1 code implementation • 9 Feb 2024 • Yuchen Wang, Zhengyu Fang, Wei Du, Shuai Xu, Rong Xu, Jing Li
The opioid epidemic, referring to the growing hospitalizations and deaths because of overdose of opioid usage and addiction, has become a severe health problem in the United States.
no code implementations • 2 Feb 2024 • Andrew Ye, James Xu, Yi Wang, Yifan Yu, Daniel Yan, Ryan Chen, Bosheng Dong, Vipin Chaudhary, Shuai Xu
We propose the integration of sentiment analysis and deep-reinforcement learning ensemble algorithms for stock trading, and design a strategy capable of dynamically altering its employed agent given concurrent market sentiment.
1 code implementation • NeurIPS 2023 • Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
While the model parameters do contribute to memory usage, the primary memory bottleneck during training arises from storing feature maps, also known as activations, as they are crucial for gradient calculation.
no code implementations • 14 Mar 2023 • Keer Yang, Guanqun Zhang, Chuan Bi, Qiang Guan, Hailu Xu, Shuai Xu
In recent years, there have been quite a few attempts to apply intelligent techniques to financial trading, i. e., constructing automatic and intelligent trading framework based on historical stock price.
1 code implementation • ICLR 2022 • Shaochen Zhong, Guanqun Zhang, Ningjia Huang, Shuai Xu
In this paper, we revisit the idea of kernel pruning (to only prune one or several $k \times k$ kernels out of a 3D-filter), a heavily overlooked approach under the context of structured pruning due to it will naturally introduce sparsity to filters within the same convolutional layer—thus, making the remaining network no longer dense.
no code implementations • 24 Jan 2021 • Shuai Xu, Dongliang Chang, Jiyang Xie, Zhanyu Ma
The proposed method outperforms the SOTA attention modules in the FGVC task.
Ranked #21 on Fine-Grained Image Classification on FGVC Aircraft
no code implementations • 16 Oct 2020 • Daniel Chen, Yekun Xu, Betis Baheri, Chuan Bi, Ying Mao, Qiang Quan, Shuai Xu
In this work, we developed an algorithm for principal component regression that runs in time polylogarithmic to the number of data points, an exponential speed up over the state-of-the-art algorithm, under the mild assumption that the input is given in some data structure that supports a norm-based sampling procedure.
no code implementations • 19 Dec 2016 • Shuai Xu, Wen Jiang, Yehang Shou
The user equilibrium traffic assignment principle is very important in the traffic assignment problem.