Hanyang Liu
Orcid: 0000-0002-6487-0246
According to our database1,
Hanyang Liu
authored at least 32 papers
between 2017 and 2025.
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Bibliography
2025
Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis.
Reliab. Eng. Syst. Saf., 2025
2024
Harmonic Sparse Structured Nonnegative Matrix Factorization: A Novel Method for the Separation of Coupled Fault Feature.
IEEE Trans. Ind. Informatics, April, 2024
IEEE Trans. Multim., 2024
Efficient Template Distinction Modeling Tracker With Temporal Contexts for Aerial Tracking.
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE Signal Process. Lett., 2024
Matrix factorization recommender based on adaptive Gaussian differential privacy for implicit feedback.
Inf. Process. Manag., 2024
Unlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and VisualAnalysis Strategy.
CoRR, 2024
Unlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and Visual Analysis Strategy.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
A novel acoustic emission signal segmentation network for bearing fault fingerprint feature extraction under varying speed conditions.
Eng. Appl. Artif. Intell., November, 2023
Learning Response-Consistent and Background-Suppressed Correlation Filters for Real-Time UAV Tracking.
Sensors, March, 2023
Characterizing the macrostructure of electronic health record work using raw audit logs: an unsupervised action embeddings approach.
J. Am. Medical Informatics Assoc., February, 2023
RISTrack: Learning Response Interference Suppression Correlation Filters for UAV Tracking.
IEEE Geosci. Remote. Sens. Lett., 2023
Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation.
CoRR, 2023
Algorithms, 2023
Progressive Neural Compression for Adaptive Image Offloading Under Timing Constraints.
Proceedings of the IEEE Real-Time Systems Symposium, 2023
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 52nd International Conference on Parallel Processing, 2023
2022
Building a Fast and Efficient LSM-tree Store by Integrating Local Storage with Cloud Storage.
ACM Trans. Archit. Code Optim., 2022
Variations of Urban NO2 Pollution during the COVID-19 Outbreak and Post-Epidemic Era in China: A Synthesis of Remote Sensing and In Situ Measurements.
Remote. Sens., 2022
Predicting physician burnout using clinical activity logs: Model performance and lessons learned.
J. Biomed. Informatics, 2022
HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Vertical Structure of Air Pollutant Transport Flux as Determined by Ground-Based Remote Sensing Observations in Fen-Wei Plain, China.
Remote. Sens., 2021
CoRR, 2021
Research on the Vibration Characteristic of a Seawater Hydraulic Piston Pump System and Vibration Reduction Approach.
IEEE Access, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Building A Fast and Efficient LSM-tree Store by Integrating Local Storage with Cloud Storage.
Proceedings of the IEEE International Conference on Cluster Computing, 2021
2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
2019
A Local and Global Discriminative Framework and Optimization for Balanced Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2019
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017