Te Han

50 papers C 3Journal 45Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Change probability-aware graph for multimodal change detection.
Geo spatial Inf. Sci.
Te Han, Yuqi Tang, Yuzeng Chen, Yuqiang Guo, Bin Zou, Huihui Feng
2025 J jnl
Bayesian Adversarial Adaptation Network With Feature Disentanglement for Remaining Useful Life Prediction.
IEEE Trans. Reliab.
Yongbo Cheng, Junheng Qv, Liangqi Wan, Te Han
2025 J jnl
Confidence-aware quantile Transformer for reliable degradation prediction of battery energy storage systems.
Reliab. Eng. Syst. Saf.
Rui Wu, Jinpeng Tian, Jiachi Yao, Te Han, Chunsheng Hu
2025 J jnl
Denoising autoencoder multilayer perceptron spiking neural network for isonicotinic acid yield prediction on real industrial dataset.
Adv. Eng. Informatics
Pinze Ren, Yitian Wang, Zisheng Wang, Dandan Peng, Chenyu Liu, Te Han
2025 J jnl
Dynamic Subdomain Pseudolabel Correction and Adaptation Framework for Multiscenario Mechanical Fault Diagnosis.
IEEE Trans. Reliab.
Chenxi Li, Huan Wang, Te Han
2025 J jnl
Generalizable Fault Diagnosis Under Distribution Shifts Induced by Unseen Working Conditions via Synthetic and Adversarial Sample Learning.
IEEE Trans. Reliab.
Xiaochen Zhang, Sen Yan, Chen Wang, Te Han
2025 J jnl
Health-Aware Joint Learning of Scale Distribution and Compact Representation for Unsupervised Anomaly Detection in Photovoltaic Systems.
IEEE Trans. Instrum. Meas.
Te Han, Xiao Wang, Jialin Guo, Zhonghao Chang, Yuejian Chen
2025 J jnl
SSTtrack: A unified hyperspectral video tracking framework via modeling spectral-spatial-temporal conditions.
Inf. Fusion
Yuzeng Chen, Qiangqiang Yuan, Yuqi Tang, Yi Xiao, Jiang He, Te Han, Zhenqi Liu, Liangpei Zhang
2025 J jnl
STAR: A Unified Spatiotemporal Fusion Framework for Satellite Video Object Tracking.
IEEE Trans. Geosci. Remote. Sens.
Yuzeng Chen, Qiangqiang Yuan, Yi Xiao, Yuqi Tang, Jiang He, Te Han
2025 J jnl
Structural Consistency Based Multiobject Detection for Satellite Video and Benchmark With Real Scene Simulation Dataset.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yuwei Zhang, Yuqi Tang, Fengqing Liu, Yuzeng Chen, Te Han
2025 J jnl
Uncertainty-guided Bayesian active learning for cost-effective fault diagnosis with minimal labeled data.
Eng. Appl. Artif. Intell.
Yuejian Chen, Liang Zhao, Te Han
2025 J jnl
Unsupervised Anomaly Detection for Aircraft PRSOV With Random Projection-Based Inner Product Prediction.
IEEE Trans. Instrum. Meas.
Dandan Peng, Ning Zhu, Te Han, Zhuyun Chen, Chenyu Liu
2024 J jnl
A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction.
Reliab. Eng. Syst. Saf.
Yongbo Cheng, Junheng Qv, Ke Feng, Te Han
2024 J jnl
An Adversarial Training Framework Based on Unsupervised Feature Reconstruction Constraints for Crystalline Silicon Solar Cells Anomaly Detection.
IEEE Trans. Instrum. Meas.
Ning Zhu, Jing Wang, Ying Zhang, Huan Wang, Te Han
2024 J jnl
Bearing fault diagnosis using Gradual Conditional Domain Adversarial Network.
Appl. Soft Comput.
Chuge Wu, Duo Zhao, Te Han, Yuanqing Xia
2024 J jnl
Enhanced Graph Structure Representation for Unsupervised Heterogeneous Change Detection.
Remote. Sens.
Yuqi Tang, Xin Yang, Te Han, Fangyan Zhang, Bin Zou, Huihui Feng
2024 J jnl
FFT-Trans: Enhancing Robustness in Mechanical Fault Diagnosis With Fourier Transform-Based Transformer Under Noisy Conditions.
IEEE Trans. Instrum. Meas.
Xiaoyu Luo, Huan Wang, Te Han, Ying Zhang
2024 J jnl
Global structure graph mapping for multimodal change detection.
Int. J. Digit. Earth
Te Han, Yuqi Tang, Yuzeng Chen, Bin Zou, Huihui Feng
2024 J jnl
Iterative Optimization-Enhanced Contrastive Learning for Multimodal Change Detection.
Remote. Sens.
Yuqi Tang, Xin Yang, Te Han, Kai Sun, Yuqiang Guo, Jun Hu
2024 J jnl
Photovoltaic Cell Anomaly Detection Enabled by Scale Distribution Alignment Learning and Multiscale Linear Attention Framework.
IEEE Internet Things J.
Zhonghao Chang, An-Jun Zhang, Huan Wang, Jiajia Xu, Te Han
2024 J jnl
SDC-GAE: Structural Difference Compensation Graph Autoencoder for Unsupervised Multimodal Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Te Han, Yuqi Tang, Yuzeng Chen, Xin Yang, Yuqiang Guo, Shujing Jiang
2024 J jnl
Trustworthy Diagnostics With Out-of-Distribution Detection: A Novel Max-Consistency and Min-Similarity Guided Deep Ensembles for Uncertainty Estimation.
IEEE Internet Things J.
Xiaochen Zhang, Chen Wang, Wei Zhou, Jiajia Xu, Te Han
2024 J jnl
Unsupervised multimodal change detection based on adaptive optimization of structured graph.
Int. J. Appl. Earth Obs. Geoinformation
Te Han, Yuqi Tang, Bin Zou, Huihui Feng
2023 J jnl
A unified out-of-distribution detection framework for trustworthy prognostics and health management in renewable energy systems.
Eng. Appl. Artif. Intell.
Wenzhen Xie, Te Han, Zhongyi Pei, Min Xie
2023 J jnl
An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications.
Reliab. Eng. Syst. Saf.
Taotao Zhou, Laibin Zhang, Te Han, Enrique López Droguett, Ali Mosleh, Felix T. S. Chan
2023 J jnl
Attention-aware temporal-spatial graph neural network with multi-sensor information fusion for fault diagnosis.
Knowl. Based Syst.
Zhe Wang, Zhiying Wu, Xingqiu Li, Haidong Shao, Te Han, Min Xie
2023 J jnl
Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis.
Reliab. Eng. Syst. Saf.
Huixing Meng, Mengyao Geng, Te Han
2023 J jnl
Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine.
Inf. Sci.
Te Han, Wenzhen Xie, Zhongyi Pei
2023 — conf
Spatial Feature Regularization and Label Decoupling Based Cross-Subject Motor Imagery EEG Decoding.
PRCV (13)
Yifan Zhou, Tian-jian Luo, Xiaochen Zhang, Te Han
2023 J jnl
The Performance Analysis of SPMA Protocol in High Speed Mobile Ad Hoc Network.
IEEE Access
Zhe Li, Jing Zhao, Te Han
2023 J jnl
Time-Efficient Neural Architecture Search for Autonomous Underwater Vehicle Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Shicheng Pei, Huan Wang, Te Han
2022 — conf
A fault diagnosis method in industrial processes with integrated feature space and optimized random forest.
ISIE
Zhenyu Deng, Te Han, Ruonan Liu, Fengyao Zhi
2022 C conf
Heterogeneous Image Change Detection Based on Two-Stage Joint Feature Learning.
IGARSS
Te Han, Yuqi Tang, Yuzeng Chen
2022 J jnl
Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles.
Reliab. Eng. Syst. Saf.
Te Han, Yan-Fu Li
2022 J jnl
Positive-Unlabeled Learning-Based Hybrid Deep Network for Intelligent Fault Detection.
IEEE Trans. Ind. Informatics
Min Qian, Yan-Fu Li, Te Han
2022 J jnl
RAMC: A Rotation Adaptive Tracker with Motion Constraint for Satellite Video Single-Object Tracking.
Remote. Sens.
Yuzeng Chen, Yuqi Tang, Te Han, Yuwei Zhang, Bin Zou, Huihui Feng
2022 J jnl
Single Object Tracking in Satellite Videos: A Correlation Filter-Based Dual-Flow Tracker.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yuzeng Chen, Yuqi Tang, Zhiyong Yin, Te Han, Bin Zou, Huihui Feng
2022 J jnl
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework.
Reliab. Eng. Syst. Saf.
Taotao Zhou, Te Han, Enrique López Droguett
2021 J jnl
A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions.
IEEE Trans. Instrum. Meas.
Te Han, Yan-Fu Li, Min Qian
2021 J jnl
Change Detection for Heterogeneous Remote Sensing Images with Improved Training of Hierarchical Extreme Learning Machine (HELM).
Remote. Sens.
Te Han, Yuqi Tang, Xin Yang, Zefeng Lin, Bin Zou, Huihui Feng
2021 J jnl
Deep transfer learning with limited data for machinery fault diagnosis.
Appl. Soft Comput.
Te Han, Chao Liu, Rui Wu, Dongxiang Jiang
2021 J jnl
Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression.
Reliab. Eng. Syst. Saf.
Xin Li, Xiang Zhong, Haidong Shao, Te Han, Changqing Shen
2019 J jnl
A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults.
Knowl. Based Syst.
Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang
2018 J jnl
Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery.
Trans. Inst. Meas. Control
Te Han, Dongxiang Jiang, Qi Zhao, Lei Wang, Kai Yin
2018 J jnl
Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application.
CoRR
Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang
2017 J jnl
Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition.
Sensors
Te Han, Dongxiang Jiang, Xiaochen Zhang, Yankui Sun
2017 J jnl
Rotating Machinery Fault Diagnosis for Imbalanced Data Based on Fast Clustering Algorithm and Support Vector Machine.
J. Sensors
Xiaochen Zhang, Dongxiang Jiang, Te Han, Nanfei Wang, Wenguang Yang, Yizhou Yang
2013 C conf
A 2.7-GHz digitally-controlled ring oscillator with supply sensitivity of 0.0014%-fDCO/1%-VDD using digital current-regulated tuning.
ISCAS
Te Han, Weixin Gai
2013 C conf
A novel frequency search algorithm to achieve fast locking without phase tracking in ADPLL.
ISCAS
Bohan Wu, Weixin Gai, Te Han
1979 J jnl
Source coding with cross observations at the encoders (Corresp.).
IEEE Trans. Inf. Theory
Te Han