no code implementations • 24 Jan 2024 • Mark Steyvers, Heliodoro Tejeda, Aakriti Kumar, Catarina Belem, Sheer Karny, Xinyue Hu, Lukas Mayer, Padhraic Smyth
Recent work has focused on the quality of internal LLM confidence assessments, but the question remains of how well LLMs can communicate this internal model confidence to human users.
no code implementations • 12 Oct 2023 • Qiuhui Chen, Haiying Lyu, Xinyue Hu, Yong Lu, Yi Hong
In this paper, we propose a scribble-based volumetric image segmentation, Scribble2D5, which tackles 3D anisotropic image segmentation and aims to its improve boundary prediction.
no code implementations • 12 Sep 2023 • Xinyue Hu, Zenan Sun, Yi Nian, Yifang Dang, Fang Li, Jingna Feng, Evan Yu, Cui Tao
Employing a GNN approach with claims data enhances ADRD risk prediction and provides insights into the impact of interconnected medical code relationships.
no code implementations • 6 Sep 2023 • Mengliang Zhang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
In this paper, we re-extract disease labels from CXR reports to make them more realistic by considering disease severity and uncertainty in classification.
1 code implementation • 22 Jul 2023 • Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Given a pair of main and reference images, this task attempts to answer several questions on both diseases and, more importantly, the differences between them.
1 code implementation • 18 May 2023 • Qiuhui Chen, Xinyue Hu, ZiRui Wang, Yi Hong
Vision-language pre-training (VLP) models have been demonstrated to be effective in many computer vision applications.
no code implementations • 19 Feb 2023 • Xinyue Hu, Lin Gu, Kazuma Kobayashi, Qiyuan An, Qingyu Chen, Zhiyong Lu, Chang Su, Tatsuya Harada, Yingying Zhu
Medical visual question answering (VQA) aims to answer clinically relevant questions regarding input medical images.
1 code implementation • 18 Oct 2022 • Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie
Bilingual lexicon induction induces the word translations by aligning independently trained word embeddings in two languages.
no code implementations • 13 Aug 2022 • Xinyue Hu, Lin Gu, Liangchen Liu, Ruijiang Li, Chang Su, Tatsuya Harada, Yingying Zhu
Existing video domain adaption (DA) methods need to store all temporal combinations of video frames or pair the source and target videos, which are memory cost expensive and can't scale up to long videos.
no code implementations • 17 Feb 2022 • Yi Nian, Xinyue Hu, Rui Zhang, Jingna Feng, Jingcheng Du, Fang Li, Yong Chen, Cui Tao
The 1, 672, 110 filtered triples were used to train with knowledge graph completion algorithms (i. e., TransE, DistMult, and ComplEx) to predict candidates that might be helpful for AD treatment or prevention.
no code implementations • 13 Sep 2021 • Yi Nian, Jingcheng Du, Larry Bu, Fang Li, Xinyue Hu, Yuji Zhang, Cui Tao
To date, there are no effective treatments for most neurodegenerative diseases.
no code implementations • 31 Jan 2020 • Xinyue Hu, Haoji Hu, Saurabh Verma, Zhi-Li Zhang
Nevertheless, prior data-driven approaches suffer from poor performance and generalizability, due to overly simplified assumptions of the PF problem or ignorance of physical laws governing power systems.