Search Results for author: Ziyu Li

Found 12 papers, 8 papers with code

Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs

no code implementations11 Jan 2024 Ziyu Li, Donghwan Shin

We apply different types of code mutations, such as operator replacement and statement deletion, to generate inconsistent code-description pairs.

Code Generation

Metadata Representations for Queryable ML Model Zoos

no code implementations19 Jul 2022 Ziyu Li, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos

Machine learning (ML) practitioners and organizations are building model zoos of pre-trained models, containing metadata describing properties of the ML models and datasets that are useful for reporting, auditing, reproducibility, and interpretability purposes.

Management

SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI

1 code implementation14 Nov 2021 Qiyuan Tian, Ziyu Li, Qiuyun Fan, Jonathan R. Polimeni, Berkin Bilgic, David H. Salat, Susie Y. Huang

The noise in diffusion-weighted images (DWIs) decreases the accuracy and precision of diffusion tensor magnetic resonance imaging (DTI) derived microstructural parameters and leads to prolonged acquisition time for achieving improved signal-to-noise ratio (SNR).

Image Denoising

Towards Unified Surgical Skill Assessment

no code implementations CVPR 2021 Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li

In this paper, a unified multi-path framework for automatic surgical skill assessment is proposed, which takes care of multiple composing aspects of surgical skills, including surgical tool usage, intraoperative event pattern, and other skill proxies.

SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud

1 code implementation29 Mar 2021 Ziyu Li, Yuncong Yao, Zhibin Quan, Wankou Yang, Jin Xie

Specifically, we design the Spatial Information Enhancement (SIE) module to predict the spatial shapes of the foreground points within proposals, and extract the structure information to learn the representative features for further box refinement.

3D Object Detection Autonomous Vehicles +3

SRDTI: Deep learning-based super-resolution for diffusion tensor MRI

1 code implementation17 Feb 2021 Qiyuan Tian, Ziyu Li, Qiuyun Fan, Chanon Ngamsombat, Yuxin Hu, Congyu Liao, Fuyixue Wang, Kawin Setsompop, Jonathan R. Polimeni, Berkin Bilgic, Susie Y. Huang

High-resolution diffusion tensor imaging (DTI) is beneficial for probing tissue microstructure in fine neuroanatomical structures, but long scan times and limited signal-to-noise ratio pose significant barriers to acquiring DTI at sub-millimeter resolution.

Super-Resolution

Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion

1 code implementation27 Aug 2020 Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li

In the experiments on the binary instrument segmentation task of the 2017 MICCAI EndoVis Robotic Instrument Segmentation Challenge dataset, the proposed method achieves 0. 71 IoU and 0. 81 Dice score without using a single manual annotation, which is promising to show the potential of unsupervised learning for surgical tool segmentation.

Feature Correlation Segmentation

Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field

no code implementations27 Aug 2020 Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li

Then an objective and automated framework based on neural network is proposed to predict surgical skills through the proxy of COF.

Algorithm for Optimized mRNA Design Improves Stability and Immunogenicity

2 code implementations21 Apr 2020 He Zhang, Liang Zhang, Ang Lin, Congcong Xu, Ziyu Li, Kaibo Liu, Boxiang Liu, Xiaopin Ma, Fanfan Zhao, Weiguo Yao, Hangwen Li, David H. Mathews, Yujian Zhang, Liang Huang

Messenger RNA (mRNA) vaccines are being used for COVID-19, but still suffer from the critical issue of mRNA instability and degradation, which is a major obstacle in the storage, distribution, and efficacy of the vaccine.

Sentence

Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories

2 code implementations19 Oct 2018 Yaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou, Larry S. Davis

Existing 3D pose datasets of object categories are limited to generic object types and lack of fine-grained information.

3D Pose Estimation Object +1

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