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
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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