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2020 – today
- 2024
[j31]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)- [j30]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: 108907 (2024) - [j29]Qiang Lyu, Fan Pei, Ying-Long Zhao, Jia-Wei Ling, Neng-Hui Zhang:
Multi-Channel Signals in Dynamic Force-Clamp Mode of Microcantilever Sensors for Detecting Cellular Peripheral Brush. Sensors 24(19): 6312 (2024) - [j28]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
- [j27]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) - [j26]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) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]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) - [c3]Qiang Lyu, Weiqiang Wang:
Compositional Prototypical Networks for Few-Shot Classification. AAAI 2023: 9011-9019 - [c2]Fukai Zhang, Xiaobo Jin, Jie Jiang, Shan An, Qiang Lyu:
WCANet: Wavelet Channel Attention Network for Citrus Variety Identification. ICIP 2023: 2845-2849 - [i3]Qiang Lyu, Weiqiang Wang:
Compositional Prototypical Networks for Few-Shot Classification. CoRR abs/2306.06584 (2023) - 2022
- [j19]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) - [j18]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) - [j17]Tingfang Wu, Luping Zhang, Qiang Lyu, Yu Jin:
Asynchronous spiking neural P systems with local synchronization of rules. Inf. Sci. 588: 1-12 (2022) - [j16]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) - [j15]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): 998-1008 (2022) - [j14]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): 4419-4430 (2022) - [c1]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: 54-58 - 2021
- [j13]Tingfang Wu, Qiang Lyu, Linqiang Pan:
Evolution-Communication Spiking Neural P Systems. Int. J. Neural Syst. 31(2): 2050064:1-2050064:18 (2021) - [j12]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): 2811-2819 (2021) - 2020
- [j11]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: 162588-162600 (2020) - [j10]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): 103-128 (2020) - [j9]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: 104-114 (2020) - [i2]Liyao Lu, Qiang Lyu:
Discovering indicators of dark horse of soccer games by deep learning from sequential trading data. CoRR abs/2008.00682 (2020)
2010 – 2019
- 2019
- [j8]Yongping Li, Ning Xu, Qiang Lyu:
Construction of a knee osteoarthritis diagnostic system based on X-ray image processing. Clust. Comput. 22(6): 15533-15540 (2019) - 2018
- [j7]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: 404-415 (2018) - 2017
- [j6]Haiou Li, Jie Hou, Badri Adhikari, Qiang Lyu, Jianlin Cheng:
Deep learning methods for protein torsion angle prediction. BMC Bioinform. 18(1): 417:1-417:13 (2017) - [j5]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) - [j4]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): 1106-1114 (2017) - 2016
- [j3]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): 123-136 (2016) - [i1]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 abs/1611.00873 (2016) - 2015
- [j2]Lie Deng, Qiang Lyu, Simon X. Yang:
Intelligent Information Technologies in Fruit Industry. Intell. Autom. Soft Comput. 21(3): 265-267 (2015) - [j1]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): 305-317 (2015)
Coauthor Index
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