh Pandey, Renjie Zhou:
Artificial-Intelligence-Enabled Reagent-Free Imaging Hematology Analyzer. Adv. Intell. Syst. 3(8): 2170060 (2021) - [j81]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) - [j80]Xiaoping Min, Congmin Ye, Xiangrong Liu, Xiangxiang Zeng:
Predicting enhancer-promoter interactions by deep learning and matching heuristic. Briefings Bioinform. 22(4) (2021) - [j79]Chunyan Li, Jianmin Wang, Zhangming Niu, Junfeng Yao, Xiangxiang Zeng:
A spatial-temporal gated attention module for molecular property prediction based on molecular geometry. Briefings Bioinform. 22(5) (2021) - [j78]Lijun Cai, Changcheng Lu, Junlin Xu, Yajie Meng, Peng Wang, Xiangzheng Fu, Xiangxiang Zeng, Yansen Su:
Drug repositioning based on the heterogeneous information fusion graph convolutional network. Briefings Bioinform. 22(6) (2021) - [j77]Fengqing Lu, Mufei Li, Xiaoping Min, Chunyan Li, Xiangxiang Zeng:
De novo generation of dual-target ligands using adversarial training and reinforcement learning. Briefings Bioinform. 22(6) (2021) - [j76]Bosheng Song, Fen Li, Yuansheng Liu, Xiangxiang Zeng:
Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison. Briefings Bioinform. 22(6) (2021) - [j75]Yue Zhang, Jianyuan Lin, Lianmin Zhao, Xiangxiang Zeng, Xiangrong Liu:
A novel antibacterial peptide recognition algorithm based on BERT. Briefings Bioinform. 22(6) (2021) - [j74]Lijun Cai, Xuanbai Ren, Xiangzheng Fu, Li Peng, Mingyu Gao, Xiangxiang Zeng:
iEnhancer-XG: interpretable sequence-based enhancers and their strength predictor. Bioinform. 37(8): 1060-1067 (2021) - [j73]Yuansheng Liu, Xiaocai Zhang, Quan Zou, Xiangxiang Zeng:
Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers. Bioinform. 37(11): 1604-1606 (2021) - [j72]Yujie Chen, Tengfei Ma, Xixi Yang, Jianmin Wang, Bosheng Song, Xiangxiang Zeng:
MUFFIN: multi-scale feature fusion for drug-drug interaction prediction. Bioinform. 37(17): 2651-2658 (2021) - [j71]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) - [j70]Bosheng Song, Shengye Huang, Xiangxiang Zeng:
The computational power of monodirectional tissue P systems with symport rules. Inf. Comput. 281: 104751 (2021) - [j69]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) - [j68]Lovely Joy P. Casauay, Francis George C. Cabarle, Ivan Cedric H. Macababayao, Ren Tristan A. de la Cruz, Henry N. Adorna, Xiangxiang Zeng, Miguel Ángel Martínez-del-Amor:
A Framework for Evolving Spiking Neural P Systems. Int. J. Unconv. Comput. 16(2-3): 83-119 (2021) - [j67]Bosheng Song, Xiangxiang Zeng, Alfonso Rodríguez-Patón:
Monodirectional tissue P systems with channel states. Inf. Sci. 546: 206-219 (2021) - [j66]Ren Tristan A. de la Cruz, Francis George C. Cabarle, Ivan Cedric H. Macababayao, Henry N. Adorna, Xiangxiang Zeng:
Homogeneous spiking neural P systems with structural plasticity. J. Membr. Comput. 3(1): 10-21 (2021) - [j65]Bosheng Song, Xiangxiang Zeng:
Solving a PSPACE-complete problem by symport/antiport P systems with promoters and membrane division. J. Membr. Comput. 3(4): 296-302 (2021) - [j64]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) - [j63]Bosheng Song, Xiangxiang Zeng, Min Jiang, Mario J. Pérez-Jiménez:
Monodirectional Tissue P Systems With Promoters. IEEE Trans. Cybern. 51(1): 438-450 (2021) - [j62]Hang Xu, Wenhua Zeng, Xiangxiang Zeng, Gary G. Yen:
A Polar-Metric-Based Evolutionary Algorithm. IEEE Trans. Cybern. 51(7): 3429-3440 (2021) - [j61]Tian Wang, Hao Luo, Xiangxiang Zeng, Zhiyong Yu, Anfeng Liu, Arun Kumar Sangaiah:
Mobility Based Trust Evaluation for Heterogeneous Electric Vehicles Network in Smart Cities. IEEE Trans. Intell. Transp. Syst. 22(3): 1797-1806 (2021) - [c30]Jiechen Li, Xiangxiang Zeng, Yong Dou, Fei Xia, Shaoliang Peng:
LADstackING: Stacking Ensemble Learning-based Computational Model for Predicting Potential LncRNA-disease Associations. BIBM 2021: 177-182 - [c29]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 - [c28]Hui Wang, Wan-Lei Zhao, Xiangxiang Zeng, Jianye Yang:
Fast k-NN Graph Construction by GPU based NN-Descent. CIKM 2021: 1929-1938 - [i4]Hui Wang, Wan-Lei Zhao, Xiangxiang Zeng:
Large-Scale Approximate k-NN Graph Construction on GPU. CoRR abs/2103.15386 (2021) - [i3]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
- [j60]Quan Zou, Gang Lin, Xingpeng Jiang, Xiangrong Liu, Xiangxiang Zeng:
Sequence clustering in bioinformatics: an empirical study. Briefings Bioinform. 21(1): 1-10 (2020) - [j59]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) - [j58]Xiangxiang Zeng, Yue Zhong, Wei Lin, Quan Zou:
Predicting disease-associated circular RNAs using deep forests combined with positive-unlabeled learning methods. Briefings Bioinform. 21(4): 1425-1436 (2020) - [j57]Xuan Lin, Zhe Quan, Zhi-Jie Wang, Huang Huang, Xiangxiang Zeng:
A novel molecular representation with BiGRU neural networks for learning atom. Briefings Bioinform. 21(6): 2099-2111 (2020) - [j56]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) - [j55]Xiangxiang Zeng, Siyi Zhu, Yuan Hou, Pengyue Zhang, Lang Li, Jing Li, L. Frank Huang, Stephen J. Lewis, Ruth Nussinov, Feixiong Cheng:
Network-based prediction of drug-target interactions using an arbitrary-order proximity embedded deep forest. Bioinform. 36(9): 2805-2812 (2020) - [j54]Xiangzheng Fu, Lijun Cai, Xiangxiang Zeng, Quan Zou:
StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency. Bioinform. 36(10): 3028-3034 (2020) - [j53]Bosheng Song, Xiaoyan Luo, Luis Valencia-Cabrera, Xiangxiang Zeng:
The computational power of cell-like P systems with one protein on membrane. J. Membr. Comput. 2(4): 332-340 (2020) - [j52]Xiangxiang Zeng, Yinglai Lin, Yuying He, Linyuan Lü, Xiaoping Min, Alfonso Rodríguez-Patón:
Deep Collaborative Filtering for Prediction of Disease Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1639-1647 (2020) - [j51]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) - [j50]Xingyi Zhang, Kefei Zhou, Hebin Pan, Lei Zhang, Xiangxiang Zeng, Yaochu Jin:
A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks. IEEE Trans. Cybern. 50(2): 703-716 (2020) - [j49]Xiangxiang Zeng, Wen Wang, Cong Chen, Gary G. Yen:
A Consensus Community-Based Particle Swarm Optimization for Dynamic Community Detection. IEEE Trans. Cybern. 50(6): 2502-2513 (2020) - [j48]Tao Song, Pan Zheng, M. L. Dennis Wong, Min Jiang, Xiangxiang Zeng:
On the Computational Power of Asynchronous Axon Membrane Systems. IEEE Trans. Emerg. Top. Comput. Intell. 4(5): 696-704 (2020) - [c27]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 - [c26]Xiaoyi Feng, Shaoliang Peng, Fei Li, Ying Xu, Xiangxiang Zeng, Dong-Qing Wei, Yunhao Liu:
A drug information embedding method based on graph convolution neural network. HealthCom 2020: 1-6 - [c25]Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, Xiangxiang Zeng:
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction. IJCAI 2020: 2739-2745 - [i2]Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqin Pan, Yadi Zhou, Yuan Hou, Zheng Zhang, George Karypis, Feixiong Cheng:
Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning. CoRR abs/2005.10831 (2020)
2010 – 2019
- 2019
- [j47]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) - [j46]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) - [j45]Zechariah B. Jimenez, Francis George C. Cabarle, Ren Tristan A. de la Cruz, Kelvin C. Buño, Henry N. Adorna, Nestine Hope S. Hernandez, Xiangxiang Zeng:
Matrix representation and simulation algorithm of spiking neural P systems with structural plasticity. J. Membr. Comput. 1(3): 145-160 (2019) - [j44]He Peng, Xiangxiang Zeng, Yadi Zhou, Defu Zhang, Ruth Nussinov, Feixiong Cheng:
A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications. PLoS Comput. Biol. 15(2) (2019) - [j43]Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou:
Details in the evaluation of circular RNA detection tools: Reply to Chen and Chuang. PLoS Comput. Biol. 15(4) (2019) - [j42]Xuan Zhang, Quan Zou, Alfonso Rodríguez-Patón, Xiangxiang Zeng:
Meta-Path Methods for Prioritizing Candidate Disease miRNAs. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 283-291 (2019) - [j41]Hang Xu, Wenhua Zeng, Defu Zhang, Xiangxiang Zeng:
MOEA/HD: A Multiobjective Evolutionary Algorithm Based on Hierarchical Decomposition. IEEE Trans. Cybern. 49(2): 517-526 (2019) - [j40]Hang Xu, Wenhua Zeng, Xiangxiang Zeng, Gary G. Yen:
An Evolutionary Algorithm Based on Minkowski Distance for Many-Objective Optimization. IEEE Trans. Cybern. 49(11): 3968-3979 (2019) - [c24]Jianyuan Lin, Xiangxiang Zeng, Yun Zuo, Ying Ju, Xiangrong Liu:
A Deep Neural Network for Antimicrobial Peptide Recognition. BIBM 2019: 82-85 - [c23]Yuyou Weng, Chen Lin, Xiangxiang Zeng, Yun Liang:
Drug Target Interaction Prediction using Multi-task Learning and Co-attention. BIBM 2019: 528-533 - [c22]Zhe Quan, Yan Guo, Xuan Lin, Zhi-Jie Wang, Xiangxiang Zeng:
GraphCPI: Graph Neural Representation Learning for Compound-Protein Interaction. BIBM 2019: 717-722 - 2018
- [j39]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) - [j38]Xiangxiang Zeng, Li Liu, Linyuan Lü, Quan Zou:
Prediction of potential disease-associated microRNAs using structural perturbation method. Bioinform. 34(14): 2425-2432 (2018) - [j37]Tao Song, Alfonso Rodríguez-Patón, Pan Zheng, Xiangxiang Zeng:
Spiking Neural P Systems With Colored Spikes. IEEE Trans. Cogn. Dev. Syst. 10(4): 1106-1115 (2018) - [c21]Hongjie Chen, Xun Wang, Xuan Zhang, Xiangxiang Zeng, Tao Song, Alfonso Rodríguez-Patón:
LncRNA-disease association prediction based on neighborhood information aggregation in neural network. BIBM 2018: 175-178 - [c20]Sheng Ni, Chen Lin, Xiangxiang Zeng, Yun Liang:
Drug Target Interaction Prediction with Non-random Missing Labels. BIBM 2018: 496-501 - [c19]Francis George C. Cabarle, Ren Tristan A. de la Cruz, Henry N. Adorna, Ma. Daiela Dimaano, Faith Therese Peña, Xiangxiang Zeng:
Small Spiking Neural P Systems with Structural Plasticity. Enjoying Natural Computing 2018: 45-56 - [c18]Xiaoshan Yan, Xiangrong Liu, Xiangxiang Zeng, Alfonso Rodríguez-Patón:
An Implementation of Elementary Arithmetic with Virus Machine. Enjoying Natural Computing 2018: 304-317 - 2017
- [j36]Quan Zou, Shixiang Wan, Xiangxiang Zeng, Zhanshan (Sam) Ma:
Reconstructing evolutionary trees in parallel for massive sequences. BMC Syst. Biol. 11(6): 15-21 (2017) - [j35]Xingyi Zhang, Alfonso Rodríguez-Patón Aradas, Xiangxiang Zeng, Tao Song:
Theory and Application of Bio-inspired Intelligence and Methods. J. Univers. Comput. Sci. 23(7): 586-588 (2017) - [j34]Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou:
A comprehensive overview and evaluation of circular RNA detection tools. PLoS Comput. Biol. 13(6) (2017) - [j33]Xiangxiang Zeng, Yuanlu Liao, Yuansheng Liu, Quan Zou:
Prediction and Validation of Disease Genes Using HeteSim Scores. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 687-695 (2017) - [j32]Yuansheng Liu, Xiangxiang Zeng, Zengyou He, Quan Zou:
Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources. IEEE ACM Trans. Comput. Biol. Bioinform. 14(4): 905-915 (2017) - [c17]Xiangyi Meng, Quan Zou, Alfonso Rodríguez-Patón, Xiangxiang Zeng:
Iteratively collective prediction of disease-gene associations through the incomplete network. BIBM 2017: 1324-1330 - [c16]Min Jiang, Zhongqiang Huang, Guiying Jiang, Minghui Shi, Xiangxiang Zeng:
Motion generation of multi-legged robot in complex terrains by using estimation of distribution algorithm. SSCI 2017: 1-6 - [i1]Quan Zou, Shixiang Wan, Ying Ju, Jijun Tang, Xiangxiang Zeng:
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy. CoRR abs/1703.02850 (2017) - 2016
- [j31]Xiangxiang Zeng, Xuan Zhang, Quan Zou:
Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks. Briefings Bioinform. 17(2): 193-203 (2016) - [j30]Quan Zou, Shixiang Wan, Ying Ju, Jijun Tang, Xiangxiang Zeng:
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy. BMC Syst. Biol. 10(4): 401-412 (2016) - [j29]Xiangxiang Zeng, You Li, Stephen C. H. Leung, Ziyu Lin, Xiangrong Liu:
Investment behavior prediction in heterogeneous information network. Neurocomputing 217: 125-132 (2016) - [j28]Jiamin Chen, Yihuang Lin, Rui Gong, Jiming Guo, Xiangxiang Zeng, Juan Liu:
Embedded Based Miniaturized Universal Electrochemical Sensing Platform. J. Sensors 2016: 1254368:1-1254368:8 (2016) - [j27]Xu Chen, Mario J. Pérez-Jiménez, Luis Valencia-Cabrera, Beizhan Wang, Xiangxiang Zeng:
Computing with viruses. Theor. Comput. Sci. 623: 146-159 (2016) - [c15]Quan Zou, Shixiang Wan, Xiangxiang Zeng:
HPTree: Reconstructing phylogenetic trees for ultra-large unaligned DNA sequences via NJ model and Hadoop. BIBM 2016: 53-58 - [c14]Xiangxiang Zeng, Ningxiang Ding, Quan Zou:
Latent factor model with heterogeneous similarity regularization for predicting gene-disease associations. BIBM 2016: 682-687 - 2015
- [j26]Zhen You, Yain-Whar Si, Defu Zhang, Xiangxiang Zeng, Stephen C. H. Leung, Tao Li:
A decision-making framework for precision marketing. Expert Syst. Appl. 42(7): 3357-3367 (2015) - [j25]Xiangxiang Zeng, Sisi Yuan, Xianxian Huang, Quan Zou:
Identification of cytokine via an improved genetic algorithm. Frontiers Comput. Sci. 9(4): 643-651 (2015) - [j24]Tao Song, Quan Zou, Xiangrong Liu, Xiangxiang Zeng:
Asynchronous spiking neural P systems with rules on synapses. Neurocomputing 151: 1439-1445 (2015) - [j23]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) - [j22]Tao Song, Xiangrong Liu, Xiangxiang Zeng:
Asynchronous Spiking Neural P Systems with Anti-Spikes. Neural Process. Lett. 42(3): 633-647 (2015) - [c13]Gaoshan Deng, Ziming Li, Yuming Zhao, Xiangxiang Zeng:
MOEA/D for Energy-Aware Scheduling on Heterogeneous Computing Systems. BIC-TA 2015: 94-106 - [c12]Jingrui Zhang, Shuang Lin, Xiangxiang Zeng, Qinghui Tang:
Short-term optimal hydrothermal scheduling problem considering power flow constraint. CEC 2015: 3235-3242 - [c11]Xiaofeng Chen, Defu Zhang, Xiangxiang Zeng:
A Stable Matching-Based Selection and Memory Enhanced MOEA/D for Evolutionary Dynamic Multiobjective Optimization. ICTAI 2015: 478-485 - 2014
- [j21]Li Song, Dapeng Li, Xiangxiang Zeng, Yunfeng Wu, Li Guo, Quan Zou:
nDNA-prot: identification of DNA-binding proteins based on unbalanced classification. BMC Bioinform. 15: 298 (2014) - [j20]Xiangxiang Zeng, Linqiang Pan, Mario J. Pérez-Jiménez:
Small universal simple spiking neural P systems with weights. Sci. China Inf. Sci. 57(9): 1-11 (2014) - [j19]Shaohui Hong, Defu Zhang, Hoong Chuin Lau, Xiangxiang Zeng, Yain-Whar Si:
A hybrid heuristic algorithm for the 2D variable-sized bin packing problem. Eur. J. Oper. Res. 238(1): 95-103 (2014) - [j18]Xingyi Zhang, Xiangxiang Zeng, Linqiang Pan:
Weighted Spiking Neural P Systems with Rules on Synapses. Fundam. Informaticae 134(1-2): 201-218 (2014) - [j17]Xiangxiang Zeng, Lei Xu, Xiangrong Liu, Linqiang Pan:
On languages generated by spiking neural P systems with weights. Inf. Sci. 278: 423-433 (2014) - [j16]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) - [j15]Xiangxiang Zeng, Sisi Yuan, You Li, Quan Zou:
Decision Tree Classification Model for Popularity Forecast of Chinese Colleges. J. Appl. Math. 2014: 675806:1-675806:7 (2014) - [j14]Xingyi Zhang, Xiangxiang Zeng, Bin Luo, Linqiang Pan:
On Some Classes of Sequential Spiking Neural P Systems. Neural Comput. 26(5): 974-997 (2014) - [j13]Xiangxiang Zeng, Xingyi Zhang, Tao Song, Linqiang Pan:
Spiking Neural P Systems with Thresholds. Neural Comput. 26(7): 1340-1361 (2014) - [c10]Xiangxiang Zeng, Ningxiang Ding, Fei Xing, Xiangrong Liu:
Time-Free Tissue P Systems for Solving the Hamilton Path Problem. BIC-TA 2014: 562-565 - [c9]Zhujin Zhang, Xiangxiang Zeng, Zhihua Chen, Eric Ke Wang:
A New Graphical Representation of Protein Sequences Based on Dual-Vector Model. BIC-TA 2014: 629-632 - 2013
- [j12]Gangjun Tan, Tao Song, Zhihua Chen, Xiangxiang Zeng:
Spiking neural P systems with anti-spikes and without annihilating priority working in a 'flip-flop' way. Int. J. Comput. Sci. Math. 4(2): 152-162 (2013) - [j11]Lei Xu, Xiangxiang Zeng, Peter Jeavons:
A Polynomial-Time Solution to Constraint Satisfaction Problems by Neural-like P Systems. Int. J. Unconv. Comput. 9(5-6): 465-481 (2013) - [c8]Yuanlu Liao, Xiangxiang Zeng, Tao Song, Lianfeng Zhang:
Stock Price Forecast Using Tree Augmented Naïve (TAN) Bayes. BIC-TA 2013: 1013-1019 - [c7]Xubo Wang, Defu Zhang, Xiangxiang Zeng, Xiaoying Wu:
A Bayesian Investment Model for Online P2P Lending. ICoC 2013: 21-30 - 2012
- [j10]Xingyi Zhang, Xiangxiang Zeng, Bin Luo, Zheng Zhang:
A uniform solution to the independent set problem through tissue P systems with cell separation. Frontiers Comput. Sci. 6(4): 477-488 (2012) - [j9]