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Tingfang Wu
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2020 – today
- 2024
- [j38]Xuejiao Wang, Tingfang Wu
, Yelu Jiang
, Taoning Chen, Deng Pan, Zhi Jin, Jingxin Xie, Lijun Quan, Qiang Lyu:
RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding. Bioinform. 40(1) (2024) - [j37]Tingfang Wu, Luis Valencia-Cabrera
, Mario J. Pérez-Jiménez, Linqiang Pan:
Spiking neural P systems with mute rules. Inf. Comput. 299: 105179 (2024) - [j36]Junkai Wang
, Lijun Quan
, Zhi Jin
, Hongjie Wu
, Xuhao Ma
, Xuejiao Wang
, Jingxin Xie
, Deng Pan
, Taoning Chen
, Tingfang Wu
, Qiang Lyu
:
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. IEEE J. Biomed. Health Informatics 28(8): 4995-5006 (2024) - 2023
- [j35]Zhi Jin, Tingfang Wu, Taoning Chen, Deng Pan, Xuejiao Wang, Jingxin Xie, Lijun Quan, Qiang Lyu:
CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism. Bioinform. 39(2) (2023) - [j34]Kailong Li, Lijun Quan
, Yelu Jiang, Hongjie Wu, Jian Wu, Yan Li, Yiting Zhou, Tingfang Wu
, Qiang Lyu:
Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks. J. Chem. Inf. Model. 63(7): 2251-2262 (2023) - [j33]Jingxin Xie, Lijun Quan
, Xuejiao Wang, Hongjie Wu, Zhi Jin, Deng Pan, Taoning Chen, Tingfang Wu
, Qiang Lyu:
DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features. J. Chem. Inf. Model. 63(22): 7258-7271 (2023) - [j32]Kailong Li, Lijun Quan
, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu
, Qiang Lyu
:
ctP2ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 297-306 (2023) - [j31]Lijun Quan
, Xiaomin Chu, Xiaoyu Sun, Tingfang Wu
, Qiang Lyu
:
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. 20(2): 1594-1599 (2023) - [j30]Yelu Jiang, Lijun Quan
, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu
, Qiang Lyu
:
DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2089-2100 (2023) - [j29]Taoning Chen
, Tingfang Wu
, Deng Pan
, Jinxing Xie
, Jin Zhi
, Xuejiao Wang
, Lijun Quan
, Qiang Lyu
:
TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3623-3634 (2023) - [j28]Suxia Jiang, Bowen Xu, Tao Liang, Xiaoliang Zhu, Tingfang Wu
:
Numerical spiking neural P systems with production functions on synapses. Theor. Comput. Sci. 940(Part): 80-89 (2023) - [j27]Tingfang Wu
, Linqiang Pan
:
Spiking Neural P Systems With Communication on Request and Mute Rules. IEEE Trans. Parallel Distributed Syst. 34(2): 734-745 (2023) - 2022
- [j26]Liangpeng Nie
, Lijun Quan, Tingfang Wu, Ruji He, Qiang Lyu:
TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features. Bioinform. 38(10): 2705-2711 (2022) - [j25]Yan Li, Lijun Quan, Yiting Zhou, Yelu Jiang
, Kailong Li, Tingfang Wu, Qiang Lyu:
Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence. Bioinform. 38(17): 4070-4077 (2022) - [j24]Tingfang Wu, Ferrante Neri
, Linqiang Pan:
On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request. Int. J. Neural Syst. 32(8): 2250037:1-2250037:12 (2022) - [j23]Tingfang Wu, Luping Zhang, Qiang Lyu, Yu Jin:
Asynchronous spiking neural P systems with local synchronization of rules. Inf. Sci. 588: 1-12 (2022) - [j22]Deng Pan, Lijun Quan
, Zhi Jin, Taoning Chen, Xuejiao Wang, Jingxin Xie, Tingfang Wu, Qiang Lyu:
Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events. J. Chem. Inf. Model. 62(23): 6258-6270 (2022) - 2021
- [j21]Tingfang Wu, Qiang Lyu, Linqiang Pan:
Evolution-Communication Spiking Neural P Systems. Int. J. Neural Syst. 31(2): 2050064:1-2050064:18 (2021) - [j20]Tingfang Wu
, Suxia Jiang:
Spiking neural P systems with a flat maximally parallel use of rules. J. Membr. Comput. 3(3): 221-231 (2021) - [j19]Tingfang Wu, Luping Zhang, Linqiang Pan:
Spiking neural P systems with target indications. Theor. Comput. Sci. 862: 250-261 (2021) - [j18]Tingfang Wu
, Linqiang Pan
, Qiang Yu
, Kay Chen Tan
:
Numerical Spiking Neural P Systems. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2443-2457 (2021) - 2020
- [j17]Tingfang Wu
, Linqiang Pan
:
The computation power of spiking neural P systems with polarizations adopting sequential mode induced by minimum spike number. Neurocomputing 401: 392-404 (2020) - [j16]Tingfang Wu, Taosheng Zhang, Fei Xu:
Simplified and yet Turing universal spiking neural P systems with polarizations optimized by anti-spikes. Neurocomputing 414: 255-266 (2020)
2010 – 2019
- 2019
- [j15]Tingfang Wu, Linqiang Pan
, Artiom Alhazov
:
Computation power of asynchronous spiking neural P systems with polarizations. Theor. Comput. Sci. 777: 474-489 (2019) - [c5]Suxia Jiang, Jihui Fan, Dan Ling, Feifei Yang, Yanfeng Wang, Tingfang Wu:
Cell-like Spiking Neural P Systems with Anti-spikes and Membrane Division/Dissolution. BIC-TA (2) 2019: 393-408 - 2018
- [j14]Zhiqiang Zhang, Tingfang Wu, Andrei Paun
, Linqiang Pan:
Universal enzymatic numerical P systems with small number of enzymatic variables. Sci. China Inf. Sci. 61(9): 092103:1-092103:12 (2018) - [j13]Tingfang Wu, Florin-Daniel Bîlbîe, Andrei Paun
, Linqiang Pan, Ferrante Neri
:
Simplified and Yet Turing Universal Spiking Neural P Systems with Communication on Request. Int. J. Neural Syst. 28(8): 1850013:1-1850013:19 (2018) - [j12]Zhihua Chen, Pan Zhang, Xun Wang, Xiaolong Shi, Tingfang Wu, Pan Zheng:
A computational approach for nuclear export signals identification using spiking neural P systems. Neural Comput. Appl. 29(3): 695-705 (2018) - [j11]Tingfang Wu, Yanfeng Wang, Suxia Jiang, Yansen Su, Xiaolong Shi:
Spiking neural P systems with rules on synapses and anti-spikes. Theor. Comput. Sci. 724: 13-27 (2018) - [j10]Tingfang Wu, Andrei Paun
, Zhiqiang Zhang, Linqiang Pan
:
Spiking Neural P Systems With Polarizations. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3349-3360 (2018) - [c4]Haina Rong, Tingfang Wu, Linqiang Pan, Gexiang Zhang
:
Spiking Neural P Systems: Theoretical Results and Applications. Enjoying Natural Computing 2018: 256-268 - 2017
- [j9]Yang Yu, Tingfang Wu, Jinbang Xu, Yanfeng Wang, Juanjuan He:
A Note on Spiking Neural P Systems with Homogenous Neurons and Synapses. Fundam. Informaticae 150(2): 231-240 (2017) - [j8]Yansen Su, Tingfang Wu, Fei Xu, Andrei Paun
:
Spiking Neural P Systems with Rules on Synapses Working in Sum Spikes Consumption Strategy. Fundam. Informaticae 156(2): 187-208 (2017) - [j7]Linqiang Pan, Zhiqiang Zhang, Tingfang Wu, Jinbang Xu:
Numerical P systems with production thresholds. Theor. Comput. Sci. 673: 30-41 (2017) - 2016
- [j6]Tingfang Wu, Zhiqiang Zhang, Gheorghe Paun, Linqiang Pan:
On the Universality of Colored One-Catalyst P Systems. Fundam. Informaticae 144(2): 205-212 (2016) - [j5]Zhiqiang Zhang, Tingfang Wu, Linqiang Pan:
On String Languages Generated by Sequential Numerical P Systems. Fundam. Informaticae 145(4): 485-509 (2016) - [j4]Tingfang Wu, Yanfeng Wang, Suxia Jiang, Xiaolong Shi:
Small Universal Spiking Neural P Systems with Homogenous Neurons and Synapses. Fundam. Informaticae 149(4): 451-470 (2016) - [j3]Tingfang Wu, Xun Wang, Zheng Zhang, Faming Gong, Tao Song, Zhihua Chen, Pan Zhang, Yang Zhao:
NES-REBS: A novel nuclear export signal prediction method using regular expressions and biochemical properties. J. Bioinform. Comput. Biol. 14(3): 1650013:1-1650013:18 (2016) - [j2]Tingfang Wu, Zhiqiang Zhang
, Gheorghe Paun, Linqiang Pan
:
Cell-like spiking neural P systems. Theor. Comput. Sci. 623: 180-189 (2016) - [j1]Zhiqiang Zhang
, Tingfang Wu, Andrei Paun, Linqiang Pan
:
Numerical P systems with migrating variables. Theor. Comput. Sci. 641: 85-108 (2016) - [c3]Shuo Liu, Kang Zhou, Shan Zeng, Huaqing Qi, Tingfang Wu:
An Image Threshold Segmentation Algorithm with Hybrid Evolutionary Mechanisms Based on Membrane Computing. BIC-TA (1) 2016: 85-94 - [c2]Qinhong Fu, Kang Zhou, Huaqing Qi, Tingfang Wu:
Application of Discrete Ant Colony Optimization in VRPTW. BIC-TA (2) 2016: 204-218 - [c1]Jiangrong Liu, Kang Zhou, Shan Zeng, Huaqing Qi, Bosheng Song, Tingfang Wu:
Improved Multi-step Iterative Algorithms for the Fixed Points of Strongly Pseudo-Contractive Mappings. BIC-TA (2) 2016: 489-496
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last updated on 2024-08-23 19:22 CEST by the dblp team
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