Zobrazeno 1 - 10
of 30 335
pro vyhledávání: '"Xu, Jian"'
Single domain generalization (Single-DG) intends to develop a generalizable model with only one single training domain to perform well on other unknown target domains. Under the domain-hungry configuration, how to expand the coverage of source domain
Externí odkaz:
http://arxiv.org/abs/2406.05980
Autor:
Luo, Sichun, Shao, Wei, Yao, Yuxuan, Xu, Jian, Liu, Mingyang, Li, Qintong, He, Bowei, Wang, Maolin, Deng, Guanzhi, Hou, Hanxu, Zhang, Xinyi, Song, Linqi
Nowadays, large language models (LLMs) have been integrated with conventional recommendation models to improve recommendation performance. However, while most of the existing works have focused on improving the model performance, the privacy issue ha
Externí odkaz:
http://arxiv.org/abs/2406.01363
Autor:
Guo, Jiayan, Huo, Yusen, Zhang, Zhilin, Wang, Tianyu, Yu, Chuan, Xu, Jian, Zhang, Yan, Zheng, Bo
Auto-bidding plays a crucial role in facilitating online advertising by automatically providing bids for advertisers. Reinforcement learning (RL) has gained popularity for auto-bidding. However, most current RL auto-bidding methods are modeled throug
Externí odkaz:
http://arxiv.org/abs/2405.16141
We study the properties of strangelets at finite temperature $T$, employing an equivparticle model that incorporates both linear confinement and leading-order perturbative interactions with density-dependent quark masses. The shell effects are analyz
Externí odkaz:
http://arxiv.org/abs/2405.14190
Autor:
Qiu, Shihan, Pan, Shaoyan, Liu, Yikang, Zhao, Lin, Xu, Jian, Liu, Qi, Chen, Terrence, Chen, Eric Z., Chen, Xiao, Sun, Shanhui
Current deep learning reconstruction for accelerated cardiac cine MRI suffers from spatial and temporal blurring. We aim to improve image sharpness and motion delineation for cine MRI under high undersampling rates. A spatiotemporal diffusion enhance
Externí odkaz:
http://arxiv.org/abs/2403.08758
Autor:
Qiu, Shihan, Pan, Shaoyan, Liu, Yikang, Zhao, Lin, Xu, Jian, Liu, Qi, Chen, Terrence, Chen, Eric Z., Chen, Xiao, Sun, Shanhui
The currently limited quality of accelerated cardiac cine reconstruction may potentially be improved by the emerging diffusion models, but the clinically unacceptable long processing time poses a challenge. We aim to develop a clinically feasible dif
Externí odkaz:
http://arxiv.org/abs/2403.08749
Autor:
Gong, Zhen, Niu, Lvyin, Zhao, Yang, Xu, Miao, Zheng, Zhenzhe, Zhang, Haoqi, Zhang, Zhilin, Wu, Fan, Bai, Rongquan, Yu, Chuan, Xu, Jian, Zheng, Bo
Online bidding and auction are crucial aspects of the online advertising industry. Conventionally, there is only one slot for ad display and most current studies focus on it. Nowadays, multi-slot display advertising is gradually becoming popular wher
Externí odkaz:
http://arxiv.org/abs/2403.02607
Autor:
Li, Haoming, Huo, Yusen, Dou, Shuai, Zheng, Zhenzhe, Zhang, Zhilin, Yu, Chuan, Xu, Jian, Wu, Fan
In online advertising, advertisers participate in ad auctions to acquire ad opportunities, often by utilizing auto-bidding tools provided by demand-side platforms (DSPs). The current auto-bidding algorithms typically employ reinforcement learning (RL
Externí odkaz:
http://arxiv.org/abs/2402.15102
Autor:
Duan, Zhijian, Sun, Haoran, Xia, Yichong, Wang, Siqiang, Zhang, Zhilin, Yu, Chuan, Xu, Jian, Zheng, Bo, Deng, Xiaotie
Automated auction design seeks to discover empirically high-revenue and incentive-compatible mechanisms using machine learning. Ensuring dominant strategy incentive compatibility (DSIC) is crucial, and the most effective approach is to confine the me
Externí odkaz:
http://arxiv.org/abs/2402.11904
Scientific novelty is the essential driving force for research breakthroughs and innovation. However, little is known about how early-career scientists pursue novel research paths, and the gender disparities in this process. To address this research
Externí odkaz:
http://arxiv.org/abs/2404.04259