Tingfang Wu

50 papers Journal 45Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
AACDR: Integrating Graph Isomorphism Networks and Asymmetric Adversarial Domain Adaptation for Cancer Drug Response Prediction.
J. Chem. Inf. Model.
Yi Zhang, Tingfang Wu, Liangpeng Nie, Yelu Jiang, Geng Li, Jia Xu, Zhenglong Zhou, Yiwei Chen, Lijun Quan, Qiang Lyu
2025 J jnl
DS-MVP: identifying disease-specific pathogenicity of missense variants by pre-training representation.
Briefings Bioinform.
Qiufeng Chen, Lijun Quan, Lexin Cao, Bei Zhang, Zhijun Zhang, Liangchen Peng, Junkai Wang, Yelu Jiang, Liangpeng Nie, Geng Li, Tingfang Wu, Qiang Lyu
2025 J jnl
Homogeneous spiking neural P systems with synaptic failure.
Inf. Comput.
Luping Zhang, Tingfang Wu
2025 J jnl
MAPCliff-WMGR: Exploring Activity Cliffs in Molecular Activity Prediction Enhanced by Weighted Molecular Graph Representations.
J. Chem. Inf. Model.
Yiwei Chen, Tingfang Wu, Yelu Jiang, Liangpeng Nie, Geng Li, Yi Zhang, Zhenglong Zhou, Jia Xu, Lijun Quan, Qiang Lyu
2025 J jnl
MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep Model.
J. Chem. Inf. Model.
Jia Xu, Tingfang Wu, Yelu Jiang, Liangpeng Nie, Geng Li, Yi Zhang, Zhenglong Zhou, Yiwei Chen, Lijun Quan, Qiang Lyu
2025 J jnl
MVCL-DTI: Predicting Drug-Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous Graph.
J. Chem. Inf. Model.
Bei Zhang, Lijun Quan, Zhijun Zhang, Lexin Cao, Qiufeng Chen, Liangchen Peng, Junkai Wang, Yelu Jiang, Liangpeng Nie, Geng Li, Tingfang Wu, Qiang Lyu
2025 J jnl
MetaMBP: Few-Shot Multilabel Prediction of Bioactive Peptides Based on Deep Metric Meta-Learning.
J. Chem. Inf. Model.
Zhenglong Zhou, Tingfang Wu, Yelu Jiang, Geng Li, Liangpeng Nie, Jia Xu, Yi Zhang, Yiwei Chen, Lijun Quan, Qiang Lyu
2024 J jnl
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction.
IEEE J. Biomed. Health Informatics
Junkai Wang, Lijun Quan, Zhi Jin, Hongjie Wu, Xuhao Ma, Xuejiao Wang, Jingxin Xie, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu
2024 J jnl
RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding.
Bioinform.
Xuejiao Wang, Tingfang Wu, Yelu Jiang, Taoning Chen, Deng Pan, Zhi Jin, Jingxin Xie, Lijun Quan, Qiang Lyu
2024 J jnl
Spiking neural P systems with mute rules.
Inf. Comput.
Tingfang Wu, Luis Valencia-Cabrera, Mario J. Pérez-Jiménez, Linqiang Pan
2023 J jnl
CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism.
Bioinform.
Zhi Jin, Tingfang Wu, Taoning Chen, Deng Pan, Xuejiao Wang, Jingxin Xie, Lijun Quan, Qiang Lyu
2023 J jnl
DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yelu Jiang, Lijun Quan, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
2023 J jnl
DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features.
J. Chem. Inf. Model.
Jingxin Xie, Lijun Quan, Xuejiao Wang, Hongjie Wu, Zhi Jin, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu
2023 J jnl
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.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lijun Quan, Xiaomin Chu, Xiaoyu Sun, Tingfang Wu, Qiang Lyu
2023 J jnl
Numerical spiking neural P systems with production functions on synapses.
Theor. Comput. Sci.
Suxia Jiang, Bowen Xu, Tao Liang, Xiaoliang Zhu, Tingfang Wu
2023 J jnl
Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks.
J. Chem. Inf. Model.
Kailong Li, Lijun Quan, Yelu Jiang, Hongjie Wu, Jian Wu, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
2023 J jnl
Spiking Neural P Systems With Communication on Request and Mute Rules.
IEEE Trans. Parallel Distributed Syst.
Tingfang Wu, Linqiang Pan
2023 J jnl
TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer.
IEEE ACM Trans. Comput. Biol. Bioinform.
Taoning Chen, Tingfang Wu, Deng Pan, Jinxing Xie, Jin Zhi, Xuejiao Wang, Lijun Quan, Qiang Lyu
2023 J jnl
ctP
IEEE ACM Trans. Comput. Biol. Bioinform.
Kailong Li, Lijun Quan, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
2022 J jnl
Asynchronous spiking neural P systems with local synchronization of rules.
Inf. Sci.
Tingfang Wu, Luping Zhang, Qiang Lyu, Yu Jin
2022 J jnl
Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence.
Bioinform.
Yan Li, Lijun Quan, Yiting Zhou, Yelu Jiang, Kailong Li, Tingfang Wu, Qiang Lyu
2022 J jnl
Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events.
J. Chem. Inf. Model.
Deng Pan, Lijun Quan, Zhi Jin, Taoning Chen, Xuejiao Wang, Jingxin Xie, Tingfang Wu, Qiang Lyu
2022 J jnl
On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request.
Int. J. Neural Syst.
Tingfang Wu, Ferrante Neri, Linqiang Pan
2022 J jnl
TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features.
Bioinform.
Liangpeng Nie, Lijun Quan, Tingfang Wu, Ruji He, Qiang Lyu
2021 J jnl
Evolution-Communication Spiking Neural P Systems.
Int. J. Neural Syst.
Tingfang Wu, Qiang Lyu, Linqiang Pan
2021 J jnl
Numerical Spiking Neural P Systems.
IEEE Trans. Neural Networks Learn. Syst.
Tingfang Wu, Linqiang Pan, Qiang Yu, Kay Chen Tan
2021 J jnl
Spiking neural P systems with a flat maximally parallel use of rules.
J. Membr. Comput.
Tingfang Wu, Suxia Jiang
2021 J jnl
Spiking neural P systems with target indications.
Theor. Comput. Sci.
Tingfang Wu, Luping Zhang, Linqiang Pan
2020 J jnl
Simplified and yet Turing universal spiking neural P systems with polarizations optimized by anti-spikes.
Neurocomputing
Tingfang Wu, Taosheng Zhang, Fei Xu
2020 J jnl
The computation power of spiking neural P systems with polarizations adopting sequential mode induced by minimum spike number.
Neurocomputing
Tingfang Wu, Linqiang Pan
2019 — conf
Cell-like Spiking Neural P Systems with Anti-spikes and Membrane Division/Dissolution.
BIC-TA (2)
Suxia Jiang, Jihui Fan, Dan Ling, Feifei Yang, Yanfeng Wang, Tingfang Wu
2019 J jnl
Computation power of asynchronous spiking neural P systems with polarizations.
Theor. Comput. Sci.
Tingfang Wu, Linqiang Pan, Artiom Alhazov
2018 J jnl
A computational approach for nuclear export signals identification using spiking neural P systems.
Neural Comput. Appl.
Zhihua Chen, Pan Zhang, Xun Wang, Xiaolong Shi, Tingfang Wu, Pan Zheng
2018 J jnl
Simplified and Yet Turing Universal Spiking Neural P Systems with Communication on Request.
Int. J. Neural Syst.
Tingfang Wu, Florin-Daniel Bîlbîe, Andrei Paun, Linqiang Pan, Ferrante Neri
2018 J jnl
Spiking Neural P Systems With Polarizations.
IEEE Trans. Neural Networks Learn. Syst.
Tingfang Wu, Andrei Paun, Zhiqiang Zhang, Linqiang Pan
2018 — conf
Spiking Neural P Systems: Theoretical Results and Applications.
Enjoying Natural Computing
Haina Rong, Tingfang Wu, Linqiang Pan, Gexiang Zhang
2018 J jnl
Spiking neural P systems with rules on synapses and anti-spikes.
Theor. Comput. Sci.
Tingfang Wu, Yanfeng Wang, Suxia Jiang, Yansen Su, Xiaolong Shi
2018 J jnl
Universal enzymatic numerical P systems with small number of enzymatic variables.
Sci. China Inf. Sci.
Zhiqiang Zhang, Tingfang Wu, Andrei Paun, Linqiang Pan
2017 J jnl
A Note on Spiking Neural P Systems with Homogenous Neurons and Synapses.
Fundam. Informaticae
Yang Yu, Tingfang Wu, Jinbang Xu, Yanfeng Wang, Juanjuan He
2017 J jnl
Numerical P systems with production thresholds.
Theor. Comput. Sci.
Linqiang Pan, Zhiqiang Zhang, Tingfang Wu, Jinbang Xu
2017 J jnl
Spiking Neural P Systems with Rules on Synapses Working in Sum Spikes Consumption Strategy.
Fundam. Informaticae
Yansen Su, Tingfang Wu, Fei Xu, Andrei Paun
2016 — conf
An Image Threshold Segmentation Algorithm with Hybrid Evolutionary Mechanisms Based on Membrane Computing.
BIC-TA (1)
Shuo Liu, Kang Zhou, Shan Zeng, Huaqing Qi, Tingfang Wu
2016 — conf
Application of Discrete Ant Colony Optimization in VRPTW.
BIC-TA (2)
Qinhong Fu, Kang Zhou, Huaqing Qi, Tingfang Wu
2016 J jnl
Cell-like spiking neural P systems.
Theor. Comput. Sci.
Tingfang Wu, Zhiqiang Zhang, Gheorghe Paun, Linqiang Pan
2016 — conf
Improved Multi-step Iterative Algorithms for the Fixed Points of Strongly Pseudo-Contractive Mappings.
BIC-TA (2)
Jiangrong Liu, Kang Zhou, Shan Zeng, Huaqing Qi, Bosheng Song, Tingfang Wu
2016 J jnl
NES-REBS: A novel nuclear export signal prediction method using regular expressions and biochemical properties.
J. Bioinform. Comput. Biol.
Tingfang Wu, Xun Wang, Zheng Zhang, Faming Gong, Tao Song, Zhihua Chen, Pan Zhang, Yang Zhao
2016 J jnl
Numerical P systems with migrating variables.
Theor. Comput. Sci.
Zhiqiang Zhang, Tingfang Wu, Andrei Paun, Linqiang Pan
2016 J jnl
On String Languages Generated by Sequential Numerical P Systems.
Fundam. Informaticae
Zhiqiang Zhang, Tingfang Wu, Linqiang Pan
2016 J jnl
On the Universality of Colored One-Catalyst P Systems.
Fundam. Informaticae
Tingfang Wu, Zhiqiang Zhang, Gheorghe Paun, Linqiang Pan
2016 J jnl
Small Universal Spiking Neural P Systems with Homogenous Neurons and Synapses.
Fundam. Informaticae
Tingfang Wu, Yanfeng Wang, Suxia Jiang, Xiaolong Shi