Zobrazeno 1 - 10
of 885
pro vyhledávání: '"Zhang Kunpeng"'
Matching patients effectively and efficiently for clinical trials is a significant challenge due to the complexity and variability of patient profiles and trial criteria. This paper presents a novel framework, Multi-Agents for Knowledge Augmentation
Externí odkaz:
http://arxiv.org/abs/2411.14637
This paper studies the distributed bandit convex optimization problem with time-varying inequality constraints, where the goal is to minimize network regret and cumulative constraint violation. To calculate network cumulative constraint violation, ex
Externí odkaz:
http://arxiv.org/abs/2411.11574
In recent years, the application of generative artificial intelligence (GenAI) in financial analysis and investment decision-making has gained significant attention. However, most existing approaches rely on single-agent systems, which fail to fully
Externí odkaz:
http://arxiv.org/abs/2411.04788
Autor:
Zhang Kunpeng, Zhang Xiaoyu
Publikováno v:
Open Life Sciences, Vol 16, Iss 1, Pp 255-265 (2021)
Acute pancreatitis (AP) is a common inflammatory disorder. MicroRNAs play crucial roles in the pathogenesis of AP. In this article, we explored the detailed role and molecular mechanisms of miR-146b-3p in AP progression.
Externí odkaz:
https://doaj.org/article/9d9fccf974664dc79575a9b4d92bb453
Autor:
Sun, Mingwei, Zhang, Kunpeng
Video-based apparent affect detection plays a crucial role in video understanding, as it encompasses various elements such as vision, audio, audio-visual interactions, and spatiotemporal information, which are essential for accurate video predictions
Externí odkaz:
http://arxiv.org/abs/2408.15209
Autor:
Zhang, Kunpeng, Yi, Xinlei, Wen, Guanghui, Cao, Ming, Johansson, Karl H., Chai, Tianyou, Yang, Tao
This paper considers the distributed bandit convex optimization problem with time-varying inequality constraints over a network of agents, where the goal is to minimize network regret and cumulative constraint violation. Existing distributed online a
Externí odkaz:
http://arxiv.org/abs/2406.14060
Autor:
Xiao, Changrong, Ma, Wenxing, Song, Qingping, Xu, Sean Xin, Zhang, Kunpeng, Wang, Yufang, Fu, Qi
Receiving timely and personalized feedback is essential for second-language learners, especially when human instructors are unavailable. This study explores the effectiveness of Large Language Models (LLMs), including both proprietary and open-source
Externí odkaz:
http://arxiv.org/abs/2401.06431
Publikováno v:
Journal of Data and Information Science, Vol 1, Iss 1, Pp 28-49 (2017)
We propose and apply a simplified nowcasting model to understand the correlations between social attention and topic trends of scientific publications.
Externí odkaz:
https://doaj.org/article/5748bb2a58104956bb664e41e4e8f5b3
This paper focuses on the distributed online convex optimization problem with time-varying inequality constraints over a network of agents, where each agent collaborates with its neighboring agents to minimize the cumulative network-wide loss over ti
Externí odkaz:
http://arxiv.org/abs/2311.01957
Autor:
Yang Yuchen, Zhang Yaxin, Wang Qian, Li Xiaowei, Shuai Ying, Han Zixuan, Li Qiang, Zhang Kunpeng
Publikováno v:
E3S Web of Conferences, Vol 233, p 01067 (2021)
In order to solve the problem of waste of living water in Chifeng College Students' dormitory, the actual situation of water consumption in student dormitory was investigated. This paper analyzes the potential of water-saving and water-saving technol
Externí odkaz:
https://doaj.org/article/760db1f7f1094c5cbdfc6582092ffaa1