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ORCIDJingtao Hu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
2020 – today
- 2025
[j22]Jingtao Hu
, Bin Xiao, Hu Jin, Jingcan Duan, Siwei Wang, Zhao Lv, Siqi Wang, Xinwang Liu, En Zhu:
SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1664-1676 (2025)- 2024
- [j21]Weiming Wu, Jinyuan Zhang, Jingtao Hu, Cong Wang:
Explicit convergence relations for a class of discrete LTV systems and its application to performance analysis of deterministic learning. J. Frankl. Inst. 361(6): 106648 (2024) - [j20]Weiming Wu, Jingtao Hu, Zejian Zhu, Fukai Zhang, Juanjuan Xu, Cong Wang:
Deterministic learning-based neural identification and knowledge fusion. Neural Networks 169: 165-180 (2024) - [j19]Weiming Wu, Jingtao Hu, Fukai Zhang, Cong Wang:
New Results on Rapid Dynamical Pattern Recognition via Deterministic Learning From Sampling Sequences. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12330-12343 (2024) - [c16]Fangdi Wang, Jiaqi Jin, Jingtao Hu, Suyuan Liu, Xihong Yang, Siwei Wang, Xinwang Liu, En Zhu:
Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering. NeurIPS 2024 - 2023
- [j18]Zejian Zhu, Weiming Wu, Tianrui Chen, Jingtao Hu, Cong Wang:
Integrating reinforcement learning with deterministic learning for fault diagnosis of nonlinear systems. Neurocomputing 562: 126847 (2023) - [j17]Jingtao Hu, Weiming Wu, Fukai Zhang, Tianrui Chen, Cong Wang:
Observer-based dynamical pattern recognition via deterministic learning. Neural Networks 159: 161-174 (2023) - [j16]Jingtao Hu, Junyu Gao, Yuan Yuan, Jocelyn Chanussot, Qi Wang:
LGNet: Location-Guided Network for Road Extraction From Satellite Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j15]Zhitong Xiong, Wei Huang, Jingtao Hu, Xiao Xiang Zhu:
THE Benchmark: Transferable Representation Learning for Monocular Height Estimation. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j14]Jingtao Hu, Weiming Wu, Fukai Zhang, Cong Wang:
Observer-Based Learning and Non-High-Gain Recognition of Univariate Time Series. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6633-6644 (2023) - [c15]Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong:
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. AAAI 2023: 7459-7467 - [c14]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c13]Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu:
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. ACM Multimedia 2023: 7502-7511 - [i6]Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu:
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. CoRR abs/2309.06034 (2023) - 2022
- [j13]Fukai Zhang, Weiming Wu, Jingtao Hu, Cong Wang:
Deterministic learning from neural control for a class of sampled-data nonlinear systems. Inf. Sci. 595: 159-178 (2022) - [j12]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [j11]Jingtao Hu, Weiming Wu, Bing Ji, Cong Wang:
Observer Design for Sampled-Data Systems via Deterministic Learning. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2931-2939 (2022) - [c12]Jingtao Hu, Guang Yu, Siqi Wang, En Zhu, Zhiping Cai, Xinzhong Zhu:
Detecting Anomalous Events from Unlabeled Videos via Temporal Masked Auto-Encoding. ICME 2022: 1-6 - [i5]Jianbang Liu, Song Bo, Benjamin Decardi-Nelson, Jinfeng Liu, Jingtao Hu, Tao Zou:
Sensitivity-based dynamic performance assessment for model predictive control with Gaussian noise. CoRR abs/2201.01828 (2022) - [i4]Jingcan Duan, Siwei Wang, Xinwang Liu, Haifang Zhou, Jingtao Hu, Hu Jin:
GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning. CoRR abs/2211.15255 (2022) - [i3]Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong:
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. CoRR abs/2212.00535 (2022) - 2021
- [c11]Jingtao Hu, Qi Wang, Xuelong Li:
Road Extraction from Satellite Image Via Auxiliary Road Location Prediction. IGARSS 2021: 2182-2185 - [i2]Zhitong Xiong, Wei Huang, Jingtao Hu, Yilei Shi, Qi Wang, Xiao Xiang Zhu:
THE Benchmark: Transferable Representation Learning for Monocular Height Estimation. CoRR abs/2112.14985 (2021) - 2020
- [j10]Pei Zhang, Siwei Wang, Jingtao Hu, Zhen Cheng, Xifeng Guo, En Zhu, Zhiping Cai:
Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering. Sensors 20(20): 5755 (2020) - [i1]Jianbang Liu, Aristarchus Gnanasekar, Yi Zhang, Song Bo, Jinfeng Liu, Jingtao Hu, Tao Zou:
Simultaneous state and parameter estimation: the role of sensitivity analysis. CoRR abs/2007.15607 (2020)
2010 – 2019
- 2019
- [j9]Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu:
Efficient Multiple Kernel k-Means Clustering With Late Fusion. IEEE Access 7: 61109-61120 (2019) - [j8]Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin:
K-Means Clustering With Incomplete Data. IEEE Access 7: 69162-69171 (2019) - [j7]Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai:
Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization. IEEE Access 7: 136322-136331 (2019) - [j6]Shuchang Liu, Jiafei Hu, Peisen Li, Chengbiao Wan, Zhuo Chen, Mengchun Pan, Qi Zhang, Zhongyan Liu, Siwei Wang, Dixiang Chen, Jingtao Hu, Xue Pan:
Magnetic Anomaly Detection Based on Full Connected Neural Network. IEEE Access 7: 182198-182206 (2019) - [j5]Jingtao Hu, En Zhu, Siqi Wang, Xinwang Liu, Xifeng Guo, Jianping Yin:
An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos. Sensors 19(19): 4145 (2019) - [c10]Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin:
Multi-view Clustering via Late Fusion Alignment Maximization. IJCAI 2019: 3778-3784 - [c9]Jingtao Hu, En Zhu, Siqi Wang, Siwei Wang, Xinwang Liu, Jianping Yin:
Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression. IJCNN 2019: 1-8 - 2018
- [j4]Hongyu Zheng, Tao Zou, Jingtao Hu, Haibin Yu:
An Offline Optimization and Online Table Look-Up Strategy of Two-Layer Model Predictive Control. IEEE Access 6: 47433-47441 (2018) - [j3]Hongyu Zheng, Tao Zou, Jingtao Hu, Haibin Yu:
A Framework for Adaptive Predictive Control System Based on Zone Control. IEEE Access 6: 49513-49522 (2018) - 2015
- [c8]Liling Sun, Jingtao Hu, Na Lin, Qiaocui Zhang, Hanning Chen:
Self-adaptive Multiple Evolution Algorithms for Image Segmentation Using Multilevel Thresholding. BIC-TA 2015: 400-410 - [c7]Liling Sun, Jingtao Hu, Maowei He, Hanning Chen:
Artificial Bee Colony Algorithm Based on K-Means Clustering for Droplet Property Optimization. ICIRA (1) 2015: 34-44 - 2013
- [j2]Hongyu Zhu, Jingtao Hu, Lei Gao, Hao Huang:
Practical Aspects of Broken Rotor Bars Detection in PWM Voltage-Source-Inverter-Fed Squirrel-Cage Induction Motors. J. Appl. Math. 2013: 128368:1-128368:11 (2013) - 2011
- [c6]Tong Zhou, Jingtao Hu:
Design and realization of EtherCAT master. EMEIT 2011: 173-177
2000 – 2009
- 2009
- [c5]Xuelian Chen, Jingtao Hu, Liancheng Shan, Yaping Wang:
Extraction and Code of Drainage Network Based on Digital Elevation Model. HIS (3) 2009: 468-473 - 2008
- [j1]Qianjin Guo, Haibin Yu, Jingtao Hu, Aidong Xu:
A method for condition monitoring and fault diagnosis in electromechanical system. Neural Comput. Appl. 17(4): 373-384 (2008) - [c4]Qianjin Guo, Xiaoli Li, Haibin Yu, Xiangzhi Che, Wei Hu, Jingtao Hu:
Fault Monitoring and Diagnosis of Induction Machines Based on Harmonic Wavelet Transform and Wavelet Neural Network. ICNC (4) 2008: 140-146 - [c3]Qianjin Guo, Xiaoli Li, Haibin Yu, Wei Hu, Jingtao Hu:
Broken Rotor Bars Fault Detection in Induction Motors Using Park's Vector Modulus and FWNN Approach. ISNN (2) 2008: 809-821 - 2007
- [c2]Wei Hu, Jingtao Hu:
A New BP Network Based on Improved PSO Algorithm and Its Application on Fault Diagnosis of Gas Turbine. ISNN (3) 2007: 277-283 - 2006
- [c1]Haibin Yu, Qianjin Guo, Jingtao Hu, Aidong Xu:
Rolling Bearings Fault Diagnosis Based on Adaptive Gaussian Chirplet Spectrogram and Independent Component Analysis. ICNC (1) 2006: 321-330
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