Intelligent Information Technologies in Fruit Industry. - Lie Deng; Qiang Lyu; Simon X. Yang (Intell. Autom. Soft Comput., 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)

Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning. - Qiang Lyu; Yixin Chen 001; Zhaorong Li; Zhicheng Cui; Ling Chen 005; Xing Zhang; Haihua Shen (CoRR, 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)

Deep learning methods for protein torsion angle prediction. - Haiou Li; Jie Hou 001; Badri Adhikari; Qiang Lyu; Jianlin Cheng (BMC 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 Conditional Random Field Approach to Transmembrane Topology Prediction and Application to GPCR Three-Dimensional Structure Modeling. - Hongjie Wu; Kun Wang 005; Liyao Lu; Yu Xue 003; Qiang Lyu; Min Jiang 009 (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

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)

Construction of a knee osteoarthritis diagnostic system based on X-ray image processing. - Yongping Li; Ning Xu; Qiang Lyu (Clust. Comput., 2019)

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)

Discovering indicators of dark horse of soccer games by deep learning from sequential trading data. - Liyao Lu; Qiang Lyu (CoRR, 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)

Developing parallel ant colonies filtered by deep learned constrains for predicting RNA secondary structure with pseudo-knots. - Lijun Quan; Leixin Cai; Yu Chen 064; Jie Mei; Xiaoyu Sun 006; Qiang Lyu (Neurocomputing, 2020)

Evolution-Communication Spiking Neural P Systems. - Tingfang Wu; Qiang Lyu; Linqiang Pan (Int. J. Neural Syst., 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 006; Liangpeng Nie; Kailong Li; Qiang Lyu (IEEE J. Biomed. Health Informatics, 2021)

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 (ICMIP, 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)

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)

Asynchronous spiking neural P systems with local synchronization of rules. - Tingfang Wu; Luping Zhang; Qiang Lyu; Yu Jin (Inf. Sci., 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)

Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities. - Lijun Quan; Xiaoyu Sun 006; Jian Wu; Jie Mei; Liqun Huang; Ruji He; Liangpeng Nie; Yu Chen 064; Qiang Lyu (IEEE ACM Trans. Comput. Biol. Bioinform., 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)

Compositional Prototypical Networks for Few-Shot Classification. - Qiang Lyu; Weiqiang Wang (AAAI, 2023)

WCANet: Wavelet Channel Attention Network for Citrus Variety Identification. - Fukai Zhang; Xiaobo Jin; Jie Jiang; Shan An; Qiang Lyu (ICIP, 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)

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)

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)

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)

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 006; Tingfang Wu; Qiang Lyu (IEEE ACM Trans. Comput. Biol. Bioinform., 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., 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., 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., 2023)

Hybrid attention network for citrus disease identification. - Fukai Zhang; Xiaobo Jin; Gang Lin; Jie Jiang; Mingzhi Wang; Shan An; Junhua Hu; Qiang Lyu (Comput. Electron. Agric., 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., 2024)

MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. - Junkai Wang; Lijun Quan; Zhi Jin; Hongjie Wu; Xuhao Ma; Xuejiao Wang; Jingxin Xie; Deng Pan; Taoning Chen; Tingfang Wu; Qiang Lyu (IEEE J. Biomed. Health Informatics, 2024)

Multi-Channel Signals in Dynamic Force-Clamp Mode of Microcantilever Sensors for Detecting Cellular Peripheral Brush. - Qiang Lyu; Fan Pei; Ying-Long Zhao; Jia-Wei Ling; Neng-Hui Zhang (Sensors, 2024)

Securing Urban Landscape: Cybersecurity Mechanisms for Resilient Smart Cities. - Qiang Lyu; Sujuan Liu; Zhouyuan Shang (IEEE Access, 2025)

DS-MVP: identifying disease-specific pathogenicity of missense variants by pre-training representation. - Qiufeng Chen; Lijun Quan; Lexin Cao; Bei Zhang; Zhijun Zhang; Liangchen Peng; Junkai Wang; Yelu Jiang; Liangpeng Nie; Geng Li; Tingfang Wu; Qiang Lyu (Briefings Bioinform., 2025)

AffiGrapher: Contrastive Heterogeneous Graph Learning with Aromatic Virtual Nodes for RNA-Small Molecule Binding Affinity Prediction. - Junkai Wang; Jian Wu; Zhijun Zhang; Yelu Jiang; Liangchen Peng; Bei Zhang; Qiufeng Chen; Lexin Cao; Lijun Quan; Qiang Lyu (J. Chem. Inf. Model., 2025)

MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep Model. - Jia Xu; Tingfang Wu; Yelu Jiang; Liangpeng Nie; Geng Li; Yi Zhang; Zhenglong Zhou; Yiwei Chen; Lijun Quan; Qiang Lyu (J. Chem. Inf. Model., 2025)

MVCL-DTI: Predicting Drug-Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous Graph. - Bei Zhang; Lijun Quan; Zhijun Zhang; Lexin Cao; Qiufeng Chen; Liangchen Peng; Junkai Wang; Yelu Jiang; Liangpeng Nie; Geng Li; Tingfang Wu; Qiang Lyu (J. Chem. Inf. Model., 2025)

AACDR: Integrating Graph Isomorphism Networks and Asymmetric Adversarial Domain Adaptation for Cancer Drug Response Prediction. - Yi Zhang; Tingfang Wu; Liangpeng Nie; Yelu Jiang; Geng Li; Jia Xu; Zhenglong Zhou; Yiwei Chen; Lijun Quan; Qiang Lyu (J. Chem. Inf. Model., 2025)

Fine-grained recognition of citrus varieties via wavelet channel attention network. - Fukai Zhang; Xiaobo Jin; Jie Jiang; Gang Lin; Mingzhi Wang; Shan An; Qiang Lyu (Knowl. Based Syst., 2025)