9 papers indexed
Persistent fever as an initial manifestation of polycythemia vera (PV) is uncommon and may lead to diagnostic delay. We report a 72-year-old woman with recurrent low-grade fever for 1 month, with a maximum temperature not exceeding 38.0 °C. Although this presentation did not meet…
Jie Zhou, Wenhua Li, Jinyun Peng, Yifan Cai, Junjie Lu, Yongfa Guo, et al.
Fixation is a central thermal step in green tea processing, but Gougunao tea uses a distinctive two-stage fixation and rolling workflow that has not been systematically evaluated at the metabolomic level. Here, four fixation processing workflows were compared: fully mechanical fi…
Shing Ho J. Lin, Wenzhao Zheng, Dong Zhuo, Yuqi Wu, Jie Zhou, Jiwen Lu
Geometry Foundation Models (GFMs) have substantially advanced monocular 3D reconstruction, yet extending this capability to 4D dynamic understanding remains a fundamental challenge. Most existing motion perception methods (e.g., sparse tracking, dense point-wise flow) treat motio…
Longqian Liu, Alexandre Reynaud, Jie Zhou
This research topic primarily focuses on scientific issues related to the neural mechanisms of abnormal visual disorders, such as amblyopia and intermittent exotropia, as well as the consequences of enucleation and mild traumatic brain injury. The aim is to understand the neural…
Shiyuan Piao, Fan Zehui, Yang Liu, Hong Cheng, Juepeng Zheng, Jie Zhou, et al.
Accurate short-term wind power forecasting is essential for grid stability and operational planning, yet remains challenging due to the complex interactions between atmospheric conditions and turbine dynamics. However, existing methods fail to effectively incorporate weather fore…
Yaohan Yang, Minglei Shi, Borui Zhang, Jie Zhou, Jiwen Lu
GUI agents must reason about how actions transform interface states, but end-to-end success rates entangle this ability with perception, grounding, planning, and recovery. We introduce EvoGUI, a diagnostic framework that converts normalized GUI trajectories into three complementa…
Jiarong Zhao, Zhikai Lei, Zhiheng Xi, Rui Zheng, Hang Yan, Jie Zhou, et al.
Scaling executable agent training data for LLM post-training is bottlenecked by substrate-bound methods that tie task generation to predefined tools, repositories, or skill graphs: expanding coverage requires manual substrate engineering, each new domain demands a bespoke pipelin…
Xinlong Zhao, Dongsheng Liu, Hengyu Zhao, Zixuan Fu, Zheng Wang, Jie Cai, et al.
As available training data approaches its physical limit, gains from Scaling Laws have begun to diminish. Consequently, improving Large Language Models (LLMs) now depends less on data expansion and more on higher-quality data utilization. However, in the context of large-scale co…
Fanye Kong, Hongyu Xia, Yu Zheng, Boyang Gong, Jie Zhou, Jiwen Lu
Recent advances in deep learning have notably improved steganographic message hiding. However, designing a generalizable steganographic approach for 3D Gaussian Splatting (3DGS) that can embed meaningful 3D scene content remains challenging. In this paper, we propose IBRSteG, a g…