Fangyuan Wang

Orcid: 0000-0002-7492-632X

Affiliations:
  • Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR, China
  • Eastern Institute of Technology, Ningbo, China
  • hejiang Sci-Tech University, Zhejiang, China (former)


According to our database1, Fangyuan Wang authored at least 11 papers between 2021 and 2026.

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Bibliography

2026
LLM-driven symbolic planning and hierarchical imitation learning for long-horizon deformable object assembly.
Robotics Comput. Integr. Manuf., 2026

2025
Rearranging Deformable Linear Objects for Implicit Goals with Self-Supervised Planning and Control.
Adv. Intell. Syst., February, 2025

TEVIO: Thermal-Aided Event-Based Visual-Inertial Odometry for Robust State Estimation in Challenging Environments.
IEEE Trans. Instrum. Meas., 2025

Explicit-Implicit Subgoal Planning for Long-Horizon Tasks With Sparse Rewards.
IEEE Trans Autom. Sci. Eng., 2025

Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Understanding via Exploration: Discovery of Interpretable Features With Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

2023
Resilient Consensus via Weight Learning and Its Application in Fault-Tolerant Clock Synchronization.
IEEE Trans. Control. Netw. Syst., December, 2023

Implicit Subgoal Planning with Variational Autoencoders for Long-Horizon Sparse Reward Robotic Tasks.
CoRR, 2023

2022
A Dual-Arm Collaborative Framework for Dexterous Manipulation in Unstructured Environments with Contrastive Planning.
CoRR, 2022

An Embedded Feature Selection Framework for Control.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


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