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Yu Zhang
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 12
Top Topics
Netflix Prize
Deep Learning
Information Theory
Influenza Virus
Top Venues
Briefings Bioinform.
BMC Bioinform.
Bioinform.
BIBM
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Publications
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Zhuoyi Lin
,
Lei Feng
,
Xingzhi Guo
,
Yu Zhang
,
Rui Yin
,
Chee Keong Kwoh
,
Chi Xu
COMET: Convolutional Dimension Interaction for Collaborative Filtering.
ACM Trans. Intell. Syst. Technol.
14 (4) (2023)
Yu Zhang
,
Cangzhi Jia
,
Chee Keong Kwoh
Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach.
Briefings Bioinform.
22 (4) (2021)
Yahui Long
,
Jiawei Luo
,
Yu Zhang
,
Yan Xia
Predicting human microbe-disease associations via graph attention networks with inductive matrix completion.
Briefings Bioinform.
22 (3) (2021)
Yu Zhang
,
Yichao Cai
,
Xavier Roca
,
Chee Keong Kwoh
,
Melissa Jane Fullwood
Chromatin loop anchors predict transcript and exon usage.
Briefings Bioinform.
22 (6) (2021)
Yu Zhang
,
Cangzhi Jia
,
Melissa Jane Fullwood
,
Chee Keong Kwoh
DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction.
Briefings Bioinform.
22 (2) (2021)
Yu Zhang
,
Yahui Long
,
Chee Keong Kwoh
Class similarity network for coding and long non-coding RNA classification.
BMC Bioinform.
22 (1) (2021)
Yahui Long
,
Yu Zhang
,
Min Wu
,
Shaoliang Peng
,
Chee Keong Kwoh
,
Jiawei Luo
,
Xiaoli Li
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks.
BIBM
(2020)
Rui Yin
,
Emil Luusua
,
Jan Dabrowski
,
Yu Zhang
,
Chee Keong Kwoh
Tempel: time-series mutation prediction of influenza A viruses via attention-based recurrent neural networks.
Bioinform.
36 (9) (2020)
Yu Zhang
,
Yahui Long
,
Chee Keong Kwoh
Deep learning based DNA: RNA triplex forming potential prediction.
BMC Bioinform.
21 (1) (2020)
Yu Zhang
,
Yahui Long
,
Rui Yin
,
Chee Keong Kwoh
DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation.
IEEE Access
8 (2020)
Yu Zhang
,
Zhuoyi Lin
,
Chee Keong Kwoh
Information Theory-Based Feature Selection: Minimum Distribution Similarity with Removed Redundancy.
ICCS (5)
(2020)
Rui Yin
,
Yu Zhang
,
Xinrui Zhou
,
Chee Keong Kwoh
Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.
J. Bioinform. Comput. Biol.
18 (1) (2020)