Zobrazeno 1 - 10
of 5 956
pro vyhledávání: '"HU, GANG"'
Split Learning (SL) is a promising collaborative machine learning approach, enabling resource-constrained devices to train models without sharing raw data, while reducing computational load and preserving privacy simultaneously. However, current SL a
Externí odkaz:
http://arxiv.org/abs/2411.13907
Autor:
Hou, Chang, Marra, Luigi, Maceda, Guy Y. Cornejo, Jiang, Peng, Chen, Jingguo, Liu, Yutong, Hu, Gang, Chen, Jialong, Ianiro, Andrea, Discetti, Stefano, Meilán-Vila, Andrea, Noack, Bernd R.
We propose a physics-informed data-driven framework for urban wind estimation. This framework validates and incorporates the Reynolds number independence for flows under various working conditions, thus allowing the extrapolation for wind conditions
Externí odkaz:
http://arxiv.org/abs/2410.02427
Federated Edge Learning (FEEL) emerges as a pioneering distributed machine learning paradigm for the 6G Hyper-Connectivity, harnessing data from the Internet of Things (IoT) devices while upholding data privacy. However, current FEEL algorithms strug
Externí odkaz:
http://arxiv.org/abs/2406.09776
Investment portfolios, central to finance, balance potential returns and risks. This paper introduces a hybrid approach combining Markowitz's portfolio theory with reinforcement learning, utilizing knowledge distillation for training agents. In parti
Externí odkaz:
http://arxiv.org/abs/2405.05449
Autor:
Jiang, Xuehan, Xie, Hong, Tang, Rui, Du, Yanmei, Li, Tao, Gao, Jinsheng, Xu, Xiuping, Jiang, Siqi, Zhao, Tingting, Zhao, Wei, Sun, Xingzhi, Hu, Gang, Wu, Dejun, Xie, Guotong
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 4, p e25817 (2021)
BackgroundInternet hospitals in China are in great demand due to limited and unevenly distributed health care resources, lack of family doctors, increased burdens of chronic diseases, and rapid growth of the aged population. The COVID-19 epidemic cat
Externí odkaz:
https://doaj.org/article/4ea0b94930e242cf9e88a6f01fc85b02
Autor:
Chen, Yangyang1 (AUTHOR) ychen722@cityu.edu.hk, Hu, Gang2 (AUTHOR), Yao, Jun3 (AUTHOR), Zhao, Jingran2 (AUTHOR)
Publikováno v:
Journal of Accounting, Auditing & Finance. Jul2024, Vol. 39 Issue 3, p673-696. 24p.
Autor:
Hu, Gang, Qin, Ke, Yuan, Chenhan, Peng, Min, Lopez-Lira, Alejandro, Wang, Benyou, Ananiadou, Sophia, Huang, Jimin, Xie, Qianqian
While the progression of Large Language Models (LLMs) has notably propelled financial analysis, their application has largely been confined to singular language realms, leaving untapped the potential of bilingual Chinese-English capacity. To bridge t
Externí odkaz:
http://arxiv.org/abs/2403.06249
Autor:
Xie, Qianqian, Han, Weiguang, Chen, Zhengyu, Xiang, Ruoyu, Zhang, Xiao, He, Yueru, Xiao, Mengxi, Li, Dong, Dai, Yongfu, Feng, Duanyu, Xu, Yijing, Kang, Haoqiang, Kuang, Ziyan, Yuan, Chenhan, Yang, Kailai, Luo, Zheheng, Zhang, Tianlin, Liu, Zhiwei, Xiong, Guojun, Deng, Zhiyang, Jiang, Yuechen, Yao, Zhiyuan, Li, Haohang, Yu, Yangyang, Hu, Gang, Huang, Jiajia, Liu, Xiao-Yang, Lopez-Lira, Alejandro, Wang, Benyou, Lai, Yanzhao, Wang, Hao, Peng, Min, Ananiadou, Sophia, Huang, Jimin
LLMs have transformed NLP and shown promise in various fields, yet their potential in finance is underexplored due to a lack of comprehensive evaluation benchmarks, the rapid development of LLMs, and the complexity of financial tasks. In this paper,
Externí odkaz:
http://arxiv.org/abs/2402.12659
This paper focuses on developing a deep reinforcement learning (DRL) control strategy to mitigate aerodynamic forces acting on a three dimensional (3D) square cylinder under high Reynolds number flow conditions. Four jets situated at the corners of t
Externí odkaz:
http://arxiv.org/abs/2401.12543
Autor:
Hu, Gang
This study enhances a Deep Q-Network (DQN) trading model by incorporating advanced techniques like Prioritized Experience Replay, Regularized Q-Learning, Noisy Networks, Dueling, and Double DQN. Extensive tests on assets like BTC/USD and AAPL demonst
Externí odkaz:
http://arxiv.org/abs/2311.05743