Jianliang He
Orcid: 0000-0003-4290-6380
According to our database1,
Jianliang He
authored at least 14 papers
between 2018 and 2024.
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Bibliography
2024
Multiattention-Based Feature Aggregation Convolutional Networks With Dual Focal Loss for Fault Diagnosis of Rotating Machinery Under Data Imbalance Conditions.
IEEE Trans. Instrum. Meas., 2024
Deep convolutional neural network based on self-distillation for tool wear recognition.
Eng. Appl. Artif. Intell., 2024
SAT: Data-light Uncertainty Set Merging via Synthetics, Aggregation, and Test Inversion.
CoRR, 2024
Multi-view contrastive learning framework for tool wear detection with insufficient annotated data.
Adv. Eng. Informatics, 2024
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Cross-domain adaptation network based on attention mechanism for tool wear prediction.
J. Intell. Manuf., December, 2023
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023
2021
A UAV Maneuver Decision-Making Algorithm for Autonomous Airdrop Based on Deep Reinforcement Learning.
Sensors, 2021
Prediction of Bearings Remaining Useful Life Across Working Conditions Based on Transfer Learning and Time Series Clustering.
IEEE Access, 2021
2020
Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning.
IEEE Trans. Instrum. Meas., 2020
Information Entropy-Based Intention Prediction of Aerial Targets under Uncertain and Incomplete Information.
Entropy, 2020
UAVs cooperative air-to-ground associated task assignment algorithm based on Multi-Agent and Contract Net Protocol.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
2018
Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018