Intelligent Growth Automaton of Virtual plant Based on Physiological Engine. - Qingsheng Zhu; Mingwei Guo; Hongchun Qu; Qingqing Deng (CCTA (2), 2008)

An Intelligent Learning Approach to L-Grammar Extraction from Image Sequences of Real Plants. - Hongchun Qu; Qingsheng Zhu; Mingwei Guo; Zhonghua Lu (Int. J. Artif. Intell. Tools, 2009)

Incorporating Graph Automata into Plant Growth Simulation with Nutrients Transport. - Lingqiu Zeng; Hongchun Qu; Qingsheng Zhu; Youlan Wang (J. Digit. Content Technol. its Appl., 2010)

Virtual EP: a simulator of multi-agents-based virtual plant growth in response to environmental heterogeneity. - Hongchun Qu; Q. Zhu; H. Fu; Z. Lu (J. Simulation, 2010)

Simulation of carbon-based model for virtual plants as complex adaptive system. - Hongchun Qu; Qingsheng Zhu; Mingwei Guo; Zhonghua Lu (Simul. Model. Pract. Theory, 2010)

Turbofan Engine Blade Vibration Model Analysis and Design Parameters Effects. - Hongchun Qu; Junhong Zhang; Jiewei Lin; Liang Ma (ICDMA, 2011)

Orange tree simulation under heterogeneous environment using agent-based model ORASIM. - Hongchun Qu; Youlan Wang; Linqin Cai; Ting Wang; Zhonghua Lu (Simul. Model. Pract. Theory, 2012)

A spatially explicit agent-based simulation platform for investigating effects of shared pollination service on ecological communities. - Hongchun Qu; Tal Seifan; Katja Tielbörger; Merav Seifan (Simul. Model. Pract. Theory, 2013)

一种基于进化神经网络的混合入侵检测模型 (Hybrid Intrusion Detection Model Based on Evolutionary Neural Network). - Hongchun Qu; Shuai Wang (计算机科学, 2016)

A Lightweight Intrusion Detection Method Based on Fuzzy Clustering Algorithm for Wireless Sensor Networks. - Hongchun Qu; Libiao Lei; Xiaoming Tang; Ping Wang 008 (Adv. Fuzzy Syst., 2018)

Incorporating unsupervised learning into intrusion detection for wireless sensor networks with structural co-evolvability. - Hongchun Qu; Zeliang Qiu; Xiaoming Tang; Min Xiang; Ping Wang 008 (Appl. Soft Comput., 2018)

Simulation-based modeling of wild blueberry pollination. - Hongchun Qu; Frank Drummond (Comput. Electron. Agric., 2018)

Output Feedback Predictive Control of Interval Type-2 T-S Fuzzy Systems With Markovian Packet Loss. - Xiaoming Tang; Li Deng 005; Jimin Yu; Hongchun Qu (IEEE Trans. Fuzzy Syst., 2018)

A Simulation-Based Approach to Assessing Effects of Indirect Interactions on Species Viability In Facing of Environmental Disturbances. - Hongchun Qu; Dandan Zhong; Kaidi Zou (ICCMS, 2019)

Predictive Control for Interval Type-2 Fuzzy System with Event-Triggered Scheme. - Siyao Wang; Xiaoming Tang; Li Deng 005; Hongchun Qu; Linfeng Tian; Cheng Tan (Adv. Fuzzy Syst., 2019)

Predictive Control for Networked Interval Type-2 T-S Fuzzy System via an Event-Triggered Dynamic Output Feedback Scheme. - Xiaoming Tang; Li Deng 005; Hongchun Qu (IEEE Trans. Fuzzy Syst., 2019)

Integrated Learning Method for Anomaly Detection Combining KLSH and Isolation Principles. - Hongchun Qu; Zonglan Li; Jingjing Wu (CEC, 2020)

A Simulation Study on the Influence of Temperature on the Symbiotic System of Fig and Fig Wasp. - Hongchun Qu; Shuang Cui (ICCMS, 2020)

Threshold Optimized Strategy Based on Improved Flower Pollination Algorithm for Unbalanced Data. - Hongchun Qu; Geng Liu (IEEE Conf. on Intelligent Systems, 2020)

An Automatic Clustering Algorithm Using NSGA-II with Gene Rearrangement. - Hongchun Qu; Li Yin (IEEE Conf. on Intelligent Systems, 2020)

Wild blueberry yield prediction using a combination of computer simulation and machine learning algorithms. - Efrem Yohannes Obsie; Hongchun Qu; Francis Drummond (Comput. Electron. Agric., 2020)

MaskHunter: real-time object detection of face masks during the COVID-19 pandemic. - Zhihao Cao; Mingfeng Shao; Li Xu; Shaomin Mu; Hongchun Qu (IET Image Process., 2020)

Amharic Character Recognition Based on Features Extracted by CNN and Auto-Encoder Models. - Efrem Yohannes Obsie; Hongchun Qu; Qingqin Huang (ICCMS, 2021)

Causal Research on Soil Temperature and Moisture Content at Different Depths. - Zhihao Cao; Shaomin Mu; Li Xu; Mingfeng Shao; Hongchun Qu (IEEE Access, 2021)

An automatic clustering method using multi-objective genetic algorithm with gene rearrangement and cluster merging. - Hongchun Qu; Li Yin; Xiaoming Tang (Appl. Soft Comput., 2021)

Robust Constrained Model Predictive Control for T-S Fuzzy Uncertain System with Data Loss and Data Quantization. - Hongchun Qu; Yu Li; Wei Liu (Complex., 2021)

Supervised discriminant Isomap with maximum margin graph regularization for dimensionality reduction. - Hongchun Qu; Lin Li 083; Zhaoni Li; Jian Zheng 004 (Expert Syst. Appl., 2021)

Deep Neural Network for Somatic Mutation Classification. - Haifeng Wang; Chengche Wang; Hongchun Qu (Sci. Program., 2021)

Multi-objective Automatic Clustering with Gene Rearrangement and Cluster Merging. - Hongchun Qu; Li Yin; Xiaoming Tang (Advances in Intelligent Systems Research and Innovation, 2022)

Conformal transformation twin-hyperspheres for highly imbalanced data to binary classification. - Jian Zheng 004; Hongchun Qu; Zhoni Li; Lin Li 083 (DSAA, 2022)

Forecasts of Ecological Time Series based on Vector Similarity S-Map. - Hongchun Qu; Jian Xu (ICCMS, 2022)

An irrelevant attributes resistant approach to anomaly detection in high-dimensional space using a deep hypersphere structure. - Jian Zheng 004; Hongchun Qu; Zhaoni Li; Lin Li 083; Xiaoming Tang (Appl. Soft Comput., 2022)

A deep hypersphere approach to high-dimensional anomaly detection. - Jian Zheng 004; Hongchun Qu; Zhaoni Li; Lin Li 083; Xiaoming Tang (Appl. Soft Comput., 2022)

Output Feedback Model Predictive Control for NCSs with Input Quantization. - Hongchun Qu; Yu Li; Wei Liu (Complex., 2022)

Unsupervised dimensionality reduction by jointing dynamic hypergraph and low-rank embedding for classification and clustering. - Lin Li 083; Zhaoni Li; Jian Zheng 004; Hongchun Qu (Expert Syst. Appl., 2022)

Effects of loss function and data sparsity on smooth manifold extraction with deep model. - Hongchun Qu; Jian Zheng 004; Xiaoming Tang (Expert Syst. Appl., 2022)

Robust discriminative projection with dynamic graph regularization for feature extraction and classification. - Hongchun Qu; Lin Li 083; Zhaoni Li; Jian Zheng 004; Xiaoming Tang (Knowl. Based Syst., 2022)

A novel autoencoder approach to feature extraction with linear separability for high-dimensional data. - Jian Zheng 004; Hongchun Qu; Zhaoni Li; Lin Li 083; Xiaoming Tang; Fei Guo (PeerJ Comput. Sci., 2022)

Discriminative Projection Learning With Adaptive Reversed Graph Embedding for Supervised and Semi-Supervised Dimensionality Reduction. - Lin Li 083; Hongchun Qu; Zhaoni Li; Jian Zheng 004; Fei Guo (IEEE Trans. Circuits Syst. Video Technol., 2022)

Observer-based guaranteed cost control for networked control systems with packet dropout and nonlinear disturbance. - Hongchun Qu; Na Wei; Mengyue Li; Yu Li (Trans. Inst. Meas. Control, 2022)

A Multi-objective Genetic Approach to Clustering with Solution Recommendation. - Hongchun Qu; Shitai Chen (ISCSIC, 2023)

MS-YOLOv5: Improved YOLOv5 Based on Multi-Head Self-Attention for Citrus Leaf Disease Severity Estimation. - Hongchun Qu; Qianyi Bian (MLMI, 2023)

Review on Causality Detection Based on Empirical Dynamic Modeling. - Zhihao Cao; Hongchun Qu (CoRR, 2023)

Anomaly detection for blueberry data using sparse autoencoder-support vector machine. - Dianwen Wei; Jian Zheng 004; Hongchun Qu (PeerJ Comput. Sci., 2023)

An Unsupervised Feature Extraction Approach Based on Self-Expression. - Hongchun Qu; Yangqi Zheng; Lin Li; Fei Guo (Big Data, 2023)

Cluster Dependency and Synchronization of multilayer Directed Networks from a Quotient Graph Perspective. - Yongtao Xie; Shidong Zhai; Ping Liu; Hongchun Qu (Adv. Complex Syst., 2024)

Adaptive event-triggered output feedback control for uncertain networked T-S fuzzy system with data loss and bounded disturbance: An efficient MPC strategy. - Xiaoming Tang; Kun Zhao; Lei Zhang; Xiao Lv; Hongchun Qu (J. Frankl. Inst., 2024)

A fast and efficient approach to estimate wild blueberry yield using machine learning with drone photography: Flight altitude, sampling method and model effects. - Hongchun Qu; Chaofang Zheng; Hao Ji; Kallol Barai; Yong-Jiang Zhang (Comput. Electron. Agric., 2024)

Data Reconstruction via Consensus Graph Learning for Effective Anomaly Detection in Industrial IoT. - Lin Li 083; Hongchun Qu; Zhaoni Li; Jian Zheng 004; Xiaoming Tang; Ping Liu (IEEE Trans. Ind. Informatics, 2024)

Decay Aggregation Efficient Output Feedback MPC for Networked Interval Type-2 T-S Fuzzy Systems With AET Mechanism and Deception Attack. - Xiaoming Tang; Xi Su; Kun Zhao; Hongchun Qu; Linqin Cai (IEEE Trans. Fuzzy Syst., 2024)

An efficient industrial defect detection based on hybrid residual attention with modified generative adversarial network and convolutional neural network model. - Asadulla Ashurov; Hongchun Qu (Comput. Electr. Eng., 2025)