no code implementations • 6 Dec 2023 • Haoyue Wang, Li Pan, Bo Yang, Junqiang Jiang, Wenbin Li
In order to improve the accuracy of the identification of essential proteins, researchers attempted to obtain a refined PIN by combining multiple biological information to filter out some unreliable interactions in the PIN.
no code implementations • 29 Dec 2022 • Haoyue Wang, Meiling Li, Sheng Li, Zhenxing Qian, Xinpeng Zhang
As one of the important face features, the face depth map, which has shown to be effective in other areas such as the face recognition or face detection, is unfortunately paid little attention to in literature for detecting the manipulated face images.
no code implementations • 24 Oct 2022 • Jiakuan Fan, Haoyue Wang, Wei Wang, Ming Gao, Shengyu Zhao
In open source project governance, there has been a lot of concern about how to measure developers' contributions.
no code implementations • 23 Jun 2022 • Rahul Mazumder, Xiang Meng, Haoyue Wang
Recently there has been significant interest in learning optimal decision trees using various approaches (e. g., based on integer programming, dynamic programming) -- to achieve computational scalability, most of these approaches focus on classification tasks with binary features.
no code implementations • 3 Jun 2021 • Rahul Mazumder, Haoyue Wang
We prove that under a suitable scaling of the number of mismatched pairs compared to the number of samples and features, and certain assumptions on problem data; our local search algorithm converges to a nearly-optimal solution at a linear rate.
no code implementations • NeurIPS 2019 • Dongdong Ge, Haoyue Wang, Zikai Xiong, Yinyu Ye
Computing the Wasserstein barycenter of a set of probability measures under the optimal transport metric can quickly become prohibitive for traditional second-order algorithms, such as interior-point methods, as the support size of the measures increases.
2 code implementations • 6 Jan 2019 • Antoine Dedieu, Rahul Mazumder, Haoyue Wang
The linear Support Vector Machine (SVM) is a classic classification technique in machine learning.