Yaran Chen
Orcid: 0000-0001-9356-0610
According to our database1,
Yaran Chen
authored at least 54 papers
between 2014 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
2024
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations.
IEEE Trans. Artif. Intell., September, 2024
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos.
CoRR, 2024
GAPartManip: A Large-scale Part-centric Dataset for Material-Agnostic Articulated Object Manipulation.
CoRR, 2024
PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning.
CoRR, 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning.
CoRR, 2024
CoRR, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Common Sense Language-Guided Exploration and Hierarchical Dense Perception for Instruction Following Embodied Agents.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
2023
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023
IEEE Trans. Cogn. Dev. Syst., September, 2023
RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks.
CoRR, 2023
CoRR, 2023
CoRR, 2023
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning.
CoRR, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Cybern., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis.
IEEE Trans. Cogn. Dev. Syst., 2021
MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation.
Neurocomputing, 2021
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search.
CoRR, 2021
CoRR, 2021
IA-CNN: A generalised interpretable convolutional neural network with attention mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
IEEE CAA J. Autom. Sinica, 2020
CoRR, 2020
Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate.
CoRR, 2020
Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes].
IEEE Comput. Intell. Mag., 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Inf. Sci., 2018
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving.
CoRR, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A temporal-based deep learning method for multiple objects detection in autonomous driving.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018
2017
IEEE Trans. Cogn. Dev. Syst., 2017
Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2014
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014
A computational experiment method in ACP framework for complex urban traffic networks.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014