In this framework, the sequential dynamics estimates from the first-principles based model are fused with raw state-control input sequences to implement physics-guided feature augmentation and a time-series decomposition and prediction module is introduced to explicitly decouple and model dynamic components across dist...
Bo-Han Zhang, Chao Chen, Jiang-Lan Fu et al.· Journal of Machine Learning...· 0 citations
Experimental results show that SG-Layout improves spatial reasoning accuracy and geometric consistency over the compact open-source backbone, with particularly clear advantages in relation-dense and compositionally complex scenes.
Junsheng Wang, Chao Chen, Mengying Xie et al.· 0 citations
EdgeCoInfer, a hierarchical collaborative inference framework enabling efficient on-device MLLM inference through coarse-to-fine orchestration, and a Hybrid Evolutionary Hierarchical Reinforcement Learning (HE-HRL) framework to tackle the non-differentiable combinatorial explosion.
Lin Tan, Songtao Guo, Mingyan Li et al.· arXiv.org· 0 citations
WA-TD3 is introduced, a data-driven control framework that enables real-time wind disturbance perception and adaptive compensation without dedicated wind sensors, and consistently outperforms state-of-the-art methods on tracking accuracy under strong winds.
Hui-Dong Liu, Jia-Rui Dou, Jiang-Shan Ai et al.· Proceedings of the Thirty-Fi...· 0 citations
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