Ke Lin

Orcid: 0000-0002-3429-5877

Affiliations:
  • Harbin Institute of Technology Shenzhen (HITSZ), Shenzhen, China
  • Shanghai Jiao Tong University, School of Mechanical Engineering, Shanghai, China


According to our database1, Ke Lin authored at least 22 papers between 2019 and 2024.

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

Timeline

Legend:

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Bibliography

2024
TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

FHCPL: An Intelligent Fixed-Horizon Constrained Policy Learning System for Risk-Sensitive Industrial Scenario.
IEEE Trans. Ind. Informatics, April, 2024

Motion Planner With Fixed-Horizon Constrained Reinforcement Learning for Complex Autonomous Driving Scenarios.
IEEE Trans. Intell. Veh., January, 2024

A review of graph-based multi-agent pathfinding solvers: From classical to beyond classical.
Knowl. Based Syst., January, 2024

Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation.
Inf. Sci., 2024

2023
Distributional reinforcement learning with epistemic and aleatoric uncertainty estimation.
Inf. Sci., October, 2023

A fully distributed adaptive event-triggered control for output regulation of multi-agent systems with directed network.
Inf. Sci., May, 2023

Learning Real-Time Dynamic Responsive Gap-Traversing Policy for Quadrotors With Safety-Aware Exploration.
IEEE Trans. Intell. Veh., March, 2023

2022
MFDNet: Collaborative Poses Perception and Matrix Fisher Distribution for Head Pose Estimation.
IEEE Trans. Multim., 2022

EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System.
IEEE Trans. Ind. Informatics, 2022

Multi-perspective social recommendation method with graph representation learning.
Neurocomputing, 2022

Battery Management for Warehouse Robots via Average-Reward Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

2021
A Novel Incremental and Interactive Method for Actual Heartbeat Classification With Limited Additional Labeled Samples.
IEEE Trans. Instrum. Meas., 2021

CARM: Confidence-aware recommender model via review representation learning and historical rating behavior in the online platforms.
Neurocomputing, 2021

Pixel level segmentation of early-stage in-bag rice root for its architecture analysis.
Comput. Electron. Agric., 2021

Precise and efficient heartbeat classification using a novel lightweight-modified method.
Biomed. Signal Process. Control., 2021

Efficient Nodes Representation Learning with Residual Feature Propagation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020
A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection.
Knowl. Based Syst., 2020

Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control.
CoRR, 2020

A high-precision arrhythmia classification method based on dual fully connected neural network.
Biomed. Signal Process. Control., 2020

2019
A High-Precise Arrhythmia Detection Method Based on Biorthogonal Wavelet and Fully Connected Neural Network.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019


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