1 code implementation • 24 Mar 2024 • Siyuan Liang, Wei Wang, Ruoyu Chen, Aishan Liu, Boxi Wu, Ee-Chien Chang, Xiaochun Cao, DaCheng Tao
This paper aims to bridge this gap by conducting a comprehensive review and analysis of object detectors in open environments.
1 code implementation • 14 Feb 2024 • Ruoyu Chen, Hua Zhang, Siyuan Liang, Jingzhi Li, Xiaochun Cao
For incorrectly predicted samples, our method achieves gains of 81. 0% and 18. 4% compared to the HSIC-Attribution algorithm in the average highest confidence and Insertion score respectively.
no code implementations • 17 Aug 2023 • Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li
A multi-view contrastive learning framework is introduced to encompass semantic contrasts between source, codeswitched, and target sentences, as well as contrasts among token-to-token relations.
1 code implementation • ACM Transactions on Multimedia Computing, Communications and Applications 2022 • Ruoyu Chen, Jingzhi Li, Hua Zhang, Changchong Sheng, Li Liu, Xiaochun Cao
Different from existing models, in this paper, we propose a new interpretation method that explains the image similarity models by salience maps and attribute words.
1 code implementation • Poultry Science 2022 • Ruoyu Chen, Yuliang Zhao, YongLiang Yang, Shuyu Wang, Lianjiang Li, Xiaopeng Sha, Lianqing Liu, Guanglie Zhang, Wen Jung Li
The model estimated the weight of duck carcasses precisely with a mean abstract deviation (MAD) of 58. 8 grams and a mean relative error (MRE) of 2. 15% in the testing dataset.
1 code implementation • 20 Mar 2021 • Shuyu Lu, Ruoyu Chen, Wei Wei, Xinghua Lu
We examined whether machine learning models, more specifically the XGBoost model, can accurately predict patient stage based on EHR, and we further applied the SHapley Additive exPlanations (SHAP) framework to identify informative features and their interpretations.