no code implementations • 4 Mar 2024 • Yuxiao Huang, Wenjie Zhang, Liang Feng, Xingyu Wu, Kay Chen Tan
Recently, large language models (LLMs) have notably positioned them as capable tools for addressing complex optimization challenges.
no code implementations • 19 Feb 2024 • Jingpu Yang, Zehua Han, Mengyu Xiang, Helin Wang, Yuxiao Huang, Miao Fang
With the rapid advancement of Neural Machine Translation (NMT), enhancing translation efficiency and quality has become a focal point of research.
1 code implementation • 26 Dec 2023 • Jingpu Yang, Qirui Zhao, Helin Wang, Yuxiao Huang, Zirui Song, Miao Fang
OPARL employs a unique dual-actor approach: an optimistic actor dedicated to exploration and a pessimistic actor focused on utilization, thereby effectively differentiating between exploration and utilization strategies.
1 code implementation • 4 Aug 2022 • Yuxiao Huang, Yan Ma
A key challenge in Machine Learning is class imbalance, where the sample size of some classes (majority classes) are much higher than that of the other classes (minority classes).
no code implementations • 27 Dec 2021 • Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang
To address this problem, in this paper we design a novel propagation mechanism, which can automatically change the propagation and aggregation process according to homophily or heterophily between node pairs.
1 code implementation • 1 Jan 2021 • Yuxiao Huang
We then propose a feature importance model to capture a high-resolution distribution of feature importance across feature values.