Hongmei Huang

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 8

Top Topics

Recurrent Neural Networks

Protein Structure

Top Venues

Publications

Alexander Arefolov, Laura Adam, Shoshana Brown, Yelena Budovskaya, Cong Chen, Diya Das, Chen Farhy, Rebecca Ferguson, Hongmei Huang, Kimberly Kanigel, Christina Lu, Oksana Polesskaya, Tracy Staton, Rajeev Tajhya, Maryann Whitley, Jee-Yeon Wong, Xiangpei Zeng, Mark McCreary
Implementation of the FAIR Data Principles for Exploratory Biomarker Data from Clinical Trials. Data Intell. 3 (4) (2021)
Yue Wang, Qingchao Zhu, Xiao-ou Song, Hongmei Huang, Qiu Yang
Research on Logistics Distribution Model of E-commerce Based on Improved Ant Colony Algorithm. IMIS (2020)
Qingchao Zhu, Yue Wang, Xiao-ou Song, Hongmei Huang
Design of Gradient Push Algorithm in Time-Varying Directed Graph. IMIS (2020)
Hongjie Wu, Hongmei Huang, Weizhong Lu, Qiming Fu, Yijie Ding, Jing Qiu, Haiou Li
Ranking near-native candidate protein structures via random forest classification. BMC Bioinform. (25) (2019)
Weizhong Lu, Zhengwei Song, Yijie Ding, Hongjie Wu, Hongmei Huang
A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information. ICIC (2) (2019)
Weizhong Lu, Yan Cao, Hongjie Wu, Hongmei Huang, Yijie Ding
Research on RNA Secondary Structure Prediction Based on Decision Tree. ICIC (2) (2019)
Weizhong Lu, Ye Tang, Hongjie Wu, Hongmei Huang, Qiming Fu, Jing Qiu, Haiou Li
Predicting RNA secondary structure via adaptive deep recurrent neural networks with energy-based filter. BMC Bioinform. (25) (2019)
Hongjie Wu, Ye Tang, Weizhong Lu, Cheng Chen, Hongmei Huang, Qiming Fu
RNA Secondary Structure Prediction Based on Long Short-Term Memory Model. ICIC (1) (2018)