Jingtao Hu

51 papers A* 5A 1B 1C 1Journal 34Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
Exploring Generalizable Remote Sensing Change Detection via Low-Rank Exchange Adaptation of Vision Foundation Model.
AAAI
Mingwei Zhang, Jingtao Hu, Qiang Li, Qi Wang
2026 J jnl
LogicGraph : Benchmarking Multi-Path Logical Reasoning via Neuro-Symbolic Generation and Verification.
CoRR
Yanrui Wu, Lingling Zhang, Xinyu Zhang, Jiayu Chang, Pengyu Li, Xu Jiang, Jingtao Hu, Jun Liu
2025 J jnl
Comprehensive image restoration for robot-assisted PC-side UI automated testing using neural network.
Neurocomputing
Yunxiang Zhu, Hailei Ding, Yangkun Zhu, Jingtao Hu, Ming-Che Lee, Chaklam Silpasuwanchai, Min Huang, Yibo Zou
2025 J jnl
Deterministic learning based extended kalman filter for nonlinear dynamics modeling.
J. Frankl. Inst.
Weiming Wu, Jiabao Liu, Jinyuan Zhang, Junnan Guo, Jingtao Hu, Fukai Zhang, Cong Wang
2025 J jnl
DualStrip-Net: A Strip-Based Unified Framework for Weakly- and Semi-Supervised Road Segmentation From Satellite Images.
IEEE Trans. Geosci. Remote. Sens.
Jingtao Hu, Qiang Li, Qi Wang
2025 J jnl
Dynamics-enhanced Vision Transformer for Cross-Domain Bearing Fault Diagnosis.
Signal Image Video Process.
Junnan Guo, Weiming Wu, Chen Sun, Jingtao Hu, Qinghua Sun, Tianrui Chen, Cong Wang
2025 J jnl
Higher-order Enhanced Contrastive-based Graph Anomaly Detection Without Graph Augmentation.
Pattern Recognit.
Jingtao Hu, Siwei Wang, Jingcan Duan, Hu Jin, Xinwang Liu, En Zhu
2025 J jnl
SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Jingtao Hu, Bin Xiao, Hu Jin, Jingcan Duan, Siwei Wang, Zhao Lv, Siqi Wang, Xinwang Liu, En Zhu
2024 J jnl
Deterministic learning-based neural identification and knowledge fusion.
Neural Networks
Weiming Wu, Jingtao Hu, Zejian Zhu, Fukai Zhang, Juanjuan Xu, Cong Wang
2024 A* conf
Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering.
NeurIPS
Fangdi Wang, Jiaqi Jin, Jingtao Hu, Suyuan Liu, Xihong Yang, Siwei Wang, Xinwang Liu, En Zhu
2024 J jnl
Explicit convergence relations for a class of discrete LTV systems and its application to performance analysis of deterministic learning.
J. Frankl. Inst.
Weiming Wu, Jinyuan Zhang, Jingtao Hu, Cong Wang
2024 J jnl
New Results on Rapid Dynamical Pattern Recognition via Deterministic Learning From Sampling Sequences.
IEEE Trans. Neural Networks Learn. Syst.
Weiming Wu, Jingtao Hu, Fukai Zhang, Cong Wang
2023 — conf
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.
Bildverarbeitung für die Medizin
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
2023 A* conf
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View.
AAAI
Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong
2023 J jnl
Integrating reinforcement learning with deterministic learning for fault diagnosis of nonlinear systems.
Neurocomputing
Zejian Zhu, Weiming Wu, Tianrui Chen, Jingtao Hu, Cong Wang
2023 J jnl
LGNet: Location-Guided Network for Road Extraction From Satellite Images.
IEEE Trans. Geosci. Remote. Sens.
Jingtao Hu, Junyu Gao, Yuan Yuan, Jocelyn Chanussot, Qi Wang
2023 A* conf
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning.
ACM Multimedia
Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu
2023 J jnl
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning.
CoRR
Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu
2023 J jnl
Observer-Based Learning and Non-High-Gain Recognition of Univariate Time Series.
IEEE Trans. Syst. Man Cybern. Syst.
Jingtao Hu, Weiming Wu, Fukai Zhang, Cong Wang
2023 J jnl
Observer-based dynamical pattern recognition via deterministic learning.
Neural Networks
Jingtao Hu, Weiming Wu, Fukai Zhang, Tianrui Chen, Cong Wang
2023 J jnl
THE Benchmark: Transferable Representation Learning for Monocular Height Estimation.
IEEE Trans. Geosci. Remote. Sens.
Zhitong Xiong, Wei Huang, Jingtao Hu, Xiao Xiang Zhu
2022 A conf
Detecting Anomalous Events from Unlabeled Videos via Temporal Masked Auto-Encoding.
ICME
Jingtao Hu, Guang Yu, Siqi Wang, En Zhu, Zhiping Cai, Xinzhong Zhu
2022 J jnl
Deterministic learning from neural control for a class of sampled-data nonlinear systems.
Inf. Sci.
Fukai Zhang, Weiming Wu, Jingtao Hu, Cong Wang
2022 J jnl
GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning.
CoRR
Jingcan Duan, Siwei Wang, Xinwang Liu, Haifang Zhou, Jingtao Hu, Hu Jin
2022 J jnl
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View.
CoRR
Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong
2022 J jnl
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.
IEEE Trans. Medical Imaging
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
2022 J jnl
Observer Design for Sampled-Data Systems via Deterministic Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jingtao Hu, Weiming Wu, Bing Ji, Cong Wang
2022 J jnl
Sensitivity-based dynamic performance assessment for model predictive control with Gaussian noise.
CoRR
Jianbang Liu, Song Bo, Benjamin Decardi-Nelson, Jinfeng Liu, Jingtao Hu, Tao Zou
2021 C conf
Road Extraction from Satellite Image Via Auxiliary Road Location Prediction.
IGARSS
Jingtao Hu, Qi Wang, Xuelong Li
2021 J jnl
THE Benchmark: Transferable Representation Learning for Monocular Height Estimation.
CoRR
Zhitong Xiong, Wei Huang, Jingtao Hu, Yilei Shi, Qi Wang, Xiao Xiang Zhu
2020 J jnl
Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering.
Sensors
Pei Zhang, Siwei Wang, Jingtao Hu, Zhen Cheng, Xifeng Guo, En Zhu, Zhiping Cai
2020 J jnl
Simultaneous state and parameter estimation: the role of sensitivity analysis.
CoRR
Jianbang Liu, Aristarchus Gnanasekar, Yi Zhang, Song Bo, Jinfeng Liu, Jingtao Hu, Tao Zou
2019 J jnl
An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos.
Sensors
Jingtao Hu, En Zhu, Siqi Wang, Xinwang Liu, Xifeng Guo, Jianping Yin
2019 J jnl
Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization.
IEEE Access
Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai
2019 J jnl
Efficient Multiple Kernel k-Means Clustering With Late Fusion.
IEEE Access
Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu
2019 J jnl
K-Means Clustering With Incomplete Data.
IEEE Access
Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin
2019 J jnl
Magnetic Anomaly Detection Based on Full Connected Neural Network.
IEEE Access
Shuchang Liu, Jiafei Hu, Peisen Li, Chengbiao Wan, Zhuo Chen, Mengchun Pan, Qi Zhang, Zhongyan Liu, Siwei Wang, Dixiang Chen, Jingtao Hu, Xue Pan
2019 A* conf
Multi-view Clustering via Late Fusion Alignment Maximization.
IJCAI
Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin
2019 B conf
Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression.
IJCNN
Jingtao Hu, En Zhu, Siqi Wang, Siwei Wang, Xinwang Liu, Jianping Yin
2018 J jnl
A Framework for Adaptive Predictive Control System Based on Zone Control.
IEEE Access
Hongyu Zheng, Tao Zou, Jingtao Hu, Haibin Yu
2018 J jnl
An Offline Optimization and Online Table Look-Up Strategy of Two-Layer Model Predictive Control.
IEEE Access
Hongyu Zheng, Tao Zou, Jingtao Hu, Haibin Yu
2015 — conf
Artificial Bee Colony Algorithm Based on K-Means Clustering for Droplet Property Optimization.
ICIRA (1)
Liling Sun, Jingtao Hu, Maowei He, Hanning Chen
2015 — conf
Self-adaptive Multiple Evolution Algorithms for Image Segmentation Using Multilevel Thresholding.
BIC-TA
Liling Sun, Jingtao Hu, Na Lin, Qiaocui Zhang, Hanning Chen
2013 J jnl
Practical Aspects of Broken Rotor Bars Detection in PWM Voltage-Source-Inverter-Fed Squirrel-Cage Induction Motors.
J. Appl. Math.
Hongyu Zhu, Jingtao Hu, Lei Gao, Hao Huang
2011 — conf
Design and realization of EtherCAT master.
EMEIT
Tong Zhou, Jingtao Hu
2009 — conf
Extraction and Code of Drainage Network Based on Digital Elevation Model.
HIS (3)
Xuelian Chen, Jingtao Hu, Liancheng Shan, Yaping Wang
2008 J jnl
A method for condition monitoring and fault diagnosis in electromechanical system.
Neural Comput. Appl.
Qianjin Guo, Haibin Yu, Jingtao Hu, Aidong Xu
2008 — conf
Broken Rotor Bars Fault Detection in Induction Motors Using Park's Vector Modulus and FWNN Approach.
ISNN (2)
Qianjin Guo, Xiaoli Li, Haibin Yu, Wei Hu, Jingtao Hu
2008 — conf
Fault Monitoring and Diagnosis of Induction Machines Based on Harmonic Wavelet Transform and Wavelet Neural Network.
ICNC (4)
Qianjin Guo, Xiaoli Li, Haibin Yu, Xiangzhi Che, Wei Hu, Jingtao Hu
2007 — conf
A New BP Network Based on Improved PSO Algorithm and Its Application on Fault Diagnosis of Gas Turbine.
ISNN (3)
Wei Hu, Jingtao Hu
2006 — conf
Rolling Bearings Fault Diagnosis Based on Adaptive Gaussian Chirplet Spectrogram and Independent Component Analysis.
ICNC (1)
Haibin Yu, Qianjin Guo, Jingtao Hu, Aidong Xu