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Hui Zhang

6 papers indexed

arxivcs.DCcs.AIcs.SE2026-07-17

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models

Haoran Sun, Wentao Zhang, Junyang Hua, Hedan Yang, Yongjian Guo, Yifei Zhang, et al.

The post-training of Vision-Language-Action (VLA) models is essential due to the diversity of simulators, robot embodiments, and task objectives. Existing compute services, whether offered as direct accelerator rental or batch-workload submission, typically allocate an exclusive…

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arxivcs.CV2026-07-12

Align and Segment: Unsupervised Learning for Building Segmentation From Misaligned Labels

Venkanna Babu Guthula, Oswin Krause, Dimitri Gominski, Hui Zhang, Johan Mottelson, Ankit Kariryaa, et al.

Supervised learning for image segmentation typically requires spatially aligned image and label sets. When images and labels originate from different sources, the pairing may be misaligned, which can significantly deteriorate the performance of the learned models. This is especia…

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arxivcs.CV2026-07-09

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations

Yihang Zou, Hui Zhang, Zuowei Shen, Chenglong Bao

This paper studies the problem of learning a joint distribution from marginal observations, which is inherently ill-posed due to the ambiguity of feasible couplings. We propose LUD-MSR, a latent-variable probabilistic framework that models the joint distribution via auxiliary rep…

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arxivcs.CV2026-06-30

A Synthetic-Driven Vision System for Assembly Step Recognition

Hui Zhang, Xuanang Lei, Rui Wang, Julian Ferchow, Mirko Meboldt

Quality control in industrial assembly is essential, and real-time monitoring of the assembly process is crucial for preventing costly defects and ensuring production reliability. Vision-based automated inspection offers a powerful solution for such real-time monitoring. However,…

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arxivcs.RO2026-06-26

Building a Scalable, Reproducible, Evaluatable, and Closed-Loop Simulation Environment Foundation for Embodied Intelligence

Junwu Xiong, Yongjian Guo, Mingxi Luo, Ning Qiao, Lei Kang, Song Wang, et al.

This paper presents a cloud-native simulation infrastructure framework for embodied intelligence that supports large-scale training, standardized evaluation, and simulation-based data collection. The framework unifies simulation environment generation, task execution, trajectory…

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