Search Results - "Guo, Runyuan"

Adversarial Robustness Enhancement for Deep Learning-Based Soft Sensors: An Adversarial Training Strategy Using Historical Gradients and Domain Adaptation by Guo, Runyuan, Chen, Qingyuan, Liu, Han, Wang, Wenqing

“…Despite their high prediction accuracy, deep learning-based soft sensor (DLSS) models face challenges related to adversarial robustness against malicious…”
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ODNet: A High Real-Time Network Using Orthogonal Decomposition for Few-Shot Strip Steel Surface Defect Classification by Zhang, He, Liu, Han, Guo, Runyuan, Liang, Lili, Liu, Qing, Ma, Wenlu

“…Strip steel plays a crucial role in modern industrial production, where enhancing the accuracy and real-time capabilities of surface defect classification is…”
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A Hybrid Mechanism- and Data-Driven Soft Sensor Based on the Generative Adversarial Network and Gated Recurrent Unit by Guo, Runyuan, Liu, Han

“…As an effective means of sensing difficult-to-measure process variables in real time, soft sensors are widely used but have a few significant limitations…”
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Semisupervised dynamic soft sensor based on complementary ensemble empirical mode decomposition and deep learning by Guo, Runyuan, Liu, Han

“…•CEEMD and Isomap are combined to eliminate noise and redundancy in the data.•A new semisupervised dynamic soft sensor model named SSDGRU-CNN is proposed.•The…”
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When Deep Learning-Based Soft Sensors Encounter Reliability Challenges: A Practical Knowledge-Guided Adversarial Attack and Its Defense by Guo, Runyuan, Liu, Han, Liu, Ding

“…Deep learning-based soft sensors (DLSSs) have been demonstrated to exhibit significantly improved sensing accuracy; however, their vulnerability to adversarial…”
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A Self-Interpretable Soft Sensor Based on Deep Learning and Multiple Attention Mechanism: From Data Selection to Sensor Modeling by Guo, Runyuan, Liu, Han, Xie, Guo, Zhang, Youmin, Liu, Ding

“…For deep learning-based soft sensors, the lack of interpretability and the consequent unreliability has become one of the most important problems. In this…”
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Weld Defect Detection From Imbalanced Radiographic Images Based on Contrast Enhancement Conditional Generative Adversarial Network and Transfer Learning by Guo, Runyuan, Liu, Han, Xie, Guo, Zhang, Youmin

“…When a sensor data-based detection method is used to detect the potential defects of industrial products, the data are normally imbalanced. This problem…”
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Soft sensor based on DBN-IPSO-SVR approach for rotor thermal deformation prediction of rotary air-preheater by Lian, Penglong, Liu, Han, Wang, Xiao, Guo, Runyuan

“…[Display omitted] •The grey relational analysis method is employed to select significant variables.•Use the improved deep belief network to fully extract the…”
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Context-Aware Enhanced Virtual Try-On Network with fabric adaptive registration by Tong, Shuo, Liu, Han, Guo, Runyuan, Wang, Wenqing, Liu, Ding

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An Extending Inter-class Distance Real-Time Network Using Positional Orientation Transformation for Few-shot Strip Steel Surface Defect Classification by Zhang, He, Liu, Han, Guo, Runyuan, Liu, Qing, Liang, Lili, Ma, Wenlu, Liu, Ding

“…In the era of intelligent manufacturing, the rapid and accurate classification of strip steel surface defects is crucial. Deep learning typically relies on a…”
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A Self-Interpretable Deep Learning Soft Sensor Based on Spatio-Temporal Causal Discovery Graph by Tian, Xueqiong, Liu, Han, Guo, Runyuan

“…As the complexity of industrial system and process data increases, deep learning has demonstrated performance beyond traditional methods in the soft sensor…”
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An Interpretable Soft Sensor Model for Power Plant Process Based on Deep Learning by Jing, Yurong, Liu, Han, Guo, Runyuan

“…For deep learning-based soft sensors, the lack of interpretability leading to unreliable models has become one of the most important issues. In this study, we…”
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Intrusion Detection Algorithm of CAN Bus Data Flow Based on Inception-ResNet Model by Sun, Yuanhao, Liu, Han, Guo, Runyuan

“…With the rapid development of the industrial internet, the volume of data in industrial networks is increasing, and network attacks are becoming more concealed…”
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Knowledge-Aided Generative Adversarial Network: A Transfer Gradient-Less Adversarial Attack for Deep Learning-Based Soft Sensors by Guo, Runyuan, Chen, Qingyuan, Tong, Shuo, Liu, Han

“…With the increasing complexity of modern industrial and process data, deep learning-based soft sensor (DLSS) models have provided more efficient sensing…”
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Air Preheater Rotor Deformation Soft Sensor Based on Wavelet Analysis and SVR by Zhao, Yufan, Liu, Han, Guo, Runyuan, Xie, Guo, Zhang, Youmin

“…The rotary preheater can fully absorb the waste heat of the tail flue gas in power boiler to improve the whole efficiency of the boiler unit, but the air…”
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A Hybrid-driven Soft Sensor with Complex Process Data Based on DAE and Mechanism-introduced GRU by Guo, Runyuan, Liu, Han, Wang, Wenqing, Xie, Guo, Zhang, Youmin

“…With the increasing complexity of industrial processes, process big data inevitably has strong nonlinear, dynamic and noise problems, which restrict the…”
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Soft Sensor Method Based on Deep Belief Network for Rotor Thermal Deformation of Rotary Air Preheater by Lian, Penglong, Liu, Han, Wang, Xiao, Guo, Runyuan

“…In this paper, to detect the rotor thermal deformation of rotary air preheater, a soft sensor method based on Deep Belief Network (DBN) is proposed. The rotor…”
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Weakly Supervised Exaggeration Transfer for Caricature Generation With Cross-Modal Knowledge Distillation by Tong, Shuo, Liu, Han, He, Yuxin, Du, Chenxiao, Wang, Wenqing, Guo, Runyuan, Liu, Jingyun

“…Caricature generation aims to translate portrait photos into caricatures with exaggerated and hand-drawn artistic styles. Previous methods faced challenges in…”
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