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Yi Chen

5 papers indexed

openalexFrontiers in Bioengineering and Biotechnology2026-07-24

Bridging physics and biology in acupuncture: flexible multimodal bioelectronics for decoding the deqi microenvironment

Zhanhao Wu, Yinhu Hu, Lei Song, Juan Jin, C G Zhu, Yi Chen, et al.

Clinical standardization of acupuncture remains limited by its reliance on empirical tactile feedback and subjective patient sensations, a physiological response collectively termed Deqi. Here, the Deqi microenvironment refers to the local, time-varying tissue domain around the n…

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openalexFrontiers in Cellular Neuroscience2026-07-24

Gut-derived signals regulating glial activation and secondary neuroinflammation after spinal cord injury: an evidence mapping and mechanistic framework

Baoxiu Yi, Wenguang Chen, Zhenhai Chi, Qiangjian Mao, Xiaoqin Li, Yi Chen

Secondary neuroinflammation after spinal cord injury (SCI) is a key pathological process that affects neuronal survival, axonal regeneration, and functional recovery. Increasing evidence suggests that dysbiosis of the gut microbiota, disruption of the intestinal barrier, and abno…

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arxivcs.CLcs.LG2026-07-15

Demystifying On-Policy Distillation: Roles, Pathologies, and Regulations

Rui Wang, Hongru Wang, Yi Chen, Boyang Xue, Tianqing Fang, Wenhao Yu, et al.

On-policy distillation (OPD) has become a key paradigm in LLM post-training, yet its training dynamics remain poorly understood. We present a systematic study examining the role, pathologies, and regulations of OPD. We first clarify the role of OPD as an exploration catalyst: it…

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arxivcs.CVcs.RO2026-07-14

Just-In-Time Scene Graph Growth: Combating Perceptual Saturation in Long-Horizon Robotics

Yue Chang, Rufeng Chen, Yifan Tian, Dazhi Huang, Zhaofan Zhang, Yi Chen, et al.

While 3D Scene Graphs (3DSGs) provide crucial structured representations for embodied agents, conventional Ahead-of-Time, build-everything-then-filter pipelines conflict with the real-time, low-latency demands of edge platforms, inducing a perceptual saturation effect via severe…

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arxivcs.ROcs.AI2026-07-11

VINE: Taming Generative Control Policies for Reinforcement Learning

Rushuai Yang, Zhuo Han, Houlin Li, Hecheng Wang, Zhichao Wu, Rui Zhang, et al.

Flow-matching policies have emerged as an effective policy parameterization for robot learning. They iteratively generate actions from noise, enabling highly expressive modeling of complex and multimodal action distributions. However, prior works observed that scaling these polic…

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