no code implementations • 30 May 2024 • Xinyang Huang, Chuang Zhu, Kebin Liu, Ruiying Ren, ShengJie Liu
In this work, we design a Correlation Enhancement Network (CORENet) with foundation model, which utilizes multi-information guidance to learn robust correlation.
no code implementations • 27 May 2024 • ShengJie Liu, Lu Zhang
Experiments on two AOD datasets with real-world cloud patterns showed that the proposed method outperformed deep CNN and random forest, achieving R$^2$ of 0. 7431 on MODIS AOD and R$^2$ of 0. 9211 on EMIT AOD, compared to deep CNN's R$^2$ of 0. 6507 and R$^2$ of 0. 8619.
1 code implementation • 29 Mar 2024 • ShengJie Liu, Jing Wu, Jingyuan Bao, Wenyi Wang, Naira Hovakimyan, Christopher G Healey
SummRAG is an example of our goal of defining structured methods to test the capabilities of an LLM, rather than addressing issues in a one-off fashion.
1 code implementation • 4 Jan 2024 • Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li, ShengJie Liu, Chongchao Zhao, Tianpei Xie, Hanqing Guo, Cheng Ji, Daniel Cociorva, Hakan Brunzel
Self-supervised representation learning methods have achieved significant success in computer vision and natural language processing, where data samples exhibit explicit spatial or semantic dependencies.
1 code implementation • 30 Dec 2023 • Hengrui Cai, ShengJie Liu, Rui Song
This paper explores the causal reasoning of large language models (LLMs) to enhance their interpretability and reliability in advancing artificial intelligence.
1 code implementation • 5 May 2023 • Chuang Zhu, ShengJie Liu, Zekuan Yu, Feng Xu, Arpit Aggarwal, Germán Corredor, Anant Madabhushi, Qixun Qu, Hongwei Fan, Fangda Li, Yueheng Li, Xianchao Guan, Yongbing Zhang, Vivek Kumar Singh, Farhan Akram, Md. Mostafa Kamal Sarker, Zhongyue Shi, Mulan Jin
For invasive breast cancer, immunohistochemical (IHC) techniques are often used to detect the expression level of human epidermal growth factor receptor-2 (HER2) in breast tissue to formulate a precise treatment plan.
1 code implementation • 22 Dec 2022 • ShengJie Liu, Jia Guo, Chenyang Yang
Based on the observation that the mismatched permutation property from the policies and the information loss during the update of hidden representations have large impact on the learning performance and efficiency, in this paper we propose a unified framework to learn permutable wireless policies with multidimensional GNNs.
1 code implementation • 5 Oct 2022 • ShengJie Liu, Chuang Zhu, Wenqi Tang
For scenarios where weak supervision and cross-domain problems coexist, this paper defines a new task: unsupervised domain adaptation based on weak source domain labels (WUDA).
1 code implementation • 25 Apr 2022 • ShengJie Liu, Chuang Zhu, Feng Xu, Xinyu Jia, Zhongyue Shi, Mulan Jin
The evaluation of human epidermal growth factor receptor 2 (HER2) expression is essential to formulate a precise treatment for breast cancer.
Ranked #1 on Image-to-Image Translation on BCI
Breast Cancer Detection Classification Of Breast Cancer Histology Images +4
1 code implementation • 24 Aug 2021 • Xinyu Jia, Chuang Zhu, Minzhen Li, Wenqi Tang, ShengJie Liu, Wenli Zhou
It is very challenging for various visual tasks such as image fusion, pedestrian detection and image-to-image translation in low light conditions due to the loss of effective target areas.
Ranked #1 on Thermal Infrared Pedestrian Detection on LLVIP