Qiang Lyu

According to our database, Qiang Lyu authored at least 33 papers between 2015 and 2024.

Collaborative distances:

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

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

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

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

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

Exploring human behavior patterns and socio-demographic factors based on American Time Use Survey.

Ling Song, Hongxin Liu, Shunming Lyu, Xiaofei Niu, Tie Hou, Yuling Ma, Qiang Lyu

Concurr. Comput. Pract. Exp., 2023

WCANet: Wavelet Channel Attention Network for Citrus Variety Identification.

Fukai Zhang, Xiaobo Jin, Jie Jiang, Shan An, Qiang Lyu

Proceedings of the IEEE International Conference on Image Processing, 2023

Compositional Prototypical Networks for Few-Shot Classification.

Qiang Lyu, Weiqiang Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Influence of Start Rotor Position on Three-Phase Short-Circuit Current in Dual Three-Phase Surface-Mounted PM Machines.

Yidong Du, Lijian Wu, Zekai Lyu, Youtong Fang, Xinzhen Wu, Qiang Lyu

IEEE Trans. Ind. Electron., 2022

Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities.

Lijun Quan, Xiaoyu Sun, Jian Wu, Jie Mei, Liqun Huang, Ruji He, Liangpeng Nie, Yu Chen, Qiang Lyu

IEEE ACM Trans. Comput. Biol. Bioinform., 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

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

On-line intelligent visual identification algorithm of power equipment state under the complex environment based on SIFT.

Yunhou Liu, Qiang Lyu, Yanjie Zhang, Chao Yang, Qifan Yang, Feng Zhou

Proceedings of the ICMIP 2022: 7th International Conference on Multimedia and Image Processing, Tianjin, China, January 14, 2022

2021

Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding Microarrays.

Lijun Quan, Jie Mei, Ruji He, Xiaoyu Sun, Liangpeng Nie, Kailong Li, Qiang Lyu

IEEE J. Biomed. Health Informatics, 2021

Evolution-Communication Spiking Neural P Systems.

Tingfang Wu, Qiang Lyu, Linqiang Pan

Int. J. Neural Syst., 2021

2020

Developing parallel ant colonies filtered by deep learned constrains for predicting RNA secondary structure with pseudo-knots.

Lijun Quan, Leixin Cai, Yu Chen, Jie Mei, Xiaoyu Sun, Qiang Lyu

Neurocomputing, 2020

Constructing Node-Independent Spanning Trees in Augmented Cubes.

Baolei Cheng, Jianxi Fan, Qiang Lyu, Cheng-Kuan Lin, Xiaoyan Li, Guo Chen

Fundam. Informaticae, 2020

Discovering indicators of dark horse of soccer games by deep learning from sequential trading data.

Liyao Lu, Qiang Lyu

CoRR, 2020

Deep Metric Learning Based Citrus Disease Classification With Sparse Data.

Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, Qiang Lyu, Yongqiang Zheng, John Yearwood

IEEE Access, 2020

2019

Construction of a knee osteoarthritis diagnostic system based on X-ray image processing.

Yongping Li, Ning Xu, Qiang Lyu

Clust. Comput., 2019

2018

Constructing independent spanning trees with height n on the n-dimensional crossed cube.

Baolei Cheng, Jianxi Fan, Qiang Lyu, Jingya Zhou, Zhao Liu

Future Gener. Comput. Syst., 2018

2017

Deep Conditional Random Field Approach to Transmembrane Topology Prediction and Application to GPCR Three-Dimensional Structure Modeling.

Hongjie Wu, Kun Wang, Liyao Lu, Yu Xue, Qiang Lyu, Min Jiang

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Droplet Distribution and control against citrus Leafminer with UAV Spraying.

Pan Zhang, Kejian Wang, Qiang Lyu, Shaolan He, Shilai Yi, Rangjin Xie, Yongqiang Zheng, Yanyan Ma, Lie Deng

Int. J. Robotics Autom., 2017

Deep learning methods for protein torsion angle prediction.

Haiou Li, Jie Hou, Badri Adhikari, Qiang Lyu, Jianlin Cheng

BMC Bioinform., 2017

2016

Modeling Protein Loop Structure by Cyclic Coordinate Descent-based Approach.

Haiou Li, Lu Sun, Sheng Luo, Xiaoyan Xia, Qiang Lyu

J. Comput. Biol., 2016

Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning.

Qiang Lyu, Yixin Chen, Zhaorong Li, Zhicheng Cui, Ling Chen, Xing Zhang, Haihua Shen

CoRR, 2016

2015

Feasibility of SSC Prediction for Navel Orange Based on Origin Recognition Using NIR Spectroscopy.

Qiang Lyu, Qiuhong Liao, Yanli Liu, Yubin Lan

Intell. Autom. Soft Comput., 2015

Intelligent Information Technologies in Fruit Industry.

Lie Deng, Qiang Lyu, Simon X. Yang

Intell. Autom. Soft Comput., 2015