Qiang Lyu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Predicting Protein

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

J. Chem. Inf. Model.

Publications

Fukai Zhang, Xiaobo Jin, Gang Lin, Jie Jiang, Mingzhi Wang, Shan An, Junhua Hu, Qiang Lyu
Hybrid attention network for citrus disease identification. Comput. Electron. Agric. 220 (2024)
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)
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) (2024)
Qiang Lyu, Weiqiang Wang
Compositional Prototypical Networks for Few-Shot Classification. AAAI (2023)
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) (2023)
Qiang Lyu, Weiqiang Wang
Compositional Prototypical Networks for Few-Shot Classification. CoRR (2023)
Ling Song, Hongxin Liu, Shunming Lyu, Xiaofei Niu, Tie Hou, Yuling Ma, Qiang Lyu
Exploring human behavior patterns and socio-demographic factors based on American Time Use Survey. Concurr. Comput. Pract. Exp. 35 (20) (2023)
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) (2023)
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) (2023)
Fukai Zhang, Xiaobo Jin, Jie Jiang, Shan An, Qiang Lyu
WCANet: Wavelet Channel Attention Network for Citrus Variety Identification. ICIP (2023)
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) (2023)
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)
Kailong Li, Lijun Quan, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
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) (2023)
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) (2022)
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) (2022)
Tingfang Wu, Luping Zhang, Qiang Lyu, Yu Jin
Asynchronous spiking neural P systems with local synchronization of rules. Inf. Sci. 588 (2022)
Lijun Quan, Xiaoyu Sun, Jian Wu, Jie Mei, Liqun Huang, Ruji He, Liangpeng Nie, Yu Chen, Qiang Lyu
Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Yunhou Liu, Qiang Lyu, Yanjie Zhang, Chao Yang, Qifan Yang, Feng Zhou
On-line intelligent visual identification algorithm of power equipment state under the complex environment based on SIFT. ICMIP (2022)
Yidong Du, Lijian Wu, Zekai Lyu, Youtong Fang, Xinzhen Wu, Qiang Lyu
Influence of Start Rotor Position on Three-Phase Short-Circuit Current in Dual Three-Phase Surface-Mounted PM Machines. IEEE Trans. Ind. Electron. 69 (5) (2022)
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) (2022)
Lijun Quan, Jie Mei, Ruji He, Xiaoyu Sun, Liangpeng Nie, Kailong Li, Qiang Lyu
Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding Microarrays. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Tingfang Wu, Qiang Lyu, Linqiang Pan
Evolution-Communication Spiking Neural P Systems. Int. J. Neural Syst. 31 (2) (2021)
Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, Qiang Lyu, Yongqiang Zheng, John Yearwood
Deep Metric Learning Based Citrus Disease Classification With Sparse Data. IEEE Access 8 (2020)
Baolei Cheng, Jianxi Fan, Qiang Lyu, Cheng-Kuan Lin, Xiaoyan Li, Guo Chen
Constructing Node-Independent Spanning Trees in Augmented Cubes. Fundam. Informaticae 176 (2) (2020)
Lijun Quan, Leixin Cai, Yu Chen, Jie Mei, Xiaoyu Sun, Qiang Lyu
Developing parallel ant colonies filtered by deep learned constrains for predicting RNA secondary structure with pseudo-knots. Neurocomputing 384 (2020)
Liyao Lu, Qiang Lyu
Discovering indicators of dark horse of soccer games by deep learning from sequential trading data. CoRR (2020)
Yongping Li, Ning Xu, Qiang Lyu
Construction of a knee osteoarthritis diagnostic system based on X-ray image processing. Clust. Comput. 22 (6) (2019)
Baolei Cheng, Jianxi Fan, Qiang Lyu, Jingya Zhou, Zhao Liu
Constructing independent spanning trees with height n on the n-dimensional crossed cube. Future Gener. Comput. Syst. 87 (2018)
Pan Zhang, Kejian Wang, Qiang Lyu, Shaolan He, Shilai Yi, Rangjin Xie, Yongqiang Zheng, Yanyan Ma, Lie Deng
Droplet Distribution and control against citrus Leafminer with UAV Spraying. Int. J. Robotics Autom. 32 (3) (2017)
Haiou Li, Jie Hou, Badri Adhikari, Qiang Lyu, Jianlin Cheng
Deep learning methods for protein torsion angle prediction. BMC Bioinform. 18 (1) (2017)
Hongjie Wu, Kun Wang, Liyao Lu, Yu Xue, Qiang Lyu, Min Jiang
Deep Conditional Random Field Approach to Transmembrane Topology Prediction and Application to GPCR Three-Dimensional Structure Modeling. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (5) (2017)
Haiou Li, Lu Sun, Sheng Luo, Xiaoyan Xia, Qiang Lyu
Modeling Protein Loop Structure by Cyclic Coordinate Descent-based Approach. J. Comput. Biol. 23 (2) (2016)
Qiang Lyu, Yixin Chen, Zhaorong Li, Zhicheng Cui, Ling Chen, Xing Zhang, Haihua Shen
Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning. CoRR (2016)
Qiang Lyu, Qiuhong Liao, Yanli Liu, Yubin Lan
Feasibility of SSC Prediction for Navel Orange Based on Origin Recognition Using NIR Spectroscopy. Intell. Autom. Soft Comput. 21 (3) (2015)
Lie Deng, Qiang Lyu, Simon X. Yang
Intelligent Information Technologies in Fruit Industry. Intell. Autom. Soft Comput. 21 (3) (2015)