Hanwang Zhang
Dados Biográficos
| ID | 9999116 |
|---|---|
| NOME | Hanwang Zhang |
| PRENOMES | Hanwang |
| SOBRENOME | Zhang |
| ASSINATURA | ZHANG H |
| AFILIAÇÕES | Tongji Hospital |
| ORCID | 0000-0001-7374-8739 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2017 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 0 |
Global, regional and national burdens of reproduction-related congenital birth defects, 1990–2019
Background Reproduction-related congenital birth defects (RCBDs), including Klinefelter syndrome (KS), Turner syndrome (TS), and urogenital congenital anomalies (UCA), can lead to severe physical and psychosocial disorders. The global impact of RCBDs on children and adults is unknown, which limits high-quality development of populations and increases in life expectancy per capita . Methods Annual incidence rates, prevalence rates (PR), and disabi…
Neural Collaborative Filtering
In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of deep neural networks on recommender systems has received relatively less scrutiny. In this work, we strive to develop techniques based on neural networks to tackle the key problem in recommendation --- collaborative filtering --- on the basis of implicit feedback.
Sem obras proeminentes nesta página.
Neural Collaborative Filtering
In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of deep neural networks on recommender systems has received relatively less scrutiny. In this work, we strive to develop techniques based on neural networks to tackle the key problem in recommendation --- collaborative filtering --- on the basis of implicit feedback.
Global, regional and national burdens of reproduction-related congenital birth defects, 1990–2019
Background Reproduction-related congenital birth defects (RCBDs), including Klinefelter syndrome (KS), Turner syndrome (TS), and urogenital congenital anomalies (UCA), can lead to severe physical and psychosocial disorders. The global impact of RCBDs on children and adults is unknown, which limits high-quality development of populations and increases in life expectancy per capita . Methods Annual incidence rates, prevalence rates (PR), and disabi…
Artificial Intelligence (1 obra) · Artificial neural network (1 obra) · Assisted Reproductive Technology and Twin Pregnancy (1 obra) · Biology (1 obra) · Collaborative filtering (1 obra) · Computer Science (1 obra) · Computer security (1 obra) · Deep neural networks (1 obra) · Demography (1 obra) · Folate and B Vitamins Research (1 obra)