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2020 – today
- 2024
[j136]Yuansheng Liu
, Xinyan Xia, Yongshun Gong, Bosheng Song, Xiangxiang Zeng:
SSR-DTA: Substructure-aware multi-layer graph neural networks for drug-target binding affinity prediction. Artif. Intell. Medicine 157: 102983 (2024)- [j135]Linlin Hou, Hongxin Xiang, Xiangxiang Zeng, Dongsheng Cao, Li Zeng, Bosheng Song:
Attribute-guided prototype network for few-shot molecular property prediction. Briefings Bioinform. 25(5) (2024) - [j134]Mingquan Liu, Chunyan Li, Ruizhe Chen, Dongsheng Cao, Xiangxiang Zeng:
Geometric deep learning for drug discovery. Expert Syst. Appl. 240: 122498 (2024) - [j133]Zehui Chen, Zimeng Li, Xiangzhen Shen, Yuansheng Liu, Xuan Lin, Daojian Zeng, Xiangxiang Zeng:
DualSyn: A dual-level feature interaction method to predict synergistic drug combinations. Expert Syst. Appl. 257: 125065 (2024) - [j132]Yuansheng Liu, Zhenran Zhou, Xiaofeng Cao, Dongsheng Cao, Xiangxiang Zeng:
Effective drug-target affinity prediction via generative active learning. Inf. Sci. 679: 121135 (2024) - [j131]Zhong-Hao Ren, Chang-Qing Yu, Li-Ping Li, Zhu-Hong You, Zheng-Wei Li, Shanwen Zhang, Xiangxiang Zeng, Yi-Fan Shang:
SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution. J. Chem. Inf. Model. 64(1): 238-249 (2024) - [j130]Chao Pang, Jianbo Qiao, Xiangxiang Zeng, Quan Zou, Leyi Wei:
Deep Generative Models in De Novo Drug Molecule Generation. J. Chem. Inf. Model. 64(7): 2174-2194 (2024) - [j129]Xin Xia, Yiping Liu, Chunhou Zheng, Xingyi Zhang, Qingwen Wu, Xin Gao, Xiangxiang Zeng, Yansen Su:
Evolutionary Multiobjective Molecule Optimization in an Implicit Chemical Space. J. Chem. Inf. Model. 64(13): 5161-5174 (2024) - [j128]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) - [j127]Xiangxiang Zeng, Kuanyun Zhu:
On the migrativity properties between uni-nullnorms and overlap (grouping) functions. Soft Comput. 28(13-14): 7671-7685 (2024) - [j126]Yiping Liu, Ling Zhang, Xiangxiang Zeng, Yuyan Han:
Evolutionary multimodal multiobjective optimization guided by growing neural gas. Swarm Evol. Comput. 86: 101500 (2024) - [j125]Shujie Dong, Yuansheng Liu, Yongshun Gong, Xiangjun Dong, Xiangxiang Zeng:
scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 95-105 (2024) - [j124]Yanyan Li, Bosheng Song, Yuansheng Liu, Xiangxiang Zeng, Shengye Huang:
Dynamic threshold spiking neural P systems with weights and multiple channels. Theor. Comput. Sci. 1010: 114697 (2024) - [j123]Yiping Liu, Liting Xu, Yuyan Han, Xiangxiang Zeng, Gary G. Yen, Hisao Ishibuchi:
Evolutionary Multimodal Multiobjective Optimization for Traveling Salesman Problems. IEEE Trans. Evol. Comput. 28(2): 516-530 (2024) - [j122]Xiangzhen Shen, Zimeng Li, Yuansheng Liu, Bosheng Song, Xiangxiang Zeng:
PEB-DDI: A Task-Specific Dual-View Substructural Learning Framework for Drug-Drug Interaction Prediction. IEEE J. Biomed. Health Informatics 28(1): 569-579 (2024) - [j121]Xiang Zhang, Hongxin Xiang, Xixi Yang, Jingxin Dong, Xiangzheng Fu, Xiangxiang Zeng, Haowen Chen, Keqin Li:
Dual-View Learning Based on Images and Sequences for Molecular Property Prediction. IEEE J. Biomed. Health Informatics 28(3): 1564-1574 (2024) - [j120]Chunyan Li, Junfeng Yao, Wei Wei, Zhangming Niu, Xiangxiang Zeng, Jin Li, Jianmin Wang:
Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4852-4861 (2024) - [j119]Taisong Jin, Xixi Yang, Zhengtao Yu, Han Luo, Yongmei Zhang, Feiran Jie, Xiangxiang Zeng, Min Jiang:
WalkGAN: Network Representation Learning With Sequence-Based Generative Adversarial Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5684-5694 (2024) - [j118]Hegan Chen, Qinghui Hong, Zhongrui Wang, Chunhua Wang, Xiangxiang Zeng, Jiliang Zhang:
Memristive Circuit Implementation of Caenorhabditis Elegans Mechanism for Neuromorphic Computing. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12015-12026 (2024) - [c41]Qiwen Wang, Chen Lin, Wei Su, Liang Xiao, Xiangxiang Zeng:
Compound-Protein Interaction Prediction with Sparse Perturbation-Aware Attention. ICIC (LNBI 2) 2024: 72-83 - [c40]Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng:
An Image-enhanced Molecular Graph Representation Learning Framework. IJCAI 2024: 6107-6115 - [c39]Yiwei Liu, Yiping Liu, Jiahao Yang, Xinyi Zhang, Li Wang, Xiangxiang Zeng:
Multi-Objective Molecular Design in Constrained Latent Space. IJCNN 2024: 1-8 - [i16]Geyan Ye, Xibao Cai, Houtim Lai, Xing Wang, Junhong Huang, Longyue Wang, Wei Liu, Xiangxiang Zeng:
DrugAssist: A Large Language Model for Molecule Optimization. CoRR abs/2401.10334 (2024) - [i15]Peng Zhou, Jianmin Wang, Chunyan Li, Zixu Wang, Yiping Liu, Siqi Sun, Jianxin Lin, Longyue Wang, Xiangxiang Zeng:
Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model. CoRR abs/2403.13244 (2024) - [i14]Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Jianxin Lin, Bosheng Song, Xiangxiang Zeng:
KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion. CoRR abs/2404.03893 (2024) - [i13]Li Wang, Yiping Li, Xiangzheng Fu, Xiucai Ye, Junfeng Shi, Gary G. Yen, Xiangxiang Zeng:
HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design. CoRR abs/2405.00753 (2024) - [i12]Li Wang, Xiangzheng Fu, Jiahao Yang, Xinyi Zhang, Xiucai Ye, Yiping Liu, Tetsuya Sakurai, Xiangxiang Zeng:
MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor. CoRR abs/2406.02610 (2024) - [i11]Zhixiang Cheng, Hongxin Xiang, Pengsen Ma, Li Zeng, Xin Jin, Xixi Yang, Jianxin Lin, Yang Deng, Bosheng Song, Xinxin Feng, Changhui Deng, Xiangxiang Zeng:
MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs. CoRR abs/2409.12926 (2024) - 2023
- [j117]Zimeng Li, Shichao Zhu, Bin Shao, Xiangxiang Zeng, Tong Wang, Tie-Yan Liu:
DSN-DDI: an accurate and generalized framework for drug-drug interaction prediction by dual-view representation learning. Briefings Bioinform. 24(1) (2023) - [j116]Lei Wang, Shao-Hua Shi, Hui Li, Xiangxiang Zeng, Su-You Liu, Zhao-Qian Liu, Yafeng Deng, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
Reducing false positive rate of docking-based virtual screening by active learning. Briefings Bioinform. 24(1) (2023) - [j115]Tao Tang, Xiaocai Zhang, Yuansheng Liu, Hui Peng, Binshuang Zheng, Yanlin Yin, Xiangxiang Zeng:
Machine learning on protein-protein interaction prediction: models, challenges and trends. Briefings Bioinform. 24(2) (2023) - [j114]Jing Jiang, Junlin Xu, Yuansheng Liu, Bosheng Song, Xiulan Guo, Xiangxiang Zeng, Quan Zou:
Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder. Briefings Bioinform. 24(3) (2023) - [j113]Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng:
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction. Briefings Bioinform. 24(4) (2023) - [j112]Yuansheng Liu, Xiangzhen Shen, Yongshun Gong, Yiping Liu, Bosheng Song, Xiangxiang Zeng:
Sequence Alignment/Map format: a comprehensive review of approaches and applications. Briefings Bioinform. 24(5) (2023) - [j111]Bosheng Song, Kenli Li, Xiangxiang Zeng, Mario J. Pérez-Jiménez, Claudio Zandron:
Monodirectional evolutional symport tissue P systems with channel states and cell division. Sci. China Inf. Sci. 66(3) (2023) - [j110]Yiping Liu, Xinyi Zhang, Yuansheng Liu, Yansen Su, Xiangxiang Zeng, Gary G. Yen:
Evolutionary Multi-Objective Optimization in Searching for Various Antimicrobial Peptides [Feature]. IEEE Comput. Intell. Mag. 18(2): 31-45 (2023) - [j109]Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai:
Deep generative model for drug design from protein target sequence. J. Cheminformatics 15(1): 38 (2023) - [j108]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) - [j107]Bosheng Song, Kenli Li, David Orellana-Martín, Xiangxiang Zeng, Mario J. Pérez-Jiménez:
Tissue P Systems With States in Cells. IEEE Trans. Computers 72(9): 2561-2570 (2023) - [j106]Xuan Lin, Zhe Quan, Zhi-Jie Wang, Yan Guo, Xiangxiang Zeng, Philip S. Yu:
Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 932-943 (2023) - [j105]Xixi Yang, Zhangming Niu, Yuansheng Liu, Bosheng Song, Weiqiang Lu, Li Zeng, Xiangxiang Zeng:
Modality-DTA: Multimodality Fusion Strategy for Drug-Target Affinity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1200-1210 (2023) - [j104]Zihao Chen, Nan Liu, Yang Huang, Xiaoping Min, Xiangxiang Zeng, Shengxiang Ge, Jun Zhang, Ning-Shao Xia:
PointDE: Protein Docking Evaluation Using 3D Point Cloud Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3128-3138 (2023) - [j103]Yanyan Li, Bosheng Song, Xiangxiang Zeng:
Spiking neural P systems with weights and delays on synapses. Theor. Comput. Sci. 968: 114028 (2023) - [j102]Ying Xu, Chong Xu, Huan Zhang, Lei Huang, Yiping Liu, Yusuke Nojima, Xiangxiang Zeng:
A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization. IEEE Trans. Cybern. 53(11): 6998-7007 (2023) - [j101]Tengfei Ma, Xuan Lin, Bosheng Song, Philip S. Yu, Xiangxiang Zeng:
KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction. IEEE Trans. Knowl. Data Eng. 35(7): 7068-7081 (2023) - [c38]Chunyan Li, Junfeng Yao, Jinsong Su, Zhaoyang Liu, Xiangxiang Zeng, Chenxi Huang:
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning. AAAI 2023: 5169-5177 - [c37]Xuan Lin, Qi Wen, Sijie Yang, Zu-Guo Yu, Yahui Long, Xiangxiang Zeng:
Interpretable multi-view attention network for drug-drug interaction prediction. BIBM 2023: 422-427 - [c36]Liwen Xu, Boya Ji, Yijun Peng, Wending Pi, Xiangxiang Zeng, Peng Zhao, Shaoliang Peng:
ImmRegInformer: an interpretable Transformer-based method for prioritizing immune-regulatory cancer drivers. BIBM 2023: 712-717 - [c35]Liangrui Pan, Pinle Qin, Pengfei Rong, Xiangxiang Zeng, Dazheng Liu, Shaoliang Peng:
PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model. BIBM 2023: 904-909 - [c34]Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang:
Adaptive Compositional Continual Meta-Learning. ICML 2023: 37358-37378 - [c33]Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu:
Totally Dynamic Hypergraph Neural Networks. IJCAI 2023: 2476-2483 - [c32]Xixi Yang, Li Fu, Yafeng Deng, Yuansheng Liu, Dongsheng Cao, Xiangxiang Zeng:
GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization. IJCAI 2023: 4940-4948 - [i10]Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng:
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction. CoRR abs/2306.05257 (2023) - [i9]Jianxin Lin, Peng Xiao, Yijun Wang, Rongju Zhang, Xiangxiang Zeng:
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models. CoRR abs/2308.01655 (2023) - [i8]Tengfei Ma, Yujie Chen, Wen Tao, Dashun Zheng, Xuan Lin, Patrick Cheong-lao Pang, Yiping Liu, Yijun Wang, Bosheng Song, Xiangxiang Zeng:
Learning to Denoise Unreliable Interactions for Link Prediction on Biomedical Knowledge Graph. CoRR abs/2312.06682 (2023) - 2022
- [j100]Jingxin Dong, Mingyi Zhao, Yuansheng Liu, Yansen Su, Xiangxiang Zeng:
Deep learning in retrosynthesis planning: datasets, models and tools. Briefings Bioinform. 23(1) (2022) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [j95]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) - [j94]Yansen Su, Minglu Wang, Pengpeng Wang, Chunhou Zheng, Yuansheng Liu, Xiangxiang Zeng:
Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison. Briefings Bioinform. 23(6) (2022) - [j93]Kuanyun Zhu, Xiangxiang Zeng, Junsheng Qiao:
On the cross-migrativity between uninorms and overlap (grouping) functions. Fuzzy Sets Syst. 451: 113-129 (2022) - [j92]Yanyan Li, Bosheng Song, Xiangxiang Zeng:
Rule synchronization for monodirectional tissue-like P systems with channel states. Inf. Comput. 285(Part): 104895 (2022) - [j91]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) - [j90]Xiangxiang Zeng, Hongxin Xiang, Linhui Yu, Jianmin Wang, Kenli Li, Ruth Nussinov, Feixiong Cheng:
Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework. Nat. Mac. Intell. 4(11): 1004-1016 (2022) - [j89]Ying Xu, Huan Zhang, Xiangxiang Zeng, Yusuke Nojima:
An adaptive convergence enhanced evolutionary algorithm for many-objective optimization problems. Swarm Evol. Comput. 75: 101180 (2022) - [j88]Hao Jiang, Fei Zhan, Congtao Wang, Jianfeng Qiu, Yansen Su, Chunhou Zheng, Xingyi Zhang, Xiangxiang Zeng:
A Robust Algorithm Based on Link Label Propagation for Identifying Functional Modules From Protein-Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1435-1448 (2022) - [j87]Chunyan Li, Wei Wei, Jin Li, Junfeng Yao, Xiangxiang Zeng, Zhihan Lv:
3DMol-Net: Learn 3D Molecular Representation Using Adaptive Graph Convolutional Network Based on Rotation Invariance. IEEE J. Biomed. Health Informatics 26(10): 5044-5054 (2022) - [j86]Bosheng Song, Kenli Li, Xiangxiang Zeng:
Monodirectional Evolutional Symport Tissue P Systems With Promoters and Cell Division. IEEE Trans. Parallel Distributed Syst. 33(2): 332-342 (2022) - [c31]Yue Liu, Junfeng Zhang, Shulin Wang, Wei Zhang, Xiangxiang Zeng, Chee Keong Kwoh:
A heterogeneous graph cross-omics attention model for single-cell representation learning. BIBM 2022: 270-275 - [i7]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) - [i6]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) - [i5]Xin Xia, Yansen Su, Chunhou Zheng, Xiangxiang Zeng:
Molecule optimization via multi-objective evolutionary in implicit chemical space. CoRR abs/2212.08826 (2022) - 2021
- [j85]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) - [j84]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) - [j83]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) - [j82]Lijun Cai, Li Wang, Xiangzheng Fu, Chenxing Xia, Xiangxiang Zeng, Quan Zou:
ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation. Briefings Bioinform. 22(4) (2021) - [j81]Xiaoping Min, Congmin Ye, Xiangrong Liu, Xiangxiang Zeng:
Predicting enhancer-promoter interactions by deep learning and matching heuristic. Briefings Bioinform. 22(4) (2021) - [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]Yue Zhang, Jianyuan Lin, Lianmin Zhao, Xiangxiang Zeng, Xiangrong Liu:
A novel antibacterial peptide recognition algorithm based on BERT. Briefings Bioinform. 22(6) (2021) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]Bosheng Song, Shengye Huang, Xiangxiang Zeng:
The computational power of monodirectional tissue P systems with symport rules. Inf. Comput. 281: 104751 (2021) - [j70]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) - [j69]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) - [j68]Bosheng Song, Xiangxiang Zeng, Alfonso Rodríguez-Patón:
Monodirectional tissue P systems with channel states. Inf. Sci. 546: 206-219 (2021) - [j67]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) - [j66]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) - [j65]Guo-Li Xiong, Zhenxing Wu, Jia-Cai Yi, Li Fu, Zhi-Jiang Yang, Chang-Yu Hsieh, Mingzhu Yin, Xiangxiang Zeng, Chengkun Wu, Ai-Ping Lu, Xiang Chen, Tingjun Hou, Dong-Sheng Cao:
ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties. Nucleic Acids Res. 49(Webserver-Issue): 5-14 (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]Linqiang Pan, Xiangxiang Zeng, Xingyi Zhang, Yun Jiang:
Spiking Neural P Systems with Weighted Synapses. Neural Process. Lett. 35(1): 13-27 (2012) - 2011
- [j8]Jixiang Cheng, Gexiang Zhang, Xiangxiang Zeng:
A Novel Membrane Algorithm Based on Differential Evolution for Numerical Optimization. Int. J. Unconv. Comput. 7(3): 159-183 (2011) - [j7]Linqiang Pan, Xiangxiang Zeng, Xingyi Zhang:
Time-Free Spiking Neural P Systems. Neural Comput. 23(5): 1320-1342 (2011) - [c6]Yuquan Li, Gexiang Zhang, Xiangxiang Zeng, Jixiang Cheng, Marian Gheorghe, Susan Elias:
A Modified Estimation of Distribution Algorithm for Numeric Optimization. BIC-TA 2011: 114-119 - [c5]Tao Song, Xiangxiang Zeng:
P Systems with 2D Picture Grammars. BIC-TA 2011: 290-295 - [c4]Xiangxiang Zeng, Tao Song, Linqiang Pan, Xingyi Zhang:
Spiking Neural P Systems for Arithmetic Operations. BIC-TA 2011: 296-301 - 2010
- [j6]Xiangxiang Zeng, Chun Lu, Linqiang Pan:
A weakly universal spiking neural P system. Math. Comput. Model. 52(11-12): 1940-1946 (2010) - [j5]Tseren-Onolt Ishdorj, Alberto Leporati, Linqiang Pan, Xiangxiang Zeng, Xingyi Zhang:
Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources. Theor. Comput. Sci. 411(25): 2345-2358 (2010) - [c3]Linqiang Pan, Xiangxiang Zeng, Xingyi Zhang:
Small universal asynchronous spiking neural P systems. BIC-TA 2010: 622-630 - [c2]Xiangxiang Zeng, Henry N. Adorna, Miguel A. Martínez-del-Amor, Linqiang Pan, Mario J. Pérez-Jiménez:
Matrix Representation of Spiking Neural P Systems. Int. Conf. on Membrane Computing 2010: 377-391
2000 – 2009
- 2009
- [j4]Xiangxiang Zeng, Xingyi Zhang, Linqiang Pan:
Homogeneous Spiking Neural P Systems. Fundam. Informaticae 97(1-2): 275-294 (2009) - [j3]Xingyi Zhang, Xiangxiang Zeng, Linqiang Pan:
On languages generated by asynchronous spiking neural P systems. Theor. Comput. Sci. 410(26): 2478-2488 (2009) - [c1]Linqiang Pan, Xiangxiang Zeng:
A Note on Small Universal Spiking Neural P Systems. Workshop on Membrane Computing 2009: 436-447 - 2008
- [j2]Xingyi Zhang, Xiangxiang Zeng, Linqiang Pan:
Smaller Universal Spiking Neural P Systems. Fundam. Informaticae 87(1): 117-136 (2008) - [j1]Xingyi Zhang, Xiangxiang Zeng, Linqiang Pan:
On string languages generated by spiking neural P systems with exhaustive use of rules. Nat. Comput. 7(4): 535-549 (2008)
Coauthor Index
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