Source coding with cross observations at the encoders (Corresp.). - Te Han (IEEE Trans. Inf. Theory, 1979)

A 2.7-GHz digitally-controlled ring oscillator with supply sensitivity of 0.0014%-fDCO/1%-VDD using digital current-regulated tuning. - Te Han; Weixin Gai (ISCAS, 2013)

A novel frequency search algorithm to achieve fast locking without phase tracking in ADPLL. - Bohan Wu; Weixin Gai; Te Han (ISCAS, 2013)

Rotating Machinery Fault Diagnosis for Imbalanced Data Based on Fast Clustering Algorithm and Support Vector Machine. - Xiaochen Zhang 002; Dongxiang Jiang; Te Han; Nanfei Wang; Wenguang Yang; Yizhou Yang (J. Sensors, 2017)

Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition. - Te Han; Dongxiang Jiang; Xiaochen Zhang 002; Yankui Sun (Sensors, 2017)

Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application. - Te Han; Chao Liu 028; Wenguang Yang; Dongxiang Jiang (CoRR, 2018)

Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery. - Te Han; Dongxiang Jiang; Qi Zhao; Lei Wang; Kai Yin (Trans. Inst. Meas. Control, 2018)

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults. - Te Han; Chao Liu 028; Wenguang Yang; Dongxiang Jiang (Knowl. Based Syst., 2019)

Deep transfer learning with limited data for machinery fault diagnosis. - Te Han; Chao Liu 028; Rui Wu 005; Dongxiang Jiang (Appl. Soft Comput., 2021)

Change Detection for Heterogeneous Remote Sensing Images with Improved Training of Hierarchical Extreme Learning Machine (HELM). - Te Han; Yuqi Tang; Xin Yang; Zefeng Lin; Bin Zou 001; Huihui Feng (Remote. Sens., 2021)

Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression. - Xin Li 095; Xiang Zhong; Haidong Shao; Te Han; Changqing Shen (Reliab. Eng. Syst. Saf., 2021)

A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions. - Te Han; Yan-Fu Li; Min Qian (IEEE Trans. Instrum. Meas., 2021)

Heterogeneous Image Change Detection Based on Two-Stage Joint Feature Learning. - Te Han; Yuqi Tang; Yuzeng Chen (IGARSS, 2022)

A fault diagnosis method in industrial processes with integrated feature space and optimized random forest. - Zhenyu Deng; Te Han; Ruonan Liu; Fengyao Zhi (ISIE, 2022)

RAMC: A Rotation Adaptive Tracker with Motion Constraint for Satellite Video Single-Object Tracking. - Yuzeng Chen; Yuqi Tang; Te Han; Yuwei Zhang 011; Bin Zou 001; Huihui Feng (Remote. Sens., 2022)

Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles. - Te Han; Yan-Fu Li (Reliab. Eng. Syst. Saf., 2022)

Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework. - Taotao Zhou; Te Han; Enrique López Droguett (Reliab. Eng. Syst. Saf., 2022)

Single Object Tracking in Satellite Videos: A Correlation Filter-Based Dual-Flow Tracker. - Yuzeng Chen; Yuqi Tang; Zhiyong Yin; Te Han; Bin Zou 003; Huihui Feng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Positive-Unlabeled Learning-Based Hybrid Deep Network for Intelligent Fault Detection. - Min Qian; Yan-Fu Li; Te Han (IEEE Trans. Ind. Informatics, 2022)

Spatial Feature Regularization and Label Decoupling Based Cross-Subject Motor Imagery EEG Decoding. - Yifan Zhou; Tian-Jian Luo; Xiaochen Zhang; Te Han (PRCV (13), 2023)

The Performance Analysis of SPMA Protocol in High Speed Mobile Ad Hoc Network. - Zhe Li; Jing Zhao; Te Han (IEEE Access, 2023)

A unified out-of-distribution detection framework for trustworthy prognostics and health management in renewable energy systems. - Wenzhen Xie; Te Han; Zhongyi Pei; Min Xie (Eng. Appl. Artif. Intell., 2023)

An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications. - Taotao Zhou; Laibin Zhang; Te Han; Enrique López Droguett; Ali Mosleh 001; Felix T. S. Chan (Reliab. Eng. Syst. Saf., 2023)

Time-Efficient Neural Architecture Search for Autonomous Underwater Vehicle Fault Diagnosis. - Shicheng Pei; Huan Wang 015; Te Han (IEEE Trans. Instrum. Meas., 2023)

Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis. - Huixing Meng; Mengyao Geng; Te Han (Reliab. Eng. Syst. Saf., 2023)

Attention-aware temporal-spatial graph neural network with multi-sensor information fusion for fault diagnosis. - Zhe Wang 035; Zhiying Wu; Xingqiu Li; Haidong Shao; Te Han; Min Xie 001 (Knowl. Based Syst., 2023)

Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine. - Te Han; Wenzhen Xie; Zhongyi Pei (Inf. Sci., 2023)

Bearing fault diagnosis using Gradual Conditional Domain Adversarial Network. - Chuge Wu; Duo Zhao; Te Han; Yuanqing Xia (Appl. Soft Comput., 2024)

Photovoltaic Cell Anomaly Detection Enabled by Scale Distribution Alignment Learning and Multiscale Linear Attention Framework. - Zhonghao Chang; An-Jun Zhang; Huan Wang 015; Jiajia Xu; Te Han (IEEE Internet Things J., 2024)

A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction. - Yongbo Cheng; Junheng Qv; Ke Feng; Te Han (Reliab. Eng. Syst. Saf., 2024)

SDC-GAE: Structural Difference Compensation Graph Autoencoder for Unsupervised Multimodal Change Detection. - Te Han; Yuqi Tang; Yuzeng Chen; Xin Yang; Yuqiang Guo; Shujing Jiang (IEEE Trans. Geosci. Remote. Sens., 2024)

FFT-Trans: Enhancing Robustness in Mechanical Fault Diagnosis With Fourier Transform-Based Transformer Under Noisy Conditions. - Xiaoyu Luo; Huan Wang 015; Te Han; Ying Zhang 069 (IEEE Trans. Instrum. Meas., 2024)

An Adversarial Training Framework Based on Unsupervised Feature Reconstruction Constraints for Crystalline Silicon Solar Cells Anomaly Detection. - Ning Zhu; Jing Wang 214; Ying Zhang 069; Huan Wang 015; Te Han (IEEE Trans. Instrum. Meas., 2024)

Unsupervised multimodal change detection based on adaptive optimization of structured graph. - Te Han; Yuqi Tang; Bin Zou; Huihui Feng (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Enhanced Graph Structure Representation for Unsupervised Heterogeneous Change Detection. - Yuqi Tang; Xin Yang; Te Han; Fangyan Zhang; Bin Zou; Huihui Feng (Remote. Sens., 2024)

Trustworthy Diagnostics With Out-of-Distribution Detection: A Novel Max-Consistency and Min-Similarity Guided Deep Ensembles for Uncertainty Estimation. - Xiaochen Zhang 002; Chen Wang; Wei Zhou; Jiajia Xu; Te Han (IEEE Internet Things J., 2024)

Iterative Optimization-Enhanced Contrastive Learning for Multimodal Change Detection. - Yuqi Tang; Xin Yang; Te Han; Kai Sun; Yuqiang Guo; Jun Hu 005 (Remote. Sens., 2024)

Global structure graph mapping for multimodal change detection. - Te Han; Yuqi Tang; Yuzeng Chen; Bin Zou 001; Huihui Feng (Int. J. Digit. Earth, 2024)

Denoising autoencoder multilayer perceptron spiking neural network for isonicotinic acid yield prediction on real industrial dataset. - Pinze Ren; Yitian Wang; Zisheng Wang; Dandan Peng; Chenyu Liu; Te Han (Adv. Eng. Informatics, 2025)

Uncertainty-guided Bayesian active learning for cost-effective fault diagnosis with minimal labeled data. - Yuejian Chen; Liang Zhao; Te Han (Eng. Appl. Artif. Intell., 2025)

SSTtrack: A unified hyperspectral video tracking framework via modeling spectral-spatial-temporal conditions. - Yuzeng Chen; Qiangqiang Yuan; Yuqi Tang; Yi Xiao 003; Jiang He; Te Han; Zhenqi Liu; Liangpei Zhang 001 (Inf. Fusion, 2025)

Confidence-aware quantile Transformer for reliable degradation prediction of battery energy storage systems. - Rui Wu 005; Jinpeng Tian; Jiachi Yao; Te Han; Chunsheng Hu (Reliab. Eng. Syst. Saf., 2025)

STAR: A Unified Spatiotemporal Fusion Framework for Satellite Video Object Tracking. - Yuzeng Chen; Qiangqiang Yuan; Yi Xiao 003; Yuqi Tang; Jiang He; Te Han (IEEE Trans. Geosci. Remote. Sens., 2025)

Health-Aware Joint Learning of Scale Distribution and Compact Representation for Unsupervised Anomaly Detection in Photovoltaic Systems. - Te Han; Xiao Wang; Jialin Guo; Zhonghao Chang; Yuejian Chen (IEEE Trans. Instrum. Meas., 2025)

Unsupervised Anomaly Detection for Aircraft PRSOV With Random Projection-Based Inner Product Prediction. - Dandan Peng; Ning Zhu; Te Han; Zhuyun Chen 001; Chenyu Liu (IEEE Trans. Instrum. Meas., 2025)

Dynamic Subdomain Pseudolabel Correction and Adaptation Framework for Multiscenario Mechanical Fault Diagnosis. - Chenxi Li; Huan Wang 015; Te Han (IEEE Trans. Reliab., 2025)