Application of Discrete Ant Colony Optimization in VRPTW. - Qinhong Fu; Kang Zhou 005; Huaqing Qi; Tingfang Wu (BIC-TA (2), 2016)

Improved Multi-step Iterative Algorithms for the Fixed Points of Strongly Pseudo-Contractive Mappings. - Jiangrong Liu; Kang Zhou 005; Shan Zeng; Huaqing Qi; Bosheng Song; Tingfang Wu (BIC-TA (2), 2016)

An Image Threshold Segmentation Algorithm with Hybrid Evolutionary Mechanisms Based on Membrane Computing. - Shuo Liu; Kang Zhou 005; Shan Zeng; Huaqing Qi; Tingfang Wu (BIC-TA (1), 2016)

Small Universal Spiking Neural P Systems with Homogenous Neurons and Synapses. - Tingfang Wu; Yanfeng Wang; Suxia Jiang; Xiaolong Shi (Fundam. Informaticae, 2016)

On the Universality of Colored One-Catalyst P Systems. - Tingfang Wu; Zhiqiang Zhang 002; Gheorghe Paun; Linqiang Pan (Fundam. Informaticae, 2016)

On String Languages Generated by Sequential Numerical P Systems. - Zhiqiang Zhang 002; Tingfang Wu; Linqiang Pan (Fundam. Informaticae, 2016)

NES-REBS: A novel nuclear export signal prediction method using regular expressions and biochemical properties. - Tingfang Wu; Xun Wang 010; Zheng Zhang; Faming Gong; Tao Song 001; Zhihua Chen; Pan Zhang; Yang Zhao (J. Bioinform. Comput. Biol., 2016)

Cell-like spiking neural P systems. - Tingfang Wu; Zhiqiang Zhang 002; Gheorghe Paun; Linqiang Pan (Theor. Comput. Sci., 2016)

Numerical P systems with migrating variables. - Zhiqiang Zhang 002; Tingfang Wu; Andrei Paun; Linqiang Pan (Theor. Comput. Sci., 2016)

Spiking Neural P Systems with Rules on Synapses Working in Sum Spikes Consumption Strategy. - Yansen Su; Tingfang Wu; Fei Xu; Andrei Paun (Fundam. Informaticae, 2017)

A Note on Spiking Neural P Systems with Homogenous Neurons and Synapses. - Yang Yu; Tingfang Wu; Jinbang Xu; Yanfeng Wang; Juanjuan He (Fundam. Informaticae, 2017)

Numerical P systems with production thresholds. - Linqiang Pan; Zhiqiang Zhang 002; Tingfang Wu; Jinbang Xu (Theor. Comput. Sci., 2017)

Spiking Neural P Systems: Theoretical Results and Applications. - Haina Rong; Tingfang Wu; Linqiang Pan; Gexiang Zhang (Enjoying Natural Computing, 2018)

Universal enzymatic numerical P systems with small number of enzymatic variables. - Zhiqiang Zhang 002; Tingfang Wu; Andrei Paun; Linqiang Pan (Sci. China Inf. Sci., 2018)

Simplified and Yet Turing Universal Spiking Neural P Systems with Communication on Request. - Tingfang Wu; Florin-Daniel Bîlbîe; Andrei Paun; Linqiang Pan; Ferrante Neri (Int. J. Neural Syst., 2018)

A computational approach for nuclear export signals identification using spiking neural P systems. - Zhihua Chen; Pan Zhang; Xun Wang 010; Xiaolong Shi; Tingfang Wu; Pan Zheng 001 (Neural Comput. Appl., 2018)

Spiking neural P systems with rules on synapses and anti-spikes. - Tingfang Wu; Yanfeng Wang; Suxia Jiang; Yansen Su; Xiaolong Shi (Theor. Comput. Sci., 2018)

Spiking Neural P Systems With Polarizations. - Tingfang Wu; Andrei Paun; Zhiqiang Zhang 002; Linqiang Pan (IEEE Trans. Neural Networks Learn. Syst., 2018)

Cell-like Spiking Neural P Systems with Anti-spikes and Membrane Division/Dissolution. - Suxia Jiang; Jihui Fan; Dan Ling; Feifei Yang; Yanfeng Wang; Tingfang Wu (BIC-TA (2), 2019)

Computation power of asynchronous spiking neural P systems with polarizations. - Tingfang Wu; Linqiang Pan; Artiom Alhazov (Theor. Comput. Sci., 2019)

The computation power of spiking neural P systems with polarizations adopting sequential mode induced by minimum spike number. - Tingfang Wu; Linqiang Pan (Neurocomputing, 2020)

Simplified and yet Turing universal spiking neural P systems with polarizations optimized by anti-spikes. - Tingfang Wu; Taosheng Zhang; Fei Xu (Neurocomputing, 2020)

Evolution-Communication Spiking Neural P Systems. - Tingfang Wu; Qiang Lyu; Linqiang Pan (Int. J. Neural Syst., 2021)

Spiking neural P systems with a flat maximally parallel use of rules. - Tingfang Wu; Suxia Jiang (J. Membr. Comput., 2021)

Spiking neural P systems with target indications. - Tingfang Wu; Luping Zhang; Linqiang Pan (Theor. Comput. Sci., 2021)

Numerical Spiking Neural P Systems. - Tingfang Wu; Linqiang Pan; Qiang Yu 005; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence. - Yan Li; Lijun Quan; Yiting Zhou; Yelu Jiang; Kailong Li; Tingfang Wu; Qiang Lyu (Bioinform., 2022)

TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features. - Liangpeng Nie; Lijun Quan; Tingfang Wu; Ruji He; Qiang Lyu (Bioinform., 2022)

On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request. - Tingfang Wu; Ferrante Neri; Linqiang Pan (Int. J. Neural Syst., 2022)

Asynchronous spiking neural P systems with local synchronization of rules. - Tingfang Wu; Luping Zhang; Qiang Lyu; Yu Jin (Inf. Sci., 2022)

Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events. - Deng Pan; Lijun Quan; Zhi Jin; Taoning Chen; Xuejiao Wang; Jingxin Xie; Tingfang Wu; Qiang Lyu (J. Chem. Inf. Model., 2022)

TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer. - Taoning Chen; Tingfang Wu; Deng Pan; Jinxing Xie; Jin Zhi; Xuejiao Wang; Lijun Quan; Qiang Lyu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations. - Yelu Jiang; Lijun Quan; Kailong Li; Yan Li; Yiting Zhou; Tingfang Wu; Qiang Lyu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

ctP2ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation. - Kailong Li; Lijun Quan; Yelu Jiang; Yan Li; Yiting Zhou; Tingfang Wu; Qiang Lyu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets. - Lijun Quan; Xiaomin Chu; Xiaoyu Sun 006; Tingfang Wu; Qiang Lyu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Numerical spiking neural P systems with production functions on synapses. - Suxia Jiang; Bowen Xu; Tao Liang; Xiaoliang Zhu; Tingfang Wu (Theor. Comput. Sci., 2023)

CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism. - Zhi Jin; Tingfang Wu; Taoning Chen; Deng Pan; Xuejiao Wang; Jingxin Xie; Lijun Quan; Qiang Lyu (Bioinform., 2023)

Spiking Neural P Systems With Communication on Request and Mute Rules. - Tingfang Wu; Linqiang Pan (IEEE Trans. Parallel Distributed Syst., 2023)

Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks. - Kailong Li; Lijun Quan; Yelu Jiang; Hongjie Wu; Jian Wu; Yan Li; Yiting Zhou; Tingfang Wu; Qiang Lyu (J. Chem. Inf. Model., 2023)

DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features. - Jingxin Xie; Lijun Quan; Xuejiao Wang; Hongjie Wu; Zhi Jin; Deng Pan; Taoning Chen; Tingfang Wu; Qiang Lyu (J. Chem. Inf. Model., 2023)

Spiking neural P systems with mute rules. - Tingfang Wu; Luis Valencia-Cabrera; Mario J. Pérez-Jiménez; Linqiang Pan (Inf. Comput., 2024)

RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding. - Xuejiao Wang; Tingfang Wu; Yelu Jiang; Taoning Chen; Deng Pan; Zhi Jin; Jingxin Xie; Lijun Quan; Qiang Lyu (Bioinform., 2024)

MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. - Junkai Wang; Lijun Quan; Zhi Jin; Hongjie Wu; Xuhao Ma; Xuejiao Wang; Jingxin Xie; Deng Pan; Taoning Chen; Tingfang Wu; Qiang Lyu (IEEE J. Biomed. Health Informatics, 2024)

DS-MVP: identifying disease-specific pathogenicity of missense variants by pre-training representation. - Qiufeng Chen; Lijun Quan; Lexin Cao; Bei Zhang; Zhijun Zhang; Liangchen Peng; Junkai Wang; Yelu Jiang; Liangpeng Nie; Geng Li; Tingfang Wu; Qiang Lyu (Briefings Bioinform., 2025)

Homogeneous spiking neural P systems with synaptic failure. - Luping Zhang; Tingfang Wu (Inf. Comput., 2025)

MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep Model. - Jia Xu; Tingfang Wu; Yelu Jiang; Liangpeng Nie; Geng Li; Yi Zhang; Zhenglong Zhou; Yiwei Chen; Lijun Quan; Qiang Lyu (J. Chem. Inf. Model., 2025)

MVCL-DTI: Predicting Drug-Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous Graph. - Bei Zhang; Lijun Quan; Zhijun Zhang; Lexin Cao; Qiufeng Chen; Liangchen Peng; Junkai Wang; Yelu Jiang; Liangpeng Nie; Geng Li; Tingfang Wu; Qiang Lyu (J. Chem. Inf. Model., 2025)

AACDR: Integrating Graph Isomorphism Networks and Asymmetric Adversarial Domain Adaptation for Cancer Drug Response Prediction. - Yi Zhang; Tingfang Wu; Liangpeng Nie; Yelu Jiang; Geng Li; Jia Xu; Zhenglong Zhou; Yiwei Chen; Lijun Quan; Qiang Lyu (J. Chem. Inf. Model., 2025)