Tingfang Wu

According to our database, Tingfang Wu authored at least 43 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, August, 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., January, 2024

Spiking neural P systems with mute rules.

Tingfang Wu, Luis Valencia-Cabrera, Mario J. Pérez-Jiménez, Linqiang Pan

Inf. Comput., 2024

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., November, 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., April, 2023

Spiking Neural P Systems With Communication on Request and Mute Rules.

Tingfang Wu, Linqiang Pan

IEEE Trans. Parallel Distributed Syst., February, 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., February, 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

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, 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

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

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

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

Asynchronous spiking neural P systems with local synchronization of rules.

Tingfang Wu, Luping Zhang, Qiang Lyu, Yu Jin

Inf. Sci., 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

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

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

2021

Numerical Spiking Neural P Systems.

Tingfang Wu, Linqiang Pan, Qiang Yu, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., 2021

Spiking neural P systems with target indications.

Tingfang Wu, Luping Zhang, Linqiang Pan

Theor. Comput. Sci., 2021

Spiking neural P systems with a flat maximally parallel use of rules.

Tingfang Wu, Suxia Jiang

J. Membr. Comput., 2021

Evolution-Communication Spiking Neural P Systems.

Tingfang Wu, Qiang Lyu, Linqiang Pan

Int. J. Neural Syst., 2021

2020

Simplified and yet Turing universal spiking neural P systems with polarizations optimized by anti-spikes.

Tingfang Wu, Taosheng Zhang, Fei Xu

Neurocomputing, 2020

The computation power of spiking neural P systems with polarizations adopting sequential mode induced by minimum spike number.

Tingfang Wu, Linqiang Pan

Neurocomputing, 2020

2019

Computation power of asynchronous spiking neural P systems with polarizations.

Tingfang Wu, Linqiang Pan, Artiom Alhazov

Theor. Comput. Sci., 2019

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

Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018

Spiking Neural P Systems With Polarizations.

Tingfang Wu, Andrei Paun, Zhiqiang Zhang, Linqiang Pan

IEEE Trans. Neural Networks Learn. Syst., 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

A computational approach for nuclear export signals identification using spiking neural P systems.

Zhihua Chen, Pan Zhang, Xun Wang, Xiaolong Shi, Tingfang Wu, Pan Zheng

Neural Comput. Appl., 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

Universal enzymatic numerical P systems with small number of enzymatic variables.

Zhiqiang Zhang, Tingfang Wu, Andrei Paun, Linqiang Pan

Sci. China Inf. Sci., 2018

Spiking Neural P Systems: Theoretical Results and Applications.

Haina Rong, Tingfang Wu, Linqiang Pan, Gexiang Zhang

Proceedings of the Enjoying Natural Computing, 2018

2017

Numerical P systems with production thresholds.

Linqiang Pan, Zhiqiang Zhang, Tingfang Wu, Jinbang Xu

Theor. Comput. Sci., 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

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

2016

Numerical P systems with migrating variables.

Zhiqiang Zhang, Tingfang Wu, Andrei Paun, Linqiang Pan

Theor. Comput. Sci., 2016

Cell-like spiking neural P systems.

Tingfang Wu, Zhiqiang Zhang, Gheorghe Paun, Linqiang Pan

Theor. Comput. Sci., 2016

NES-REBS: A novel nuclear export signal prediction method using regular expressions and biochemical properties.

Tingfang Wu, Xun Wang, Zheng Zhang, Faming Gong, Tao Song, Zhihua Chen, Pan Zhang, Yang Zhao

J. Bioinform. Comput. Biol., 2016

On String Languages Generated by Sequential Numerical P Systems.

Zhiqiang Zhang, Tingfang Wu, Linqiang Pan

Fundam. Informaticae, 2016

On the Universality of Colored One-Catalyst P Systems.

Tingfang Wu, Zhiqiang Zhang, Gheorghe Paun, Linqiang Pan

Fundam. Informaticae, 2016

Small Universal Spiking Neural P Systems with Homogenous Neurons and Synapses.

Tingfang Wu, Yanfeng Wang, Suxia Jiang, Xiaolong Shi

Fundam. Informaticae, 2016

An Image Threshold Segmentation Algorithm with Hybrid Evolutionary Mechanisms Based on Membrane Computing.

Shuo Liu, Kang Zhou, Shan Zeng, Huaqing Qi, Tingfang Wu

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Improved Multi-step Iterative Algorithms for the Fixed Points of Strongly Pseudo-Contractive Mappings.

Jiangrong Liu, Kang Zhou, Shan Zeng, Huaqing Qi, Bosheng Song, Tingfang Wu

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Application of Discrete Ant Colony Optimization in VRPTW.

Qinhong Fu, Kang Zhou, Huaqing Qi, Tingfang Wu

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016