Research was conducted on the application of machine learning and deep learning technologies to machining quality prediction for parts in the context of industrial intelligence. Two practical projects were investigated: the first was the prediction of the flatness of engine cylinder blocks in combustion-chamber face mi...
Ji-Ze Cui, Zhi-Le Yang, Yuan-Jun Guo et al.· 2026 6th Power System and Gr...· 0 citations
Spiking neural networks (SNNs) offer sparse and event-driven computation, making them attractive for energy-constrained reinforcement learning (RL) on edge devices. In value-based RL, deep spiking Q-networks (DSQNs) combine such efficiency with action-value estimation for decision making. However, existing DSQNs often...
Zi-Jie Xu, Bing-Rui Guo, Yi-Ding Sun et al.· 0 citations
DAC-Pose is proposed, a novel agent-driven multimodal framework that reformulates single-view human generation as a collaborative dual-agent system that excels in preserving texture alignment and identity consistency under drastic viewpoint changes.
Hao-Tian Yang, Zhi-Le Yang, Hui-Yu Zhou et al.· 1 citation
Aiming at the multi-objective optimization problem of dynamic economic emission dispatch (DEED) considering plug-in electric vehicles (PEVs), this paper proposes an improved multi-objective grey wolf optimizer (IMGWO) to simultaneously minimize power generation costs and pollutant emissions. Traditional economic dispat...
Qualitative results show that the proposed HiPA-Gen framework produces clearer limb boundaries, more reliable spatial ordering, and more consistent clothing textures in challenging pose interaction scenarios.
Juncheng Zhu, Hao-Tian Yang, Mubai Li et al.· Electronics· 0 citations
Simulation evidence is provided that preserving a nominal behavioral prior while regulating bounded residual correction through critic disagreement improves three-finger grasping robustness under physical-domain variation.
Juncheng Zhu, Zhan Gao, Zhi-Le Yang et al.· Machines· 0 citations
Compared with the reproduced UniDexGrasp-T baseline under the same object split and evaluation protocol, DexGraspDiffuser improves the three-split average success rate by 3.3 percentage points and reduces the average mean position error by 0.53 cm, indicating that target-coupled grasp and action diffusion contribute to...
Juncheng Zhu, Haotian Yang, Zhile Yang et al.· Biomimetics· 0 citations
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