Zobrazeno 1 - 10
of 1 805
pro vyhledávání: '"Zhang, Yinan"'
Disease prediction holds considerable significance in modern healthcare, because of its crucial role in facilitating early intervention and implementing effective prevention measures. However, most recent disease prediction approaches heavily rely on
Externí odkaz:
http://arxiv.org/abs/2405.02935
Text-to-image diffusion models are a class of deep generative models that have demonstrated an impressive capacity for high-quality image generation. However, these models are susceptible to implicit biases that arise from web-scale text-image traini
Externí odkaz:
http://arxiv.org/abs/2401.12244
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation
Recommender systems have been gaining increasing research attention over the years. Most existing recommendation methods focus on capturing users' personalized preferences through historical user-item interactions, which may potentially violate user
Externí odkaz:
http://arxiv.org/abs/2308.08799
Real-world passive radiative cooling requires highly emissive, selective, and omnidirectional thermal emitters to maintain the radiative cooler at a certain temperature below the ambient temperature while maximizing the net cooling power. Despite var
Externí odkaz:
http://arxiv.org/abs/2306.05767
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 21, Pp 2600-2606 (2024)
Background The elderly colorectal cancer population has a high prevalence and complex condition, and postoperative rehabilitation faces various challenges. It is of great significance to construct a scientific, practical and comprehensive postoperati
Externí odkaz:
https://doaj.org/article/5d4baccab8814796a82f4a7e4894827d
Conversational recommendation system (CRS) is emerging as a user-friendly way to capture users' dynamic preferences over candidate items and attributes. Multi-shot CRS is designed to make recommendations multiple times until the user either accepts t
Externí odkaz:
http://arxiv.org/abs/2206.14468
Autor:
Wu, Tailin, Wang, Qinchen, Zhang, Yinan, Ying, Rex, Cao, Kaidi, Sosič, Rok, Jalali, Ridwan, Hamam, Hassan, Maucec, Marko, Leskovec, Jure
Subsurface simulations use computational models to predict the flow of fluids (e.g., oil, water, gas) through porous media. These simulations are pivotal in industrial applications such as petroleum production, where fast and accurate models are need
Externí odkaz:
http://arxiv.org/abs/2206.07680
Autor:
Zhang, Yinan, Wang, Pei, Liu, Congcong, Zhao, Xiwei, Qi, Hao, He, Jie, Jin, Junsheng, Peng, Changping, Lin, Zhangang, Shao, Jingping
Recently, Graph Convolutional Network (GCN) has become a novel state-of-art for Collaborative Filtering (CF) based Recommender Systems (RS). It is a common practice to learn informative user and item representations by performing embedding propagatio
Externí odkaz:
http://arxiv.org/abs/2204.03827
Publikováno v:
In Ocean Engineering 15 October 2024 310 Part 2
Autor:
Zhang, Yinan, Sun, Wenhui, Wang, Bingyi, Liu, Zhiqun, Liu, Zhiquan, Zhang, Xiaofang, Wang, Binhao, Han, Yu, Zhang, Hangjun
Publikováno v:
In Environmental Pollution 1 October 2024 358