Zobrazeno 1 - 10
of 1 968
pro vyhledávání: '"Taiyu An"'
Autor:
Xue Ren, Liang Liu, Bin Cui, Bin Cheng, Xiangxiang Zhao, Taiyu An, Ruiyue Chu, Mingfang Zhang, Weikang Liu, Guangjun Zhou, Weijie Kuai, Jifan Hu
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 5, Pp n/a-n/a (2024)
Abstract The topological Hall effect (THE) presents hump signals in the Hall resistance versus magnetic field hysteresis loop, showing promise for future spintronics due to its robust chiral magnetic textures. Here, it is shown that solid‐state pro
Externí odkaz:
https://doaj.org/article/ac77acfc21214c958254d3c04d8e66ca
Autor:
Haneji, Yuto, Nishimura, Taichi, Kameko, Hirotaka, Shirai, Keisuke, Yoshida, Tomoya, Kajimura, Keiya, Yamamoto, Koki, Cui, Taiyu, Nishimoto, Tomohiro, Mori, Shinsuke
Mistake action detection from egocentric videos is crucial for developing intelligent archives that detect workers' errors and provide feedback. Previous studies have been limited to specific domains, focused on detecting mistakes from videos without
Externí odkaz:
http://arxiv.org/abs/2410.05343
Publikováno v:
Taiyu Zhang, Xuesong Zhang, Robbe Cools, and Adalberto Simeone. 2024. Focus Agent: LLM-Powered Virtual Focus Group. In ACM International Conference on Intelligent Virtual Agents (IVA '24), September 16--19, 2024, GLASGOW, United Kingdom
In the domain of Human-Computer Interaction, focus groups represent a widely utilised yet resource-intensive methodology, often demanding the expertise of skilled moderators and meticulous preparatory efforts. This study introduces the ``Focus Agent,
Externí odkaz:
http://arxiv.org/abs/2409.01907
Autor:
Zhao, Jianbo, Zhuang, Jiaheng, Zhou, Qibin, Ban, Taiyu, Xu, Ziyao, Zhou, Hangning, Wang, Junhe, Wang, Guoan, Li, Zhiheng, Li, Bin
Trajectory generation is a pivotal task in autonomous driving. Recent studies have introduced the autoregressive paradigm, leveraging the state transition model to approximate future trajectory distributions. This paradigm closely mirrors the real-wo
Externí odkaz:
http://arxiv.org/abs/2407.12940
Autor:
Dhar, Mrinal Kanti, Wang, Chuanbo, Patel, Yash, Zhang, Taiyu, Niezgoda, Jeffrey, Gopalakrishnan, Sandeep, Chen, Keke, Yu, Zeyun
Identifying individual tissues, so-called tissue segmentation, in diabetic foot ulcer (DFU) images is a challenging task and little work has been published, largely due to the limited availability of a clinical image dataset. To address this gap, we
Externí odkaz:
http://arxiv.org/abs/2406.16012
Autor:
Piao, Chengzhe, Zhu, Taiyu, Wang, Yu, Baldeweg, Stephanie E, Taylor, Paul, Georgiou, Pantelis, Sun, Jiahao, Wang, Jun, Li, Kezhi
Newly diagnosed Type 1 Diabetes (T1D) patients often struggle to obtain effective Blood Glucose (BG) prediction models due to the lack of sufficient BG data from Continuous Glucose Monitoring (CGM), presenting a significant "cold start" problem in pa
Externí odkaz:
http://arxiv.org/abs/2406.15346
Autor:
Piao, Chengzhe, Zhu, Taiyu, Baldeweg, Stephanie E, Taylor, Paul, Georgiou, Pantelis, Sun, Jiahao, Wang, Jun, Li, Kezhi
Accurate prediction of future blood glucose (BG) levels can effectively improve BG management for people living with diabetes, thereby reducing complications and improving quality of life. The state of the art of BG prediction has been achieved by le
Externí odkaz:
http://arxiv.org/abs/2402.16230
Autor:
Cao, Anbo, Le, Pin-Yu, Qie, Zhonghui, Hassan, Haseeb, Guo, Yingwei, Zaman, Asim, Lu, Jiaxi, Zeng, Xueqiang, Yang, Huihui, Miao, Xiaoqiang, Han, Taiyu, Huang, Guangtao, Kang, Yan, Luo, Yu, Guo, Jia
Dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) is widely used to evaluate acute ischemic stroke to distinguish salvageable tissue and infarct core. For this purpose, traditional methods employ deconvolution techniques, like sing
Externí odkaz:
http://arxiv.org/abs/2312.05279
Causal discovery from observational data is pivotal for deciphering complex relationships. Causal Structure Learning (CSL), which focuses on deriving causal Directed Acyclic Graphs (DAGs) from data, faces challenges due to vast DAG spaces and data sp
Externí odkaz:
http://arxiv.org/abs/2311.11689
Autor:
Li, Weilin, Wang, Zhun, Li, Chenyu, Chen, Heying, Wong, Taiyu, Sun, Pengyu, Yu, Yufei, Zhang, Chao
The rapid growth and adoption of decentralized finance (DeFi) systems have been accompanied by various threats, notably those emerging from vulnerabilities in their intricate design. In our work, we introduce and define an attack strategy termed as R
Externí odkaz:
http://arxiv.org/abs/2310.01081