Yaran Chen
Orcid: 0000-0001-9356-0610
  According to our database1,
  Yaran Chen
  authored at least 64 papers
  between 2014 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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    on orcid.org
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Bibliography
  2025
Guest Editorial: Special Issue on Embodied AI in Indoor Robotics: Bridging Perception, Interaction, and Autonomy.
    
  
    IEEE Trans. Cogn. Dev. Syst., October, 2025
    
  
RoboGPT: An LLM-Based Long-Term Decision-Making Embodied Agent for Instruction Following Tasks.
    
  
    IEEE Trans. Cogn. Dev. Syst., October, 2025
    
  
    Mach. Intell. Res., October, 2025
    
  
NeuronsGym: A Hybrid Framework and Benchmark for Robot Navigation With Sim2Real Policy Learning.
    
  
    IEEE Trans. Emerg. Top. Comput. Intell., June, 2025
    
  
    IEEE Trans. Syst. Man Cybern. Syst., May, 2025
    
  
    IEEE Trans. Cybern., May, 2025
    
  
Robotic Sim-to-Real Transfer for Long-Horizon Pick-and-Place Tasks in the Robotic Sim2Real Competition.
    
  
    Proceedings of the IEEE International Conference on Robotics and Automation, 2025
    
  
Sample-Efficient Unsupervised Policy Cloning from Ensemble Self-Supervised Labeled Videos.
    
  
    Proceedings of the IEEE International Conference on Robotics and Automation, 2025
    
  
GAPartManip: A Large-Scale Part-Centric Dataset for Material-Agnostic Articulated Object Manipulation.
    
  
    Proceedings of the IEEE International Conference on Robotics and Automation, 2025
    
  
Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation.
    
  
    Proceedings of the Thirteenth International Conference on Learning Representations, 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