no code implementations • 9 Oct 2024 • Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu
We introduce DA-Code, a code generation benchmark specifically designed to assess LLMs on agent-based data science tasks.
1 code implementation • 8 Apr 2024 • Zhengde Zhang, Yiyu Zhang, Haodong Yao, Jianwen Luo, Rui Zhao, Bo Huang, Jiameng Zhao, Yipu Liao, Ke Li, Lina Zhao, Jun Cao, Fazhi Qi, Changzheng Yuan
To address this challenge, a sophisticated large language model system named as Xiwu has been developed, allowing you switch between the most advanced foundation models and quickly teach the model domain knowledge.
no code implementations • 15 Dec 2023 • Hengrong Lan, Zhiqiang Li, Qiong He, Jianwen Luo
Image reconstruction from radio-frequency data is pivotal in ultrafast plane wave ultrasound imaging.
no code implementations • 15 Dec 2023 • Zhiqiang Li, Hengrong Lan, Lijie Huang, Qiong He, Jianwen Luo
We hypothesize that a single PW can take a shortcut to reach the diffusion trajectory of PWC, removing the need to begin with Gaussian noise.
no code implementations • 24 Jun 2023 • Shangqing Tong, Hengrong Lan, Liming Nie, Jianwen Luo, Fei Gao
Photoacoustic tomography (PAT) is a newly emerged imaging modality which enables both high optical contrast and acoustic depth of penetration.
no code implementations • 17 Jan 2023 • Hengrong Lan, Lijie Huang, Zhiqiang Li, Jing Lv, Jianwen Luo
We find that dynamically masking a high proportion of the channels, e. g., 80%, yields nontrivial self-supervisors in both image and signal domains, which decrease the multiplicity of the pseudo solution to efficiently reconstruct the image from fewer PA measurements with minimum error of the image.
no code implementations • 4 Nov 2021 • Yuanyuan Wang, Yao Zhang, Qiong He, Hongen Liao, Jianwen Luo
This paper proposes a semi-automatic system based on quantitative characterization of the specific image patterns in lung ultrasound (LUS) images, in order to assess the lung conditions of patients with COVID-19 pneumonia, as well as to differentiate between the severe / and no-severe cases.
no code implementations • 15 Oct 2020 • Tri Vu, Anthony DiSpirito III, Daiwei Li, Zixuan Zhang, Xiaoyi Zhu, Maomao Chen, Laiming Jiang, Dong Zhang, Jianwen Luo, Yu Shrike Zhang, Qifa Zhou, Roarke Horstmeyer, Junjie Yao
Photoacoustic microscopy (PAM) is an emerging imaging method combining light and sound.
2 code implementations • 30 May 2020 • Anthony DiSpirito III, Daiwei Li, Tri Vu, Maomao Chen, Dong Zhang, Jianwen Luo, Roarke Horstmeyer, Junjie Yao
One primary technical challenge in photoacoustic microscopy (PAM) is the necessary compromise between spatial resolution and imaging speed.
1 code implementation • 23 May 2019 • Hongyu Chen, Xiting Zhao, Jianwen Luo, Zhijie Yang, Zehao Zhao, Haochuan Wan, Xiaoya Ye, Guangyuan Weng, Zhenpeng He, Tian Dong, Sören Schwertfeger
This paper presents a fully hardware synchronized mapping robot with support for a hardware synchronized external tracking system, for super-precise timing and localization.
Robotics
no code implementations • 20 Nov 2018 • Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, He Qiong, Jianwen Luo, Ruud J. G. van Sloun, Yonina C. Eldar
We compare the performance of the suggested deep network on both simulations and in-vivo rat brain scans, with a commonly practiced deep-network architecture and the fast iterative shrinkage algorithm, and show that our architecture exhibits better image quality and contrast.