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Hongchun Qu
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Publications
- 2024
- [j33]Lin Li, Hongchun Qu, Zhaoni Li, Jian Zheng, Xiaoming Tang, Ping Liu:
Data Reconstruction via Consensus Graph Learning for Effective Anomaly Detection in Industrial IoT. IEEE Trans. Ind. Informatics 20(3): 3996-4006 (2024) - 2023
- [j32]Hongchun Qu, Yangqi Zheng, Lin Li, Fei Guo:
An Unsupervised Feature Extraction Approach Based on Self-Expression. Big Data 11(1): 18-34 (2023) - [j31]Dianwen Wei, Jian Zheng, Hongchun Qu:
Anomaly detection for blueberry data using sparse autoencoder-support vector machine. PeerJ Comput. Sci. 9: e1214 (2023) - 2022
- [j30]Jian Zheng, Hongchun Qu, Zhaoni Li, Lin Li, Xiaoming Tang:
An irrelevant attributes resistant approach to anomaly detection in high-dimensional space using a deep hypersphere structure. Appl. Soft Comput. 116: 108301 (2022) - [j29]Jian Zheng, Hongchun Qu, Zhaoni Li, Lin Li, Xiaoming Tang:
A deep hypersphere approach to high-dimensional anomaly detection. Appl. Soft Comput. 125: 109146 (2022) - [j28]Hongchun Qu, Yu Li, Wei Liu:
Output Feedback Model Predictive Control for NCSs with Input Quantization. Complex. 2022: 6929902:1-6929902:20 (2022) - [j27]Hongchun Qu, Jian Zheng, Xiaoming Tang:
Effects of loss function and data sparsity on smooth manifold extraction with deep model. Expert Syst. Appl. 198: 116851 (2022) - [j26]Lin Li, Zhaoni Li, Jian Zheng, Hongchun Qu:
Unsupervised dimensionality reduction by jointing dynamic hypergraph and low-rank embedding for classification and clustering. Expert Syst. Appl. 208: 118225 (2022) - [j25]Hongchun Qu, Lin Li, Zhaoni Li, Jian Zheng, Xiaoming Tang:
Robust discriminative projection with dynamic graph regularization for feature extraction and classification. Knowl. Based Syst. 253: 109563 (2022) - [j24]Jian Zheng, Hongchun Qu, Zhaoni Li, Lin Li, Xiaoming Tang, Fei Guo:
A novel autoencoder approach to feature extraction with linear separability for high-dimensional data. PeerJ Comput. Sci. 8: e1061 (2022) - [j23]Lin Li, Hongchun Qu, Zhaoni Li, Jian Zheng, Fei Guo:
Discriminative Projection Learning With Adaptive Reversed Graph Embedding for Supervised and Semi-Supervised Dimensionality Reduction. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8688-8702 (2022) - [j22]Hongchun Qu, Na Wei, Mengyue Li, Yu Li:
Observer-based guaranteed cost control for networked control systems with packet dropout and nonlinear disturbance. Trans. Inst. Meas. Control 44(16): 3255-3265 (2022) - [c9]Hongchun Qu, Jian Xu:
Forecasts of Ecological Time Series based on Vector Similarity S-Map. ICCMS 2022: 142-147 - [p1]Hongchun Qu, Li Yin, Xiaoming Tang:
Multi-objective Automatic Clustering with Gene Rearrangement and Cluster Merging. Advances in Intelligent Systems Research and Innovation 2022: 87-127 - 2021
- [j20]Hongchun Qu, Li Yin, Xiaoming Tang:
An automatic clustering method using multi-objective genetic algorithm with gene rearrangement and cluster merging. Appl. Soft Comput. 99: 106929 (2021) - [j19]Hongchun Qu, Yu Li, Wei Liu:
Robust Constrained Model Predictive Control for T-S Fuzzy Uncertain System with Data Loss and Data Quantization. Complex. 2021: 8865701:1-8865701:25 (2021) - [j18]Hongchun Qu, Lin Li, Zhaoni Li, Jian Zheng:
Supervised discriminant Isomap with maximum margin graph regularization for dimensionality reduction. Expert Syst. Appl. 180: 115055 (2021) - 2020
- [c5]Hongchun Qu, Li Yin:
An Automatic Clustering Algorithm Using NSGA-II with Gene Rearrangement. IEEE Conf. on Intelligent Systems 2020: 503-509 - 2019
- [j14]Siyao Wang, Xiaoming Tang, Li Deng, Hongchun Qu, Linfeng Tian, Cheng Tan:
Predictive Control for Interval Type-2 Fuzzy System with Event-Triggered Scheme. Adv. Fuzzy Syst. 2019: 9365767:1-9365767:13 (2019) - [j13]Xiaoming Tang, Li Deng, Hongchun Qu:
Predictive Control for Networked Interval Type-2 T-S Fuzzy System via an Event-Triggered Dynamic Output Feedback Scheme. IEEE Trans. Fuzzy Syst. 27(8): 1573-1586 (2019) - 2018
- [j12]Hongchun Qu, Libiao Lei, Xiaoming Tang, Ping Wang:
A Lightweight Intrusion Detection Method Based on Fuzzy Clustering Algorithm for Wireless Sensor Networks. Adv. Fuzzy Syst. 2018: 4071851:1-4071851:12 (2018) - [j11]Hongchun Qu, Zeliang Qiu, Xiaoming Tang, Min Xiang, Ping Wang:
Incorporating unsupervised learning into intrusion detection for wireless sensor networks with structural co-evolvability. Appl. Soft Comput. 71: 939-951 (2018) - [j9]Xiaoming Tang, Li Deng, Jimin Yu, Hongchun Qu:
Output Feedback Predictive Control of Interval Type-2 T-S Fuzzy Systems With Markovian Packet Loss. IEEE Trans. Fuzzy Syst. 26(4): 2450-2459 (2018) - 2016
- [j8]Hongchun Qu, Shuai Wang:
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). 计算机科学 43(Z6): 335-338 (2016) - 2012
- [j6]Hongchun Qu, Youlan Wang, Linqin Cai, Ting Wang, Zhonghua Lu:
Orange tree simulation under heterogeneous environment using agent-based model ORASIM. Simul. Model. Pract. Theory 23: 19-35 (2012) - 2011
- [c2]Hongchun Qu, Junhong Zhang, Jiewei Lin, Liang Ma:
Turbofan Engine Blade Vibration Model Analysis and Design Parameters Effects. ICDMA 2011: 1375-1379 - 2010
- [j5]Lingqiu Zeng, Hongchun Qu, Qingsheng Zhu, Youlan Wang:
Incorporating Graph Automata into Plant Growth Simulation with Nutrients Transport. J. Digit. Content Technol. its Appl. 4(6): 18-25 (2010) - [j4]Lingqiu Zeng, Hongchun Qu, Qingsheng Zhu, Youlan Wang:
Incorporating Graph Automata into Plant Growth Simulation with Nutrients Transport. J. Digit. Content Technol. its Appl. 4(8): 15-22 (2010) - [j2]Hongchun Qu, Qingsheng Zhu, Mingwei Guo, Zhonghua Lu:
Simulation of carbon-based model for virtual plants as complex adaptive system. Simul. Model. Pract. Theory 18(6): 677-695 (2010) - 2009
- [j1]Hongchun Qu, Qingsheng Zhu, Mingwei Guo, Zhonghua Lu:
An Intelligent Learning Approach to L-Grammar Extraction from Image Sequences of Real Plants. Int. J. Artif. Intell. Tools 18(6): 905-927 (2009) - 2008
- [c1]Qingsheng Zhu, Mingwei Guo, Hongchun Qu, Qingqing Deng:
Intelligent Growth Automaton of Virtual plant Based on Physiological Engine. CCTA (2) 2008: 1477-1486
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