Rolling Bearings Fault Diagnosis Based on Adaptive Gaussian Chirplet Spectrogram and Independent Component Analysis. - Haibin Yu; Qianjin Guo; Jingtao Hu; Aidong Xu (ICNC (1), 2006)

A New BP Network Based on Improved PSO Algorithm and Its Application on Fault Diagnosis of Gas Turbine. - Wei Hu; Jingtao Hu (ISNN (3), 2007)

Fault Monitoring and Diagnosis of Induction Machines Based on Harmonic Wavelet Transform and Wavelet Neural Network. - Qianjin Guo; Xiaoli Li 011; Haibin Yu; Xiangzhi Che; Wei Hu; Jingtao Hu (ICNC (4), 2008)

Broken Rotor Bars Fault Detection in Induction Motors Using Park's Vector Modulus and FWNN Approach. - Qianjin Guo; Xiaoli Li 011; Haibin Yu; Wei Hu; Jingtao Hu (ISNN (2), 2008)

A method for condition monitoring and fault diagnosis in electromechanical system. - Qianjin Guo; Haibin Yu; Jingtao Hu; Aidong Xu (Neural Comput. Appl., 2008)

Extraction and Code of Drainage Network Based on Digital Elevation Model. - Xuelian Chen; Jingtao Hu; Liancheng Shan; Yaping Wang (HIS (3), 2009)

Design and realization of EtherCAT master. - Tong Zhou; Jingtao Hu (EMEIT, 2011)

Practical Aspects of Broken Rotor Bars Detection in PWM Voltage-Source-Inverter-Fed Squirrel-Cage Induction Motors. - Hongyu Zhu; Jingtao Hu; Lei Gao 004; Hao Huang (J. Appl. Math., 2013)

Self-adaptive Multiple Evolution Algorithms for Image Segmentation Using Multilevel Thresholding. - Liling Sun; Jingtao Hu; Na Lin; Qiaocui Zhang; Hanning Chen (BIC-TA, 2015)

Artificial Bee Colony Algorithm Based on K-Means Clustering for Droplet Property Optimization. - Liling Sun; Jingtao Hu; Maowei He; Hanning Chen (ICIRA (1), 2015)

An Offline Optimization and Online Table Look-Up Strategy of Two-Layer Model Predictive Control. - Hongyu Zheng 003; Tao Zou; Jingtao Hu; Haibin Yu (IEEE Access, 2018)

A Framework for Adaptive Predictive Control System Based on Zone Control. - Hongyu Zheng 003; Tao Zou; Jingtao Hu; Haibin Yu (IEEE Access, 2018)

Multi-view Clustering via Late Fusion Alignment Maximization. - Siwei Wang 001; Xinwang Liu 002; En Zhu; Chang Tang; Jiyuan Liu 003; Jingtao Hu; Jingyuan Xia; Jianping Yin (IJCAI, 2019)

Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression. - Jingtao Hu; En Zhu; Siqi Wang 001; Siwei Wang 001; Xinwang Liu 002; Jianping Yin (IJCNN, 2019)

Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization. - Jingtao Hu; Miaomiao Li 001; En Zhu; Siwei Wang 001; Xinwang Liu 002; Yongping Zhai (IEEE Access, 2019)

Magnetic Anomaly Detection Based on Full Connected Neural Network. - Shuchang Liu 002; Jiafei Hu; Peisen Li; Chengbiao Wan; Zhuo Chen 005; Mengchun Pan; Qi Zhang 068; Zhongyan Liu; Siwei Wang 001; Dixiang Chen; Jingtao Hu; Xue Pan (IEEE Access, 2019)

K-Means Clustering With Incomplete Data. - Siwei Wang 001; Miaomiao Li 001; Ning Hu; En Zhu; Jingtao Hu; Xinwang Liu 002; Jianping Yin (IEEE Access, 2019)

Efficient Multiple Kernel k-Means Clustering With Late Fusion. - Siwei Wang 001; En Zhu; Jingtao Hu; Miaomiao Li 001; Kaikai Zhao; Ning Hu; Xinwang Liu 002 (IEEE Access, 2019)

An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos. - Jingtao Hu; En Zhu; Siqi Wang 001; Xinwang Liu 002; Xifeng Guo 001; Jianping Yin (Sensors, 2019)

Simultaneous state and parameter estimation: the role of sensitivity analysis. - Jianbang Liu; Aristarchus Gnanasekar; Yi Zhang; Song Bo; Jinfeng Liu 001; Jingtao Hu; Tao Zou (CoRR, 2020)

Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering. - Pei Zhang 008; Siwei Wang 001; Jingtao Hu; Zhen Cheng 004; Xifeng Guo 001; En Zhu; Zhiping Cai (Sensors, 2020)

Road Extraction from Satellite Image Via Auxiliary Road Location Prediction. - Jingtao Hu; Qi Wang 009; Xuelong Li 001 (IGARSS, 2021)

THE Benchmark: Transferable Representation Learning for Monocular Height Estimation. - Zhitong Xiong; Wei Huang; Jingtao Hu; Yilei Shi; Qi Wang 009; Xiao Xiang Zhu 001 (CoRR, 2021)

Detecting Anomalous Events from Unlabeled Videos via Temporal Masked Auto-Encoding. - Jingtao Hu; Guang Yu; Siqi Wang 001; En Zhu; Zhiping Cai; Xinzhong Zhu (ICME, 2022)

Sensitivity-based dynamic performance assessment for model predictive control with Gaussian noise. - Jianbang Liu; Song Bo; Benjamin Decardi-Nelson; Jinfeng Liu 001; Jingtao Hu; Tao Zou (CoRR, 2022)

GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning. - Jingcan Duan; Siwei Wang 001; Xinwang Liu 002; Haifang Zhou; Jingtao Hu; Hu Jin (CoRR, 2022)

Deterministic learning from neural control for a class of sampled-data nonlinear systems. - Fukai Zhang; Weiming Wu; Jingtao Hu; Cong Wang 007 (Inf. Sci., 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

Observer Design for Sampled-Data Systems via Deterministic Learning. - Jingtao Hu; Weiming Wu; Bing Ji; Cong Wang 007 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. - Jingcan Duan; Siwei Wang 001; Pei Zhang 008; En Zhu; Jingtao Hu; Hu Jin; Yue Liu 008; Zhibin Dong (AAAI, 2023)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)

Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. - Jingcan Duan; Pei Zhang 008; Siwei Wang 001; Jingtao Hu; Hu Jin; Jiaxin Zhang 030; Haifang Zhou; Xinwang Liu 002 (ACM Multimedia, 2023)

LGNet: Location-Guided Network for Road Extraction From Satellite Images. - Jingtao Hu; Junyu Gao 001; Yuan Yuan 001; Jocelyn Chanussot; Qi Wang 009 (IEEE Trans. Geosci. Remote. Sens., 2023)

THE Benchmark: Transferable Representation Learning for Monocular Height Estimation. - Zhitong Xiong; Wei Huang; Jingtao Hu; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Observer-based dynamical pattern recognition via deterministic learning. - Jingtao Hu; Weiming Wu; Fukai Zhang; Tianrui Chen; Cong Wang 007 (Neural Networks, 2023)

Observer-Based Learning and Non-High-Gain Recognition of Univariate Time Series. - Jingtao Hu; Weiming Wu; Fukai Zhang; Cong Wang 007 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Integrating reinforcement learning with deterministic learning for fault diagnosis of nonlinear systems. - Zejian Zhu; Weiming Wu; Tianrui Chen; Jingtao Hu; Cong Wang 007 (Neurocomputing, 2023)

Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering. - Fangdi Wang; Jiaqi Jin; Jingtao Hu; Suyuan Liu; Xihong Yang; Siwei Wang 001; Xinwang Liu 002; En Zhu (NeurIPS, 2024)

Explicit convergence relations for a class of discrete LTV systems and its application to performance analysis of deterministic learning. - Weiming Wu; Jinyuan Zhang; Jingtao Hu; Cong Wang 007 (J. Frankl. Inst., 2024)

Deterministic learning-based neural identification and knowledge fusion. - Weiming Wu; Jingtao Hu; Zejian Zhu; Fukai Zhang; Juanjuan Xu; Cong Wang 007 (Neural Networks, 2024)

New Results on Rapid Dynamical Pattern Recognition via Deterministic Learning From Sampling Sequences. - Weiming Wu; Jingtao Hu; Fukai Zhang; Cong Wang 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Comprehensive image restoration for robot-assisted PC-side UI automated testing using neural network. - Yunxiang Zhu; Hailei Ding; Yangkun Zhu; Jingtao Hu; Ming-Che Lee; Chaklam Silpasuwanchai; Min Huang; Yibo Zou (Neurocomputing, 2025)

Higher-order Enhanced Contrastive-based Graph Anomaly Detection Without Graph Augmentation. - Jingtao Hu; Siwei Wang 001; Jingcan Duan; Hu Jin; Xinwang Liu 002; En Zhu (Pattern Recognit., 2025)

DualStrip-Net: A Strip-Based Unified Framework for Weakly- and Semi-Supervised Road Segmentation From Satellite Images. - Jingtao Hu; Qiang Li 042; Qi Wang 009 (IEEE Trans. Geosci. Remote. Sens., 2025)

SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection. - Jingtao Hu; Bin Xiao 002; Hu Jin; Jingcan Duan; Siwei Wang 001; Zhao Lv; Siqi Wang 001; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)