Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Duan, Jiali"'
Publikováno v:
生物医学转化, Vol 5, Iss 3, Pp 13-19 (2024)
Objective This study aimed to evaluate the psychological health, quality of life, and sexual function in patients with Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome treated with biological graft vaginoplasty. Methods This study was a single-center
Externí odkaz:
https://doaj.org/article/2462a05711784f2fa317e4fa2beab579
Autor:
Peng, Li1 (AUTHOR) celipeng@163.com, Duan, Jiali2 (AUTHOR) luffyduan@163.com, Liang, Yu2 (AUTHOR) liangyu202407@163.com, Zhang, Haiqi2,3 (AUTHOR) zhhady@163.com, Duan, Chongxiong2 (AUTHOR) cechxduan@fosu.edu.cn, Liu, Sibin1 (AUTHOR) cechxduan@fosu.edu.cn
Publikováno v:
Molecules. Sep2024, Vol. 29 Issue 17, p4170. 17p.
Autor:
Zeng, Yilei, Duan, Jiali, Li, Yang, Ferrara, Emilio, Pinto, Lerrel, Kuo, C. -C. Jay, Nikolaidis, Stefanos
Human-centered AI considers human experiences with AI performance. While abundant research has been helping AI achieve superhuman performance either by fully automatic or weak supervision learning, fewer endeavors are experimenting with how AI can ta
Externí odkaz:
http://arxiv.org/abs/2208.02932
Language modality within the vision language pretraining framework is innately discretized, endowing each word in the language vocabulary a semantic meaning. In contrast, visual modality is inherently continuous and high-dimensional, which potentiall
Externí odkaz:
http://arxiv.org/abs/2208.00475
We study sequential decision making problems aimed at maximizing the expected total reward while satisfying a constraint on the expected total utility. We employ the natural policy gradient method to solve the discounted infinite-horizon optimal cont
Externí odkaz:
http://arxiv.org/abs/2206.02346
Autor:
Guo, Xiaoyuan, Duan, Jiali, Purkayastha, Saptarshi, Trivedi, Hari, Gichoya, Judy Wawira, Banerjee, Imon
Improving the retrieval relevance on noisy datasets is an emerging need for the curation of a large-scale clean dataset in the medical domain. While existing methods can be applied for class-wise retrieval (aka. inter-class), they cannot distinguish
Externí odkaz:
http://arxiv.org/abs/2204.03074
Aligning signals from different modalities is an important step in vision-language representation learning as it affects the performance of later stages such as cross-modality fusion. Since image and text typically reside in different regions of the
Externí odkaz:
http://arxiv.org/abs/2203.00048
Autor:
Yang, Jinyu, Duan, Jiali, Tran, Son, Xu, Yi, Chanda, Sampath, Chen, Liqun, Zeng, Belinda, Chilimbi, Trishul, Huang, Junzhou
Vision-language representation learning largely benefits from image-text alignment through contrastive losses (e.g., InfoNCE loss). The success of this alignment strategy is attributed to its capability in maximizing the mutual information (MI) betwe
Externí odkaz:
http://arxiv.org/abs/2202.10401
Autor:
Wang, Zhe1 (AUTHOR) wzhe99@163.com, Duan, Jiali1 (AUTHOR) jiali_duan@163.com, Luo, Fengzhang2 (AUTHOR) luofengzhang@tju.edu.cn, Wu, Xuan2 (AUTHOR) luofengzhang@tju.edu.cn
Publikováno v:
Energies (19961073). Jul2024, Vol. 17 Issue 14, p3583. 22p.
Autor:
Duan, Jiali, Kuo, C. -C. Jay
The fact that there exists a gap between low-level features and semantic meanings of images, called the semantic gap, is known for decades. Resolution of the semantic gap is a long standing problem. The semantic gap problem is reviewed and a survey o
Externí odkaz:
http://arxiv.org/abs/2107.13757