no code implementations • 25 Jan 2024 • Filip Cornell, Yifei Jin, Jussi Karlgren, Sarunas Girdzijauskas
First, we empirically find and theoretically motivate why sampling uniformly at random vastly overestimates the ranking performance of a method.
1 code implementation • 20 Apr 2023 • Yifei Jin, Marios Daoutis, Sarunas Girdzijauskas, Aristides Gionis
Cellular coverage quality estimation has been a critical task for self-organized networks.
1 code implementation • 8 Jul 2022 • Yifei Jin, Marios Daoutis, Sarunas Girdzijauskas, Aristides Gionis
Accurate routing network status estimation is a key component in Software Defined Networking.
no code implementations • 27 Dec 2021 • Yifei Jin, Filippo Vannella, Maxime Bouton, Jaeseong Jeong, Ezeddin Al Hakim
GAQ relies on a graph attention mechanism to select relevant neighbors information, improve the agent state representation, and update the tilt control policy based on a history of observations using a Deep Q-Network (DQN).
1 code implementation • 3 Oct 2020 • Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li
Modern machine learning models (such as deep neural networks and boosting decision tree models) have become increasingly popular in financial market prediction, due to their superior capacity to extract complex non-linear patterns.
no code implementations • 9 Feb 2020 • Tianping Zhang, Yuanqi Li, Yifei Jin, Jian Li
The multi-factor model is a widely used model in quantitative investment.
no code implementations • 20 May 2017 • Yifei Jin, Lingxiao Huang, Jian Li
Our algorithms achieve $(1-\epsilon)$-approximations with running time $\tilde{O}(nd+n\sqrt{d / \epsilon})$ for both variants, where $n$ is the number of points and $d$ is the dimensionality.