Hanyang Liu

Orcid: 0000-0002-6487-0246

According to our database1, Hanyang Liu authored at least 30 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Harmonic Sparse Structured Nonnegative Matrix Factorization: A Novel Method for the Separation of Coupled Fault Feature.
IEEE Trans. Ind. Informatics, April, 2024

UEDG:Uncertainty-Edge Dual Guided Camouflage Object Detection.
IEEE Trans. Multim., 2024

Efficient Template Distinction Modeling Tracker With Temporal Contexts for Aerial Tracking.
IEEE Trans. Geosci. Remote. Sens., 2024

Feature Block-Aware Correlation Filters for Real-Time UAV Tracking.
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

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

An Efficient Approach to Manage Natural Noises in Recommender Systems.
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

DComp: Efficient Offload of LSM-tree Compaction with Data Processing Units.
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

Predicting Intraoperative Hypoxemia with Joint Sequence Autoencoder Networks.
CoRR, 2021

Research on the Vibration Characteristic of a Seawater Hydraulic Piston Pump System and Vibration Reduction Approach.
IEEE Access, 2021

Objective-aware Traffic Simulation via Inverse Reinforcement Learning.
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
Semi-supervised Federated Learning for Activity Recognition.
CoRR, 2020

Learning to Simulate Vehicle Trajectories from Demonstrations.
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
Semi-supervised Orthogonal Graph Embedding with Recursive Projections.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Balanced Clustering with Least Square Regression.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017


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