Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Zhao, H. Vicky"'
Autor:
Wang, Huisheng, Zhao, H. Vicky
Decision-changing imitation is a prevalent phenomenon in financial markets, where investors imitate others' decision-changing rates when making their own investment decisions. In this work, we study the optimal investment problem under the influence
Externí odkaz:
http://arxiv.org/abs/2409.10933
Autor:
Pan, Zhuoshi, Wu, Qianhui, Jiang, Huiqiang, Xia, Menglin, Luo, Xufang, Zhang, Jue, Lin, Qingwei, Rühle, Victor, Yang, Yuqing, Lin, Chin-Yew, Zhao, H. Vicky, Qiu, Lili, Zhang, Dongmei
This paper focuses on task-agnostic prompt compression for better generalizability and efficiency. Considering the redundancy in natural language, existing approaches compress prompts by removing tokens or lexical units according to their information
Externí odkaz:
http://arxiv.org/abs/2403.12968
Understanding the impact of messages on agents' opinions over social networks is important. However, to our best knowledge, there has been limited quantitative investigation into this phenomenon in the prior works. To address this gap, this paper pro
Externí odkaz:
http://arxiv.org/abs/2402.18867
Autor:
Wang, Huisheng, Zhao, H. Vicky
In this paper, we study the optimal investment problem considering the herd behaviour between two agents, including one leading expert and one following agent whose decisions are influenced by those of the leading expert. In the objective functional
Externí odkaz:
http://arxiv.org/abs/2401.07183
Autor:
Pan, Zhuoshi, Yao, Yuguang, Liu, Gaowen, Shen, Bingquan, Zhao, H. Vicky, Kompella, Ramana Rao, Liu, Sijia
While state-of-the-art diffusion models (DMs) excel in image generation, concerns regarding their security persist. Earlier research highlighted DMs' vulnerability to data poisoning attacks, but these studies placed stricter requirements than convent
Externí odkaz:
http://arxiv.org/abs/2311.02373
Autor:
Dong, Wenxiang, Zhao, H. Vicky
During a public health crisis like COVID-19, individuals' adoption of protective behaviors, such as self-isolation and wearing masks, can significantly impact the spread of the disease. In the meanwhile, the spread of the disease can also influence i
Externí odkaz:
http://arxiv.org/abs/2310.17112
According to mass media theory, the dissemination of messages and the evolution of opinions in social networks follow a two-step process. First, opinion leaders receive the message from the message sources, and then they transmit their opinions to no
Externí odkaz:
http://arxiv.org/abs/2309.05370
Social learning, a fundamental process through which individuals shape their beliefs and perspectives via observation and interaction with others, is critical for the development of our society and the functioning of social governance. Prior works on
Externí odkaz:
http://arxiv.org/abs/2309.05854
Epidemics such as COVID-19 pose serious threats to public health and our society, and it is critical to investigate effective methods to control the spread of epidemics over networks. Prior works on epidemic control often assume complete knowledge of
Externí odkaz:
http://arxiv.org/abs/2308.14311
Prospect Theory Based Individual Irrationality Modelling and Behavior Inducement in Pandemic Control
Autor:
Dong, Wenxiang, Zhao, H. Vicky
It is critical to understand and model the behavior of individuals in a pandemic, as well as identify effective ways to guide people's behavior in order to better control the epidemic spread. However, current research fails to account for the impact
Externí odkaz:
http://arxiv.org/abs/2307.08001