Yi Liu

According to our database, Yi Liu authored at least 44 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Transfer Dynamic Latent Variable Modeling for Quality Prediction of Multimode Processes.

Chao Yang, Qiang Liu, Yi Liu, Yiu-Ming Cheung

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction.

Jinyin Chen, Haiyang Xiong, Haibin Zheng, Jian Zhang, Yi Liu

IEEE Trans. Netw. Sci. Eng., 2024

Multiphase Flow Modeling Using Process Knowledge Integrating Temporal Graph Convolution Network.

Hongying Deng, Jialiang Zhu, Qinmin Yang, Yi Liu

IEEE Trans. Instrum. Meas., 2024

A Systematic Monitoring Framework Utilizing Dynamic Bayesian Network in Plant-Wide Processes.

Guangjie Chen, Le Zhou, Junhua Zheng, Yi Liu, Zhihuan Song

IEEE Trans. Instrum. Meas., 2024

2023

Generative Deep Learning-Based Thermographic Inspection of Artwork.

Yi Liu, Fumin Wang, Zhili Jiang, Stefano Sfarra, Kaixin Liu, Yuan Yao

Sensors, July, 2023

EGC²: Enhanced graph classification with easy graph compression.

Jinyin Chen, Haiyang Xiong, Haibin Zheng, Dunjie Zhang, Jian Zhang, Mingwei Jia, Yi Liu

Inf. Sci., June, 2023

Generative adversarial network-assisted image classification for imbalanced tire X-ray defect detection.

Shuang Gao, Yun Dai, Yongchao Xu, Jinyin Chen, Yi Liu

Trans. Inst. Meas. Control, May, 2023

Deep Autoencoder Thermography for Defect Detection of Carbon Fiber Composites.

Kaixin Liu, Mingkai Zheng, Yi Liu, Jianguo Yang, Yuan Yao

IEEE Trans. Ind. Informatics, May, 2023

Convolutional Neural Network-Based Machine Vision for Non-Destructive Detection of Flooding in Packed Columns.

Yi Liu, Yuxin Jiang, Zengliang Gao, Kaixin Liu, Yuan Yao

Sensors, March, 2023

Semi-Supervised Process Data Regression and Application Based on Latent Factor Analysis Model.

Junhua Zheng, Yangxuan Liu, Yi Liu, Beiping Hou, Yuan Yao, Le Zhou

IEEE Trans. Instrum. Meas., 2023

A Holistic Feature Selection Method for Enhanced Short-Term Load Forecasting of Power System.

Bozhen Jiang, Yi Liu, Hua Geng, Yidi Wang, Huarong Zeng, Jiangqiao Ding

IEEE Trans. Instrum. Meas., 2023

CTL-DIFF: Control Information Diffusion in Social Network by Structure Optimization.

Jinyin Chen, Xiaodong Xu, Lihong Chen, Zhongyuan Ruan, Zhaoyan Ming, Yi Liu

IEEE Trans. Comput. Soc. Syst., 2023

2022

Convolutional Graph Thermography for Subsurface Defect Detection in Polymer Composites.

Kaixin Liu, Qing Yu, Yi Liu, Jianguo Yang, Yuan Yao

IEEE Trans. Instrum. Meas., 2022

Two-Stage Hybrid Model for Efficiency Prediction of Centrifugal Pump.

Yi Liu, Zhaoshun Xia, Hongying Deng, Shuihua Zheng

Sensors, 2022

The Evaluation of the Urban Road Network Based on the Complex Network.

Dongwei Xu, Yongdong Wang, Peng Peng, Lei Lin, Yi Liu

IEEE Intell. Transp. Syst. Mag., 2022

Multistage hybrid model for performance prediction of centrifugal pump.

Hongying Deng, Zhaoshun Xia, Zenan Sun, Shuihua Zheng, Yi Liu

Adv. Eng. Softw., 2022

2021

Actively Exploring Informative Data for Smart Modeling of Industrial Multiphase Flow Processes.

Hongying Deng, Keyun Yang, Yi Liu, Shengchang Zhang, Yuan Yao

IEEE Trans. Ind. Informatics, 2021

Side-Channel Gray-Box Attack for DNNs.

Yun Xiang, Yongchao Xu, Yingjie Li, Wen Ma, Qi Xuan, Yi Liu

IEEE Trans. Circuits Syst. II Express Briefs, 2021

Anti-Interpolation: An Attack Facilitator Hiding Adversaries Into Images.

Jinyin Chen, Hui Xiong, Haibin Zheng, Zhaoyan Ming, Yi Liu

IEEE Trans. Circuits Syst. II Express Briefs, 2021

Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction.

Jinyin Chen, Haiyang Xiong, Haibin Zheng, Jian Zhang, Guodong Jiang, Yi Liu

CoRR, 2021

EGC2: Enhanced Graph Classification with Easy Graph Compression.

Jinyin Chen, Dunjie Zhang, Zhaoyan Ming, Mingwei Jia, Yi Liu

CoRR, 2021

Supervised Dynamic Latent Variable Models for Fault Identification in Dynamic Processes.

Qiqi Niu, Chengkai Shen, Yuting Lyu, Yi Liu, Le Zhou

Proceedings of the CAA Symposium on Fault Detection, 2021

2020

NES-TL: Network Embedding Similarity-Based Transfer Learning.

Chenbo Fu, Yongli Zheng, Yi Liu, Qi Xuan, Guanrong Chen

IEEE Trans. Netw. Sci. Eng., 2020

Generative Principal Component Thermography for Enhanced Defect Detection and Analysis.

Kaixin Liu, Yingjie Li, Jianguo Yang, Yi Liu, Yuan Yao

IEEE Trans. Instrum. Meas., 2020

Multiview Learning for Subsurface Defect Detection in Composite Products: A Challenge on Thermographic Data Analysis.

Haibin Wu, Kaiyi Zheng, Stefano Sfarra, Yi Liu, Yuan Yao

IEEE Trans. Ind. Informatics, 2020

Spatial-Neighborhood Manifold Learning for Nondestructive Testing of Defects in Polymer Composites.

Yi Liu, Kaixin Liu, Jianguo Yang, Yuan Yao

IEEE Trans. Ind. Informatics, 2020

Link Prediction Adversarial Attack Via Iterative Gradient Attack.

Jinyin Chen, Xiang Lin, Ziqiang Shi, Yi Liu

IEEE Trans. Comput. Soc. Syst., 2020

Open DNN Box by Power Side-Channel Attack.

Yun Xiang, Zhuangzhi Chen, Zuohui Chen, Zebin Fang, Haiyang Hao, Jinyin Chen, Yi Liu, Zhefu Wu, Qi Xuan, Xiaoniu Yang

IEEE Trans. Circuits Syst., 2020

Robust Soft Sensor with Deep Kernel Learning for Quality Prediction in Rubber Mixing Processes.

Shuihua Zheng, Kaixin Liu, Yili Xu, Hao Chen, Xuelei Zhang, Yi Liu

Sensors, 2020

Collective transfer learning for defect prediction.

Jinyin Chen, Keke Hu, Yitao Yang, Yi Liu, Qi Xuan

Neurocomputing, 2020

Software visualization and deep transfer learning for effective software defect prediction.

Jinyin Chen, Keke Hu, Yue Yu, Zhuangzhi Chen, Qi Xuan, Yi Liu, Vladimir Filkov

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

Multiview Generative Adversarial Network and Its Application in Pearl Classification.

Qi Xuan, Zhuangzhi Chen, Yi Liu, Huimin Huang, Guanjun Bao, Dan Zhang

IEEE Trans. Ind. Electron., 2019

Soft Sensing of Silicon Content via Bagging Local Semi-Supervised Models.

Xing He, Jun Ji, Kaixin Liu, Zengliang Gao, Yi Liu

Sensors, 2019

MV-C3D: A Spatial Correlated Multi-View 3D Convolutional Neural Networks.

Qi Xuan, Fuxian Li, Yi Liu, Yun Xiang

IEEE Access, 2019

Special Probabilistic Prediction Model for Temperature Characteristics of Dynamic Fluid Processes.

Hongying Deng, Yang Zhang, Bocheng Chen, Yi Liu, Shengchang Zhang

IEEE Access, 2019

Multiview Transfer Learning for Software Defect Prediction.

Jinyin Chen, Yitao Yang, Keke Hu, Qi Xuan, Yi Liu, Chao Yang

IEEE Access, 2019

Short-Term Traffic Flow Prediction using Attention-Based Long Short-Term Memory Network.

Peng Peng, Dongwei Xu, He Gao, Qi Xuan, Yi Liu, Haifeng Guo, Defeng He

Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Orthogonal Locality Preserving Projections Thermography for Subsurface Defect Detection.

Kaixin Liu, Yuwei Tang, Yuan Yao, Yi Liu, Jianguo Yang

Proceedings of the CAA Symposium on Fault Detection, 2019

2018

Automatic Pearl Classification Machine Based on a Multistream Convolutional Neural Network.

Qi Xuan, Binwei Fang, Yi Liu, Jinbao Wang, Jian Zhang, Yayu Zheng, Guanjun Bao

IEEE Trans. Ind. Electron., 2018

Integrated probabilistic modeling method for transient opening height prediction of check valves in oil-gas multiphase pumps.

Hongying Deng, Yi Liu, Ping Li, Yi Ma, Shengchang Zhang

Adv. Eng. Softw., 2018

Hybrid model for discharge flow rate prediction of reciprocating multiphase pumps.

Hongying Deng, Yi Liu, Ping Li, Shengchang Zhang

Adv. Eng. Softw., 2018

Evolving Convolutional Neural Network and Its Application in Fine-Grained Visual Categorization.

Qi Xuan, Haoquan Xiao, Chenbo Fu, Yi Liu

IEEE Access, 2018

2017

Just-in-Time Correntropy Soft Sensor with Noisy Data for Industrial Silicon Content Prediction.

Kun Chen, Yu Liang, Zengliang Gao, Yi Liu

Sensors, 2017

Whole flow field performance prediction by impeller parameters of centrifugal pumps using support vector regression.

Hongying Deng, Yi Liu, Ping Li, Shengchang Zhang

Adv. Eng. Softw., 2017