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Zhongliang(Douglas) Zhou
Zhongliang(Douglas) Zhou
在 merck.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases
R Taujale, A Venkat, LC Huang, Z Zhou, W Yeung, KM Rasheed, S Li, ...
elife 9, e54532, 2020
632020
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models
J Zhang*, Z Zhou*, G Mai, L Mu, M Hu, S Li
arXiv preprint arXiv:2304.10597, 2023
272023
Mapping the glycosyltransferase fold landscape using interpretable deep learning
R Taujale*, Z Zhou*, W Yeung, KW Moremen, S Li, N Kannan
Nature communications 12 (1), 1-12, 2021
262021
Alignment-free estimation of sequence conservation for identifying functional sites using protein sequence embeddings
W Yeung*, Z Zhou*, S Li, N Kannan
Briefings in Bioinformatics 24 (1), bbac599, 2023
102023
Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions
Z Zhou, W Yeung, N Gravel, M Salcedo, S Soleymani, S Li, N Kannan
Bioinformatics 39 (2), btad046, 2023
82023
Badsam: Exploring security vulnerabilities of sam via backdoor attacks
Z Guan*, M Hu*, Z Zhou*, J Zhang, S Li, N Liu
arXiv preprint arXiv:2305.03289, 2023
62023
Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies
W Yeung*, Z Zhou*, L Mathew, N Gravel, R Taujale, B O’Boyle, M Salcedo, ...
Briefings in Bioinformatics, 2023
42023
Identifying keystone species in the microbial community based on cross-sectional data
M Li, J Zhang, B Wu, Z Zhou, Y Xu
Current gene therapy 18 (5), 296-306, 2018
42018
Pigmentation-based visual learning for salvelinus fontinalis individual re-identification
Z Zhou, NP Hitt, BH Letcher, W Shi, S Li
2022 IEEE International Conference on Big Data (Big Data), 6850-6852, 2022
22022
Functional classification and validation of yeast prenylation motifs using machine learning and genetic reporters
BM Berger, W Yeung, A Goyal, Z Zhou, ER Hildebrandt, N Kannan, ...
Plos one 17 (6), e0270128, 2022
22022
Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years
W Shi, Z Zhou, BH Letcher, N Hitt, Y Kanno, R Futamura, O Kishida, ...
Australasian Joint Conference on Artificial Intelligence, 252-264, 2023
12023
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract)
Z Guan, M Hu, Z Zhou, J Zhang, S Li, N Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23506 …, 2024
2024
Methods and systems for phosphormer model evaluation
N Kannan, Z Zhongliang, S Li, W Yeung
US Patent App. 18/242,921, 2024
2024
Using explainable machine learning to uncover the kinase–substrate interaction landscape
Z Zhou, W Yeung, S Soleymani, N Gravel, M Salcedo, S Li, N Kannan
Bioinformatics 40 (2), btae033, 2024
2024
Informatic challenges and advances in illuminating the druggable proteome
ER Taujal, N Gravel, Z Zhou, W Yeung, K Kochut, N Kannan
Drug Discovery Today, 103894, 2024
2024
XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications
Z Zhou, M Hu, M Salcedo, N Gravel, W Yeung, A Venkat, D Guo, J Zhang, ...
arXiv preprint arXiv:2312.06082, 2023
2023
Causality-Based Black-Box Backdoor Detection
M Hu, Z Guan, Z Zhou, J Zhang, S Li
2023
Explaining the blackbox - Unraveling Protein Language Model's Learning Mechanisms for Kinase-Specific Phosphorylation Prediction
Z Zhou, W Yeung, S Soleymani, N Gravel, M Salcedo, S Li, N Kannan
International Conference on Machine Learning, Workshop on Computational …, 2023
2023
Mapping sequence-structure-function relationships in glycosyltransferases using deep learning models and data visualization tools
N Kannan, R Taujale, Z Zhou, A Venkat, S Soleymani, A Priyadarshi, ...
GLYCOBIOLOGY 31 (12), 1764-1764, 2021
2021
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